content: package org.opencv.test.imgproc;
  
  import java.util.ArrayList;
  import java.util.Arrays;
  import java.util.List;
  
  import org.opencv.core.Core;
  import org.opencv.core.CvType;
  import org.opencv.core.Mat;
  import org.opencv.core.MatOfFloat;
  import org.opencv.core.MatOfInt;
  import org.opencv.core.MatOfInt4;
  import org.opencv.core.MatOfPoint;
  import org.opencv.core.MatOfPoint2f;
  import org.opencv.core.Point;
  import org.opencv.core.Rect;
  import org.opencv.core.RotatedRect;
  import org.opencv.core.Scalar;
  import org.opencv.core.Size;
  import org.opencv.core.TermCriteria;
  import org.opencv.imgproc.Imgproc;
  import org.opencv.test.OpenCVTestCase;
  
  public class ImgprocTest extends OpenCVTestCase {
  
      Point anchorPoint;
      private int imgprocSz;
      Size size;
  
      @Override
      protected void setUp() throws Exception {
          super.setUp();
  
          imgprocSz = 2;
          anchorPoint = new Point(2, 2);
          size = new Size(3, 3);
      }
  
      public void testAccumulateMatMat() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat dst = getMat(CvType.CV_64F, 0);
          Mat dst2 = src.clone();
  
          Imgproc.accumulate(src, dst);
          Imgproc.accumulate(src, dst2);
  
          assertMatEqual(src, dst, EPS);
          assertMatEqual(getMat(CvType.CV_64F, 4), dst2, EPS);
      }
  
      public void testAccumulateMatMatMat() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat mask = makeMask(getMat(CvType.CV_8U, 1));
          Mat dst = getMat(CvType.CV_64F, 0);
          Mat dst2 = src.clone();
  
          Imgproc.accumulate(src, dst, mask);
          Imgproc.accumulate(src, dst2, mask);
  
          assertMatEqual(makeMask(getMat(CvType.CV_64F, 2)), dst, EPS);
          assertMatEqual(makeMask(getMat(CvType.CV_64F, 4), 2), dst2, EPS);
      }
  
      public void testAccumulateProductMatMatMat() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat dst = getMat(CvType.CV_64F, 0);
          Mat dst2 = src.clone();
  
          Imgproc.accumulateProduct(src, src, dst);
          Imgproc.accumulateProduct(src, dst, dst2);
  
          assertMatEqual(getMat(CvType.CV_64F, 4), dst, EPS);
          assertMatEqual(getMat(CvType.CV_64F, 10), dst2, EPS);
      }
  
      public void testAccumulateProductMatMatMatMat() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat mask = makeMask(getMat(CvType.CV_8U, 1));
          Mat dst = getMat(CvType.CV_64F, 0);
          Mat dst2 = src.clone();
  
          Imgproc.accumulateProduct(src, src, dst, mask);
          Imgproc.accumulateProduct(src, dst, dst2, mask);
  
          assertMatEqual(makeMask(getMat(CvType.CV_64F, 4)), dst, EPS);
          assertMatEqual(makeMask(getMat(CvType.CV_64F, 10), 2), dst2, EPS);
      }
  
      public void testAccumulateSquareMatMat() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat dst = getMat(CvType.CV_64F, 0);
          Mat dst2 = src.clone();
  
          Imgproc.accumulateSquare(src, dst);
          Imgproc.accumulateSquare(src, dst2);
  
          assertMatEqual(getMat(CvType.CV_64F, 4), dst, EPS);
          assertMatEqual(getMat(CvType.CV_64F, 6), dst2, EPS);
      }
  
      public void testAccumulateSquareMatMatMat() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat mask = makeMask(getMat(CvType.CV_8U, 1));
          Mat dst = getMat(CvType.CV_64F, 0);
          Mat dst2 = src.clone();
  
          Imgproc.accumulateSquare(src, dst, mask);
          Imgproc.accumulateSquare(src, dst2, mask);
  
          assertMatEqual(makeMask(getMat(CvType.CV_64F, 4)), dst, EPS);
          assertMatEqual(makeMask(getMat(CvType.CV_64F, 6), 2), dst2, EPS);
      }
  
      public void testAccumulateWeightedMatMatDouble() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat dst = getMat(CvType.CV_64F, 4);
          Mat dst2 = src.clone();
  
          Imgproc.accumulateWeighted(src, dst, 0.5);
          Imgproc.accumulateWeighted(src, dst2, 2);
  
          assertMatEqual(getMat(CvType.CV_64F, 3), dst, EPS);
          assertMatEqual(getMat(CvType.CV_64F, 2), dst2, EPS);
      }
  
      public void testAccumulateWeightedMatMatDoubleMat() {
          Mat src = getMat(CvType.CV_64F, 2);
          Mat mask = makeMask(getMat(CvType.CV_8U, 1));
          Mat dst = getMat(CvType.CV_64F, 4);
          Mat dst2 = src.clone();
  
          Imgproc.accumulateWeighted(src, dst, 0.5, mask);
          Imgproc.accumulateWeighted(src, dst2, 2, mask);
  
          assertMatEqual(makeMask(getMat(CvType.CV_64F, 3), 4), dst, EPS);
          assertMatEqual(getMat(CvType.CV_64F, 2), dst2, EPS);
      }
  
      public void testAdaptiveThreshold() {
          Mat src = makeMask(getMat(CvType.CV_8U, 50), 20);
          Mat dst = new Mat();
  
          Imgproc.adaptiveThreshold(src, dst, 1, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 3, 0);
  
          assertEquals(src.rows(), Core.countNonZero(dst));
      }
  
      public void testApproxPolyDP() {
          MatOfPoint2f curve = new MatOfPoint2f(new Point(1, 3), new Point(2, 4), new Point(3, 5), new Point(4, 4), new Point(5, 3));
  
          MatOfPoint2f approxCurve = new MatOfPoint2f();
  
          Imgproc.approxPolyDP(curve, approxCurve, EPS, true);
  
          List<Point> approxCurveGold =  new ArrayList<Point>(3);
          approxCurveGold.add(new Point(1, 3));
          approxCurveGold.add(new Point(3, 5));
          approxCurveGold.add(new Point(5, 3));
  
          assertListPointEquals(approxCurve.toList(), approxCurveGold, EPS);
      }
  
      public void testArcLength() {
          MatOfPoint2f curve = new MatOfPoint2f(new Point(1, 3), new Point(2, 4), new Point(3, 5), new Point(4, 4), new Point(5, 3));
  
          double arcLength = Imgproc.arcLength(curve, false);
  
          assertEquals(5.656854249, arcLength, 0.000001);
      }
  
      public void testBilateralFilterMatMatIntDoubleDouble() {
          Imgproc.bilateralFilter(gray255, dst, 5, 10, 5);
  
          assertMatEqual(gray255, dst);
          // TODO_: write better test
      }
  
      public void testBilateralFilterMatMatIntDoubleDoubleInt() {
          Imgproc.bilateralFilter(gray255, dst, 5, 10, 5, Core.BORDER_REFLECT);
  
          assertMatEqual(gray255, dst);
          // TODO_: write better test
      }
  
      public void testBlurMatMatSize() {
          Imgproc.blur(gray0, dst, size);
          assertMatEqual(gray0, dst);
  
          Imgproc.blur(gray255, dst, size);
          assertMatEqual(gray255, dst);
          // TODO_: write better test
      }
  
      public void testBlurMatMatSizePoint() {
          Imgproc.blur(gray0, dst, size, anchorPoint);
          assertMatEqual(gray0, dst);
          // TODO_: write better test
      }
  
      public void testBlurMatMatSizePointInt() {
          Imgproc.blur(gray0, dst, size, anchorPoint, Core.BORDER_REFLECT);
          assertMatEqual(gray0, dst);
          // TODO_: write better test
      }
  
      public void testBoundingRect() {
          MatOfPoint points = new MatOfPoint(new Point(0, 0), new Point(0, 4), new Point(4, 0), new Point(4, 4));
          Point p1 = new Point(1, 1);
          Point p2 = new Point(-5, -2);
  
          Rect bbox = Imgproc.boundingRect(points);
  
          assertTrue(bbox.contains(p1));
          assertFalse(bbox.contains(p2));
      }
  
      public void testBoxFilterMatMatIntSize() {
          Size size = new Size(3, 3);
          Imgproc.boxFilter(gray0, dst, 8, size);
          assertMatEqual(gray0, dst);
          // TODO_: write better test
      }
  
      public void testBoxFilterMatMatIntSizePointBoolean() {
          Imgproc.boxFilter(gray255, dst, 8, size, anchorPoint, false);
          assertMatEqual(gray255, dst);
          // TODO_: write better test
      }
  
      public void testBoxFilterMatMatIntSizePointBooleanInt() {
          Imgproc.boxFilter(gray255, dst, 8, size, anchorPoint, false, Core.BORDER_REFLECT);
          assertMatEqual(gray255, dst);
          // TODO_: write better test
      }
  
      public void testCalcBackProject() {
          List<Mat> images = Arrays.asList(grayChess);
          MatOfInt channels = new MatOfInt(0);
          MatOfInt histSize = new MatOfInt(10);
          MatOfFloat ranges = new MatOfFloat(0f, 256f);
  
          Mat hist = new Mat();
          Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
          Core.normalize(hist, hist);
  
          Imgproc.calcBackProject(images, channels, hist, dst, ranges, 255);
  
          assertEquals(grayChess.size(), dst.size());
          assertEquals(grayChess.depth(), dst.depth());
          assertFalse(0 == Core.countNonZero(dst));
      }
  
      public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat() {
          List<Mat> images = Arrays.asList(gray128);
          MatOfInt channels = new MatOfInt(0);
          MatOfInt histSize = new MatOfInt(10);
          MatOfFloat ranges = new MatOfFloat(0f, 256f);
          Mat hist = new Mat();
  
          Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
  
          truth = new Mat(10, 1, CvType.CV_32F, Scalar.all(0)) {
              {
                  put(5, 0, 100);
              }
          };
          assertMatEqual(truth, hist, EPS);
      }
  
      public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat2D() {
          List<Mat> images = Arrays.asList(gray255, gray128);
          MatOfInt channels = new MatOfInt(0, 1);
          MatOfInt histSize = new MatOfInt(10, 10);
          MatOfFloat ranges = new MatOfFloat(0f, 256f, 0f, 256f);
          Mat hist = new Mat();
  
          Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
  
          truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0)) {
              {
                  put(9, 5, 100);
              }
          };
          assertMatEqual(truth, hist, EPS);
      }
  
      public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat3D() {
          List<Mat> images = Arrays.asList(rgbLena);
  
          Mat hist3D = new Mat();
          List<Mat> histList = Arrays.asList( new Mat[] {new Mat(), new Mat(), new Mat()} );
  
          MatOfInt histSize = new MatOfInt(10);
          MatOfFloat ranges = new MatOfFloat(0f, 256f);
  
          for(int i=0; i<rgbLena.channels(); i++)
          {
              Imgproc.calcHist(images, new MatOfInt(i), new Mat(), histList.get(i), histSize, ranges);
  
              assertEquals(10, histList.get(i).checkVector(1));
          }
  
          Core.merge(histList, hist3D);
  
          assertEquals(CvType.CV_32FC3, hist3D.type());
          assertEquals(10, hist3D.checkVector(3));
  
          Mat truth = new Mat(10, 1, CvType.CV_32FC3);
          truth.put(0, 0,
                   0, 24870, 0,
                   1863, 31926, 1,
                   56682, 37677, 2260,
                   77278, 44751, 32436,
                   69397, 41343, 18526,
                   27180, 40407, 18658,
                   21101, 15993, 32042,
                   8343, 18585, 47786,
                   300, 6567, 80988,
                   0, 25, 29447
                  );
  
          assertMatEqual(truth, hist3D, EPS);
      }
  
      public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloatBoolean() {
          List<Mat> images = Arrays.asList(gray255, gray128);
          MatOfInt channels = new MatOfInt(0, 1);
          MatOfInt histSize = new MatOfInt(10, 10);
          MatOfFloat ranges = new MatOfFloat(0f, 256f, 0f, 256f);
          Mat hist = new Mat();
  
          Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges, true);
  
          truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0)) {
              {
                  put(9, 5, 100);
              }
          };
          assertMatEqual(truth, hist, EPS);
      }
  
      public void testCannyMatMatDoubleDouble() {
          Imgproc.Canny(gray255, dst, 5, 10);
          assertMatEqual(gray0, dst);
          // TODO_: write better test
      }
  
      public void testCannyMatMatDoubleDoubleIntBoolean() {
          Imgproc.Canny(gray0, dst, 5, 10, 5, true);
          assertMatEqual(gray0, dst);
          // TODO_: write better test
      }
  
      public void testCompareHist() {
          Mat H1 = new Mat(3, 1, CvType.CV_32F);
          Mat H2 = new Mat(3, 1, CvType.CV_32F);
          H1.put(0, 0, 1, 2, 3);
          H2.put(0, 0, 4, 5, 6);
  
          double distance = Imgproc.compareHist(H1, H2, Imgproc.CV_COMP_CORREL);
  
          assertEquals(1., distance, EPS);
      }
  
      public void testContourAreaMat() {
          Mat contour = new Mat(1, 4, CvType.CV_32FC2);
          contour.put(0, 0, 0, 0, 10, 0, 10, 10, 5, 4);
  
          double area = Imgproc.contourArea(contour);
  
          assertEquals(45., area, EPS);
      }
  
      public void testContourAreaMatBoolean() {
          Mat contour = new Mat(1, 4, CvType.CV_32FC2);
          contour.put(0, 0, 0, 0, 10, 0, 10, 10, 5, 4);
  
          double area = Imgproc.contourArea(contour, true);
  
          assertEquals(45., area, EPS);
          // TODO_: write better test
      }
  
      public void testConvertMapsMatMatMatMatInt() {
          Mat map1 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(1));
          Mat map2 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(2));
          Mat dstmap1 = new Mat(1, 4, CvType.CV_16SC2);
          Mat dstmap2 = new Mat(1, 4, CvType.CV_16UC1);
  
          Imgproc.convertMaps(map1, map2, dstmap1, dstmap2, CvType.CV_16SC2);
  
          Mat truthMap1 = new Mat(1, 4, CvType.CV_16SC2);
          truthMap1.put(0, 0, 1, 2, 1, 2, 1, 2, 1, 2);
          assertMatEqual(truthMap1, dstmap1);
          Mat truthMap2 = new Mat(1, 4, CvType.CV_16UC1, new Scalar(0));
          assertMatEqual(truthMap2, dstmap2);
      }
  
      public void testConvertMapsMatMatMatMatIntBoolean() {
          Mat map1 = new Mat(1, 3, CvType.CV_32FC1, new Scalar(2));
          Mat map2 = new Mat(1, 3, CvType.CV_32FC1, new Scalar(4));
          Mat dstmap1 = new Mat(1, 3, CvType.CV_16SC2);
          Mat dstmap2 = new Mat(1, 3, CvType.CV_16UC1);
  
          Imgproc.convertMaps(map1, map2, dstmap1, dstmap2, CvType.CV_16SC2, false);
          // TODO_: write better test (last param == true)
  
          Mat truthMap1 = new Mat(1, 3, CvType.CV_16SC2);
          truthMap1.put(0, 0, 2, 4, 2, 4, 2, 4);
          assertMatEqual(truthMap1, dstmap1);
          Mat truthMap2 = new Mat(1, 3, CvType.CV_16UC1, new Scalar(0));
          assertMatEqual(truthMap2, dstmap2);
      }
  
      public void testConvexHullMatMat() {
          MatOfPoint points = new MatOfPoint(
                  new Point(20, 0),
                  new Point(40, 0),
                  new Point(30, 20),
                  new Point(0,  20),
                  new Point(20, 10),
                  new Point(30, 10)
          );
  
          MatOfInt hull = new MatOfInt();
  
          Imgproc.convexHull(points, hull);
  
          MatOfInt expHull = new MatOfInt(
                  0, 1, 2, 3
          );
          assertMatEqual(expHull, hull, EPS);
      }
  
      public void testConvexHullMatMatBooleanBoolean() {
          MatOfPoint points = new MatOfPoint(
                  new Point(2, 0),
                  new Point(4, 0),
                  new Point(3, 2),
                  new Point(0, 2),
                  new Point(2, 1),
                  new Point(3, 1)
          );
  
          MatOfInt hull = new MatOfInt();
  
          Imgproc.convexHull(points, hull, true);
  
          MatOfInt expHull = new MatOfInt(
                  3, 2, 1, 0
          );
          assertMatEqual(expHull, hull, EPS);
      }
  
      public void testConvexityDefects() {
          MatOfPoint points = new MatOfPoint(
                  new Point(20, 0),
                  new Point(40, 0),
                  new Point(30, 20),
                  new Point(0,  20),
                  new Point(20, 10),
                  new Point(30, 10)
          );
  
          MatOfInt hull = new MatOfInt();
          Imgproc.convexHull(points, hull);
  
          MatOfInt4 convexityDefects = new MatOfInt4();
          Imgproc.convexityDefects(points, hull, convexityDefects);
  
          assertMatEqual(new MatOfInt4(3, 0, 5, 3620), convexityDefects);
      }
  
      public void testCornerEigenValsAndVecsMatMatIntInt() {
          fail("Not yet implemented");
          // TODO: write better test
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1);
          src.put(0, 0, 1, 2);
          src.put(1, 0, 4, 2);
  
          int blockSize = 3;
          int ksize = 5;
  
          // TODO: eigen vals and vectors returned = 0 for most src matrices
          Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize);
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC(6), new Scalar(0));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testCornerEigenValsAndVecsMatMatIntIntInt() {
          fail("Not yet implemented");
          // TODO: write better test
          Mat src = new Mat(4, 4, CvType.CV_32FC1, new Scalar(128));
  
          int blockSize = 3;
          int ksize = 5;
  
          truth = new Mat(4, 4, CvType.CV_32FC(6), new Scalar(0));
  
          Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize, Core.BORDER_REFLECT);
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testCornerHarrisMatMatIntIntDouble() {
          fail("Not yet implemented");
          // TODO: write better test
  
          truth = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
          int blockSize = 5;
          int ksize = 7;
          double k = 0.1;
          Imgproc.cornerHarris(gray128, dst, blockSize, ksize, k);
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testCornerHarrisMatMatIntIntDoubleInt() {
          fail("Not yet implemented");
          // TODO: write better test
  
          truth = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
          int blockSize = 5;
          int ksize = 7;
          double k = 0.1;
          Imgproc.cornerHarris(gray255, dst, blockSize, ksize, k, Core.BORDER_REFLECT);
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testCornerMinEigenValMatMatInt() {
          fail("Not yet implemented");
          // TODO: write better test
  
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1);
          src.put(0, 0, 1, 2);
          src.put(1, 0, 2, 1);
          int blockSize = 5;
  
          Imgproc.cornerMinEigenVal(src, dst, blockSize);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
  
          Imgproc.cornerMinEigenVal(gray255, dst, blockSize);
  
          truth = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testCornerMinEigenValMatMatIntInt() {
          Mat src = Mat.eye(3, 3, CvType.CV_32FC1);
          int blockSize = 3;
          int ksize = 5;
  
          Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize);
  
          truth = new Mat(3, 3, CvType.CV_32FC1) {
              {
                  put(0, 0, 1. / 18, 1. / 36, 1. / 18);
                  put(1, 0, 1. / 36, 1. / 18, 1. / 36);
                  put(2, 0, 1. / 18, 1. / 36, 1. / 18);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testCornerMinEigenValMatMatIntIntInt() {
          Mat src = Mat.eye(3, 3, CvType.CV_32FC1);
          int blockSize = 3;
          int ksize = 5;
  
          Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize, Core.BORDER_REFLECT);
  
          truth = new Mat(3, 3, CvType.CV_32FC1) {
              {
                  put(0, 0, 0.68055558, 0.92708349, 0.5868057);
                  put(1, 0, 0.92708343, 0.92708343, 0.92708343);
                  put(2, 0, 0.58680564, 0.92708343, 0.68055564);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testCornerSubPix() {
          Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(128));
          Point truthPosition = new Point(img.cols() / 2, img.rows() / 2);
  
          Rect r = new Rect(new Point(0, 0), truthPosition);
          Imgproc.rectangle(img, r.tl(), r.br(), new Scalar(0), Imgproc.FILLED);
          MatOfPoint2f corners = new MatOfPoint2f(new Point(truthPosition.x + 1, truthPosition.y + 1));
          Size winSize = new Size(2, 2);
          Size zeroZone = new Size(-1, -1);
          TermCriteria criteria = new TermCriteria(TermCriteria.EPS, 0, 0.01);
  
          Imgproc.cornerSubPix(img, corners, winSize, zeroZone, criteria);
  
          assertPointEquals(truthPosition, corners.toList().get(0), weakEPS);
      }
  
      public void testCvtColorMatMatInt() {
          fail("Not yet implemented");
      }
  
      public void testCvtColorMatMatIntInt() {
          fail("Not yet implemented");
      }
  
      public void testDilateMatMatMat() {
          Mat kernel = new Mat();
  
          Imgproc.dilate(gray255, dst, kernel);
  
          assertMatEqual(gray255, dst);
  
          Imgproc.dilate(gray1, dst, kernel);
  
          assertMatEqual(gray1, dst);
          // TODO_: write better test
      }
  
      public void testDilateMatMatMatPoint() {
          fail("Not yet implemented");
      }
  
      public void testDilateMatMatMatPointInt() {
          fail("Not yet implemented");
      }
  
      public void testDilateMatMatMatPointIntInt() {
          fail("Not yet implemented");
      }
  
      public void testDilateMatMatMatPointIntIntScalar() {
          fail("Not yet implemented");
      }
  
      public void testDistanceTransformWithLabels() {
          Mat dstLables = getMat(CvType.CV_32SC1, 0);
          Mat labels = new Mat();
  
          Imgproc.distanceTransformWithLabels(gray128, dst, labels, Imgproc.CV_DIST_L2, 3);
  
          assertMatEqual(dstLables, labels);
          assertMatEqual(getMat(CvType.CV_32FC1, 8192), dst, EPS);
      }
  
      public void testDrawContoursMatListOfMatIntScalar() {
          Imgproc.rectangle(gray0, new Point(1, 2), new Point(7, 8), new Scalar(100));
          List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
          Imgproc.findContours(gray0, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
  
          Imgproc.drawContours(gray0, contours, -1, new Scalar(0));
  
          assertEquals(0, Core.countNonZero(gray0));
      }
  
      public void testDrawContoursMatListOfMatIntScalarInt() {
          Imgproc.rectangle(gray0, new Point(1, 2), new Point(7, 8), new Scalar(100));
          List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
          Imgproc.findContours(gray0, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
  
          Imgproc.drawContours(gray0, contours, -1, new Scalar(0), Imgproc.FILLED);
  
          assertEquals(0, Core.countNonZero(gray0));
      }
  
  
      public void testDrawContoursMatListOfMatIntScalarIntIntMatIntPoint() {
          fail("Not yet implemented");
      }
  
      public void testEqualizeHist() {
          Imgproc.equalizeHist(gray0, dst);
          assertMatEqual(gray0, dst);
  
          Imgproc.equalizeHist(gray255, dst);
          assertMatEqual(gray255, dst);
          // TODO_: write better test
      }
  
      public void testErodeMatMatMat() {
          Mat kernel = new Mat();
  
          Imgproc.erode(gray128, dst, kernel);
  
          assertMatEqual(gray128, dst);
      }
  
      public void testErodeMatMatMatPointInt() {
          Mat src = new Mat(3, 3, CvType.CV_8U) {
              {
                  put(0, 0, 15, 9, 10);
                  put(1, 0, 10, 8, 12);
                  put(2, 0, 12, 20, 25);
              }
          };
          Mat kernel = new Mat();
  
          Imgproc.erode(src, dst, kernel, anchorPoint, 10);
  
          truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8));
          assertMatEqual(truth, dst);
      }
  
      public void testErodeMatMatMatPointIntIntScalar() {
          Mat src = new Mat(3, 3, CvType.CV_8U) {
              {
                  put(0, 0, 15, 9, 10);
                  put(1, 0, 10, 8, 12);
                  put(2, 0, 12, 20, 25);
              }
          };
          Mat kernel = new Mat();
          Scalar sc = new Scalar(3, 3);
  
          Imgproc.erode(src, dst, kernel, anchorPoint, 10, Core.BORDER_REFLECT, sc);
  
          truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8));
          assertMatEqual(truth, dst);
      }
  
      public void testFilter2DMatMatIntMat() {
          Mat src = Mat.eye(4, 4, CvType.CV_32F);
          Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1));
  
          Imgproc.filter2D(src, dst, -1, kernel);
  
          truth = new Mat(4, 4, CvType.CV_32F) {
              {
                  put(0, 0, 2, 2, 1, 0);
                  put(1, 0, 2, 2, 1, 0);
                  put(2, 0, 1, 1, 2, 1);
                  put(3, 0, 0, 0, 1, 2);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testFilter2DMatMatIntMatPointDouble() {
          fail("Not yet implemented");
      }
  
      public void testFilter2DMatMatIntMatPointDoubleInt() {
          Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
          Point point = new Point(0, 0);
  
          Imgproc.filter2D(gray128, dst, -1, kernel, point, 2, Core.BORDER_CONSTANT);
  
          assertMatEqual(gray2, dst);
      }
  
      public void testFindContoursMatListOfMatMatIntInt() {
          Mat img = new Mat(50, 50, CvType.CV_8UC1, new Scalar(0));
          List<MatOfPoint> contours = new ArrayList<MatOfPoint>(5);
          Mat hierarchy = new Mat();
  
          Imgproc.findContours(img, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
  
          // no contours on empty image
          assertEquals(contours.size(), 0);
          assertEquals(contours.size(), hierarchy.total());
  
          Imgproc.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, Imgproc.LINE_AA, 0);
          Imgproc.rectangle(img, new Point(30, 35), new Point(40, 45), new Scalar(200));
  
          Imgproc.findContours(img, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
  
          // two contours of two rectangles
          assertEquals(contours.size(), 2);
          assertEquals(contours.size(), hierarchy.total());
      }
  
      public void testFindContoursMatListOfMatMatIntIntPoint() {
          Mat img = new Mat(50, 50, CvType.CV_8UC1, new Scalar(0));
          Mat img2 = img.submat(5, 50, 3, 50);
          List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
          List<MatOfPoint> contours2 = new ArrayList<MatOfPoint>();
          Mat hierarchy = new Mat();
  
          Imgproc.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, Imgproc.LINE_AA, 0);
          Imgproc.rectangle(img, new Point(30, 35), new Point(40, 45), new Scalar(200));
  
          Imgproc.findContours(img, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
          Imgproc.findContours(img2, contours2, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE, new Point(3, 5));
  
          assertEquals(contours.size(), contours2.size());
          assertMatEqual(contours.get(0), contours2.get(0));
          /*
          Log.d("findContours", "hierarchy=" + hierarchy);
          int iBuff[] = new int[ (int) (hierarchy.total() * hierarchy.channels()) ]; // [ Contour0 (next sibling num, previous sibling num, 1st child num, parent num), Contour1(...), ...
          hierarchy.get(0, 0, iBuff);
          Log.d("findContours", Arrays.toString(iBuff));
          */
      }
  
      public void testFitEllipse() {
          MatOfPoint2f points = new MatOfPoint2f(new Point(0, 0), new Point(-1, 1), new Point(1, 1), new Point(1, -1), new Point(-1, -1));
          RotatedRect rrect = new RotatedRect();
  
          rrect = Imgproc.fitEllipse(points);
  
          double FIT_ELLIPSE_CENTER_EPS = 0.01;
          double FIT_ELLIPSE_SIZE_EPS = 0.4;
  
          assertEquals(0.0, rrect.center.x, FIT_ELLIPSE_CENTER_EPS);
          assertEquals(0.0, rrect.center.y, FIT_ELLIPSE_CENTER_EPS);
          assertEquals(2.828, rrect.size.width, FIT_ELLIPSE_SIZE_EPS);
          assertEquals(2.828, rrect.size.height, FIT_ELLIPSE_SIZE_EPS);
      }
  
      public void testFitLine() {
          Mat points = new Mat(1, 4, CvType.CV_32FC2);
          points.put(0, 0, 0, 0, 2, 3, 3, 4, 5, 8);
  
          Mat linePoints = new Mat(4, 1, CvType.CV_32FC1);
          linePoints.put(0, 0, 0.53198653, 0.84675282, 2.5, 3.75);
  
          Imgproc.fitLine(points, dst, Imgproc.CV_DIST_L12, 0, 0.01, 0.01);
  
          assertMatEqual(linePoints, dst, EPS);
      }
  
      public void testFloodFillMatMatPointScalar() {
          Mat mask = new Mat(matSize + 2, matSize + 2, CvType.CV_8U, new Scalar(0));
          Mat img = gray0;
          Imgproc.circle(mask, new Point(matSize / 2 + 1, matSize / 2 + 1), 3, new Scalar(2));
  
          int retval = Imgproc.floodFill(img, mask, new Point(matSize / 2, matSize / 2), new Scalar(1));
  
          assertEquals(Core.countNonZero(img), retval);
          Imgproc.circle(mask, new Point(matSize / 2 + 1, matSize / 2 + 1), 3, new Scalar(0));
          assertEquals(retval + 4 * (matSize + 1), Core.countNonZero(mask));
          assertMatEqual(mask.submat(1, matSize + 1, 1, matSize + 1), img);
      }
  
      public void testFloodFillMatMatPointScalar_WithoutMask() {
          Mat img = gray0;
          Imgproc.circle(img, new Point(matSize / 2, matSize / 2), 3, new Scalar(2));
  
          // TODO: ideally we should pass null instead of "new Mat()"
          int retval = Imgproc.floodFill(img, new Mat(), new Point(matSize / 2, matSize / 2), new Scalar(1));
  
          Imgproc.circle(img, new Point(matSize / 2, matSize / 2), 3, new Scalar(0));
          assertEquals(Core.countNonZero(img), retval);
      }
  
      public void testFloodFillMatMatPointScalarRect() {
          fail("Not yet implemented");
      }
  
      public void testFloodFillMatMatPointScalarRectScalar() {
          fail("Not yet implemented");
      }
  
      public void testFloodFillMatMatPointScalarRectScalarScalar() {
          fail("Not yet implemented");
      }
  
      public void testFloodFillMatMatPointScalarRectScalarScalarInt() {
          fail("Not yet implemented");
      }
  
      public void testGaussianBlurMatMatSizeDouble() {
          Imgproc.GaussianBlur(gray0, dst, size, 1);
          assertMatEqual(gray0, dst);
  
          Imgproc.GaussianBlur(gray2, dst, size, 1);
          assertMatEqual(gray2, dst);
      }
  
      public void testGaussianBlurMatMatSizeDoubleDouble() {
          Imgproc.GaussianBlur(gray2, dst, size, 0, 0);
  
          assertMatEqual(gray2, dst);
          // TODO_: write better test
      }
  
      public void testGaussianBlurMatMatSizeDoubleDoubleInt() {
          Imgproc.GaussianBlur(gray2, dst, size, 1, 3, Core.BORDER_REFLECT);
  
          assertMatEqual(gray2, dst);
          // TODO_: write better test
      }
  
      public void testGetAffineTransform() {
          MatOfPoint2f src = new MatOfPoint2f(new Point(2, 3), new Point(3, 1), new Point(1, 4));
          MatOfPoint2f dst = new MatOfPoint2f(new Point(3, 3), new Point(7, 4), new Point(5, 6));
  
          Mat transform = Imgproc.getAffineTransform(src, dst);
  
          Mat truth = new Mat(2, 3, CvType.CV_64FC1) {
              {
                  put(0, 0, -8, -6, 37);
                  put(1, 0, -7, -4, 29);
              }
          };
          assertMatEqual(truth, transform, EPS);
      }
  
      public void testGetDerivKernelsMatMatIntIntInt() {
          Mat kx = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
          Mat ky = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
          Mat expKx = new Mat(3, 1, CvType.CV_32F);
          Mat expKy = new Mat(3, 1, CvType.CV_32F);
          kx.put(0, 0, 1, 1);
          kx.put(1, 0, 1, 1);
          ky.put(0, 0, 2, 2);
          ky.put(1, 0, 2, 2);
          expKx.put(0, 0, 1, -2, 1);
          expKy.put(0, 0, 1, -2, 1);
  
          Imgproc.getDerivKernels(kx, ky, 2, 2, 3);
  
          assertMatEqual(expKx, kx, EPS);
          assertMatEqual(expKy, ky, EPS);
      }
  
      public void testGetDerivKernelsMatMatIntIntIntBooleanInt() {
          Mat kx = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
          Mat ky = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
          Mat expKx = new Mat(3, 1, CvType.CV_32F);
          Mat expKy = new Mat(3, 1, CvType.CV_32F);
          kx.put(0, 0, 1, 1);
          kx.put(1, 0, 1, 1);
          ky.put(0, 0, 2, 2);
          ky.put(1, 0, 2, 2);
          expKx.put(0, 0, 1, -2, 1);
          expKy.put(0, 0, 1, -2, 1);
  
          Imgproc.getDerivKernels(kx, ky, 2, 2, 3, true, CvType.CV_32F);
  
          assertMatEqual(expKx, kx, EPS);
          assertMatEqual(expKy, ky, EPS);
          // TODO_: write better test
      }
  
      public void testGetGaussianKernelIntDouble() {
          dst = Imgproc.getGaussianKernel(1, 0.5);
  
          truth = new Mat(1, 1, CvType.CV_64FC1, new Scalar(1));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testGetGaussianKernelIntDoubleInt() {
          dst = Imgproc.getGaussianKernel(3, 0.8, CvType.CV_32F);
  
          truth = new Mat(3, 1, CvType.CV_32F);
          truth.put(0, 0, 0.23899426, 0.52201146, 0.23899426);
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testGetPerspectiveTransform() {
          fail("Not yet implemented");
      }
  
      public void testGetRectSubPixMatSizePointMat() {
          Size size = new Size(3, 3);
          Point center = new Point(gray255.cols() / 2, gray255.rows() / 2);
  
          Imgproc.getRectSubPix(gray255, size, center, dst);
  
          truth = new Mat(3, 3, CvType.CV_8U, new Scalar(255));
          assertMatEqual(truth, dst);
      }
  
      public void testGetRectSubPixMatSizePointMatInt() {
          Mat src = new Mat(10, 10, CvType.CV_32F, new Scalar(2));
          Size patchSize = new Size(5, 5);
          Point center = new Point(src.cols() / 2, src.rows() / 2);
  
          Imgproc.getRectSubPix(src, patchSize, center, dst);
  
          truth = new Mat(5, 5, CvType.CV_32F, new Scalar(2));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testGetRotationMatrix2D() {
          Point center = new Point(0, 0);
  
          dst = Imgproc.getRotationMatrix2D(center, 0, 1);
  
          truth = new Mat(2, 3, CvType.CV_64F) {
              {
                  put(0, 0, 1, 0, 0);
                  put(1, 0, 0, 1, 0);
              }
          };
  
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testGetStructuringElementIntSize() {
          dst = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, size);
  
          truth = new Mat(3, 3, CvType.CV_8UC1, new Scalar(1));
          assertMatEqual(truth, dst);
      }
  
      public void testGetStructuringElementIntSizePoint() {
          dst = Imgproc.getStructuringElement(Imgproc.MORPH_CROSS, size, anchorPoint);
  
          truth = new Mat(3, 3, CvType.CV_8UC1) {
              {
                  put(0, 0, 0, 0, 1);
                  put(1, 0, 0, 0, 1);
                  put(2, 0, 1, 1, 1);
              }
          };
          assertMatEqual(truth, dst);
      }
  
      public void testGoodFeaturesToTrackMatListOfPointIntDoubleDouble() {
          Mat src = gray0;
          Imgproc.rectangle(src, new Point(2, 2), new Point(8, 8), new Scalar(100), -1);
          MatOfPoint lp = new MatOfPoint();
  
          Imgproc.goodFeaturesToTrack(src, lp, 100, 0.01, 3);
  
          assertEquals(4, lp.total());
      }
  
      public void testGoodFeaturesToTrackMatListOfPointIntDoubleDoubleMatIntBooleanDouble() {
          Mat src = gray0;
          Imgproc.rectangle(src, new Point(2, 2), new Point(8, 8), new Scalar(100), -1);
          MatOfPoint lp = new MatOfPoint();
  
          Imgproc.goodFeaturesToTrack(src, lp, 100, 0.01, 3, gray1, 4, 3, true, 0);
  
          assertEquals(4, lp.total());
      }
  
      public void testGrabCutMatMatRectMatMatInt() {
          fail("Not yet implemented");
      }
  
      public void testGrabCutMatMatRectMatMatIntInt() {
          fail("Not yet implemented");
      }
  
      public void testHoughCirclesMatMatIntDoubleDouble() {
          int sz = 512;
          Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
          Mat circles = new Mat();
  
          Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4);
  
          assertEquals(0, circles.cols());
      }
  
      public void testHoughCirclesMatMatIntDoubleDouble1() {
          int sz = 512;
          Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
          Mat circles = new Mat();
  
          Point center = new Point(img.cols() / 2, img.rows() / 2);
          int radius = Math.min(img.cols() / 4, img.rows() / 4);
          Imgproc.circle(img, center, radius, colorBlack, 3);
  
          Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4);
  
          assertEquals(1, circles.cols());
      }
  
      public void testHoughCirclesMatMatIntDoubleDoubleDoubleDoubleIntInt() {
          fail("Not yet implemented");
      }
  
      public void testHoughLinesMatMatDoubleDoubleInt() {
          int sz = 512;
          Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(0));
          Point point1 = new Point(50, 50);
          Point point2 = new Point(img.cols() / 2, img.rows() / 2);
          Imgproc.line(img, point1, point2, colorWhite, 1);
          Mat lines = new Mat();
  
          Imgproc.HoughLines(img, lines, 1, 3.1415926/180, 100);
  
          assertEquals(1, lines.cols());
  
          /*
          Log.d("HoughLines", "lines=" + lines);
          int num = (int)lines.total();
          int buff[] = new int[num*4]; //[ (x1, y1, x2, y2), (...), ...]
          lines.get(0, 0, buff);
          Log.d("HoughLines", "lines=" + Arrays.toString(buff));
          */
      }
  
      public void testHoughLinesMatMatDoubleDoubleIntDouble() {
          fail("Not yet implemented");
      }
  
      public void testHoughLinesMatMatDoubleDoubleIntDoubleDouble() {
          fail("Not yet implemented");
      }
  
      public void testHoughLinesPMatMatDoubleDoubleInt() {
          int sz = 512;
          Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(0));
          Point point1 = new Point(0, 0);
          Point point2 = new Point(sz, sz);
          Point point3 = new Point(sz, 0);
          Point point4 = new Point(2*sz/3, sz/3);
          Imgproc.line(img, point1, point2, Scalar.all(255), 1);
          Imgproc.line(img, point3, point4, Scalar.all(255), 1);
          Mat lines = new Mat();
  
          Imgproc.HoughLinesP(img, lines, 1, 3.1415926/180, 100);
  
          assertEquals(2, lines.rows());
  
          /*
          Log.d("HoughLinesP", "lines=" + lines);
          int num = (int)lines.cols();
          int buff[] = new int[num*4]; // CV_32SC4 as [ (x1, y1, x2, y2), (...), ...]
          lines.get(0, 0, buff);
          Log.d("HoughLinesP", "lines=" + Arrays.toString(buff));
          */
      }
  
      public void testHoughLinesPMatMatDoubleDoubleIntDouble() {
          fail("Not yet implemented");
      }
  
      public void testHoughLinesPMatMatDoubleDoubleIntDoubleDouble() {
          fail("Not yet implemented");
      }
  
      public void testHuMoments() {
          fail("Not yet implemented");
      }
  
      public void testIntegral2MatMatMat() {
          Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
          Mat expSum = new Mat(4, 4, CvType.CV_64F);
          Mat expSqsum = new Mat(4, 4, CvType.CV_64F);
          Mat sum = new Mat();
          Mat sqsum = new Mat();
  
          expSum.put(0, 0, 0, 0, 0, 0);
          expSum.put(1, 0, 0, 3, 6, 9);
          expSum.put(2, 0, 0, 6, 12, 18);
          expSum.put(3, 0, 0, 9, 18, 27);
  
          expSqsum.put(0, 0, 0, 0, 0, 0);
          expSqsum.put(1, 0, 0, 9, 18, 27);
          expSqsum.put(2, 0, 0, 18, 36, 54);
          expSqsum.put(3, 0, 0, 27, 54, 81);
  
          Imgproc.integral2(src, sum, sqsum);
  
          assertMatEqual(expSum, sum, EPS);
          assertMatEqual(expSqsum, sqsum, EPS);
      }
  
      public void testIntegral2MatMatMatInt() {
          Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
          Mat expSum = new Mat(4, 4, CvType.CV_64F);
          Mat expSqsum = new Mat(4, 4, CvType.CV_64F);
          Mat sum = new Mat();
          Mat sqsum = new Mat();
  
          expSum.put(0, 0, 0, 0, 0, 0);
          expSum.put(1, 0, 0, 3, 6, 9);
          expSum.put(2, 0, 0, 6, 12, 18);
          expSum.put(3, 0, 0, 9, 18, 27);
  
          expSqsum.put(0, 0, 0, 0, 0, 0);
          expSqsum.put(1, 0, 0, 9, 18, 27);
          expSqsum.put(2, 0, 0, 18, 36, 54);
          expSqsum.put(3, 0, 0, 27, 54, 81);
  
          Imgproc.integral2(src, sum, sqsum, CvType.CV_64F, CvType.CV_64F);
  
          assertMatEqual(expSum, sum, EPS);
          assertMatEqual(expSqsum, sqsum, EPS);
      }
  
      public void testIntegral3MatMatMatMat() {
          Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1));
          Mat expSum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
          Mat expSqsum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
          Mat expTilted = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
          Mat sum = new Mat();
          Mat sqsum = new Mat();
          Mat tilted = new Mat();
  
          expSum.put(0, 0, 0, 0);
          expSum.put(1, 0, 0, 1);
  
          expSqsum.put(0, 0, 0, 0);
          expSqsum.put(1, 0, 0, 1);
  
          expTilted.put(0, 0, 0, 0);
          expTilted.put(1, 0, 0, 1);
  
          Imgproc.integral3(src, sum, sqsum, tilted);
  
          assertMatEqual(expSum, sum, EPS);
          assertMatEqual(expSqsum, sqsum, EPS);
          assertMatEqual(expTilted, tilted, EPS);
      }
  
      public void testIntegral3MatMatMatMatInt() {
          Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1));
          Mat expSum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
          Mat expSqsum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
          Mat expTilted = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
          Mat sum = new Mat();
          Mat sqsum = new Mat();
          Mat tilted = new Mat();
  
          expSum.put(0, 0, 0, 0);
          expSum.put(1, 0, 0, 1);
  
          expSqsum.put(0, 0, 0, 0);
          expSqsum.put(1, 0, 0, 1);
  
          expTilted.put(0, 0, 0, 0);
          expTilted.put(1, 0, 0, 1);
  
          Imgproc.integral3(src, sum, sqsum, tilted, CvType.CV_64F, CvType.CV_64F);
  
          assertMatEqual(expSum, sum, EPS);
          assertMatEqual(expSqsum, sqsum, EPS);
          assertMatEqual(expTilted, tilted, EPS);
      }
  
      public void testIntegralMatMat() {
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
  
          Imgproc.integral(src, dst);
  
          truth = new Mat(3, 3, CvType.CV_64F) {
              {
                  put(0, 0, 0, 0, 0);
                  put(1, 0, 0, 2, 4);
                  put(2, 0, 0, 4, 8);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testIntegralMatMatInt() {
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
  
          Imgproc.integral(src, dst, CvType.CV_64F);
  
          truth = new Mat(3, 3, CvType.CV_64F) {
              {
                  put(0, 0, 0, 0, 0);
                  put(1, 0, 0, 2, 4);
                  put(2, 0, 0, 4, 8);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testInvertAffineTransform() {
          Mat src = new Mat(2, 3, CvType.CV_64F, new Scalar(1));
  
          Imgproc.invertAffineTransform(src, dst);
  
          truth = new Mat(2, 3, CvType.CV_64F, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testIsContourConvex() {
          MatOfPoint contour1 = new MatOfPoint(new Point(0, 0), new Point(10, 0), new Point(10, 10), new Point(5, 4));
  
          assertFalse(Imgproc.isContourConvex(contour1));
  
          MatOfPoint contour2 = new MatOfPoint(new Point(0, 0), new Point(10, 0), new Point(10, 10), new Point(5, 6));
  
          assertTrue(Imgproc.isContourConvex(contour2));
      }
  
      public void testLaplacianMatMatInt() {
          Imgproc.Laplacian(gray0, dst, CvType.CV_8U);
  
          assertMatEqual(gray0, dst);
      }
  
      public void testLaplacianMatMatIntIntDoubleDouble() {
          Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
  
          Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2, EPS);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F) {
              {
                  put(0, 0, -7.9990001, 8.0009995);
                  put(1, 0, 8.0009995, -7.9990001);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testLaplacianMatMatIntIntDoubleDoubleInt() {
          Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(2));
  
          Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2, EPS, Core.BORDER_REFLECT);
  
          truth = new Mat(3, 3, CvType.CV_32F, new Scalar(0.00099945068));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testMatchShapes() {
          Mat contour1 = new Mat(1, 4, CvType.CV_32FC2);
          Mat contour2 = new Mat(1, 4, CvType.CV_32FC2);
          contour1.put(0, 0, 1, 1, 5, 1, 4, 3, 6, 2);
          contour2.put(0, 0, 1, 1, 6, 1, 4, 1, 2, 5);
  
          double distance = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 1);
  
          assertEquals(2.81109697365334, distance, EPS);
      }
  
      public void testMatchTemplate() {
          Mat image = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
          Mat templ = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
          image.put(0, 0, 1, 2, 3, 4);
          templ.put(0, 0, 5, 6, 7, 8);
  
          Imgproc.matchTemplate(image, templ, dst, Imgproc.TM_CCORR);
  
          truth = new Mat(1, 1, CvType.CV_32F, new Scalar(70));
          assertMatEqual(truth, dst, EPS);
  
          Imgproc.matchTemplate(gray255, gray0, dst, Imgproc.TM_CCORR);
  
          truth = new Mat(1, 1, CvType.CV_32F, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testMedianBlur() {
          Imgproc.medianBlur(gray255, dst, 5);
          assertMatEqual(gray255, dst);
  
          Imgproc.medianBlur(gray2, dst, 3);
          assertMatEqual(gray2, dst);
          // TODO_: write better test
      }
  
      public void testMinAreaRect() {
          MatOfPoint2f points = new MatOfPoint2f(new Point(1, 1), new Point(5, 1), new Point(4, 3), new Point(6, 2));
  
          RotatedRect rrect = Imgproc.minAreaRect(points);
  
          assertEquals(new Size(5, 2), rrect.size);
          assertEquals(0., rrect.angle);
          assertEquals(new Point(3.5, 2), rrect.center);
      }
  
      public void testMinEnclosingCircle() {
          MatOfPoint2f points = new MatOfPoint2f(new Point(0, 0), new Point(-100, 0), new Point(0, -100), new Point(100, 0), new Point(0, 100));
          Point actualCenter = new Point();
          float[] radius = new float[1];
  
          Imgproc.minEnclosingCircle(points, actualCenter, radius);
  
          assertEquals(new Point(0, 0), actualCenter);
          assertEquals(100.0f, radius[0], 1.0);
      }
  
      public void testMomentsMat() {
          fail("Not yet implemented");
      }
  
      public void testMomentsMatBoolean() {
          fail("Not yet implemented");
      }
  
      public void testMorphologyExMatMatIntMat() {
          Imgproc.morphologyEx(gray255, dst, Imgproc.MORPH_GRADIENT, gray0);
  
          assertMatEqual(gray0, dst);
          // TODO_: write better test
      }
  
      public void testMorphologyExMatMatIntMatPointInt() {
          Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
  
          Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(0));
          Point point = new Point(0, 0);
  
          Imgproc.morphologyEx(src, dst, Imgproc.MORPH_CLOSE, kernel, point, 10);
  
          truth = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
          assertMatEqual(truth, dst);
          // TODO_: write better test
      }
  
  
      public void testMorphologyExMatMatIntMatPointIntIntScalar() {
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
          src.put(0, 0, 2, 1);
          src.put(1, 0, 2, 1);
  
          Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(1));
          Point point = new Point(1, 1);
          Scalar sc = new Scalar(3, 3);
  
          Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10, Core.BORDER_REFLECT, sc);
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8U) {
              {
                  put(0, 0, 1, 0);
                  put(1, 0, 1, 0);
              }
          };
          assertMatEqual(truth, dst);
          // TODO_: write better test
      }
  
      public void testPointPolygonTest() {
          MatOfPoint2f contour = new MatOfPoint2f(new Point(0, 0), new Point(1, 3), new Point(3, 4), new Point(4, 3), new Point(2, 1));
          double sign1 = Imgproc.pointPolygonTest(contour, new Point(2, 2), false);
          assertEquals(1.0, sign1);
  
          double sign2 = Imgproc.pointPolygonTest(contour, new Point(4, 4), true);
          assertEquals(-Math.sqrt(0.5), sign2);
      }
  
      public void testPreCornerDetectMatMatInt() {
          Mat src = new Mat(4, 4, CvType.CV_32F, new Scalar(1));
          int ksize = 3;
  
          Imgproc.preCornerDetect(src, dst, ksize);
  
          truth = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testPreCornerDetectMatMatIntInt() {
          Mat src = new Mat(4, 4, CvType.CV_32F, new Scalar(1));
          int ksize = 3;
  
          Imgproc.preCornerDetect(src, dst, ksize, Core.BORDER_REFLECT);
  
          truth = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
          // TODO_: write better test
      }
  
      public void testPyrDownMatMat() {
          Mat src = new Mat(4, 4, CvType.CV_32F) {
              {
                  put(0, 0, 2, 1, 4, 2);
                  put(1, 0, 3, 2, 6, 8);
                  put(2, 0, 4, 6, 8, 10);
                  put(3, 0, 12, 32, 6, 18);
              }
          };
  
          Imgproc.pyrDown(src, dst);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F) {
              {
                  put(0, 0, 2.78125, 4.609375);
                  put(1, 0, 8.546875, 8.8515625);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testPyrDownMatMatSize() {
          Mat src = new Mat(4, 4, CvType.CV_32F) {
              {
                  put(0, 0, 2, 1, 4, 2);
                  put(1, 0, 3, 2, 6, 8);
                  put(2, 0, 4, 6, 8, 10);
                  put(3, 0, 12, 32, 6, 18);
              }
          };
          Size dstSize = new Size(2, 2);
  
          Imgproc.pyrDown(src, dst, dstSize);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F) {
              {
                  put(0, 0, 2.78125, 4.609375);
                  put(1, 0, 8.546875, 8.8515625);
              }
          };
          assertMatEqual(truth, dst, EPS);
          // TODO_: write better test
      }
  
      public void testPyrMeanShiftFilteringMatMatDoubleDouble() {
          Mat src = new Mat(matSize, matSize, CvType.CV_8UC3, new Scalar(0));
  
          Imgproc.pyrMeanShiftFiltering(src, dst, 10, 50);
  
          assertMatEqual(src, dst);
          // TODO_: write better test
      }
  
      public void testPyrMeanShiftFilteringMatMatDoubleDoubleInt() {
          fail("Not yet implemented");
      }
  
      public void testPyrMeanShiftFilteringMatMatDoubleDoubleIntTermCriteria() {
          fail("Not yet implemented");
      }
  
      public void testPyrUpMatMat() {
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
          src.put(0, 0, 2, 1);
          src.put(1, 0, 3, 2);
  
          Imgproc.pyrUp(src, dst);
  
          truth = new Mat(4, 4, CvType.CV_32F) {
              {
                  put(0, 0, 2,     1.75,  1.375, 1.25);
                  put(1, 0, 2.25,  2,     1.625, 1.5);
                  put(2, 0, 2.625, 2.375, 2,     1.875);
                  put(3, 0, 2.75,  2.5,   2.125, 2);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testPyrUpMatMatSize() {
          fail("Not yet implemented");
      }
  
      public void testRemapMatMatMatMatInt() {
          fail("Not yet implemented");
          // this test does something weird
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
          Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
          Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
  
          map1.put(0, 0, 3, 6, 5);
          map2.put(0, 0, 4, 8, 12);
  
          Imgproc.remap(src, dst, map1, map2, Imgproc.INTER_LINEAR);
  
          truth = new Mat(1, 3, CvType.CV_32F, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testRemapMatMatMatMatIntIntScalar() {
          fail("Not yet implemented");
          // this test does something weird
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
          Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
          Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
  
          Scalar sc = new Scalar(0);
  
          map1.put(0, 0, 3, 6, 5, 0);
          map2.put(0, 0, 4, 8, 12);
  
          truth = new Mat(1, 3, CvType.CV_32F, new Scalar(2));
  
          Imgproc.remap(src, dst, map1, map2, Imgproc.INTER_LINEAR, Core.BORDER_REFLECT, sc);
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testResizeMatMatSize() {
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(1));
          Size dsize = new Size(1, 1);
  
          Imgproc.resize(src, dst, dsize, 0, 0, Imgproc.INTER_LINEAR_EXACT);
  
          truth = new Mat(1, 1, CvType.CV_8UC1, new Scalar(1));
          assertMatEqual(truth, dst);
      }
  
      public void testResizeMatMatSizeDoubleDoubleInt() {
          Imgproc.resize(gray255, dst, new Size(2, 2), 0, 0, Imgproc.INTER_AREA);
  
          truth = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
          assertMatEqual(truth, dst);
          // TODO_: write better test
      }
  
      public void testScharrMatMatIntIntInt() {
          Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
  
          Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testScharrMatMatIntIntIntDoubleDouble() {
          Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
  
          Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0.001);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0.001));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testScharrMatMatIntIntIntDoubleDoubleInt() {
          Mat src = Mat.eye(3, 3, CvType.CV_32F);
  
          Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0, Core.BORDER_REFLECT);
  
          truth = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, -15, -19.5, -4.5);
                  put(1, 0, 10.5, 0, -10.5);
                  put(2, 0, 4.5, 19.5, 15);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testSepFilter2DMatMatIntMatMat() {
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
          Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
          Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
          kernelX.put(0, 0, 4, 3, 7);
          kernelY.put(0, 0, 9, 4, 2);
  
          Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(420));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testSepFilter2DMatMatIntMatMatPointDouble() {
          Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(2));
          Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
          kernelX.put(0, 0, 2, 2, 2);
          Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
          kernelY.put(0, 0, 1, 1, 1);
  
          Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, weakEPS);
  
          truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(36 + weakEPS));
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testSepFilter2DMatMatIntMatMatPointDoubleInt() {
          Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
          kernelX.put(0, 0, 2, 2, 2);
  
          Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
          kernelY.put(0, 0, 1, 1, 1);
  
          Imgproc.sepFilter2D(gray0, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, weakEPS, Core.BORDER_REFLECT);
  
          truth = new Mat(10, 10, CvType.CV_32F, new Scalar(weakEPS));
          assertMatEqual(truth, dst, EPS);
          // TODO_: write better test
      }
  
      public void testSobelMatMatIntIntInt() {
          Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0);
  
          assertMatEqual(gray0, dst);
      }
  
      public void testSobelMatMatIntIntIntIntDoubleDouble() {
          Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0, 3, 2, 0.001);
          assertMatEqual(gray0, dst);
          // TODO_: write better test
      }
  
      public void testSobelMatMatIntIntIntIntDoubleDoubleInt() {
          Mat src = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, 2, 0, 1);
                  put(1, 0, 6, 4, 3);
                  put(2, 0, 1, 0, 2);
              }
          };
  
          Imgproc.Sobel(src, dst, CvType.CV_32F, 1, 0, 3, 2, 0, Core.BORDER_REPLICATE);
  
          truth = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, -16, -12, 4);
                  put(1, 0, -14, -12, 2);
                  put(2, 0, -10, 0, 10);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testThreshold() {
          Imgproc.threshold(makeMask(gray0.clone(), 10), dst, 5, 255, Imgproc.THRESH_TRUNC);
          assertMatEqual(makeMask(gray0.clone(), 5), dst);
  
          Imgproc.threshold(makeMask(gray2.clone(), 10), dst, 1, 255, Imgproc.THRESH_BINARY);
          assertMatEqual(gray255, dst);
  
          Imgproc.threshold(makeMask(gray2.clone(), 10), dst, 3, 255, Imgproc.THRESH_BINARY_INV);
          assertMatEqual(makeMask(gray255.clone(), 0), dst);
      }
  
      public void testWarpAffineMatMatMatSize() {
          Mat src = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, 2, 0, 1);
                  put(1, 0, 6, 4, 3);
                  put(2, 0, 1, 0, 2);
              }
          };
          Mat M = new Mat(2, 3, CvType.CV_32F) {
              {
                  put(0, 0, 1, 0, 1);
                  put(1, 0, 0, 1, 1);
              }
          };
  
          Imgproc.warpAffine(src, dst, M, new Size(3, 3));
  
          truth = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, 0, 0, 0);
                  put(1, 0, 0, 2, 0);
                  put(2, 0, 0, 6, 4);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testWarpAffineMatMatMatSizeInt() {
          Mat src = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, 2, 4, 1);
                  put(1, 0, 6, 4, 3);
                  put(2, 0, 0, 2, 2);
              }
          };
          Mat M = new Mat(2, 3, CvType.CV_32F) {
              {
                  put(0, 0, 1, 0, 0);
                  put(1, 0, 0, 0, 1);
              }
          };
  
          Imgproc.warpAffine(src, dst, M, new Size(2, 2), Imgproc.WARP_INVERSE_MAP);
  
          truth = new Mat(2, 2, CvType.CV_32F) {
              {
                  put(0, 0, 6, 4);
                  put(1, 0, 6, 4);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testWarpAffineMatMatMatSizeIntInt() {
          fail("Not yet implemented");
      }
  
      public void testWarpAffineMatMatMatSizeIntIntScalar() {
          fail("Not yet implemented");
      }
  
      public void testWarpPerspectiveMatMatMatSize() {
          Mat src = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, 2, 4, 1);
                  put(1, 0, 0, 4, 5);
                  put(2, 0, 1, 2, 2);
              }
          };
          Mat M = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, 1, 0, 1);
                  put(1, 0, 0, 1, 1);
                  put(2, 0, 0, 0, 1);
              }
          };
  
          Imgproc.warpPerspective(src, dst, M, new Size(3, 3));
  
          truth = new Mat(3, 3, CvType.CV_32F) {
              {
                  put(0, 0, 0, 0, 0);
                  put(1, 0, 0, 2, 4);
                  put(2, 0, 0, 0, 4);
              }
          };
          assertMatEqual(truth, dst, EPS);
      }
  
      public void testWarpPerspectiveMatMatMatSizeInt() {
          fail("Not yet implemented");
      }
  
      public void testWarpPerspectiveMatMatMatSizeIntInt() {
          fail("Not yet implemented");
      }
  
      public void testWarpPerspectiveMatMatMatSizeIntIntScalar() {
          fail("Not yet implemented");
      }
  
      public void testWatershed() {
          Mat image = Mat.eye(4, 4, CvType.CV_8UC(3));
          Mat markers = new Mat(4, 4, CvType.CV_32SC1, new Scalar(0));
  
          Imgproc.watershed(image, markers);
  
          truth = new Mat(4, 4, CvType.CV_32SC1) {
              {
                  put(0, 0, -1, -1, -1, -1);
                  put(1, 0, -1, 0, 0, -1);
                  put(2, 0, -1, 0, 0, -1);
                  put(3, 0, -1, -1, -1, -1);
              }
          };
          assertMatEqual(truth, markers);
      }
  
      public void testGetTextSize() {
          String text = "Android all the way";
          double fontScale = 2;
          int thickness = 3;
          int baseLine[] = new int[1];
  
          Imgproc.getTextSize(text, Imgproc.FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, thickness, null);
          Size res = Imgproc.getTextSize(text, Imgproc.FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, thickness, baseLine);
  
          assertEquals(543.0, res.width);
          assertEquals(44.0, res.height);
          assertEquals(20, baseLine[0]);
      }
  
      public void testCircleMatPointIntScalar() {
          Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
          int radius = Math.min(gray0.cols() / 4, gray0.rows() / 4);
          Scalar color = new Scalar(128);
  
          Imgproc.circle(gray0, center, radius, color);
  
          assertTrue(0 != Core.countNonZero(gray0));
      }
  
      public void testCircleMatPointIntScalarInt() {
          Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
          int radius = Math.min(gray0.cols() / 4, gray0.rows() / 4);
          Scalar color = new Scalar(128);
  
          Imgproc.circle(gray0, center, radius, color, Imgproc.FILLED);
  
          assertTrue(0 != Core.countNonZero(gray0));
      }
  
      public void testCircleMatPointIntScalarIntIntInt() {
          Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
          Point center2 = new Point(gray0.cols(), gray0.rows());
          int radius = Math.min(gray0.cols() / 4, gray0.rows() / 4);
          Scalar color128 = new Scalar(128);
          Scalar color0 = new Scalar(0);
  
          Imgproc.circle(gray0, center2, radius * 2, color128, 2, Imgproc.LINE_4, 1/*
                                                                              * Number
                                                                              * of
                                                                              * fractional
                                                                              * bits
                                                                              */);
          assertFalse(0 == Core.countNonZero(gray0));
  
          Imgproc.circle(gray0, center, radius, color0, 2, Imgproc.LINE_4, 0);
  
          assertTrue(0 == Core.countNonZero(gray0));
      }
  
      public void testClipLine() {
          Rect r = new Rect(10, 10, 10, 10);
          Point pt1 = new Point(5.0, 15.0);
          Point pt2 = new Point(25.0, 15.0);
  
          assertTrue(Imgproc.clipLine(r, pt1, pt2));
  
          Point pt1Clipped = new Point(10.0, 15.0);
          Point pt2Clipped = new Point(19.0, 15.0);
          assertEquals(pt1Clipped, pt1);
          assertEquals(pt2Clipped, pt2);
  
          pt1 = new Point(5.0, 5.0);
          pt2 = new Point(25.0, 5.0);
          pt1Clipped = new Point(5.0, 5.0);
          pt2Clipped = new Point(25.0, 5.0);
  
          assertFalse(Imgproc.clipLine(r, pt1, pt2));
  
          assertEquals(pt1Clipped, pt1);
          assertEquals(pt2Clipped, pt2);
      }
  
      public void testEllipse2Poly() {
          Point center = new Point(4, 4);
          Size axes = new Size(2, 2);
          int angle = 30;
          int arcStart = 30;
          int arcEnd = 60;
          int delta = 2;
          MatOfPoint pts = new MatOfPoint();
  
          Imgproc.ellipse2Poly(center, axes, angle, arcStart, arcEnd, delta, pts);
  
          Point truth[] = {
                  new Point(5, 6),
                  new Point(4, 6)
          };
          assertArrayPointsEquals(truth, pts.toArray(), EPS);
      }
  
      public void testEllipseMatPointSizeDoubleDoubleDoubleScalar() {
          Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
          Size axes = new Size(2, 2);
          double angle = 30, startAngle = 60, endAngle = 90;
  
          Imgproc.ellipse(gray0, center, axes, angle, startAngle, endAngle, colorWhite);
  
          assertTrue(0 != Core.countNonZero(gray0));
      }
  
      public void testEllipseMatPointSizeDoubleDoubleDoubleScalarInt() {
          Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
          Size axes = new Size(2, 2);
          double angle = 30, startAngle = 60, endAngle = 90;
  
          Imgproc.ellipse(gray0, center, axes, angle, startAngle, endAngle, colorWhite, Imgproc.FILLED);
  
          assertTrue(0 != Core.countNonZero(gray0));
      }
  
      public void testEllipseMatPointSizeDoubleDoubleDoubleScalarIntIntInt() {
          Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
          Size axes = new Size(2, 2);
          Point center2 = new Point(gray0.cols(), gray0.rows());
          Size axes2 = new Size(4, 4);
          double angle = 30, startAngle = 0, endAngle = 30;
  
          Imgproc.ellipse(gray0, center, axes, angle, startAngle, endAngle, colorWhite, Imgproc.FILLED, Imgproc.LINE_4, 0);
  
          assertTrue(0 != Core.countNonZero(gray0));
  
          Imgproc.ellipse(gray0, center2, axes2, angle, startAngle, endAngle, colorBlack, Imgproc.FILLED, Imgproc.LINE_4, 1);
  
          assertEquals(0, Core.countNonZero(gray0));
      }
  
      public void testEllipseMatRotatedRectScalar() {
          int matSize = 10;
          Mat gray0 = Mat.zeros(matSize, matSize, CvType.CV_8U);
          Point center = new Point(matSize / 2, matSize / 2);
          Size size = new Size(matSize / 4, matSize / 2);
          RotatedRect box = new RotatedRect(center, size, 45);
  
          Imgproc.ellipse(gray0, box, new Scalar(1));
  
          final byte[] truth = new byte[] {
                  0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
                  0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
                  0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
                  0, 0, 0, 0, 0, 0, 1, 1, 0, 0,
                  0, 0, 0, 0, 1, 1, 0, 1, 0, 0,
                  0, 0, 0, 0, 1, 0, 1, 0, 0, 0,
                  0, 0, 0, 1, 0, 1, 1, 0, 0, 0,
                  0, 0, 0, 1, 1, 0, 0, 0, 0, 0,
                  0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
                  0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
  
          assertMatEqual(new Mat(matSize, matSize, CvType.CV_8U) {
              {
                  put(0, 0, truth);
              }
          }, gray0);
      }
  
      public void testEllipseMatRotatedRectScalarInt() {
          Point center = new Point(matSize / 2, matSize / 2);
          Size size = new Size(matSize / 4, matSize / 2);
          RotatedRect box = new RotatedRect(center, size, 45);
  
          Imgproc.ellipse(gray0, box, new Scalar(1), Imgproc.FILLED);
          Imgproc.ellipse(gray0, box, new Scalar(0));
  
          assertTrue(0 < Core.countNonZero(gray0));
      }
  
      public void testEllipseMatRotatedRectScalarIntInt() {
          Point center = new Point(matSize / 2, matSize / 2);
          Size size = new Size(2, matSize * 2 / 3);
          RotatedRect box = new RotatedRect(center, size, 20);
  
          Imgproc.ellipse(gray0, box, new Scalar(9), 1, Imgproc.LINE_AA);
          Imgproc.ellipse(gray0, box, new Scalar(0), 1, Imgproc.LINE_4);
  
          assertTrue(0 < Core.countNonZero(gray0));
      }
  
      public void testPolylinesMatListOfListOfPointBooleanScalar() {
          Mat img = gray0;
          List<MatOfPoint> polyline = new ArrayList<MatOfPoint>();
          polyline.add(new MatOfPoint(new Point(1, 1), new Point(7, 1), new Point(7, 6), new Point(1, 6)));
  
          Imgproc.polylines(img, polyline, true, new Scalar(100));
  
          assertEquals(22, Core.countNonZero(img));
  
          Imgproc.polylines(img, polyline, false, new Scalar(0));
  
          assertEquals(4, Core.countNonZero(img));
      }
  
      public void testPolylinesMatListOfListOfPointBooleanScalarInt() {
          Mat img = gray0;
          List<MatOfPoint> polyline = new ArrayList<MatOfPoint>();
          polyline.add(new MatOfPoint(new Point(1, 1), new Point(7, 1), new Point(7, 6), new Point(1, 6)));
  
          Imgproc.polylines(img, polyline, true, new Scalar(100), 2);
  
          assertEquals(62, Core.countNonZero(img));
      }
  
      public void testPolylinesMatListOfListOfPointBooleanScalarIntIntInt() {
          Mat img = gray0;
          List<MatOfPoint> polyline1 = new ArrayList<MatOfPoint>();
          polyline1.add(new MatOfPoint(new Point(1, 1), new Point(7, 1), new Point(7, 6), new Point(1, 6)));
          List<MatOfPoint> polyline2 = new ArrayList<MatOfPoint>();
          polyline2.add(new MatOfPoint(new Point(2, 2), new Point(14, 2), new Point(14, 12), new Point(2, 12)));
  
          Imgproc.polylines(img, polyline1, true, new Scalar(100), 2, Imgproc.LINE_8, 0);
  
          assertTrue(Core.countNonZero(img) > 0);
  
          Imgproc.polylines(img, polyline2, true, new Scalar(0), 2, Imgproc.LINE_8, 1);
  
          assertEquals(0, Core.countNonZero(img));
      }
  
      public void testPutTextMatStringPointIntDoubleScalar() {
          String text = "Hello World";
          Size labelSize = new Size(175, 22);
          Mat img = new Mat(20 + (int) labelSize.height, 20 + (int) labelSize.width, CvType.CV_8U, colorBlack);
          Point origin = new Point(10, labelSize.height + 10);
  
          Imgproc.putText(img, text, origin, Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, colorWhite);
  
          assertTrue(Core.countNonZero(img) > 0);
          // check that border is not corrupted
          Imgproc.rectangle(img, new Point(11, 11), new Point(labelSize.width + 10, labelSize.height + 10), colorBlack, Imgproc.FILLED);
          assertEquals(0, Core.countNonZero(img));
      }
  
      public void testPutTextMatStringPointIntDoubleScalarInt() {
          String text = "Hello World";
          Size labelSize = new Size(176, 22);
          Mat img = new Mat(20 + (int) labelSize.height, 20 + (int) labelSize.width, CvType.CV_8U, colorBlack);
          Point origin = new Point(10, labelSize.height + 10);
  
          Imgproc.putText(img, text, origin, Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, colorWhite, 2);
  
          assertTrue(Core.countNonZero(img) > 0);
          // check that border is not corrupted
          Imgproc.rectangle(img, new Point(10, 10), new Point(labelSize.width + 10 + 1, labelSize.height + 10 + 1), colorBlack, Imgproc.FILLED);
          assertEquals(0, Core.countNonZero(img));
      }
  
      public void testPutTextMatStringPointIntDoubleScalarIntIntBoolean() {
          String text = "Hello World";
          Size labelSize = new Size(175, 22);
  
          Mat img = new Mat(20 + (int) labelSize.height, 20 + (int) labelSize.width, CvType.CV_8U, colorBlack);
          Point origin = new Point(10, 10);
  
          Imgproc.putText(img, text, origin, Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, colorWhite, 1, Imgproc.LINE_8, true);
  
          assertTrue(Core.countNonZero(img) > 0);
          // check that border is not corrupted
          Imgproc.rectangle(img, new Point(10, 10), new Point(labelSize.width + 9, labelSize.height + 9), colorBlack, Imgproc.FILLED);
          assertEquals(0, Core.countNonZero(img));
      }
  }
  