content: //
  // This file is auto-generated. Please don't modify it!
  //
  package org.opencv.features2d;
  
  import org.opencv.features2d.Feature2D;
  import org.opencv.features2d.SimpleBlobDetector;
  
  // C++: class SimpleBlobDetector
  /**
   * Class for extracting blobs from an image. :
   *
   * The class implements a simple algorithm for extracting blobs from an image:
   *
   * 1.  Convert the source image to binary images by applying thresholding with several thresholds from
   *     minThreshold (inclusive) to maxThreshold (exclusive) with distance thresholdStep between
   *     neighboring thresholds.
   * 2.  Extract connected components from every binary image by findContours and calculate their
   *     centers.
   * 3.  Group centers from several binary images by their coordinates. Close centers form one group that
   *     corresponds to one blob, which is controlled by the minDistBetweenBlobs parameter.
   * 4.  From the groups, estimate final centers of blobs and their radiuses and return as locations and
   *     sizes of keypoints.
   *
   * This class performs several filtrations of returned blobs. You should set filterBy\* to true/false
   * to turn on/off corresponding filtration. Available filtrations:
   *
   * <ul>
   *   <li>
   *    <b>By color</b>. This filter compares the intensity of a binary image at the center of a blob to
   * blobColor. If they differ, the blob is filtered out. Use blobColor = 0 to extract dark blobs
   * and blobColor = 255 to extract light blobs.
   *   </li>
   *   <li>
   *    <b>By area</b>. Extracted blobs have an area between minArea (inclusive) and maxArea (exclusive).
   *   </li>
   *   <li>
   *    <b>By circularity</b>. Extracted blobs have circularity
   * (\(\frac{4*\pi*Area}{perimeter * perimeter}\)) between minCircularity (inclusive) and
   * maxCircularity (exclusive).
   *   </li>
   *   <li>
   *    <b>By ratio of the minimum inertia to maximum inertia</b>. Extracted blobs have this ratio
   * between minInertiaRatio (inclusive) and maxInertiaRatio (exclusive).
   *   </li>
   *   <li>
   *    <b>By convexity</b>. Extracted blobs have convexity (area / area of blob convex hull) between
   * minConvexity (inclusive) and maxConvexity (exclusive).
   *   </li>
   * </ul>
   *
   * Default values of parameters are tuned to extract dark circular blobs.
   */
  public class SimpleBlobDetector extends Feature2D {
  
      protected SimpleBlobDetector(long addr) { super(addr); }
  
      // internal usage only
      public static SimpleBlobDetector __fromPtr__(long addr) { return new SimpleBlobDetector(addr); }
  
      //
      // C++: static Ptr_SimpleBlobDetector cv::SimpleBlobDetector::create(SimpleBlobDetector_Params parameters = SimpleBlobDetector::Params())
      //
  
      public static SimpleBlobDetector create() {
          return SimpleBlobDetector.__fromPtr__(create_0());
      }
  
  
      //
      // C++:  String cv::SimpleBlobDetector::getDefaultName()
      //
  
      public String getDefaultName() {
          return getDefaultName_0(nativeObj);
      }
  
  
      @Override
      protected void finalize() throws Throwable {
          delete(nativeObj);
      }
  
  
  
      // C++: static Ptr_SimpleBlobDetector cv::SimpleBlobDetector::create(SimpleBlobDetector_Params parameters = SimpleBlobDetector::Params())
      private static native long create_0();
  
      // C++:  String cv::SimpleBlobDetector::getDefaultName()
      private static native String getDefaultName_0(long nativeObj);
  
      // native support for java finalize()
      private static native void delete(long nativeObj);
  
  }
  