def process_image(self, slider_pos):
        """
        This function finds contours, draws them and their approximation by ellipses.
        """
        stor = cv.CreateMemStorage()

        # Create the destination images
        image02 = cv.CloneImage(self.source_image)
        cv.Zero(image02)
        image04 = cv.CreateImage(cv.GetSize(self.source_image), cv.IPL_DEPTH_8U, 3)
        cv.Zero(image04)

        # Threshold the source image. This needful for cv.FindContours().
        cv.Threshold(self.source_image, image02, slider_pos, 255, cv.CV_THRESH_BINARY)

        # Find all contours.
        cont = cv.FindContours(image02,
            stor,
            cv.CV_RETR_LIST,
            cv.CV_CHAIN_APPROX_NONE,
            (0, 0))

        for c in contour_iterator(cont):
            # Number of points must be more than or equal to 6 for cv.FitEllipse2
            if len(c) >= 6:
                # Copy the contour into an array of (x,y)s
                PointArray2D32f = cv.CreateMat(1, len(c), cv.CV_32FC2)
                for (i, (x, y)) in enumerate(c):
                    PointArray2D32f[0, i] = (x, y)

                # Draw the current contour in gray
                gray = cv.CV_RGB(100, 100, 100)
                cv.DrawContours(image04, c, gray, gray,0,1,8,(0,0))

                # Fits ellipse to current contour.
                (center, size, angle) = cv.FitEllipse2(PointArray2D32f)

                # Convert ellipse data from float to integer representation.
                center = (cv.Round(center[0]), cv.Round(center[1]))
                size = (cv.Round(size[0] * 0.5), cv.Round(size[1] * 0.5))

                # Draw ellipse in random color
                color = cv.CV_RGB(random.randrange(256),random.randrange(256),random.randrange(256))
                cv.Ellipse(image04, center, size,
                          angle, 0, 360,
                          color, 2, cv.CV_AA, 0)

        # Show image. HighGUI use.
        cv.ShowImage( "Result", image04 )
dataset/ETHPy150Open fatcloud/PyCV-time/opencv-official-samples/earlier/fitellipse.py/FitEllipse.process_image/original