/**
* @param inputImg
* @return Mat
*/
public static Mat watershed(Mat inputImg) {
Mat target = new Mat(inputImg.rows(), inputImg.cols(), CvType.CV_8UC3);
Imgproc.cvtColor(inputImg, target, Imgproc.COLOR_BGR2RGB);
// Conversion to 8UC1 grayscale image
Mat grayScale = new Mat(inputImg.rows(), inputImg.cols(), CvType.CV_32SC1);
Imgproc.cvtColor(inputImg, grayScale, Imgproc.COLOR_BGR2GRAY);
// constructing a 3x3 kernel for morphological opening
Mat openingKernel = Mat.ones(9, 9, CvType.CV_8U);
// яскравість
// target.convertTo(target, -1, 10d * 12 / 100, 0);
// Imgproc.dilate(target, target, new Mat(), new Point(-1, -1), 1);
Size s = new Size(27, 27);
Imgproc.GaussianBlur(target, target, s, 1.7);
Imgproc.morphologyEx(target, target, Imgproc.MORPH_OPEN, openingKernel);
// dilation operation for extracting the background
// Imgproc.dilate(target, target, openingKernel);
// Imgproc.erode(target, target, new Mat(), new Point(-1, -1), 1);
Mat seeds = new Mat(target.rows(), target.cols(), CvType.CV_32SC1);
for (int i = 0; i < 10; i++) {
seeds.put(((int) Math.random()) % target.rows(), ((int) Math.random()) % target.cols(), i);
}
Imgproc.watershed(target, seeds);
// Imgproc.threshold(target,target, 50, 155, Imgproc.THRESH_BINARY );
return target;
}
public boolean hasChanges(Mat current) {
int PIXEL_DIFF_THRESHOLD = 5;
int IMAGE_DIFF_THRESHOLD = 5;
Mat bg = new Mat();
Mat cg = new Mat();
Mat diff = new Mat();
Mat tdiff = new Mat();
Imgproc.cvtColor(base, bg, Imgproc.COLOR_BGR2GRAY);
Imgproc.cvtColor(current, cg, Imgproc.COLOR_BGR2GRAY);
Core.absdiff(bg, cg, diff);
Imgproc.threshold(diff, tdiff, PIXEL_DIFF_THRESHOLD, 0.0, Imgproc.THRESH_TOZERO);
if (Core.countNonZero(tdiff) <= IMAGE_DIFF_THRESHOLD) {
return false;
}
Imgproc.threshold(diff, diff, PIXEL_DIFF_THRESHOLD, 255, Imgproc.THRESH_BINARY);
Imgproc.dilate(diff, diff, new Mat());
Mat se = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(5, 5));
Imgproc.morphologyEx(diff, diff, Imgproc.MORPH_CLOSE, se);
List<MatOfPoint> points = new ArrayList<MatOfPoint>();
Mat contours = new Mat();
Imgproc.findContours(diff, points, contours, Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
int n = 0;
for (Mat pm : points) {
log(lvl, "(%d) %s", n++, pm);
printMatI(pm);
}
log(lvl, "contours: %s", contours);
printMatI(contours);
return true;
}