I use the following code to read through all objects that I segmented from my image which should be ordered in row and columns as semi-circle (because of segmentation and morphological processing for reducing noise):
Imgproc.Canny(srcImg, srcImg, 50, 150);
Imgcodecs.imwrite("/mnt/sdcard/DCIM/cannyImg.jpg", srcImg);//check
List contours = new ArrayList();
Mat hierarchy = new Mat();
Imgproc.findContours(srcImg, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0,0));
//int index = 0;
//double maximc = Imgproc.contourArea(contours.get(0));
for (int contourIdx = 1; contourIdx < contours.size(); contourIdx++) {
double temp;
temp = Imgproc.contourArea(contours.get(contourIdx));
if (temp > 100) {
// condition to differentiate between noise and objects
Mat drawing = Mat.zeros(srcImg.size(), CvType.CV_8UC1);
Imgproc.drawContours(drawing, contours, contourIdx, new Scalar(255), -1);
Mat resultMat = new Mat();
maskImg.copyTo(resultMat, drawing);
Imgcodecs.imwrite("/mnt/sdcard/DCIM/resultImg" + contourIdx + ".jpg", resultMat);//check
}
}
however, the loop can not read important objects in my image even canny image is correct and can identify all the objects. My questions are: in which order find contours read objects? and also is there another way in Opencv to read through all objects in the image other than find contours? last question i used the size of contours to differentiate between the objects and the noise, so is this Ok or you can suggest other methods.
Any help is appreciated
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