CODEWITHSUNDEEP
javaandroidopencv
Abhishek
Abhishek

Reputation: 51

how to count non-zero pixels inside a contour opencv

I am developing OMR scanner android application using opencv library. I have detected my circles inside the sheet as contours and now I want to get filled circle contours from all the obtains contours Since java support for opencv is very less I couldnt figure out anything, please suggest some method for the same.

    //paramview is my image     
    Utils.bitmapToMat(paramView, localMat1);
    Mat localMat2 = new Mat();
    double[] lo;
    Imgproc.GaussianBlur(localMat1, localMat2, new Size(5.0D, 5.0D), 7.0D, 6.5D);
    Object localObject = new Mat();
    Imgproc.cvtColor(localMat2, (Mat)localObject, COLOR_RGB2GRAY);
    Mat cloneMat= ((Mat) localObject).clone();
    localMat2 = localMat1.clone();
    bitwise_not(cloneMat,cloneMat);
    Imgproc.threshold(cloneMat,localMat2,127,255,Imgproc.THRESH_OTSU);
    Mat thresh=localMat2.clone();

    List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
    List<MatOfPoint> questions = new ArrayList<MatOfPoint>();
    List<MatOfPoint> sorted = new ArrayList<MatOfPoint>();

    //All contours detected 
    Mat hierarchy = new Mat();
    Imgproc.findContours(localMat2, contours, hierarchy, 
    Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);

Image of Detected circles here

Upvotes: 2

Views: 3513

Answers (2)

emonigma
emonigma

Reputation: 4406

I propose an alternative to the accepted answer: instead of counting pixels inside a bounding rectangle, paint the contour into a mask, then mask the original image and count the pixels inside it. I was counting black pixels on a white background, where the contour kept several pixels on the edge, so your mileage may vary. Here is my code in Python:

mask = np.zeros(bw_image.shape, np.uint8)
cv.drawContours(mask, [contour], 0, 255, -1)
inverted = cv.bitwise_not(bw_image)
masked = cv.bitwise_not(cv.bitwise_and(inverted, inverted, mask = mask))

# Grab masked image inside contour
x, y, w, h = cv.boundingRect(contour)
pixels = masked[y:y+h, x:x+w]

# Check if black is only a line, in which case whiteness is 1
kernel = np.ones((3, 3), np.uint8)
dilated = cv.dilate(pixels, kernel, iterations = 1)
whiteness = np.sum(dilated) / (255 * w * h)

Upvotes: 0

Abhishek
Abhishek

Reputation: 51

I reworked my own code and found this solution. Hope it might help.

 for (int contourIdx = 0; contourIdx < questionSortedR.size(); contourIdx++) {
        //creating rectangle around identified contour
        Rect rectCrop = boundingRect(questionSortedR.get(contourIdx));
        //creating crop of that contour from actual image
        Mat imageROI= thresh.submat(rectCrop);
        //apply countnonzero method to that crop
        int total = countNonZero(imageROI);
        double pixel =total/contourArea(questionSortedR.get(contourIdx))*100;
        //pixel is in percentage of area that is filled
        if(pixel>=100 && pixel<=130){
            //counting filled circles
            count++;
        }

    }

Upvotes: 1

Related Questions