Recognize Black patterns appearing on the four corners of the image ios using opencv or some other technique

Question

I am stuck with a problem that is how to recognize some patterns in image.

the image is the image of paper which is pure white and the patterns are in four corners are in black. I want to recognize the black patterns on the image?

I surf a lot on the net and found that the opencv as a answer. but there is nothing provided that describe how to use opencv in order to achieve the required feature.

Please help me with some coding point of view or provide some link which I should follow or any name of any open source library which I should use to achieve this feature. The image for pattern is below:-

The image consist of pure white background and four black patterns in the corner.I need to recognize these black patterns in the all four corners all then process the image.One corner shown in oval to highlight it.

Any suggestions will be highly appreciated.

Thanks in advance!

Answer 1

Maybe this question is helpful for you, especially the link to the Tennis Ball Recognizing Tutorial seems to be pretty much what you are looking for.

Regarding how to use OpenCV on iOS you might want to take a look at OpenCV-iOS and Computer Vision with iOS.

Answer 2

I really don't understand your problem - if you say:

The image is the image of paper which is pure white and the patterns are in four corners are in black.

Then what's the problem to mask only these four contours from image? After doing mask with 4 squares with length 40 pixels I got this:

To remove small areas you can use morphological operations. I got this:

And just draw them (optional) on input image. Here's result:

To implement this algorithm I use OpenCV library. I'm 100% sure that it works on IOS - OpenCV team finally published IOS version. So if you say:

I tried running the OpenCV-iOS link but the project does not run, it is showing errors.

Then we can't help you with that because we are not telepathists to see your problem. Just small suggestion - try to google your problem. I'm 99% sure that it should help.

And lest I forget - here's c++ code:

Mat src = imread("input.png"), tmp;

//convert image to 1bit
cvtColor(src, tmp, CV_BGR2GRAY);
threshold(tmp, tmp, 200, 255, THRESH_OTSU);

//do masking
#define DELTA 40
for (size_t i=0; i<tmp.rows; i++)
{
    for (size_t j=0; j<tmp.cols; j++)
    {
        if(!((i < DELTA && j < DELTA)
         || (i < DELTA && j > tmp.cols - DELTA)
         || (i > tmp.rows - DELTA && j < DELTA)
         || (i > tmp.rows - DELTA && j > tmp.cols - DELTA)))
        {
            //set color to black
            tmp.at<uchar>(i, j) = 255;
        }
    }
}

bitwise_not(tmp,tmp);

//erosion and dilatation:
Mat element = getStructuringElement(MORPH_RECT, Size(2, 2), Point(1, 1));

erode(tmp, tmp, element);
dilate(tmp, tmp, element);

//(Optional) find contours and draw them:
vector<Vec4i> hierarchy;
vector<vector<Point2i> > contours;

findContours(tmp, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);

for (size_t i=0; i<contours.size(); i++)
{
    drawContours(src, contours, i, Scalar(0, 0, 255), 1);
}