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);
}