@robot_sherrick answered me this question, this is a follow-up question for his answer.
cv::SimpleBlobDetector
in Opencv 2.4 looks very exciting but I am no
So the code should look something like this:
cv::Mat inputImg = imread(image_file_name, CV_LOAD_IMAGE_COLOR); // Read a file
cv::SimpleBlobDetector::Params params;
params.minDistBetweenBlobs = 10.0; // minimum 10 pixels between blobs
params.filterByArea = true; // filter my blobs by area of blob
params.minArea = 20.0; // min 20 pixels squared
params.maxArea = 500.0; // max 500 pixels squared
SimpleBlobDetector myBlobDetector(params);
std::vector myBlobs;
myBlobDetector.detect(inputImg, myBlobs);
If you then want to have these keypoints highlighted on your image:
cv::Mat blobImg;
cv::drawKeypoints(inputImg, myBlobs, blobImg);
cv::imshow("Blobs", blobImg);
To access the info in the keypoints, you then just access each element like so:
for(std::vector::iterator blobIterator = myBlobs.begin(); blobIterator != myBlobs.end(); blobIterator++){
std::cout << "size of blob is: " << blobIterator->size << std::endl;
std::cout << "point is at: " << blobIterator->pt.x << " " << blobIterator->pt.y << std::endl;
}
Note: this has not been compiled and may have typos.