Detect features from an image with HARRIS algorithm
fobj = imdetect_HARRIS(im [,maxCorner [,qualityLevel [,minDistance [,blockSize [,k]]]]]);
Input image
Maximum corders to be returned. Default value is 1000.
Parameter characterizing the minimal accepted quality of image corners. Default value is 0.01.
Minimum possible Euclidean distance between the returned corners. Default value is 1.
Size of an average block for computing a derivative covariation matrix over each pixel neighborhood. Default value is 3.
Free parameter of the Harris detector. Default value is 0.04.
Features object contains following fields -
Type of features
Numbers of detected features
Coordinates of the detected features - X
Coordinates of the detected features - Y
Size of detected features
keypoint orientation
The response by which the most strong keypoints have been selected.
pyramid octave in which the keypoint has been detected
object id
This function used to detect the features of an image using HARRIS method
1. OpenCV 2.4 Online Documentation