Implemented Harris corner detection algorithm The steps followed are:
- Read the source image
- convert to gray scale image
- find x and y derivatives of gray scale image using sobel function
- computed attributes of covariance matrix to compute Harris corner response
- apply gaussian blur to the attributes
- using the attributes calculated harris corner response = det(M) - k*tr(M)*tr(M)
- saved the harris corner response in the destination image
- normalized the image
- circled the points with response greater than a threshold