Harris Find Points Between Images

This algorithm identifies corners in and make corrrelations between two images.

Steps

1. Smoothing the image using a Gaussian filter to reduce noise.
2. Computing the image gradient to capture intensity changes.
3. Calculating the autocorrelation matrix to analyze local gradient behavior.
4. Applying a corner response measure to identify potential corners based on the matrix elements.
5. Performing non-maximum suppression to eliminate weak corners and keep only the strongest ones.
6. Selecting output corners based on a chosen strategy

Result