This is a python based harris corner detector. OpenCV module is used to read images in
Usage example is as follows:
python Corners.py —-window_size 5 —-k_corner_response .04 —-corner_threshold 10000 checkerboard.png
The script will run and print some parameter values for verification purposes.
For more help with the code run pydoc HarrisCorner at a terminal. The script will run and output a few parameters for validation purposes.
File output will be:
- finalimage.png — This will be an image with red boxes of window size indicating corner detection
- corners.txt — A list of the top 100 corners with the highest corner response values, r.
A Harris Corner Detector
Corner detection in images has many applications ranging from panoramic stitching to tracking to object recognition. This is a simple script that implements a Harris Corner detection algorithm. For more information on the algorithm itself, see the following links:
- Harris Corner Detector Lecture
- Harris and Stephens Corner Detection Wiki
- A Combined Corner and Edge Detector
