I am doing an ancient coins recognition system using matlab. What I have done so far is:
- convert to grayscale
- remove noise using Gaussian filter
- contrast enhancement
- edge detection using canny edge detector.
Now I want to extract feature for classification. Features I thought to select are roundness, area, colour, SIFT and SURF. My problem is how I can apply SIFT and SURF algorithms to my project. I couldn't find built-in functions for both.
you can find a matlab implementation of SIFT features here: http://www.cs.ubc.ca/~lowe/keypoints/
You can find SIFT as a C implementation with MATLAB bindings at: http://www.vlfeat.org/index.html
For anyone else coming across this thread as I did, I noticed the implementation at http://www.vlfeat.org/index.html was far more than I required and also fairly hard to adjust to my code. The following link; http://robwhess.github.io/opensift/, has an implementation of just the SIFT algorithm accompanied with an example executable, with the source code available (unlike http://www.cs.ubc.ca/~lowe/keypoints/ which only has the sift binary executable).
来源：https://stackoverflow.com/questions/5550896/sift-and-surf-feature-extraction-implementation-using-matlab