SIFT and SURF feature extraction Implementation using MATLAB

问题

I am doing an ancient coins recognition system using matlab. What I have done so far is:

1. convert to grayscale
2. remove noise using Gaussian filter
3. contrast enhancement
4. 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.

回答1:

you can find a matlab implementation of SIFT features here: http://www.cs.ubc.ca/~lowe/keypoints/

回答2:

You can find SIFT as a C implementation with MATLAB bindings at: http://www.vlfeat.org/index.html

回答3:

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