SIFT and SURF feature extraction Implementation using MATLAB

4
votes

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.

3
matlabimage-processingsiftsurf
Wikipedia articles on SIFT and SURF list several implementations: maths.lth.se/matematiklth/personal/petter/surfmex.php mathworks.com/matlabcentral/fileexchange/28300 vlfeat.org – sastanin
@jetxee Thanks a lot. I'll go through the URLs u have provided. I don't have to change any code for my images do I? I just can include those libraries and use right? – Nadeeshani Jayathilake

3 Answers

1
votes

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

6
votes

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

2
votes

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).