This code implements various methods described in:

C. G. Bampis, P. Maragos and A. C. Bovik, "Projective non-negative matrix factorization for unsupervised graph clustering," 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016,

If you use this code, please consider citing this work.

For any questions or comments, please contact Christos Bampis: [email protected] or [email protected]

The following files are part of this release:

1. ColorImagesDemo.m: demo script for colour image segmentation based on RGB or LUV features
2. TextureImagesDemo.m: demo script for texture image segmentation based on Gabor responses as features
3. funcs: folder with functions
4. other_funcs: folder with helpful routines (e.g. Gabor feature extraction)
5. GraphAnalysisToolbox: modified functions from Grady's Graph Analysis Toolbox: http://cns.bu.edu/~lgrady/software.html
6. color_images: folder with demo colour images
7. texture_images: folder with demo texture images