Image segmentation using Gabor filters

In this project image segmentation is implemented and the features are computed over multiple spatial orientations and frequencies. A given image is passed through a bank of even symmetric Gabor filters. A clustering algorithm performs selection of these filtered images and yields segmentation. In order to simplify the results of the above process, a color label is associated with each cluster thereby making it an easier task to pursue the above approach.