Texture segmentation in the frequency domain with gabor filters

Could someone tell me how to implement image segmentation in the frequency domain using Gabor filters.

These are the steps but being new to matlab I don't know how to implement it.

1. Multi-channel decomposition: apply a bank of Gabor filters to the input image to enhance different textures.

2. Smoothing: apply a Gaussian filter bank to smooth regions of similar texture.

3. Grouping: grouping pixels that have similar textures using the k-means algorithm.

4. Assignment: assign each pixel in the image the corresponding group label.

Answer 1

[Image Analyst]

gabor() and imgaborfilt() have example code.