Texture Image Segmentation using Gabor Filters
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Resource Overview
Detailed Documentation
This documentation discusses texture image segmentation methods utilizing Gabor filters. We provide a detailed PDF file explaining the theoretical foundation and several MATLAB M-files for practical implementation. The M-files include functions for Gabor filter bank generation, feature extraction, and segmentation algorithms. Key functions implement multi-scale and multi-orientation Gabor filtering to capture texture characteristics, followed by clustering or classification techniques for segmentation. These resources offer comprehensive guidance and hands-on experience in texture segmentation using Gabor filters, enabling you to better understand and apply these techniques to enhance your image processing capabilities. The code demonstrates practical implementation of frequency-domain filtering, feature vector computation, and region boundary detection methods commonly used in texture analysis.
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