Extracting Image Texture Features Using Gabor Transform Algorithm
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Resource Overview
This MATLAB-implemented code utilizes Gabor transformation algorithm to extract texture features from images, suitable for texture-based image retrieval systems. The implementation includes multi-scale Gabor filtering with adjustable frequency and orientation parameters, along with feature vector computation methods. The package also contains a technical paper discussing Gabor transform principles, applications, and optimization approaches.
Detailed Documentation
This MATLAB code implements texture feature extraction from images using Gabor transform algorithm, designed for integration into texture-based image retrieval systems. The implementation features configurable Gabor filter banks with multiple scales and orientations, followed by statistical feature calculation (mean and standard deviation) from filtered responses. Additionally, the package includes a comprehensive technical paper that details Gabor transform fundamentals, practical applications in image processing, and advanced optimization techniques, serving as valuable reference material for deeper understanding and mastery of Gabor transformation methods.
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