Contourlet Transform Toolkit for Image Feature Extraction
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Resource Overview
Detailed Documentation
The Contourlet Transform Toolkit for image feature extraction serves as a highly effective instrument for image processing and analysis tasks. This toolkit enables flexible configuration of decomposition levels while extracting rich feature descriptors. For example, implementing a three-level decomposition scheme generates 17-dimensional feature vectors that demonstrate significant utility in texture classification and Synthetic Aperture Radar (SAR) image segmentation applications. Through this toolkit, users can achieve precise image segmentation and extract targeted features using pyramidal directional filter bank implementations, thereby facilitating advanced image processing workflows. The package typically includes core functions for multi-scale decomposition, directional filtering, and coefficient aggregation algorithms that optimize feature dimension reduction while preserving critical contour information.
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