Wavelet Packet Texture Segmentation MATLAB Implementation

This MATLAB implementation provides comprehensive wavelet packet texture segmentation functionality for image analysis tasks. The program enables efficient wavelet packet decomposition of input images, allowing users to select optimal thresholds for precise image segmentation and extract meaningful texture features. Core algorithms include multi-level wavelet packet decomposition using functions like wpdec2, energy-based feature calculation, and adaptive thresholding techniques for region separation. The implementation follows established wavelet packet transform methodologies, with configurable parameters for wavelet type selection and decomposition depth. Reference materials and technical literature are available for deeper understanding of the underlying algorithms and their applications. This toolbox serves as a practical resource for researchers and engineers working on image processing, pattern recognition, and computer vision projects requiring advanced texture analysis capabilities.