Wavelet Multi-Scale Grayscale Image Texture Feature Detection Source Code

Resource Overview

Source code for grayscale image texture feature detection based on wavelet multi-scale analysis, featuring customizable wavelet parameters for algorithm optimization

Detailed Documentation

This provides source code for grayscale image texture feature detection using wavelet multi-scale analysis. The implementation allows custom configuration of wavelet parameters (including wavelet type, decomposition levels, and threshold settings) to adapt to specific requirements and achieve more accurate detection results. The codebase includes core functions for wavelet decomposition, texture feature extraction algorithms, and multi-scale analysis modules, enabling rapid detection and analysis of image texture characteristics. This resource offers robust support for research and practical applications in image processing and computer vision.