Wavelet Modulus Maxima for Image Edge Detection and Extraction
This program effectively detects and extracts image edges using wavelet modulus maxima, achieving optimal results through multiscale gradient analysis and local extremum identification.
Explore MATLAB source code curated for "小波模极大值" with clean implementations, documentation, and examples.
This program effectively detects and extracts image edges using wavelet modulus maxima, achieving optimal results through multiscale gradient analysis and local extremum identification.
A MATLAB-based implementation of classic wavelet modulus maxima method for signal denoising, with output saved in TXT format. The program demonstrates multi-scale wavelet decomposition, modulus maxima detection, and threshold-based noise removal.
Implementation using MATLAB: Wavelet modulus maxima for edge extraction. Simulation performed on the standard 'woman' image from MATLAB's image processing toolbox, with result visualization demonstrating the effectiveness of modulus maxima in edge detection through wavelet transform analysis.
This MATLAB-based wavelet modulus maxima calculation method provides an effective approach for signal and image processing applications, featuring detailed algorithm implementation and practical usage guidance.
Wavelet modulus maxima are employed for edge extraction, utilizing wavelet transform to handle singularities, serving as an excellent example of wavelet-based image processing techniques.