MATLAB Implementation of Wavelet-Based Edge Detection
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This MATLAB program implements wavelet-based edge detection for image processing applications. The algorithm performs multi-scale edge detection by applying wavelet transform to decompose images into different frequency components. Key functions include wavelet decomposition using filters like 'db4' or 'sym4', modulus maximum calculation for edge point identification, and thresholding techniques for noise suppression. The implementation typically involves processing horizontal, vertical, and diagonal wavelet coefficients to accurately locate edge features while maintaining directional information. This method provides superior edge localization compared to traditional operators like Sobel or Canny, especially for images with complex textures and noise interference.
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