Wavelet Modulus Maxima for Edge Extraction
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Resource Overview
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.
Detailed Documentation
Wavelet modulus maxima are commonly applied in edge extraction tasks. This method utilizes wavelet transform to analyze signals and detect maxima points for edge localization. This approach effectively processes singular points using wavelet analysis, demonstrating strong performance in edge detection. Wavelet modulus maxima thus serve as an excellent example of implementing edge extraction through wavelet transform, typically involving algorithms that calculate wavelet coefficients and identify local maxima across different scales using functions like wavedec2 and wmaxlev in MATLAB's Wavelet Toolbox for multi-scale edge detection.
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