MATLAB Implementation of Gabor Wavelet Filter
A comprehensive MATLAB implementation of Gabor wavelet filters supporting both 1D and 2D signal processing, featuring practical applications for feature extraction and time-frequency analysis.
Explore MATLAB source code curated for "Gabor小波滤波器" with clean implementations, documentation, and examples.
A comprehensive MATLAB implementation of Gabor wavelet filters supporting both 1D and 2D signal processing, featuring practical applications for feature extraction and time-frequency analysis.
This implementation performs feature extraction using Gabor wavelet filters, then employs Support Vector Machine (SVM) classification for face detection. The code requires MATLAB 2010 or later versions for execution, utilizing MATLAB's image processing toolbox for filter implementation and SVM functions for pattern classification.