Image Filtering Using Gabor Filters
Gabor filters perform image filtering to extract texture features at multiple orientations and scales, enabling comprehensive texture analysis through frequency and spatial domain processing.
Explore MATLAB source code curated for "Gabor滤波器" with clean implementations, documentation, and examples.
Gabor filters perform image filtering to extract texture features at multiple orientations and scales, enabling comprehensive texture analysis through frequency and spatial domain processing.
MATLAB implementation of Gabor filters featuring 5 scales and 8 orientations by default, with customizable parameters for optimized filtering performance in image processing applications.
Gabor filter implementation in MATLAB for detecting image edge information, featuring practical code examples and explanations suitable for beginners learning image processing techniques.
Implementation of Gabor filters for image texture feature extraction, focusing on image classification and pattern recognition with code-oriented methodology
Gabor filters perform 2D Gabor wavelet transform on images for specialized feature extraction with configurable frequency and orientation parameters
Optimized Gabor filter implementation function offering superior filtering performance and improved image feature extraction capabilities compared to standard downloadable versions
This program implements 3D visualization of Gabor filters and demonstrates their application through frequency-domain convolution on an image, featuring 1 scale and 6 different orientations with algorithmic implementation details
MATLAB source code implementation of Gabor filter with image enhancement capabilities, featuring multi-orientation frequency analysis and texture feature extraction.
A palmprint recognition approach that utilizes Gabor filters for enhanced feature extraction and improved identification accuracy, including parameter optimization studies.
MATLAB code implementation for recursive Gabor filter design, originating from international research institutions, offering significant reference value for both research and practical applications, featuring optimized algorithms and modular function architecture.