Explore MATLAB source code curated for "特征提取" with clean implementations, documentation, and examples.
Feature extraction process that captures texture and shape features from distinct labeled regions within images, enabling advanced image analysis through computational methods.
Based on intrinsic fingerprint patterns, we propose a comprehensive fingerprint image preprocessing and feature extraction algorithm suite. Enhancements include improved ridge frequency calculation algorithms, optimized binary image hole noise removal, and a novel method for filtering pseudo-feature points. Testing conducted on hundreds of fingerprint images of varying quality demonstrates significant effectiveness. Key implementations involve frequency domain analysis for ridge detection and morphological operations for noise reduction. Keywords: fingerprint; preprocessing; feature extraction; algorithm optimization; image quality testing.
Feature extraction of rubbing fault signals based on wavelet transform enables visualization of original signals, shaft centerline orbits, frequency spectra, and reconstructed signals from multi-level wavelet decomposition with MATLAB implementation approaches
Image segmentation and feature extraction in the MATLAB development environment, featuring algorithm implementations and code examples
MATLAB source code for feature extraction through Principal Component Analysis in pattern recognition, including algorithm implementation and key function explanations
An image retrieval program based on Gabor wavelet transform, featuring comprehensive modules for feature extraction, feature matching, and result return with algorithmic enhancements for improved accuracy.
Implement image feature extraction using Gabor wavelets with ready-to-use code for direct implementation
This MATLAB implementation demonstrates Gabor wavelet feature extraction with comprehensive image testing capabilities. Gabor wavelets have gained significant popularity among researchers for image feature extraction due to their effectiveness in capturing essential characteristic information from images. The implementation includes multiple Gabor filter configurations with adjustable parameters for optimal feature detection.
Feature extraction of radar signals to achieve pattern recognition, including source code implementation with algorithms like FFT, wavelet transforms, and statistical feature calculation methods
Comprehensive overview of image feature extraction techniques, including implementations using MATLAB's fuzzy clustering algorithm for image segmentation, threshold-based segmentation methods, and feature extraction approaches with supporting materials and assignments.