Explore MATLAB source code curated for "图像特征提取" with clean implementations, documentation, and examples.
Comprehensive feature extraction methods including color features, texture features, shape features, and SIFT features, accompanied by a compact CBIR retrieval system implementation code and detailed explanatory presentation materials.
Implementation of SIFT Algorithm for Image Feature Detection and Description
A practical MATLAB implementation for image feature extraction, providing useful image recognition capabilities with code examples
Image feature extraction techniques focusing on moment invariants and Hu moments (f1-f7), implemented in MATLAB for robust object recognition systems.
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.
A MATLAB-based manifold learning algorithm implementation for image feature extraction and behavior pattern recognition, featuring dimensionality reduction techniques and data transformation capabilities.
A well-established 2D Empirical Mode Decomposition implementation for image feature extraction and decomposition, featuring robust sifting processes and adaptive basis functions
Image feature extraction using HOG (Histogram of Oriented Gradients) features - The code has been thoroughly tested and is ready for immediate use, ensuring reliable performance for computer vision applications
This design requirement implements a medical image recognition process comprising three main modules: image preprocessing, image feature extraction, and classification decision. The preprocessing module performs color-to-grayscale conversion, image binarization, histogram correction, noise removal, and edge enhancement. Feature extraction module processes image characteristics through algorithms that analyze local grayscale variations. The classification module employs discriminant functions and rules to identify targets based on extracted features.
A MATLAB-based image feature extraction program featuring an 8-dimensional HSV color histogram extraction function and a main program capable of batch processing multiple images. The implementation includes specialized functions for converting RGB to HSV color space and computing histogram distributions across hue, saturation, and value channels.