Explore MATLAB source code curated for "特征描述" with clean implementations, documentation, and examples.
LBP features, or Local Binary Patterns, provide a convenient method for texture analysis. After computation, these features are typically described using histograms of local regions, enabling efficient texture classification and pattern recognition in image processing applications.
This algorithm implements canonical correlation analysis, which is crucial for feature description and correlation analysis between multivariate datasets.
Image retrieval technology utilizing Gray-Level Co-occurrence Matrix (GLCM), featuring complete implementation of feature extraction, feature description, feature matching, and result return with algorithm optimization.
Code Implementation of the Shape Context Algorithm Based on the Original Proposer's Research Paper