Explore MATLAB source code curated for "图形识别" with clean implementations, documentation, and examples.
The SIFT algorithm effectively identifies corresponding feature points across different images, demonstrating strong utility in tracking and graphical recognition applications, typically implemented through multi-scale feature detection and descriptor generation.
The snake algorithm, used for extracting object contours, demonstrates high recognition rates for general shapes (as long as edge angles do not exceed 90 degrees). This implementation includes energy minimization functions and iterative curve evolution techniques.
A simple shape recognition program utilizing fundamental algorithms and the Image Acquisition Toolbox for feature extraction and classification