Image Classification Based on Block Partition Feature Extraction Using SVM

This project includes: research paper on SVM for image classification using block partition feature extraction, with corresponding MATLAB implementation where image partitioning, feature extraction, and clustering are completed using MATLAB 6.5. The MATLAB code implementation involves key functions for image processing blocks, feature vector computation, and clustering algorithms integration.