Image Classification Using SVM Algorithm with Feature Extraction Techniques

This project implements an SVM-based image classification system to automatically distinguish between basketball courts and tennis courts. The implementation includes color moment-based feature extraction for color images, complemented by HOG (Histogram of Oriented Gradients) and LBP (Local Binary Pattern) algorithms for enhanced feature representation. The workflow incorporates preprocessing steps like noise reduction and image enhancement to ensure input quality consistency.