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.

Classic Feature Extraction Algorithm: 2DPCA with MATLAB Implementation

A very classic feature extraction algorithm - 2DPCA source code written in MATLAB, featuring efficient matrix operations and dimensionality reduction techniques

Feature Extraction Algorithm with Comprehensive Capabilities

An algorithm for feature extraction that specializes in feature point detection and related edge detection operations, implemented through digital image processing techniques

Feature Extraction Algorithms in Iris Recognition

Feature Extraction Algorithms in Iris Recognition: 2D-Gabor Filter Algorithm, which processes normalized iris images through this filter to generate binary feature codes. Includes illustrative diagram demonstrating the filtering process and feature encoding pipeline.