Fruit Recognition System with MATLAB GUI Implementation

I have developed a comprehensive fruit recognition system in MATLAB, complete with a custom-designed GUI interface and supporting image dataset. The program includes thorough inline documentation explaining each processing step and algorithmic methodology. This system allows users to upload fruit images, after which it automatically identifies the fruit type and provides detailed results with explanatory feedback. The implementation utilizes MATLAB's Image Processing Toolbox for feature extraction and Computer Vision Toolbox for classification tasks. Key components include: - Preprocessing pipeline employing histogram equalization and morphological operations - Feature extraction using color histograms, texture analysis (GLCM features), and shape descriptors - Machine learning classification with SVM (Support Vector Machine) or Neural Network implementations - GUI built using MATLAB App Designer with callback functions for image upload, processing, and result display The system architecture balances computational efficiency and recognition accuracy through optimized algorithm selection and parameter tuning. The interface design prioritizes user experience with intuitive controls and real-time processing feedback. For technical inquiries or improvement suggestions, please feel free to contact me for code discussion or collaboration opportunities.