Image Recognition and Classification Methods

This MATLAB source code implements image recognition and classification methods. The code provides a feature-based classification approach suitable for image recognition and classification tasks. The implementation utilizes MATLAB's Image Processing Toolbox, where input images undergo feature extraction followed by the application of classification algorithms to achieve accurate image categorization. Key technical aspects include: - Feature extraction methods that may include texture analysis, color histogram computation, or shape descriptors - Classification algorithms potentially implementing SVM, KNN, or neural network approaches - Integration of MATLAB functions like regionprops for feature measurement or classify for machine learning implementation This source code serves as a valuable resource for studying and researching image recognition and classification algorithms. If you're interested in image recognition and classification, you can execute this code and conduct related experiments and modifications. The modular structure allows easy adjustment of parameters and algorithm components for different image datasets. We hope this source code proves beneficial for your projects!