Identification of Different Fruits

This file contains MATLAB code designed for identifying various types of fruits. The implementation is developed following the principles outlined in Gonzalez's seminal work on digital image processing. The algorithm employs key computer vision techniques including color segmentation using HSV color space, morphological operations for noise removal, and shape-based classification through boundary analysis. The code implements feature extraction methods such as statistical texture analysis and geometric property calculations to distinguish between different fruit categories. This solution proves highly effective in automating fruit identification processes, offering significant time savings and accuracy improvements for applications in agricultural technology and food industry quality control. For researchers and practitioners interested in computer vision applications, this implementation serves as a practical reference for object recognition algorithms, demonstrating robust image preprocessing, feature selection, and classification methodology using MATLAB's Image Processing Toolbox functions like regionprops, bwlabel, and color thresholding operations.