MATLAB Code Implementation for Image Recognition

This is an image recognition program that utilizes advanced algorithms and techniques to analyze pixel data and color information within images, enabling accurate identification of geometric shapes. By processing and comparing specific feature points in the image, the program can distinguish various shapes such as circles, squares, triangles, and more. The implementation typically involves preprocessing steps like image filtering and edge detection using functions like edge() and imfilter(), followed by feature extraction algorithms such as Hough transform for circle detection (imfindcircles()) or corner detection (corner()) for polygonal shapes. This type of image recognition program finds extensive applications across multiple domains including computer vision, artificial intelligence, and autonomous driving systems. It facilitates better understanding and utilization of visual information, thereby creating new possibilities and conveniences for both daily life and professional applications.