A MATLAB Example for Template Matching

This is a MATLAB example program demonstrating template matching, designed with exceptional clarity and ease of understanding. The implementation showcases how to load images into the code and apply template matching algorithms to locate specific shapes or objects within the image. The program features high readability through the use of descriptive variable names and comprehensive comments, enabling developers to easily comprehend and modify the code for their specific requirements. From a technical perspective, this example likely utilizes MATLAB's image processing functions such as imread() for image loading and normxcorr2() for normalized cross-correlation-based template matching. The algorithm works by sliding the template across the source image while computing similarity metrics at each position, typically using correlation coefficients to identify regions with the highest match probability. This implementation serves as an excellent educational resource for understanding template matching algorithms, providing an easily adaptable foundation for further development and customization in computer vision applications.