MATLAB Code Implementation for Connected Component Recognition

In this project, we need to identify connected components within images and automatically calculate their sizes in the MATLAB environment. This approach enables us to better understand the dimensions and shapes of different regions in images, utilizing this information for subsequent analysis. To achieve this objective, we employ image processing algorithms to detect and extract connected components, leveraging MATLAB's built-in functions to compute their sizes. This implementation typically involves using functions like bwconncomp() to identify connected components and regionprops() to calculate properties such as area, perimeter, and bounding box dimensions. The algorithm processes binary images where connected pixel groups are identified using 4-connected or 8-connected neighborhood criteria. Through this methodology, we can more comprehensively characterize and analyze connected regions within images, with potential applications in object counting, feature extraction, and morphological analysis.