Calculate and Visualize Centroids of Multiple Regions in Images

This implementation calculates the centroids of multiple regions within an image and overlays them directly on the image display. The functionality is particularly suitable for beginners learning image processing concepts. The algorithm typically involves region segmentation using techniques like thresholding or connected component analysis, followed by centroid calculation for each detected region using the formula: centroid_x = sum(x_i)/N and centroid_y = sum(y_i)/N, where (x_i, y_i) are pixel coordinates within each region and N is the total number of pixels. Key functions may include region labeling, coordinate summation, and matplotlib visualization for plotting centroid markers. Through this implementation, beginners can gain practical understanding of how to compute centroids for multiple image regions and visualize results effectively. This serves as a valuable educational tool for enhancing image processing skills and algorithmic knowledge. Beginners are encouraged to experiment with this functionality to observe how centroid detection and visualization work in practical scenarios. This implementation aims to provide foundational learning support for those starting in computer vision and image analysis.