Simulating Photoshop Magic Wand Effect for Image Segmentation

This MATLAB program implements image segmentation by simulating Photoshop's Magic Wand effect. The Magic Wand tool is a popular image processing technique that segments images into distinct regions based on pixel color and brightness similarity. The program utilizes MATLAB's image processing capabilities to achieve this functionality through color thresholding and region growing algorithms. Image segmentation represents a crucial task in computer vision, essential for identifying and analyzing different objects or regions within images. This implementation employs color-based segmentation where the program calculates color differences between pixels and expands regions based on similarity thresholds. Key functions likely include imread for image loading, rgb2gray for grayscale conversion (if needed), and custom algorithms for calculating color distances and performing connected component analysis. Through this program, users can gain deeper understanding of image segmentation principles and methods, particularly how threshold values affect region selection and how connectivity criteria influence segmentation results. The code demonstrates practical implementation of region-growing techniques where similar pixels are grouped together based on user-defined tolerance levels, mimicking the interactive selection behavior of Photoshop's Magic Wand tool.