Image segmentation is a process that divides images into different regions based on their characteristics. Different algorithms are used for this purpose, such as Otsu's algorithm, K-means, quad tree, Delta E, Region growing, and fth algorithms. In this study, these algorithms were implemented in MATLAB and tested on various images. The results showed that these segmentation algorithms are effective in dividing images into regions based on features like pixel intensity, color, and texture.