The article explores different techniques for dividing images into distinct parts, known as image segmentation. By using algorithms like active contour and clustering, researchers found that combining intensity and texture-based segmentation methods leads to better results than traditional approaches. This study highlights the importance of enhancing segmentation techniques to support both intensity and texture-based methods for improved image analysis.