The article discusses how images can be divided into different parts using a method called K-means clustering. This method is fast and efficient, making it widely used in image segmentation. The researchers implemented a color-based image segmentation using K-means clustering. The K-means algorithm helps to divide the image into clusters, improving the segmentation process.