The article discusses a method for breaking down color images into smaller parts in a precise and efficient way. The researchers used a technique called multiscale normalized cut to divide the image into segments, and then improved a method to combine these segments. By setting a threshold, they were able to achieve the best segmentation results. The experiments showed that this method accurately separates different parts of the image while being computationally fast.