Segmentation of color images refers to the process of partitioning an image into multiple segments or regions, typically based on color similarity. This technique is widely used in image processing, computer vision, and graphics for tasks such as object recognition, image analysis, and computer-generated imagery. Algorithms for color image segmentation can range from simple thresholding to more complex methods like clustering and machine learning-based approaches.