Image color segmentation

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Image color segmentation refers to the process of partitioning an image into multiple segments based on the color content. It is a technique used in image processing, computer vision, and machine learning. This process can be performed using various algorithms such as k-means clustering, thresholding, or edge detection. It is commonly used for applications like image compression, object recognition, and content-based image retrieval.