Based on color image similarity

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Color image similarity refers to the degree of similarity between two images based on their color content. This concept is widely used in image processing and computer vision for tasks like image recognition, image retrieval, and object detection. It involves comparing color distributions, color moments, or color histograms between images to determine their similarity. Techniques such as color moment invariants, color naming, and color clustering are often employed to achieve this.