Automatic color extraction from images involves using image processing techniques. It typically requires an algorithm to analyze the pixel data of the image and identify the most prominent colors. Common methods include k-means clustering, histogram analysis, and color moment analysis. These techniques can be applied in various applications such as image segmentation, color quantization, and content-based image retrieval.