Research on Color Segmentation Algorithms in Visual Communication Technology for Human-Computer Interaction Systems

With the rapid development of human-computer interaction (HCI) systems, color segmentation technology, as a crucial aspect of visual communication, plays an indispensable role in achieving efficient human-computer interaction. To this end, we propose a color segmentation algorithm tailored for visual communication in human-computer interaction systems. In this algorithm, we first introduce a K-means parameter algorithm that adapts to the RGB histogram to extract color peak points and determine the initial classification centers. Subsequently, we devise a joint feature similarity calculation algorithm that comprehensively considers the similarity of pixel blocks across multiple dimensions, including color, texture, and spatial location. This ensures meticulous and precise segmentation of color features. Experimental results demonstrate that our proposed algorithm exhibits significant advantages in both segmentation effectiveness and computational efficiency compared to other methods, providing powerful new support for the further advancement of the human-computer interaction field.