Color matching for colored fiber blends based on the fuzzy c-mean cluster in HSV color space

Colored fibers can be blended in a certain proportion to achieve a specific color. It is a very hard task for the colorist to find a good recipe to meet the final product without the aid of computer. In this paper, a color matching method for the colored fiber blends is discussed to substitute some manual work. The fuzzy C-mean cluster way is carried to group the color in the colored fiber blends image. The distance index, which is a key factor during the fuzzy C-mean cluster process, is calculated in the HSV color space with some transformation. The final experiment result proved that, the information of the colors in the blends´ image can be replaced by corresponding cluster center associating colors, and the main texture as well as the details about the fibers in the image is preserved.