Abstract
Although skin color segmentation using different color spaces has been investigated using various approaches, there is still much to explore. Previous comparative analyses of different color space models did not sufficiently address the performance of color space models against the cases where training samples for skin color and test samples are taken under different environments. In this paper, we present a comparative study on different color space models for skin color segmentation. To show the significance of choosing the proper color space model, we investigated thirteen different color space models using two different skin color samples on two databases. Results of comparative experiment show that the CIECAM02 color appearance model can most precisely segment the true skin color against various skin color samples.
