The first step aims to recognize th

The first step aims to recognize the position of the cloth content
and lows the influence of the background. After the first step of
k-means, we reconstruct the image as the clustering data for the
second step of mean shift.The recognition effect achieves above
85% by calculating the distance of the clustering center of our
color model of pixel, comparing to the database with the
accurately color map of our clothes’ images. The experiment of
our approach shows that the two-steps k-means and mean shift of
color recognition is improved. We developed a color recognition
system of clothes for the image searching using that approach
and the recognition performance is optimized.