Morphological filters perform nonlinear signal transformations that locally modify geometric features of signals.It has been shown that morphological filters can be efficiently used to filter noise in binary images and gray scale images.In this paper

color morphological operations

based on the RGB （red green blue） color space

are introduced

which extend theory of mathematical morphology to color image processing.The most fundamental color morphological filters

color opening and color closing

are proposed and used to construct more powerful color morphological filters.Analyses are developed.Experimental results show that color morphological filters are very suitable and powerful to eliminate noise of color images without blurring image and producing new color.They perform better than vector median filter.