It is difficult to separate the foreign fiber objects in a captured color image from the background accurately.To solve this problem,this paper presents a new approach for color image segmentation in RGB color space based on color saliency.Firstly,the captured RGB color image was separated to R,G and B color channels,and the color information for each channel was calculated.Secondly,the R saliency for each pixel in the R channel,the G saliency for each pixel in the G channel,and the B saliency for each pixel in the B channel was calculated respectively.Then comprehensive saliency map was obtained by the weighted R,G and B saliency.The weights for the R,G and B saliency were determined by the corresponding color information of each color channel.At last,the foreign fiber targets were separated out from the comprehensive saliency map using a threshold method.The results indicate that the proposed method can segment out the foreign fiber objects from the color image accurately.