Title : 
Color segmentation using perceptual attributes
         
        
            Author : 
Tseng, Din-Chang ; Chang, Chung-Hsun
         
        
            Author_Institution : 
Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-Li, Taiwan
         
        
        
            fDate : 
30 Aug-3 Sep 1992
         
        
        
        
            Abstract : 
A general approach for achieving color image segmentation using uniform-chromaticity-scale perceptual color attributes is proposed. At first chromatic and achromatic areas in a perceptual IHS color space are defined. Then the image is separated into chromatic and achromatic regions according to the region locations in the color space. 1-D histogram thresholding for each color attribute is performed to split the chromatic and achromatic regions, respectively. Finally the region growing is used to solve the oversegmentation problem. In an experiment the power of the proposed approach is demonstrated
         
        
            Keywords : 
colour; computer vision; image segmentation; 1D histogram thresholding; achromatic regions; chromatic region; color image segmentation; computer vision; intensity-hue-saturation colour; perceptual IHS color space; uniform-chromaticity-scale perceptual color attributes; Color; Computer science; Computer vision; Councils; Euclidean distance; Histograms; Humans; Image segmentation; Layout; Pixel;
         
        
        
        
            Conference_Titel : 
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
         
        
            Conference_Location : 
The Hague
         
        
            Print_ISBN : 
0-8186-2920-7
         
        
        
            DOI : 
10.1109/ICPR.1992.201967