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

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

228

Lastpage

231

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICPR.1992.201967

Filename

201967