Color segmentation using perceptual attributes

Din Chang Tseng, Chung Hsun Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

68 Scopus citations


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 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 region growing is used to solve oversegmentation problem. In experiment we demonstrate the power of the proposed approach.

Original languageEnglish
Title of host publicationIAPR 1992 - 11th IAPR International Conference on Pattern Recognition
Subtitle of host publicationImage, Speech, and Signal Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)0818629207
StatePublished - 1992
Event11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
Duration: 30 Aug 19921 Sep 1992

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Conference11th IAPR International Conference on Pattern Recognition, IAPR 1992
CityThe Hague


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