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Contrast-based color image segmentation

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3 Author(s)
Hsin-Chia Chen ; Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsin-Chu, Taiwan ; Wei-Jung Chien ; Sheng-Jyh Wang

In this letter, we propose a color image segmentation algorithm based on contrast information. Given a color image, we use contrast information, instead of the commonly used derivative information, to detect edges. To fit for human's visual perception, the CIE L*a*b* color space is used and the ΔEab color difference is adopted as the measure of color contrast. A subjective experiment is made to demonstrate the weak correlation between the perceived color contrast and the levels of (L*,a*,b*). This experiment implies the feasibility of using a single-threshold scheme to suppress perceptually faint boundaries. A complete segmentation scheme is proposed and the simulation results demonstrate the superiority of this approach in providing reasonable and reliable color image segmentation.

Published in:

Signal Processing Letters, IEEE  (Volume:11 ,  Issue: 7 )