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Journal of Information Science and Engineering, Vol. 25 No. 6, pp. 1885-1899 (November 2009)

Analysis of Camera's Images Influenced by Varying Light Illumination for Design of Color Segmentation*

KUO-YANG TU
Institute of System Information and Control
National Kaohsiung First University of Science and Technology
Kaohsiung, 811 Taiwan

Cameras are excellent sensors in robotic systems. However, a camera being extreme sensitive to illumination variation restricts its capability. In this paper, color image segmentation of a camera influenced by varying light illumination is studied for extending cameras capability in the future. The influence of an image captured by camera due to varying light illumination is analyzed. The components of image data represented by colors make the influence of varying light illumination visible for conveniently analyzing. In the analysis, the change rules of the YUV components due to varying illumination is induced to formulate a database consisted of the set of boundaries. Based on the database, an adaptive algorithm for color segmentation against unstable lighting is proposed. The development of the algorithm is summarized by a design procedure. Practical experiments demonstrate the performance of the proposed algorithm. In addition, the adaptive algorithm against uncertain light illumination is included.

Keywords: color segmentation, varying light illumination, image processing, robot vision, adaptive segmentation

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Received November 28, 2007; revised April 18 & June 9, 2008; accepted June 12, 2008.
Communicated by Tong-Yee Lee.
* This paper was partially supported by the National Science Council of Taiwan, R.O.C. under grants No. NSC- 93-2213-E-327-017-.