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Proceedings Paper

The research on automatic white balance for digital microscope
Author(s): Xin-xin Yan; Lei Zhang; Ting-yu Zhao; Fei-hong Yu
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Paper Abstract

Automatic white balance plays a key role in digital color imaging system based on CCD/CMOS sensors. The gray world method and its variants are widely used for their simplicity. However, they will fail if the image is dominated by only one or two colors. The iterative method, which extracts gray color points from the image for color temperature estimation, performs well if there are enough gray color points. But it does not work in the case of serious color casts or lack of gray color points. Thus, a new method is proposed combining the iterative method and the gray world method. The iterative method is for fine adjustment, while the gray world method is for coarse adjustment. The characteristics of the digital microscope are taken into account as well. There are three major contributions in the paper. First, brightness constraint is considered during the gray color points detection. The detecting procedure is more precise as a result. Second, each frame of the video stream is divided into n-by-n blocks so as to increase the immunity to the noise. Last, the fine adjustment and the coarse adjustment are combined together. The 'Fine-Coarse-Fine' routine adjusts the image properly even though there are not sufficient gray color points. Experiments on digital microscope indicate that the proposed automatic white balance method is robust, effective and efficient.

Paper Details

Date Published: 6 August 2009
PDF: 7 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 738417 (6 August 2009); doi: 10.1117/12.835316
Show Author Affiliations
Xin-xin Yan, Zhejiang Univ. (China)
Lei Zhang, Zhejiang Univ. (China)
Ting-yu Zhao, Zhejiang Univ. (China)
Fei-hong Yu, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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