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PubMed · 16161278

[An automatic color correction algorithm for digital human body sections].

Bin Zhuge·He-qin Zhou·Lei Tang·Wen-hui Lang·Huan-qing Feng
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Abstract

OBJECTIVE: To find a new approach to improve the uniformity of color parameters for images data of the serial sections of the human body. METHOD: An auto-color correction algorithm in the RGB color space based on a standard CMYK color chart was proposed. The gray part of the color chart was auto-segmented from every original image, and fifteen gray values were attained. The transformation function between the measured gray value and the standard gray value of the color chart and the lookup table were obtained. In RGB color space, the colors of images were corrected according to the lookup table. RESULT: The color of original Chinese Digital Human Girl No. 1 (CDH-G1) database was corrected by using the algorithm with Matlab 6.5, and it took 13.475 s to deal with one picture on a personal computer. CONCLUSION: Using the algorithm, the color of the original database is corrected automatically and quickly. The uniformity of color parameters for corrected dataset is improved.

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AlgorithmsAsian PeopleColorimetryComputer GraphicsHumansImage Processing, Computer-AssistedModels, AnatomicWomenJournal Article

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Bin Zhuge, He-qin Zhou, Lei Tang, Wen-hui Lang, Huan-qing Feng. 2005. [An automatic color correction algorithm for digital human body sections].. https://pubmed.ncbi.nlm.nih.gov/16161278/

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