[An automatic color correction algorithm for digital human body sections].
OBJECTIVE
To find a new approach to improve the uniformity of color parameters for images data of the serial sections of the human body.


METHODS
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.


RESULTS
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.


CONCLUSIONS
Using the algorithm, the color of the original database is corrected automatically and quickly. The uniformity of color parameters for corrected dataset is improved.
Zhuge
Bin
B
Zhou
He-qin
HQ
Tang
Lei
L
Lang
Wen-hui
WH
Feng
Huan-qing
HQ
D000465:Algorithms; D044466:Asian People; D003124:Colorimetry; D003196:Computer Graphics; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008953:Models, Anatomic; D014930:Women