Computer color management of dyestuff manufacturing on fuzzy inference

Tae-Chon Ahn; Kyung-Won Jang; Hyoung-Gwon Kim; Zhong-Xian Wang

doi:10.1117/12.664648

2 May 2006 Computer color management of dyestuff manufacturing on fuzzy inference

Tae-Chon Ahn, Kyung-Won Jang, Hyoung-Gwon Kim, Zhong-Xian Wang

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 604228 (2006) https://doi.org/10.1117/12.664648
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

Abstract

A compromised color management method was proposed that was modeled after visual perception instead of conventional color management method that using spectrum analysis. The proposed scheme used a computer color scanner to obtain a bit map image from dyed original color sample, and conduct pixel analysis using an image histogram. From the image histogram, it can extract the color and RGB value that shows the dominant pixel distribution of the sample image. An RGB color model was constructed for dyestuff manufacturing with a rule-based algorithm. Constructed color model can minimize additional experiment to obtain more color and produce the color recipe information from basic data. And performance of color matching was measured as a Euclidean distance that compares the RGB value of the original color with RGB value of the produced color. The matching range was confirmed by threshold of Euclidean distance.

Citation Download Citation

Tae-Chon Ahn, Kyung-Won Jang, Hyoung-Gwon Kim, and Zhong-Xian Wang "Computer color management of dyestuff manufacturing on fuzzy inference", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 604228 (2 May 2006); https://doi.org/10.1117/12.664648

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