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http://dx.doi.org/10.5302/J.ICROS.2002.8.7.589

Implementation of Intelligent Expert System for Color Measuring/Matching  

An, Tae-Cheon (Dept.of Electric Electronics Information Engineering, Wonkwang University)
Jang, Gyeong-Won (Dept.of Electric Electronics Information Engineering, Wonkwang University)
O, Seong-Gwon (Dept.of Electric Electronics Information Engineering, Wonkwang University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.8, no.7, 2002 , pp. 589-598 More about this Journal
Abstract
The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.
Keywords
image processing; image histogram; color measuring; color matching; intelligent algorithms;
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