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Optimal Combination of Component Images for Segmentation of Color Codes  

Kwon B. H (Sangmyung University)
Yoo H-J. (Sangmyung University)
Kim T. W. (Hanyang Cyber University)
Kim K D. (Kookmin University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.1, 2005 , pp. 33-42 More about this Journal
Abstract
Identifying color codes needs precise color information of their constituents, and is far from trivial because colors usually suffer severe distortions throughout the entire procedures from printing to acquiring image data. To accomplish accurate identification of colors, we need a reliable segmentation method to separate different color regions from each other, which would enable us to process the whole pixels in the region of a color statistically, instead of a subset of pixels in the region. Color image segmentation can be accomplished by performing edge detection on component image(s). In this paper, we separately detected edges on component images from RGB, HSI, and YIQ color models, and performed mathematical analyses and experiments to find out a pair of component images that provided the best edge image when combined. The best result was obtained by combining Y- and R-component edge images.
Keywords
segmentation; edge detection; HSI; YIQ; color code;
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