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- W2204764643 abstract "The Conventional methods of color separation in computer-based machine vision offer only weak performance because of environmental factors such as light source, camera sensitivity, and others. In this paper, we propose an improved color separation method using RGB, HLS, color coordination space, and fuzzy similarity measure. RGB consists of red, green and blue, the three primary colors of light. HLS includes hue, light and saturation, the human rec-ognition elements of color. A fuzzy similarity measure was employed or evalu-ate the similarity among fuzzy colors with the six features of RGB and HLS. A color recognition system for the harness line was designed and implemented as a testbed to evaluate the physical performance. The proposed color separation algorithm was tested with different kinds of harness line." @default.
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- W2204764643 date "2005-09-01" @default.
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- W2204764643 title "A Fuzzy Similarity Measure for Natural Color Recognition" @default.
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