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The Improvement of Rough- set Theory Histogram in Color- image Segmentation

  • Zheng, Qi (Division of Electronics and Information Engineering Chonbuk National University) ;
  • Lee, Hyo Jong (Division of Electronics and Information Engineering Chonbuk National University)
  • Published : 2011.11.11

Abstract

Roughness set theory is a popular topic to use in color-image segmentation. A new popular color image segmentation algorithm is proposed by scientists with the point using traditional histogram and Histon construct roughness set histogram. But, there is still a problem about that is the correlativity of color vector in roughness set histogram, which take an inactive effect in the process of color-image segmentation. Therefore, this paper represents further research based on this and proposed an improved method proved through lot of experiments. The experimental result reduces the correlativity of color vector in roughness set histogram and calculation time remarkably.

Keywords