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Color Image Segmentation Based on Edge Salience Map Region Merging

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2007, 12(3), pp.105-114
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kim, Sung-Young 1

1금오공과대학교

Accredited

ABSTRACT

In this paper, an image segmentation method which is based on edge salience map and region merging is presented. The edge salience map is calculated by combining a texture edge map with a color edge map. The texture edge map is computed over multiple spatial orientations and frequencies by using Gabor filter. A color edge is computed over the H component of the HSI color model. Then the Watershed transformation technique is applied to the edge salience map to find homogeneous regions where the dissimilarity of color and texture distribution is relatively low. The Watershed transformation tends to over-segment images. To merge the over-segmented regions, first of all, morphological operation is applied to the edge salience map to enhance a contrast of it and also to find the mark regions. Then the region characteristics, a Gabor texture vector and a mean color, in the segmented regions is defined and regions that have the similar characteristics, are merged. Experimental results have demonstrated the superiority in segmentation results for various images.

Citation status

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