A Rough-Fuzzy HSV Color Histogram for Image Segmentation

  • Alessio Ferone
  • Sankar Kumar Pal
  • Alfredo Petrosino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6978)

Abstract

A color image segmentation technique which exploits a novel definition of rough fuzzy sets and the rough–fuzzy product operation is presented. The segmentation is performed by partitioning each block in multiple rough fuzzy sets that are used to build a lower and a upper histogram in the HSV color space. For each bin of the lower and upper histograms a measure, called τ index, is computed to find the best segmentation of the image. Experimental results show that the proposed method retains the structure of the color images leading to an effective segmentation.

Keywords

Image segmentation Color Image Histogram Rough Sets Fuzzy Sets 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alessio Ferone
    • 1
  • Sankar Kumar Pal
    • 2
  • Alfredo Petrosino
    • 1
  1. 1.DSA - Universitá di Napoli ParthenopeNapoliItaly
  2. 2.Machine Intelligence Unit, Indian Statistical InstituteKolkataIndia

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