Object extraction in gray-scale images by optimizing roughness measure of a fuzzy set

  • Authors:
  • D. V. Janardhan Rao;Mohua Banerjee;Pabitra Mitra

  • Affiliations:
  • Indian Institute of Technology Kanpur, Kanpur, India;Indian Institute of Technology Kanpur, Kanpur, India;Indian Institute of Technology Kanpur, Kanpur, India

  • Venue:
  • PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
  • Year:
  • 2005

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Abstract

Object extraction from gray-tone images involve handling of inherent uncertainties in an image. Traditionally fuzzy set theoretic techniques are used for this purpose. However, roughness and limited discernibility of objects is another important aspect of image uncertainty. In this article we propose an algorithm for selection of intensity threshold for object extraction by optimizing a roughness measure of the fuzzy set corresponding to the image object. The rough-fuzzy algorithm is tested on some benchmark images.