A contour based scheme for representing arbitrary shapes in digital images

  • Authors:
  • B. Rajesh Kanna;Chandrabose Aravindan;K. Kannan

  • Affiliations:
  • St. Joseph's College of Engineering, Chennai, India;SSN College of Engineering, Chennai, India;SASTRA University, Thanjavur, India

  • Venue:
  • Proceedings of the International Conference & Workshop on Emerging Trends in Technology
  • Year:
  • 2011

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Abstract

Shapes in images provide important features for pattern recognition, pattern matching, content-based image retrieval, etc. In this paper, a contour based structural approach is proposed to represent any arbitrary shape in an image by an alpha-numeric string. The proposed method performs decomposition of the region into disjoint sub-regions by detecting the features of the contour such as bend points, vertical & horizontal straight lines, etc. The representation of those sub-regions is achieved by using strings in a six letter alphabet. The representation is invariant to size since it includes a size-based ratio. The drawbacks of existing contour-based shape representation techniques are discussed, and it is shown how this new method overcomes them.