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Matching Shapes with Self-intersections

  • Sadegh Abbasi
  • Farzin Mokhtarian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)

Abstract

We address the problem of 2D shape representation and matching in presence of self-intersection for large image databases. This may occur when part of an object is hidden behind another part and results in a darker section in the gray level image of the object. The boundary contour of the object must include the boundary of this part which is entirely inside the outline of the object. In this paper, we study the e_ects of contour self-intersection on the Curvature Scale Space image. When there is no self-intersection, the CSS image contains several arch shape contours, each related to a concavity or a convexity of the shape. Self intersections create contours with minima as well as maxima in the CSS image. An efficient shape representation method has been introduced in this paper which describes a shape using the maxima as well as the minima of its CSS contours. This is a natural generalisation of the conventional method which only includes the maxima of the CSS image contours. The conventional matching algorithm has also been modified to accommodate the new information about the minima. The method has been successfully used in a real world application to find, for an unknown leaf, similar classes from a database of classiffied leaf images representing different varieties of chrysanthemum. For many classes of leaves, self intersection is inevitable during the scanning of the image.

Keywords

Dark Section Gray Level Image Shape Representation Boundary Contour Leaf Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Sadegh Abbasi
    • 1
  • Farzin Mokhtarian
    • 1
  1. 1.Centre for Vision, Speech and Signal ProcessingUniversity of SurreyGuildfordEngland

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