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Boundary Shape Recognition Using Accumulated Length and Angle Information

  • Marçal Rusiñol
  • Philippe Dosch
  • Josep Lladós
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4478)

Abstract

In this paper we present a method to recognize shapes by analyzing a polygonal approximation of their boundaries. The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.

Keywords

Dynamic Time Warping Content Base Image Retrieval Zernike Moment Turning Angle Normalize Cross Correlation 
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 Berlin Heidelberg 2007

Authors and Affiliations

  • Marçal Rusiñol
    • 1
  • Philippe Dosch
    • 2
  • Josep Lladós
    • 1
  1. 1.Computer Vision Center, Dept. Ciències de la Computació, Edifici O, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona)Spain
  2. 2.Loria UMR 7503, 615, rue du jardin botanique, B.P. 101, 54602, Villers-lès-Nancy CedexFrance

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