Polygonal approximation of planar curves using triangular suppression

Mohammad Tanvir Parvez, Sabri A. Mahmoud

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this paper, we present a novel non-parametric polygonal approximation algorithm for planar curves. The proposed algorithm first selects all the breakpoints on the contour. From this set, a smaller set of high curvature points, cut-points, are obtained. An optimization procedure adaptively finds the best fitting polygonal approximation. Our algorithm adaptively locates segments of the contour with different levels of details. The proposed algorithm follows the contour more closely where the level of details on the curve is high. Experimental results demonstrate that the proposed algorithm is robust for noisy, real-life contours and compares favorably with other algorithms.

Original languageEnglish
Title of host publication10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Pages622-625
Number of pages4
DOIs
StatePublished - 2010

Publication series

Name10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010

Keywords

  • Contour processing
  • Dominant points
  • Planar curves
  • Polygonal approximation

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing

Fingerprint

Dive into the research topics of 'Polygonal approximation of planar curves using triangular suppression'. Together they form a unique fingerprint.

Cite this