A non-heuristic dominant point detection based on suppression of break points

  • Authors:
  • Dilip K. Prasad;Chai Quek;Maylor K. H. Leung

  • Affiliations:
  • School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore;Faculty of Infor. and Comm. Tech., Universiti Tunku Abdul Rahman (Kampar), Malaysia

  • Venue:
  • ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
  • Year:
  • 2012

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Abstract

This paper presents a non-heuristic and control parameter independent dominant point detection method. It is based on the suppression of break points and provides a more balanced performance than the recent break point suppression methods. It is made non-heuristic using an analytical error bound for digitizing a line segment. It provides a good combination of compression ratio and error metrics by avoiding both over-fitting and under-fitting.