• DocumentCode
    2375152
  • Title

    Suboptimal optimization method for dominant point detection

  • Author

    Oral, L. ; Ozkan, K.

  • Author_Institution
    Golhisar Meslek Yuksek Okulu, Mehmet Akif Ersoy Univ., Burdur, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Contour polygonal approximation is usually defined as a set of selected dominant points, which describes a polygon and best represents the original contour. This paper presents a novel algorithm for dominant point detection via suboptimal optimization method. The proposed algorithm does not require an input parameter The experimental results show that this method is efficient, effective, reduces the number of dominant points as compared to other proposed methods.
  • Keywords
    approximation theory; edge detection; optimisation; contour polygonal approximation; dominant point detection; suboptimal optimization method; Algorithm design and analysis; Approximation algorithms; Approximation methods; Art; Optimization methods; Pattern recognition; Dominant point; polygonal approximation; suboptimal optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531295
  • Filename
    6531295