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
Link To Document :
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