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