DocumentCode :
2478831
Title :
A Multi-scale Approach to Decompose a Digital Curve into Meaningful Parts
Author :
Nguyen, Thanh Phuong ; Debled-Rennesson, Isabelle
Author_Institution :
LORIA Nancy, Vandoeuvre-lès-Nancy, France
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
1072
Lastpage :
1075
Abstract :
A multi-scale approach is proposed for polygonal representation of a digital curve by using the notion of blurred segment and a split-and-merge strategy. Its main idea is to decompose the curve into meaningful parts that are represented by detected dominant points at the appropriate scale. The method uses no threshold and can automatically decompose the curve into meaningful parts.
Keywords :
computational geometry; image representation; blurred segment notion; digital curve; dominant point detection; multiscale approach; polygonal representation; split-and-merge strategy; Approximation algorithms; Approximation methods; Chromium; Measurement uncertainty; Noise measurement; Pattern recognition; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.268
Filename :
5595858
Link To Document :
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