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