DocumentCode :
1567251
Title :
Detection of dominant points based on noise suppression and error minimisation
Author :
Shearer, Mathew ; Zou, Ju Jia
Author_Institution :
Sch. of Eng. & Ind. Design, Western Sydney Univ., NSW, Australia
Volume :
1
fYear :
2005
Firstpage :
772
Abstract :
Approximation of contours has been shown to be reliant upon accurate determination of the region of support. In this paper, it is proposed that an adaptive approach will provide improved results and better shape representation. Local optimisation of chords along with desensitising the arc-chord measure to small perturbations is used. Experiment results show that the proposed method is superior to existing methods.
Keywords :
minimisation; pattern recognition; arc-chord measure; contour approximation; dominant point detection; error minimisation; local optimisation; noise suppression; shape representation; Approximation algorithms; Australia; Design engineering; Feature extraction; Humans; Joining processes; Noise measurement; Noise robustness; Pattern recognition; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Print_ISBN :
0-7695-2316-1
Type :
conf
DOI :
10.1109/ICITA.2005.115
Filename :
1488905
Link To Document :
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