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