loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Third International Conference on Information Technology and Applications (ICITA'05) Volume 1
Detection of Dominant Points Based on Noise Suppression and Error Minimisation
Sydney, Australia
July 04-July 07
ISBN: 0-7695-2316-1
Mathew Shearer, University of Western Sydney
Ju Jia Zou, University of Western Sydney
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.
Citation:
Mathew Shearer, Ju Jia Zou, "Detection of Dominant Points Based on Noise Suppression and Error Minimisation," icita, vol. 1, pp.772-775, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005
Usage of this product signifies your acceptance of the Terms of Use.