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Detection of Dominant Points Based on Noise Suppression and Error Minimisation
Sydney, Australia July 04-July 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICITA.2005.115Third International Conference on Inf ...
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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
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