Scale Adaptive Complexity Measure of 2D Shapes

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18th International Conference on Pattern Recognition (ICPR'06) Volume 2

Hong Kong

August 20-August 24

ISBN: 0-7695-2521-0

	ASCII Text	x
	H. Su, A. Bouridane, D. Crookes, "Scale Adaptive Complexity Measure of 2D Shapes," Pattern Recognition, International Conference on, vol. 2, pp. 134-137, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.1024, author = {H. Su and A. Bouridane and D. Crookes}, title = {Scale Adaptive Complexity Measure of 2D Shapes}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2006}, issn = {1051-4651}, pages = {134-137}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1024}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Scale Adaptive Complexity Measure of 2D Shapes SN - 1051-4651 SP134 EP137 A1 - H. Su, A1 - A. Bouridane, A1 - D. Crookes, PY - 2006 KW - 2D Shapes KW - Complexity measure KW - Scale adaptive KW - Shoeprint images. VL - 2 JA - Pattern Recognition, International Conference on ER -

H. Su, School of Computer Science Queen?s University Belfast Belfst, UK

A. Bouridane, School of Computer Science Queen?s University Belfast Belfst, UK

D. Crookes, School of Computer Science Queen?s University Belfast Belfst, UK

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1024

In this paper, we describe a complexity (or irregularity) measure of 2D shapes. Three properties are first calculated to separately describe the complexity of the boundary, the global structure, and the symmetry of the shape. Then, a model consisting of the above parameters are developed to describe the entire complexity of the shape. This model further incorporates the scale information into the boundary complexity definition and also into the determination of weights associated with different properties. Finally, we test our complexity model on a synthetic dataset, and demonstrate its application on screening shapes extracted from noisy shoeprint images.

Index Terms:

2D Shapes, Complexity measure, Scale adaptive, Shoeprint images.

Citation:

H. Su, A. Bouridane, D. Crookes, "Scale Adaptive Complexity Measure of 2D Shapes," icpr, vol. 2, pp.134-137, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006

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