An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity measure, which models the image edges as charged elements in order to generate a field of attraction over similarly shaped objects. Experimental results and comparisons demonstrate that WEPF enhances the properties of EPF and outperforms traditional similarity metrics in shape matching applications, in particular in the presence of noise and clutter. © Springer-Verlag Berlin Heidelberg 2005.
Efficient shape matching using weighted edge potential functions
Dao, Minh Son;Massa, Andrea;De Natale, Francesco
2005-01-01
Abstract
An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity measure, which models the image edges as charged elements in order to generate a field of attraction over similarly shaped objects. Experimental results and comparisons demonstrate that WEPF enhances the properties of EPF and outperforms traditional similarity metrics in shape matching applications, in particular in the presence of noise and clutter. © Springer-Verlag Berlin Heidelberg 2005.File in questo prodotto:
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