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Shape Recognition and Classification Based on Poisson Equation- Fourier-Mellin Moment Descriptor  

Zou, Jian-Cheng (Institute of Image Processing and Pattern Recognition, North China University of Technology)
Ke, Nan-Nan (Institute of Image Processing and Pattern Recognition, North China University of Technology)
Lu, Yan (Institute of Image Processing and Pattern Recognition, North China University of Technology)
Publication Information
International Journal of CAD/CAM / v.8, no.1, 2009 , pp. 69-72 More about this Journal
Abstract
In this paper, we present a new shape descriptor, which is named Poisson equation-Fourier-Mellin moment Descriptor. We solve the Poisson equation in the shape area, and use the solution to get feature function, which are then integrated using Fourier-Mellin moment to represent the shape. This method develops the Poisson equation-geometric moment Descriptor proposed by Lena Gorelick, and keeps both advantages of Poisson equation-geometric moment and Fourier-Mellin moment. It is proved better than Poisson equation-geometric moment Descriptor in shape recognition and classification experiments.
Keywords
Poisson equation; Fourier-Mellin moment; shape recognition; shape classification;
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