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Tensor Based Image Edge Detection and Filtration
基于张量的图象边缘检测及滤波

Keywords: Curve coordinate system,Laplacian operator,Edge detection,Diffusion equation,Image filtration
曲线坐标系
,Laplacian算子,边缘检测,扩散方程,图象滤波,数字图象处理,计算机视觉,张量

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Abstract:

This paper put forward a method of image edge detection and filtration on the curve coordinate system by the use of operator on the curve coordinate system.Edge detection is a important process in image processing, currently the popular method firstly to be used is the Laplacian operator on the Cartesian coordinate system, then the zero-crossing of the Laplacian operator can be found as edge point; image filtration is the convolution result of the differential operator on the Cartesian coordinate system too. It is not fit to deal with many images painted on surfaces such as cylindrical map image, spherical map image,digital effects for motion pictures and medical regime on three dimensional scans of organs. We make use of the differential operator on the curve coordinate system for processing images on surfaces. The practical numerical experiment results showed that differential operator on the curve coordinate system is capability for processing images on surfaces.

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