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    一阶方向导数极值法——一种检测边缘的新方法

    METHOD USING EXTREMUM OF FIRST DIRECTIONAL DERIVATIVE——A NEW METHOD FOR EDGE DETECTION

    • 摘要: 文中通过傅里叶变换(Fouriertransform ),在频率域,通过求垂直于边缘的一阶方向导数,并检测其极值(极大或极小)点来确定边缘.同时,参考一阶方向导数的数值来排除一些非边缘点(一阶方向导数的数值为常数者,零也为常数).实验证明该方法检测边缘的准确度高,而且不用选取门限值(阈值).

       

      Abstract: In this paper, a new edge detection method——method using extremum of first directional derivative is proposed, based upon a general gradient edge model. Edge lines are extracted automatically from image, by acquiring points of extremum of first directional derivative vertical with edge line with Fourier transform in frequency domain. In detecting edges, non\|edge points are rejected using values of first directional derivatives vertical with edge line. Experiments involving both test and real image are conducted. Acquiring second directional derivative vertical with edge line is the main character of the method.

       

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