基于Marr边缘检测算子，以高斯函数的一险峰2阶导数作为小波，提出具有2个可变参数的多尺度图象边缘检测方法。本文所提出的多尺度边缘检测方法适应于计算机视觉分级识别中边缘检测的需求。

On the basis of the Marr edge detection method and the selection of the first and second order derivative of the Gaussian function as the wavelet, we proposed a method of multiscale edge detection that uses two variable parametes. The grade of the wavelet decomposition can be regarded as the control parameter for the viewing distance, and the standard deviation R of the Gaussian function co rresponds to the degree of the details of the detected edges. This method is suitable for the searching strategy about the“Pre attention”and the“Post attention”in active computer vision.