Using improved sub-pixel edge detecting algorithm based on the expectation of first-order derivatives, we can fast and precisely detect the edge position.
应用改进后的基于一阶微分期望值的亚像素边缘检测算法，可以快速、精确地检测到边缘的位置。
Based on different properties of the coefficient modulus of the signal in different scale wavelet transform, conjunction the best estimate of gradient algorithm an edge detecting method is proposed.
基于信号在不同尺度下小波变换系数模不同的变化特征，结合最优梯度估计算法提出了一种边缘检测方法。
In a word, the method of this paper is an efficient edge detection algorithm for detecting edges from noised image.
总之，该算法能有效地从噪声图像中检测出边缘。
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