中文摘要：

为合理选择小波变换尺度，解决抑制噪声和边缘定位之间的矛盾，提出了一种基于局部熵的自适应尺度选择方法，采用局部熵预处理图像，根据熵值大小自适应地选择小波变换的尺度，各区域分别按照相应的尺度进行小波变换检测图像边缘。实验结果表明，此方法比基于均方差的小波自适应算法检测到的边缘更清晰，定位更准确。

英文摘要：

In order to solve the problem between suppressing noise and accuracy of the edge, this paper gave a self-adaptable scale selection method with local entropy. It adopted the local entropy which could divide image precisely to preproeess the im- age. The self-adaptable method of wavelet transform selected the scale of each region. Each region used corresponding scale of wavelet transform to get image edge. Experimental results show that the proposed method provides clearer and more accurate edges than wavelet transform self-adaptable arithmetic based on mean square deviation.