融合Canny边缘检测技术的SAR图像改进滤波方法

Improved SAR image denoising algorithm of fusing Canny edge extraction technology

5×5窗口的增强型Lee滤波方法能够有效抑制相干斑噪声,但边缘细节等纹理信息损失严重。针对增强型Lee滤波方法的这一缺点,结合边缘提取技术,提出改进的滤波方法。该算法首先对图像进行5×5窗口增强型Lee滤波处理,然后对图像使用Canny算子进行边缘纹理信息提取,最后将增强型Lee滤波后图像的边缘和纹理区域的像元值用边缘提取技术得到的结果进行取代。通过利用均值滤波、Lee滤波及其增强型、Kuan滤波及其增强型、Gamma MAP滤波和改进方法对SAR图像进行处理,得到改进的滤波方法在克服相干斑抑制和边缘保持这一对矛盾上是有效的。

Enhanced Lee filtering method with 5×5 window can effectively suppress speckle noise,but the edge details and texture information loss seriously.Against the shortcoming of the enhanced Lee filter,according to the characteristic of the edge extraction,a new algorithm was proposed,which fuses the enhanced Lee filter and the edge extraction technology.In this algorithm,first the image was filtered using the enhanced Lee filter with 5×5 window.Then the edge and texture information of the image can be obtained through the Canny edge extraction technology.At last the pixel values of the edge and texture area of the filtered image are replaced by the result of the edge extraction.Experimental data quantitative shows that the improved filtering method can overcome the contradiction between the speckle suppressing and the edge preserving.