基于中值滤波和梯度锐化的边缘检测

实现一种基于中值滤波和梯度锐化的边缘检测方法。首先采用既能过滤噪声又能保护边缘信息的中值滤波对图像进行平滑处理。然后采用梯度锐化加强边缘像素强度,通过简单的二值化获得图像的初始边缘,系统采用连通区域标记的方法去除位于图像封闭边界内的残留黑块。最后通过实验结果与人工提取的结果比较,进行误差分析,找出本文算法的不足之处,以便对该算法进行改进。实践证明,本文的边缘检测方法对含有噪声点且灰度分布比较均匀的图像有很好的效果。

Edge Detection Based on Median Filtering and Gradient Sharpening

A method for edge detection based on median filtering and gradient sharpening is proposed.At first median filtering is used to remove the noise because it can protect the edge of the image at the same time.Secondly,gradient sharpening is employed to enhance the strength of the edge pixels,then the initial edge of the image is obtained by simple binarization.The system uses a connected component labeling method to remove the residues black block within the enclosed boundaries of the image.Finally,by comparing the results of the experiment with the manual extraction results and error analysis,the shortcoming of this algorithm is found for future work.Practice has proved that the edge detection method of this paper has a good effect to speckle images.