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 hinarization. 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.
median filteringgradient sharpeningedge detectionconnected component labelingpixel error
国家科技期刊平台
NSTL
万方数据
维普
