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1、M0k&-&$530/*$5&45+VO/P24B4|HZE(中北大学理学院，山西太原，030051）K1 在对图像进行边缘提取时，水平和垂直的边缘一般通过简单的Soble算子就能够提取出它的单像素边缘，但是对于倾斜的或其他形状的边缘用简单的Sobel算法就很难提取出它的单像素边缘。本文提出了一种基于新的Soble算子改进算法来提取倾斜一定角度的单像素边缘。首先，通过引入衰减因子对原灰度图像进行处理，先后利用8个模板的Sobel算子得到一个边缘图，然后利用统计学的方法，统计边缘图像每一行的灰度最大值，最大值所在的位置就是单像素的位置。通过实验验证，利用本文的算法能够将倾斜一定角度的边缘提取出其
2、单像素点。1oM 单像素边缘；Sobel算子；衰减因子；边缘检测ms| TP301.6 DSM AMethod for extraction of the edge of single-pixel5BO;IFOZV(School of Science, North University of China, Taiyuan,Shanxi,030051)Abstract: Generally, through a simple soble operator,horizontal and vertical edges will be able to extract a single pixel, b
3、ut the tilt or other shapes for the edge with the soble operator it is difficult to extract a single pixel edge, this paper presents a kinds of soble operator based on the new improved algorithm to extract the tilt angle to the edge of a single pixel. First of all, by introducing the attenuation fac
4、tor on the original gray-scale image processing, has the use of 8 templates soble edge operator to get a map, and then, using statistical methods, statistical edge image of each line of gray max, maximum is located location is the single-pixel location. Experimental results show that using this algo
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