文献类型：期刊文献

中文题名：用Sobel算子细化边缘

英文题名：Edge Thinning Based on Sobel Operator

作者：陆宗骐,梁诚[1];

机构：[1]华东理工大学信息学院!上海200237,华东理工大学信息学院!上海200237;

年份：2000

卷号：05A

期号：6

起止页码：516

中文期刊名：中国图象图形学报：A辑

外文期刊名：Journal of Image and Graphics

收录：CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：边缘检测;Sobel算子;边缘细化;图象分割

外文关键词：Edge detection,Sobel operator,Edge thinning

摘要：提出了一种用Ｓｏｂｅｌ算子细化边缘的新方法，通过引入衰减因子得到不失真的灰介边缘图Ｐ１，然后将灰阶边缘图Ｐ１用Ｓｏｂｅｌ算子进行正理２，得以边缘的边缘图Ｐ２，再用前者减去后者得差值图Ｐ３，再将Ｐ３中为负的点改为０，用以除去３图中边缘外侧的点，从而得取边缘产细的边缘，对于边缘模糊的部分这种过程可以重复多次，最后也可得到较细的边缘（但不一定连接），此种方法对于处理其它边缘检测方法得到的边级也有效。边缘
A new edge thinning method based on Sobel operator is proposed in this paper. A gray edge image (P1) is obtained by introduces a attenuation factor,the gray edge image can also be processed using Sobel operator,then another gray edge image (P2) is get from the previous gray edge image. Another gray edge image(P3) is obtained by subtracting P2 from P1 and the pixels of negative value in P3 are set to zero to eliminate the extra points on both side of the detected edges therefor a image with thinner edge can be obtained. And this procedure can repeat several times to obtain thinner edges(but not necessarily continuous). This method also has effect on the edges that detected by other edge detection methods. Edge thinning can be used to get the exact position of object's edge. This method can not only get fairly thin edge but can also reserve the edges of low step change and this advantage can overcome the segmentation error that due to improperly selected threshold.