The Application Study on the Improved Canny Algorithm for Edge Detection in Strain Gauge Image

摘要：

　　In order to realize automatic cutting of strain gauge diaphragm,it is needed to detect and identify strain gauge edge.Though classic canny algorithm can detect the edge of strain gauge,it has such problems as low accuracy,being easily influenced by light,random noise.This paper proposes an improved canny algorithm,replacing Gauss filtering of classic canny algorithm with median filtering,improving gradient magnitude calculation method,and selecting threshold with iteration.Compared to classic canny algorithm the method can improve the ability to resist random noise while detecting strain gauge edge more accurately.Application of the method to strain gauge edge detection will lay foundation for realization of strain gauge automatic cutting.

作者: Qin Wei Li Juan

作者单位: Shaanxi University of Technology,School of Physics and Telecommunication Engineering,Hanzhong,Shaanx Shaanxi University of Technology,School of Electrical Engineering,Hanzhong,Shaanxi,723000,china

会议类型: 国际会议

会议名称: 2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)(2017电子信息技术与计算机工程国际会议)(EITCE2017)

会议地点: 珠海

会议语种:英文

页码: 1-5

在线出版日期: 2017-09-23（万方平台首次上网日期，不代表论文的发表时间）