Journal of Jilin University Science Edition

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Method of High Temperature Structure Measurement Based onCanny Edge Detection and Hough Transformation Algorithm

YU Helong, LIU Haoyang, SU Hengqiang, WANG Zenghui   

  1. College of Information Technology, Jilin Agricultural University, Changchun 130118, China
  • Received:2013-12-07 Online:2014-05-26 Published:2014-08-27
  • Contact: YU Helong E-mail:yuhelong@aliyun.com

Abstract:

According to the actual engineering requirements, the feature detection technology for image edge in image processing was applied to structure measurement at a high temperature. The hightemperature structural measurement method based on Canny edge detection and Hough transform algorithm was proposed. Based on the edge detection and extraction, the specimen structure is measured, which takes the form of piecewise linear representation. Then the width of the structure is obtained and it is converted into a mechanical performance parameter. This method takes advantages of image processing technology and needs low measurement conditions and has a good environmental adaptability. In addition, it adopts the optimization design of segment detection, with a high accuracy and good stability.

Key words: artificial intelligence, structural measurement, Hough transformation; Canny edge detection, segmented detection

CLC Number: 

  • TP18