吉林大学学报（理学版）Issue(3)：519-524,6.DOI:10.13413/j.cnki.jdxblxb.2014.03.21
基于图像Canny边缘检测和Hough变换算法的高温结构测量方法
Method of High Temperature Structure Measurement Based on Canny Edge Detection and Hough Transformation Algorithm
摘要
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.关键词
人工智能/结构测量/Hough变换/Canny边缘检测/分段检测Key words
artificial intelligence/structural measurement/Hough transformation/Canny edge detection/segmented detection分类
信息技术与安全科学引用本文复制引用
于合龙,刘浩洋,苏恒强,王增辉..基于图像Canny边缘检测和Hough变换算法的高温结构测量方法[J].吉林大学学报（理学版）,2014,(3):519-524,6.基金项目
国家自然科学基金(批准号:11372155)和吉林省科技发展计划项目(批准号:201105068) （批准号:11372155）
