DocumentCode :
3223389
Title :
Strain measuring technology based on machine vision
Author :
Jianyu Zhao ; Bingqi Lu ; Hai Shen ; Xudong Wang
Author_Institution :
Sch. of Electr. Eng., Univ. of Jinan, Jinan, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4274
Lastpage :
4278
Abstract :
Aimed at the shortage of traditional contract extensometer measuring method on the tensile test of metal material, the principle of strain measurement based on machine vision was applied to specimen with non-contact precision strain measurement in this paper. To the image preprocessed, a straight line was got by probabilistic Hough transform. Then the edge was refined by using the sub-pixel, finally, a new line was got as the target line combined with the least square linear fitting method. Afterwards, we calculated the pixel length of the target line to get the actual size of the specimen. The test results show that the method is effective, which provides the foundation to the research of high precision strain measurement technique.
Keywords :
Hough transforms; computer vision; computerised instrumentation; least squares approximations; probability; strain measurement; contract extensometer measuring method; image preprocessing; least square linear fitting method; machine vision; metal material; noncontact precision strain measurement; probabilistic Hough transform; tensile testing; Cameras; Fitting; Image edge detection; Image segmentation; Strain; Strain measurement; Transforms; Edge Detection; Hough Transform; Machine Vision; Strain Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162681
Filename :
7162681
Link To Document :
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