DocumentCode :
2500284
Title :
Automatic measurement of the mechanical part based on binocular stereo vision
Author :
Guo, Jin ; Liu, Xianyong ; Chen, Xiaoning
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
8487
Lastpage :
8491
Abstract :
Based on binocular stereo vision, a method which can automatically measure the distance between two holes on the mechanical part was proposed in order to improve the precision of the traditional measurement. Binocular vision sensor was calibrated; the edge of mechanical part was measured by using canny operator, the region of the hole was recognised by the function, the targets center was detected by using least square fitting method; the automatic stereo matching between two images was come true by the epipolar-slope constraint; the 3D coordinate of each hole was reconstructed and the distance was calculated. The experimental results proves that the measurement of the distance is high accurate, the system error is less than 0.06 mm, which can reach the requirement of online measurement precision.
Keywords :
computerised instrumentation; distance measurement; image matching; image sensors; least squares approximations; stereo image processing; automatic stereo matching; binocular stereo vision; binocular vision sensor; canny operator; epipolar-slope constraint; least square fitting method; mechanical part automatic measurement; Coordinate measuring machines; Image edge detection; Image recognition; Image sensors; Least squares methods; Mechanical sensors; Mechanical variables measurement; Stereo image processing; Stereo vision; Target recognition; binocular stereo vision; calibration; canny; epipolar-slope; least square fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594260
Filename :
4594260
Link To Document :
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