DocumentCode :
1944251
Title :
The study of gear Parameter Measurement method based on machine vision
Author :
Chen, Mianzhou ; Li, Yuping
Author_Institution :
Sch. of Mech. & Electr. Eng., Huangshi Inst. of Technol., Huangshi, China
fYear :
2010
fDate :
13-15 Aug. 2010
Firstpage :
248
Lastpage :
251
Abstract :
In this paper, gear parameters are measured with the machine vision technology, firstly, gear edge is extracted from the gear image using image processing method, secondly, the gear center is set in gear edge image with random Hough transform, four basic gear geometry parameters are identified by their measurement algorithm. And compare with the measured values by the traditional measurement method, the results show that the accuracy of this method can meet the requirements of gear Parameter Measurement.
Keywords :
Hough transforms; computer vision; edge detection; gears; mechanical engineering computing; mechanical variables measurement; random processes; edge extraction; gear center; gear geometry parameter; gear image; gear parameter measurement; image processing; machine vision; measurement algorithm; random Hough transform; Filtering; Gears; Image edge detection; Machine vision; Measurement uncertainty; Pixel; Teeth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
Type :
conf
DOI :
10.1109/ICICIP.2010.5564274
Filename :
5564274
Link To Document :
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