Title :
Gear tooth profile recognition system based on machine vision
Author :
Qiang, Li ; Hongbo, Yan ; Yi, Liu
Author_Institution :
Inner Mongolia Univ. of Sci. &Technol., Bao Tou, China
Abstract :
This paper presents a new type for detection of spiral bevel gears by using machine vision technology. It is a high efficiency, high precision and non-contact detection system. The concrete method is shown as follows: Cameras were calibrated with improved Tsai two-step method. Then, the two cameras in two different orientations taken gear images. After matching the two images robustly, using correspondence between image feature points and imaging geometry to solve the three-dimensional coordinates of feature points. Finally, recognize tooth profile in contrast deal tooth data.
Keywords :
computer vision; gears; image recognition; mechanical engineering computing; Tsai two-step method; cameras; gear tooth profile recognition system; high precision detection system; image feature points; imaging geometry; machine vision; noncontact detection system; spiral bevel gear detection; Cameras; Charge coupled devices; Charge-coupled image sensors; Gears; Machine vision; Paper technology; Software measurement; Spirals; Stereo vision; Teeth; gear tooth profile; machine vision; recognize; spiral bevel gear;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487175
