Title :
A machine vision system for inspecting bearing-diameter
Author_Institution :
Dept. of Mech. Eng., Jiangsu Teachers Coll. of Technol., Changzhou, China
Abstract :
Aimed at traditional problems such as low-efficiency, too much man-made factor and unable to realize online, real-time or noncontact measure in the inspecting inner and outer diameter of bearing, a machine vision system for inspecting inner and outer diameter of bearing is developed. The system setup and inspecting principle are introduced. Moreover, filtering two times is introduced in image preprocessing, based on which, four detection operator are compared and studied, to make the extraction of image edge-detection better. The presented results show that the proposed machine vision inspection system allows accurate and robust 100% inspection of bearing-diameter and as such it may be a valuable tool for ensuring high-end-product quality, thus has a expansive application foreground.
Keywords :
CCD image sensors; computer vision; edge detection; filtering theory; inspection; machine bearings; CCD image sensors; bearing inner diameter inspection; bearing outer diameter inspection; filtering theory; image edge detection operator; image edge extraction; image preprocessing; machine vision inspection system; noncontact measurement; product quality; Auditory system; Belts; Charge coupled devices; Image edge detection; Inspection; Lighting; Machine vision; Mechanical variables measurement; Motor drives; Signal processing;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342226
