Title :
The Measurement of Abrasive Wear Based on Computer Vision
Author :
Zhang, Xiaofeng ; Wan, Bin ; Zeng, Jiexian
Author_Institution :
Sch. of Comput., Nanchang Hangkong Univ., Nanchang, China
Abstract :
To measure the height and wear of the diamond abrasive, a new technique based on computer vision is presented in this paper. Firstly, the computer vision system is designed. The height evaluation of abrasives and the calibration of the imaging set-up are introduced in detail. Secondly, we adopt the sequential similarity detection algorithm to get corresponding pixels in the left and right image. Finally, the heights and wear of the grain are obtained by calculating their parallax on left and right images. The experiment of standard block shows that the relative error is less than 5%.
Keywords :
abrasion; computer vision; mechanical engineering computing; abrasive wear measurement; computer vision; diamond abrasive; sequential similarity detection algorithm; Abrasives; Calibration; Cameras; Computer vision; Electronic commerce; Measurement standards; Microscopy; Pixel; Stereo vision; Wheels; computer vision; height; monolayer grinding wheel; wear;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.204