scholarly journals Research on Surface Fatigue Crack Image Recognition Detection Method Based on Computer Vision Technology

Author(s):  
Xuepeng Huang ◽  
Xiaohui Chen
2014 ◽  
Vol 701-702 ◽  
pp. 565-568
Author(s):  
Hao Ren ◽  
Jie Sun ◽  
Yue Feng Li

This paper proposed a welding quality detection method with the computer vision technology for PCB of IC chip. This method is better than the normal one by human examines in the precision and in speed. It is suitable for welding quality automatic detection in the printing process of the SMT solder paste for IC chips mount on PCB board. This method is implemented in lab. Theoretical analysis and experimental results show that the accuracy of this method is high; the capture error is small and is easy to operate.


1994 ◽  
Vol 43 (494) ◽  
pp. 1475-1481
Author(s):  
Atsushi SUGETA ◽  
Masahiro JONO ◽  
Satoshi YOSHIMURA

1993 ◽  
Vol 42 (481) ◽  
pp. 1231-1237 ◽  
Author(s):  
Akira ISHII ◽  
Vakhtang LACHKHIA ◽  
Yasuo OCHI ◽  
Tsutomu AKITOMO

2013 ◽  
Vol 2013 (0) ◽  
pp. _OS1528-1_-_OS1528-3_
Author(s):  
Yuki ITABAYASHI ◽  
Ryu ODAWARA ◽  
Goro MATSUI ◽  
Shigeo AOKI ◽  
Yoshio FUKUDA

1999 ◽  
Author(s):  
Jaime A. Estupiñán ◽  
Donald L. Bartel ◽  
Timothy M. Wright

Abstract A simulation of surface fatigue damage to ultra-high molecular weight polyethylene (UHMWPE) components in total knee replacement is presented. Results of simulations of surface fatigue crack propagation were consistent with observed clinical damage. Extensions of these analyses to incorporate a more realistic description of the constitutive and fracture behavior of UHMWPE and three dimensional geometry are discussed.


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