DUAN Zhong-xing, ZHOU Jian, CHEN Sheng, et al. Study of factors affecting automatic identification performance of cracks in tunnel[J]. 2016, 35(10): 60-62+66.
DUAN Zhong-xing, ZHOU Jian, CHEN Sheng, et al. Study of factors affecting automatic identification performance of cracks in tunnel[J]. 2016, 35(10): 60-62+66. DOI: 10.13873/J.1000-9787(2016)10-0060-03.
design a device based on CMOS sensor to automatically identify cracks in tunnel test. Crack image gray value distribution is regarded as an important indicator for automatic recognition. Analyze effective pixels
testing effect of distance
light intensity and other factors on automatic detection performance. Simulation results show that the effective pixel and detection distance have little effect on features of image distribution. Effective pixels is increased
detecting distance is reduced
corresponding detecting performance is increased; light intensity not only has great impact on fracture image gray distribution feature
but also has a significant impact on automatic detection performance
too high or too low light intensity will affect detecting performance.