WANG Jian-ping, LI Jun-shan, YANG Ya-wei, et al. Ethylene gas leaking detection based on combination of multi-features of infrared imaging[J]. 2015, 34(6): 119-122.
WANG Jian-ping, LI Jun-shan, YANG Ya-wei, et al. Ethylene gas leaking detection based on combination of multi-features of infrared imaging[J]. 2015, 34(6): 119-122. DOI: 10.13873/J.1000-9787(2015)06-0119-04.
and that the leak location cannot be accurately calibrated in ethylene gas leakage detection
present a method for detecting ethylene gas leakage based on multiple features combination of infrared imaging. Firstly
Infrared image of the production workshop is obtained by the infrared camera
and the suspected area is obtained by the method of the combination of frame difference and background difference; secondly
the statistics features and the wavelet energy variation characteristics of gas leakage imaging in suspected area is analyzed to find out the feature threshold; finally
the multiple feature threshold conditions is combined together
to determine whether there is leakage. The experimental results show that this method is accurate
efficient and real-time
and the leak detection accuracy rate reaches 95. 6 %.
Nighttime fire smoke detection system based on machine vision [J] . Chao-Ching Ho,Ming-Chen Chen. International Journal of Precision Engineering and Manufacturing . 2012 (8)