Defect detection of wire rope for oil well based on adaptive angle
Journal Title: Frattura ed Integrità Strutturale - Year 2015, Vol 9, Issue 34
Abstract
This paper uses a digital image processing method which is based on texture feature of steel cable to detect the fracture of steel wire. At first, it uses a modified homomorphic filtering method to eliminate environment heterogeneous shining. Next, it obtains the body image of the steel line by using the method of edge detecting and section counting filtering to detect the bunch part of steel wire. By using an improved Radon transformation method to indicate if those steel wire are in good condition or not. Finally, by using BP neural network model it aims to judge the final result. Test result shows that this method is easy to use and fulfill real time request.
Authors and Affiliations
Zhang Jijun, Meng Xiangqing
Keywords
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- EP ID EP117577
- DOI 10.3221/IGF-ESIS.34.65
- Views 72
- Downloads 0
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