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Zhang Jijun Meng Xiangqing

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.

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Section
Miscellanea

How to Cite

Jijun, Z. and Xiangqing, M. (2015) “Defect detection of wire rope for oil well based on adaptive angle”, Frattura ed Integrità Strutturale, 9(34). doi: 10.3221/IGF-ESIS.34.65.

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