Defect detection of wire rope for oil well based on adaptive angle
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 us...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2015-10-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | http://www.gruppofrattura.it/pdf/rivista/numero34/numero_34_art_65.pdf |
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| Summary: | 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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| ISSN: | 1971-8993 1971-8993 |