Application of Pseudo-color Image Feature-Level Fusion in Nondestructive Testing of Wire Ropes
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TECHNICAL ARTICLE—PEER-REVIEWED
Application of Pseudo-color Image Feature-Level Fusion in Nondestructive Testing of Wire Ropes Juwei Zhang . Shiliang Lu . Jinbao Chen
Submitted: 16 April 2020 Ó ASM International 2020
Abstract Among the many nondestructive testing methods of ferromagnetic materials, magnetic flux leakage (MFL) testing is a very mature technology. Due to the single source of target information in traditional MFL detection technology, the recognition accuracy is low. Infrared image is a color artificially given, so it is also a pseudo-color image. We use the feature-level image fusion technology to fuse color infrared images and pseudo-color MFL images and quantitatively identify the defect feature vectors after fusion. A wavelet noise reduction algorithm is used to perform noise reduction processing on the MFL signal and used the pseudo-color transform method to convert the noise-reduced MFL signal into a pseudo-color image. For the collected infrared images of the wire rope, we use an image segmentation algorithm to extract the defective parts. The color moments and texture features of the pseudo-color MFL defect image and the color infrared defect image are extracted for feature-level fusion and trained as the input of the nearest neighbor algorithm. The final experimental results prove that the fusion of the two
J. Zhang (&) S. Lu College of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, China e-mail: [email protected] S. Lu e-mail: [email protected] J. Zhang S. Lu Power Electronics Device and System Engineering Laboratory of Henan, Henan University of Science and Technology, Luoyang 471023, China J. Chen College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210026, China
images information has achieved good results and the defect recognition rate has been improved. Keywords Nondestructive testing Magnetic flux leakage Pseudo-color transform Infrared image Feature-level fusion Quantitative identification
Introduction Because of its many advantages, steel wire ropes are used in many important areas of the world today. In military equipment, such as aircraft carriers and warships; in civilian equipment, such as cable cars and miners, all these large pieces of equipment are inseparable from the help of wire ropes. With high load and long-term use, rust, abrasion and distortion will inevitably occur on the wire rope. If these conditions are not taken seriously, it will eventually develop into broken wires and may eventually cause the entire rope to break. If the defects of the wire rope cannot be found in time and accurately, it will cause extremely serious consequences. Early detection methods of wire ropes are generally artificial vision methods and regular replacement methods. However, the artificial visual method is inefficient, slow and labor-intensive, and the effect is extremely unsatisfactory in the presence of oil and impurities. The method of regularly replacing the steel wire r
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