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Ultrasonic C Image Fusion Algorithm for Diffusion Welding Based on Wavelet Transform
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[1]CHANG Qing,YANG Chengwei,LUO Binjie,et al.Ultrasonic C Image Fusion Algorithm for Diffusion Welding Based on Wavelet Transform[J].Journal of Zhengzhou University (Engineering Science),2023,44(04):54-59,87.[doi:10.13705/j.issn.1671-6833.2023.01.003]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 44卷 Number of periods: 2023 04 Page number: 54-59,87 Column: Public date: 2023-06-01
Title:
Ultrasonic C Image Fusion Algorithm for Diffusion Welding Based on Wavelet Transform
Author(s):
CHANG Qing1;  YANG Chengwei1;  LUO Binjie1;  LI Xifeng2
1.School of Information Science and Engineering, 2.East China University

Keywords:
diffusion welding;  ultrasound C scan;  wavelet transform;  guided filtering;  image fusion
CLC:
TP391
DOI:
10.13705/j.issn.1671-6833.2023.01.003
Abstract:
In order to improve the detection ability of tiny defects at the interface of diffusion welding of titanium alloys, an ultrasonic C image fusion algorithm based on wavelet transform was proposed. Firstly, the ultrasonic C image to be fused is decomposed into low-frequency and high-frequency parts by wavelet transform, and the high and low frequency coefficients are differentiated and fused according to the different characteristics of the high and low frequency coefficients, and the inverse wavelet transform is used for the fused coefficients to get the fused image. Finally, in order to improve the contrast of the image and enrich the details of the image, the improved homomorphic filter is used to enhance the fusion image, so as to obtain the fusion result image. By preparing different types of artificial defect samples for testing, and quantitatively comparing the length of defects detected by the algorithm in this paper and conventional ultrasonic C scan, the experimental results show that for small linear defects and weak bond defects, the ultrasonic C reconstructed by the algorithm in this paper can be used. The average errors of the images were 2 mm and 4. 2 mm, respectively, and the average errors of conventional ultrasound C scan was 8 mm and 9. 5 mm, respectively. Therefore, the ultrasonic C image reconstructed by the proposed algorithm in this paper can reflect the defect information more accurately.
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Last Update: 2023-07-01
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