Detection of welding cavity defects in x-ray images based on digital image processing technology

Hong-lei Ran; Jian-li Dong; Kui Zhang; Shan-bin Xi; Jie Huang; Hao Peng

doi:10.1117/12.2656614

20 October 2022 Detection of welding cavity defects in x-ray images based on digital image processing technology

Hong-lei Ran, Jian-li Dong, Kui Zhang, Shan-bin Xi, Jie Huang, Hao Peng

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511K (2022) https://doi.org/10.1117/12.2656614
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Aiming at the disadvantages of traditional manual identification method of chip welding cavity X-ray inspection, such as high technical threshold, strong subjectivity of inspection results and long inspection time, an automatic identification method based on digital image processing is proposed in this paper. Through histogram equalization, denoising, image enhancement and threshold segmentation on X-ray images containing welding cavity defects, welding cavity defects can be identified quickly and accurately, and the welding cavity rate of products can be calculated, which improves the efficiency and accuracy of inspection test.

Citation Download Citation

Hong-lei Ran, Jian-li Dong, Kui Zhang, Shan-bin Xi, Jie Huang, and Hao Peng "Detection of welding cavity defects in x-ray images based on digital image processing technology", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511K (20 October 2022); https://doi.org/10.1117/12.2656614

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