A study of hybrid polarization image fusion method for accurate defect detection

Tengduo Qiao; Xing Peng; Feng Shi

doi:10.1117/12.3046034

13 November 2024 A study of hybrid polarization image fusion method for accurate defect detection

Tengduo Qiao, Xing Peng, Feng Shi

Author Affiliations +

Proceedings Volume 13280, Advanced Optical Manufacturing Technologies and Applications 2024; and Fourth International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2024); 1328004 (2024) https://doi.org/10.1117/12.3046034
Event: Second Conference on Advanced Optical Manufacturing Technologies and Applications & Fourth Forum of Young Scientists on Advanced Optical Manufacturing, 2024, Xi'an, China

Abstract

Laser Additive Manufacturing (LAM) uses laser as an energy source to enable additive manufacturing of materials which is not limited by the structure of parts and can be used for complex structures, processing, and manufacturing of difficult and thin-walled parts while realizing the manufacture of complex metals. However, some machining defects occurs in the process of LAM would affect the quality of the parts. Thus, accurate detection and feature extraction of the defect location has become an important issue. This paper proposed a hybrid polarization image fusion method for accurate defect detection. This paper is mainly through the convolutional neural network based on the Laplace pyramid and wavelet transform. The experimental results presented that the information entropy of the proposed algorithm is higher than that of the traditional method by 30.5%, the standard deviation is increased by nearly 1 time, and the intersection of the intensity image and polarization feature is realized efficiently. Furthermore, mutual fusion can greatly improve the accuracy and integrity of the target defect detection results, and the similarity reached 80%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tengduo Qiao, Xing Peng, and Feng Shi "A study of hybrid polarization image fusion method for accurate defect detection", Proc. SPIE 13280, Advanced Optical Manufacturing Technologies and Applications 2024; and Fourth International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2024), 1328004 (13 November 2024); https://doi.org/10.1117/12.3046034

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