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Russian Journal of Nondestructive Testing

Erschienen in:

01.11.2021 | THERMAL METHODS

Infrared Image Segmentation Algorithm Based on Multi Structure Morphology—Pulse Coupled Neural Network in Application to the Inspection of Aerospace Materials

verfasst von: Chiwu Bu, Tao Liu, Rui Li, Bo Zhao, Qingju Tang

Erschienen in: Russian Journal of Nondestructive Testing | Ausgabe 11/2021

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Abstract

Infrared images of aerospace materials were collected by infrared camera and analyzed to evaluate debonding defects. However, it is difficult to identify the defects effectively because of a considerable background noise, low contrast and fuzzy edge in the images. The MSM-PCNN algorithm is developed to segment infrared images and extract defect features. The infrared images of TBCs, CFRP and Al-HP samples with debonding defects were selected to be segmented by the PSO, RG and MSM-PCNN algorithm, and PSNR, SSIM, MSE and MAE were selected as image quality evaluation criteria. It is shown that the MSM-PCNN algorithm keeps more details about defects to be detected on a noisy background.

Vorheriger Artikel Quantitative Nondestructive Testing of Steel Wire Rope Based on Optimized Support Vector Machine

Nächster Artikel Enhanced Subsurface Analysis Using Proper Orthogonal Decomposition in Nonstationary Thermal Wave Imaging

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Qingju Tang, Jingmin Dai, Chiwu Bu, Litao Qi, and Dayong Li, Experimental study on debonding defects detection in thermal barrier coating structure using infrared lock in thermographic technique, Appl. Therm. Eng., 2016, vol. 107, pp. 463–468.CrossRef

Numan Saeed, Nelson King, Zafar Said, and Mohammed A. Omar, Automatic defects detection in CFRP thermograms, using convolutional neural networks and transfer learning, Infrared Phys. Technol., 2019, vol. 102, p. 103048CrossRef

Fei Wang, Yong-Hui Wang, Jun yan Liu, and Yang Wang, Theoretical and experimental study on carbon/epoxy facings aluminum honeycomb sandwich structure using lock in thermography, Measurement, 2018, vol. 126, pp. 110–119.CrossRef

Pawar, S.S., and Vavilov, V.P., Applying the heat conduction based 3D normalization and thermal tomography to pulsed infrared thermography for defect characterization in composite materials, Int. J. Heat Mass Transf., 2016, vol. 94, pp. 56–65.CrossRef

Manohar, A. and di Scalea, F.L., Modeling 3D heat flow interaction with defects in composite materials for infrared thermography, NDT & E Int., 2014, vol. 66, pp. 1–7.CrossRef

Marani, R., Palumbo, D., Galietti, U., Stella, E., and D’Orazio, T., Enhancing defects characterization in pulsed thermography by noise reduction, NDT & E Int., 2019, vol. 102, pp. 226–233.CrossRef

Grosso, M., Lopez, J.E.C., Silva, V.M.A., Soares, S.D., Rebello, J.M.A., and Pereira, G.R., Pulsed thermography inspection of adhesive Composite joints: computational simulation model and experimental validation, Compos. B Eng., 2016, vol. 106, pp. 1–9.CrossRef

Yangyang Li, Licheng Jiao, Ronghua Shang, and Rustam Stolkin, Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation, Inf. Sci., 2015, vol. 294, pp. 408–422.CrossRef

Swita, R. and Suszyński, Z., Cluster Segmentation of Thermal Image Sequences Using kd-Tree Structure, Int. J. Thermophys., 2014, vol. 35, no. 12, pp. 2374–2387.CrossRef

10.

Ahmed Mahgoub, Ahmed Talab, Zhangcan Huang, Fan Xi, and Liu Hai Ming, Detection crack in image using Otsu method and multiple filtering in image processing techniques, Optik, 2016, vol. 127, no. 3, pp. 1030–1033.CrossRef

11.

Leiming Liu, Yang, N., Lan, J., and Juanjuan, L., Image segmentation based on gray stretch and threshold algorithm, Optik, 2015, vol. 126, no. 6, pp. 626–629.CrossRef

12.

Xiangzhi Bai, Zhiguo Chen, Yu Zhang, Zhaoying Liu, and Yi Lu, Infrared Ship Target Segmentation Based on Spatial Information Improved FCM, IEEE Trans. Cybern, 2016, vol. 46, pp. 3259–3271.CrossRef

13.

Qingju Tang, Shuaishuai Gao, Yongjie Liu, and Fengyun Yu, Infrared image segmentation algorithm for defect detection based on FODPSO, Infrared Phys. Technol., 2019, vol. 102, p. 103051.CrossRef

14.

Xinzheng Xu, Tianming Liang, Guanying Wang, Maxin Wang, and Xuesong Wang, Self-Adaptive PCNN Based on the ACO Algorithm and its Application on Medical Image Segmentation, Intell. Autom. Soft Comput., 2017, vol. 23, no. 2, pp. 303–310.CrossRef

15.

Ya’nan Guo, Zhen Yang, Yide Ma, Jing Lian, and Lili Zhu, Saliency Motivated Improved Simplified PCNN Model for object Segmentation, Neurocomputing, 2018, vol. 275, no. 2, pp. 2179–2190.CrossRef

16.

Dongguo Zhou, Dongguo Zhou, and Ming ChMing Chi,i, Pulse-coupled neural network and its optimization for segmentation of electrical faults with infrared thermography, Appl. Soft Comput., 2019, vol. 77, pp. 252–260.CrossRef

17.

Jianqi Li, Jiang Zhu, Fangyan Nie, Binfang Cao, and Lijuan Huang, Research on Selective filtering and PCNN for Nickel Foam Surface Defect Segmentation, IFAC–PapersOnLine, 2018, vol. 51, no. 21, pp. 135–140.

18.

Kun Zhan, Jinhui Shi, Haibo Wang, Yuange Xie, and Qiaoqiao Li, Computational mechanisms of pulse-coupled neural networks: A comprehensive review, Arch. Comput. Methods Eng., 2017, vol. 24, no. 3, pp. 573–588.CrossRef

19.

Jungang Yin, Yipeng Lu, Zhengxiong Gong, Yuechun Jiang, and Jiangang Yao, Edge detection of high-voltage porcelain insulators in infrared image using dual parity morphological gradients, IEEE Access, 2019, pp. 32728–32734.

20.

Priya Ranjan Muduli and Umesh Chandra Pati, A novel technique for wall crack detection using image fusion, 2013 Int. Conf. Comput. Commun. Inf., 2013.

Titel: Infrared Image Segmentation Algorithm Based on Multi Structure Morphology—Pulse Coupled Neural Network in Application to the Inspection of Aerospace Materials
verfasst von: Chiwu Bu
Tao Liu
Rui Li
Bo Zhao
Qingju Tang
Publikationsdatum: 01.11.2021
Verlag: Pleiades Publishing
Erschienen in: Russian Journal of Nondestructive Testing / Ausgabe 11/2021
Print ISSN: 1061-8309
Elektronische ISSN: 1608-3385
DOI: https://doi.org/10.1134/S1061830921110061

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