Top

Published in:

2019 | OriginalPaper | Chapter

Application of Deep Learning in Surface Defect Inspection of Ring Magnets

Authors : Xu Wang, Pan Cheng

Published in: Services Computing – SCC 2019

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

We present a method of inspecting surface defects of ring magnets by using deep learning technology, and the inspection system developed utilizing this method has achieved much better accuracy and speed than human inspectors in actual production environment, while such accuracy and speed are essential for such systems. The proposed method can also be used for the surface defect inspection of many other industrial products and systems.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Chatbot Assisted Marketing in Financial Service Industry

Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on featured distributions. Pattern Recogn. 29(1), 51–596 (1996)CrossRef

Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proceedings of IEEE International conference on Computer Vision and Pattern Recognition, pp. 886–893 (2005)

Asha, V., Bhajantri, N.U., Nagabhushan, P.: GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures. IJCVR 2(4), 302–313 (2011)CrossRef

Asha, V., Bhajantri, N.U., Nagabhushan, P.: Automatic detection of texture defects using texture-periodicity and gabor wavelets. In: Venugopal, K.R., Patnaik, L.M. (eds.) ICIP 2011. CCIS, vol. 157, pp. 548–553. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22786-8_69CrossRef

Russakovsky, O., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211–252 (2015)MathSciNetCrossRef

Everingham, M., Gool, L.J.V., Williams, C.K.I., Winn, J.M., Zisserman, A.: The pascal visual object classes VOC challenge. IJCV 88(2), 303–38 (2010)

Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431–3440 (2015)

Badrinarayanan, V., Kendall, A., Cipolla, R.: Segnet: A deep convolutional encoder-decoder architecture for image segmentation. arXiv:1511.00561 (2015)

Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11211, pp. 833–851. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01234-2_49CrossRef

10.

Peng, C., Zhang, X., Yu, G., Luo, G., Sun, J.: Large Kernel Matters– Improve Semantic Segmentation by Global Convolutional Network, arXiv:1703.02719

11.

Zhang, Z., Zhang, X., Peng, C., Cheng, D., Sun, J.: ExFuse: Enhancing Feature Fusion for Semantic Segmentation, arXiv:1804.03821

12.

He, T., Zhang, Z., Zhang, H., Zhang, Z., Xie, J., Li, M.: Bag of Tricks for Image Classification with Convolutional Neural Networks, arXiv:1812.01187

Title: Application of Deep Learning in Surface Defect Inspection of Ring Magnets
Authors: Xu Wang
Pan Cheng
Publisher: Springer International Publishing
Book: Services Computing – SCC 2019
Print ISBN: 978-3-030-23553-6

Electronic ISBN: 978-3-030-23554-3

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-23554-3_9

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner