Automated Vision Inspection System for Cylindrical Metallic Components

Author:

Govindaraj Krithika,Vaidya Bhargavi,Sharma Akash,Shreekanth T.

Publisher

Springer Singapore

Reference11 articles.

1. Neogi, N., Mohanta, D.K., Dutta, P.K.: Review of vision-based steel surface inspection systems. EURASIP J. Video Image Process. (2014)

2. Hashim, H.S., Abdulla, S.N.H.S., Prabuwono, A.S.: Automated visual inspection for metal parts based on morphology and fuzzy rules. In: International Conference on Computer Applications and Industrial Electronics (ICCAIE), Kuala Lumpur, Malaysia, 2010

3. Yinli, L., Hongli, Y., Pengpeng, Z.: The implementation of embedded image acquisition based on V4L2. In: International Conference on Electronics, Communications and Control (ICECC), Ningbo, China, 2011

4. Joo, Y.-B., Huh, K.M., Soek, H.C.: Robust and consistent defect size measuring method in automated vision inspection system. In: IEEE International Conference on Control and Automation, Christchurch, New Zealand, 2009. ICCA 2009

5. Al-Bayati, M.: Automatic thresholding techniques for optical images. Int. J. (SIPIJ) 4(3) (2013)

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