Affiliation:
1. Politecnico Di Milano, Department of Mechanical Engineering , Milan , Italy
Abstract
Abstract
The Friction Stir Welding process usually produces weld members of good quality compared to composite weld made with a standard welding process. However, there is a possibility of the formation of various defects if the input parameters are not properly selected. In the recent case study, an image-based feature recognition system using the Fourier conversion method which is a computer visual recognition tool is developed. Five types of filters like Ideal Filter, Butterworth Filter, Low Filter, Gaussian Filter, and High Pass Filter. The results showed that the high pass filter has more ability to detect surface defects compared to the other four filters. It has also been observed that the Ideal filter has a lot of distortions compared to the Gaussian Filter and the Butterworth Filter.
Reference15 articles.
1. [1] Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J. and Wojna, Z. “Rethinking the inception architecture for computer vision”, In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2818 – 2826, 2016.
2. [2] Parker, J. R. “Algorithms for image processing and computer vision”, John Wiley & Sons, 2010.
3. [3] Granlund, G. H. and Knutsson, H. “Signal processing for computer vision”, Springer Science & Business Media, 2013.
4. [4] Forsyth, D. A., Ponce, J. “Computer vision: a modern approach”, Prentice Hall Professional Technical Reference, 2002.
5. [5] Kruger, N., Janssen, P., Kalkan, S., Lappe, M., Leonardis, A., Piater, J., Rodriguez-Sanchez, A. J., Wiskott, L. “Deep hierarchies in the primate visual cortex: What can we learn for computer vision?”, IEEE transactions on pattern analysis and machine intelligence 35 (8), pp. 1847 – 1871, 2012.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献