Research on Intelligent Classification System of Ceramic Tiles Based on Machine Vision

Shi Long Li; Yao Chen

doi:10.4028/www.scientific.net/AMM.101-102.648

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 101-102Research on Intelligent Classification System of...

Research on Intelligent Classification System of Ceramic Tiles Based on Machine Vision

Abstract:

An intelligent classification system of ceramic tiles is introduced in the light of the theory about multi-sensor information fusion. The system includes image acquisition, image processing and intelligent classification of ceramic tiles. The color features and shape features of tile image are synthetically processed using BP neural network. The topological structure of the neural network based on “681” structure is proposed in the system. The numerical calculation and simulation about classification of ceramic tiles is carried out based on MATLAB software. The results show this algorithm is fast and accurate, which can effectively accomplish the classification of comprehensive detection of ceramic tiles.

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Periodical:

Applied Mechanics and Materials (Volumes 101-102)

Pages:

648-651

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.101-102.648

Citation:

Cite this paper

Online since:

September 2011

Authors:

Shi Long Li, Yao Chen

Keywords:

BP Neural Network (BPNN), Ceramic Tiles, Classification, Machine Vision

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References

[1] W. Liu and W.S. Ding: Microelectronics & Computer, Vol. 24 (2007) No. 1, pp.55-58.

Google Scholar

[2] Z.M. Dai, Z.P. Xu and D.M. Yu: China Ceramic Industry, Vol. 9 (2002) No. 4, pp.33-36.

Google Scholar

[3] X.D. Xing, J.H. Han and H.C. Wang: Journal of Zibo University (Nat. Sci. and Eng. ), Vol. 3 (2001) No. 4, pp.60-62 (in Chinese).

Google Scholar

[4] Y.J. Zhang: Image Engineering (Tsinghua University Press, China 2006).

Google Scholar

[5] H.J. Gao, Y.R. Du: Electronic Engineer, Vol. 30 (2004) No. 8, pp.35-36 (in Chinese).

Google Scholar

[6] Amuguleng, Y.L. Bai, M.Z. Bai, M. Li: Journal of Inner Mongolia Agricultural University (Natural Science Edition), Vol. 28 (2007) No. 2, pp.193-196 (in Chinese).

Google Scholar

[7] Y.S. Wang, S. Fu and J.Q. Xu: J. Experimental Mechanics, Vol. 21 (2006) No. 2, pp.201-206.

Google Scholar

[8] W. Luo and J. Liu: Journal of Huazhong University of Science and Technology (Nature Science), Vol. 29 (2001) No. 3, pp.79-81 (in Chinese).

Google Scholar

[9] B. Costas, D.N. Francesco and D.T. Giovanni: Journal of Materials Processing Technology, Vol. 82 (1998), pp.179-188.

Google Scholar