An Exploration on Image Detection of Folding Dislocations

Abstract:

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Image detection of folding dislocation deviations is explored in order to provide an application base for real-time monitoring of folding process. Various types of folding dislocations are analyzed, the extraction of corresponding corner points and edge lines of a folding dislocation is discussed, and so are some image processing techniques such as determination of the type of a folding dislocation. The image detection process is explained, and is achieved through a software program, which is custom designed in VC++ language. The image detection of folding dislocation deviations is verified, and the results show that the proposed method is feasible and computing time is short, thus it is conducive to real-time monitoring applications.

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Periodical:

Edited by:

OUYANG Yun, XU Min and YANG Li

Pages:

267-270

DOI:

10.4028/www.scientific.net/AMR.174.267

Citation:

B. Gao et al., "An Exploration on Image Detection of Folding Dislocations", Advanced Materials Research, Vol. 174, pp. 267-270, 2011

Online since:

December 2010

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$38.00

[1] Zheng Qingfang, Zeng Wei and Wang Weiqiang: International Journal of Image & Graphics Vol. 6 (2006), p.115.

[2] Guan, Y. -P.: IET Computer Vision Vol. 2 (2008), p.23.

[3] Chen Tao, Yang Chenhui and Qing Bo: Computer Technology and Development Vol. 19(2009), p.45.

[4] Su Lei, Zhang Guangming and Wei Xiaodong: Machine Tool & Hydraulics Vol. 37(2009), p.294.

[5] Shang Feng, Wang Baoping and Feng Xiaoyi: Micro Computer Information Vol. 25(2009), p.248.

[6] Li Haifeng, Lu Yanfei: Journal of Beijing Electronics Science and Technology Institute Vol. 17(2009), p.7.

[7] Harris C G, Stephens M J.: A Combined Corner and Edge Detector (Proceedings of the 4th Alvey Vision Conference, Manchester England 1988). Acknowledgement This paper was funded by BIGC (Ed-07-17).

DOI: 10.5244/c.2.23

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