Research on Connecting Plate Outline Measurement System Based on Image Processing

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Abstract:

This paper aims to accurately obtain connecting plate outline. First, a camera captured a connecting plate image, then transmitted it to a computer, next converted it to a gray image, after that used Canny operator to extracted its edge information, and converted the pixel points of the gray image to rectangular coordinate values, at last found out all of the vertices of the connecting plate. Research result shows that the system is simple, its accuracy is less than 0.3%, and the data processing is convenience.

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Periodical:

Advanced Materials Research (Volumes 271-273)

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394-398

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Online since:

July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Mao Meijiao. An automatic measuring instrument for measuring profiles of connecting plates[D]. Wuhan. Wuhan University. (2003).

Google Scholar

[2] Lu Hong, Xia Qingguan. In Size measurement of objects by using image processing technology[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2004, (3): 88–89.

Google Scholar

[3] FAN Na, Li Jinhui. Improvement of Prewitt operator on edge detection of Image[J]. Journal of Xi'An Technological University, 2005, 25(1): 37–39, 44.

Google Scholar

[4] Wang Jiawen, Li Yingjun. MATLAB 7. 0 graphics image processing[M]. Beijing: National Defence Industrial Press, 2006, 6: 252–253.

Google Scholar

[5] Sun Tong, Neuvo Y. Detail-preserving median based-filters in image processing. Patten Recognition Letters, 1994, 15(4): 341–347.

DOI: 10.1016/0167-8655(94)90082-5

Google Scholar

[6] Ko S J, Lee Y H.Center weighted median filters and their applications to image enhancement. IEEE, 1991, 38(9): 984–993.

DOI: 10.1109/31.83870

Google Scholar

[7] Wang Junghua, Lin Lianda.Improved Median Filter Using Minmax Algorithm for Image Processing[J]. Electronics Letters, 1997, 33(16): 1362–1363.

DOI: 10.1049/el:19970945

Google Scholar

[8] Hwang H, Haddad R A. Adaptive median Filters: new algorithms and results. IEEE Transactions on Image Processing, 1995, 4(4): 499–502.

DOI: 10.1109/83.370679

Google Scholar

[9] Han W Y, Lin J C. Minimum-maximum exclusive mean(MMEM) Filter to remove impulse noise from highly cor-rupted images. IEEE Electronics Letters, 1997, 33(2): 124–125.

DOI: 10.1049/el:19970106

Google Scholar

[10] Lee Y H, Kassam S A. Generalized median filtering and related non linear filtering techniques. IEEE Trans, A coust, Speech, Signal Processing, 1985, ASSP233: 672–683.

DOI: 10.1109/tassp.1985.1164591

Google Scholar