Research of Edge Detection Algorithm Based on Canny Algorithm and Hough Transform

Article Preview

Abstract:

In order to solve the difficulty of low contrast feature extracting between labeled features and background, a new method combined the Hough transform and Canny algorithm is put forward for tensile test using the video extensometer, and a new algorithm edge detection is also obtained based on Canny an feature region tracking as well. The algorithm has proved to be a high positioning accuracy and computational efficiency in the test.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

262-265

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Lin Lei, Ye Lieping, Chengjin. Applications of the Digital Photogrammetric Technique in Structural Experiments [J] . Experimental Technology and Management, 2003(1): 34-38.

Google Scholar

[2] Xu Xinhu, Li Guiqin, Guo Qing, et al. Research of Plastic Material Dynamic High-Speed Tensile Machine's Measurement and Control System Based on FPGA, J. Advanced Materials Research. 2011, 335: 372-375.

DOI: 10.4028/www.scientific.net/amr.335-336.372

Google Scholar

[3] Guiqin LI, Lei Guo, Yan Wang, Qing Guo, et al. 2D Vision Camera Calibration Method for High-precision Measurement, J. Transaction on Control and Mechanical Systems. 2012, 1(3): 99-103.

Google Scholar

[4] Kwon Oh Kyu,Sim Dong Gyu,Park Rae Hong. Robust Hausdorff distance matching algorithms using pyramidal structures [J] . Pattern Recognition . 2001,34(7): 2005~(2013).

DOI: 10.1109/icip.1999.819525

Google Scholar

[5] Haralick R M. Digital step edges from zero crossing of second directional derivatives [J]. IEEE Trans. on PAMI, 1984, 6(l): 58~68.

DOI: 10.1109/tpami.1984.4767475

Google Scholar

[6] Canny J. A Computational approach to edge detection [J]. IEEE Trnas on PAMI,1986, 8(6): 679~698.

Google Scholar

[7] LuS, et al. Improving edge measurement on noisy image by hierarchical NN [J] . Pattern Recognition Letters, 1991: 12~155.

Google Scholar

[8] Illingworth J, Kittler J. A survey of the Hough transforms [J]. CVGIP: Image Understanding, 1988, 44(1): 87~116.

Google Scholar

[9] Hu Zhanyi, Yang Changjiang, Ma Songde. A New Definition of the Hough Transform [J]. Chinese J. Computers, 1997, 20(8): 744-752.

Google Scholar