Edge Detection Algorithm for Surface Image Based on Euclidean Distance Discriminant

Article Preview

Abstract:

For the problem of difficult to detect the edge in the surface image processing, we used the Euclidean distance from the selected pixels in the corner of the neighborhood window to the centre point of that to measure the extent of being edge, and then search for suitable threshold to extract the expected edge pixels. This algorithm can extract target information better, while also inhibiting the background interference, and it is a good algorithm which is worthy of further exploration

You might also be interested in these eBooks

Info:

Periodical:

Pages:

347-350

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D. Ziou and S. Tabbone. Edge detection techniques-an overview,. Pattern Recognition and Image Analysis, Vol. 8, No. 4, 1998, p.537–559.

Google Scholar

[2] Chen Feng, Guangrong Ji, Junna Cheng, Xuefeng Liu. Image Edge Detection Based on Improved Local Fractal Dimension,. Fourth International Conference on Natural Computation, 2008, pp.640-643.

DOI: 10.1109/icnc.2008.447

Google Scholar

[3] UN-FENG LI, WEN-ZHAN DAI. Research of image edge detection and application based on grey prediction model,. Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007, pp.286-291.

DOI: 10.1109/icwapr.2007.4420680

Google Scholar

[4] MARR. O. C, Theory of edge detection, Proc Roy Soc London : [ s n ] , 1980, p.187–217.

Google Scholar

[5] Canny. J, A computational approach to edge detection, IEEE Trans PAMI, vol. 8, no. 6, 1986, p.679–698.

Google Scholar

[6] LilyRui LING, Carl Glooney, Competitive fuzzy edge detective, Applied Soft Computing, vol. 3, no. 2, 2003, p.123–137.

Google Scholar

[7] Kim D. S, Lee W. H, Kweon I. S , Automatic edge detection using 3x3 ideal binary pixel patterns and fuzzy-based edge thresholding, Pattern Recognition Lett, vol. 25, 2004, pp.101-106.

DOI: 10.1016/j.patrec.2003.09.010

Google Scholar

[8] Ma Miao, Fan Yangyu, Xie Songyun, et al. A Novel Algorithm of Image Edge Detection based on Gray System Theory. Chinese Journal of noises. Image and Graphic (Chinese Version). Vol. 8, pp.1136-1139, 2003. 10.

Google Scholar

[9] Zhang zi-hua, Chen jia-zhen, Chen Li-yong, An Algorithm of Image Edge Detection based on Gray Correlation Analysis, Journal of Fujian Normal University(Natural Science Edition, Dec. (2004).

Google Scholar

[10] Junfeng Li, Aiping Yang, Wenzhan Dai, et al. On Image Edge Detection Based on Grey Absolute Degree of Incidence and LOG Operator [C], / Proceedings of the 26th Chinese control conference, July 26-31, 2007, Zhangjiajie, Hunan, China: 480-484.

DOI: 10.1109/chicc.2006.4346839

Google Scholar

[11] Naiqiang Zhe, image edge detection algorithm study based on grey theory[D], Wuhan: Wuhan University of technology, (2009).

Google Scholar

[12] N. Selvarasu, Alamelu Nachiappan, N.M. Nandhitha, Abnormality Detection from Medical Thermographs in Human Using Euclidean Distance based color Image Segmentation[C], 2010 International Conference on Signal Acquisition and Processing, IEEE Computer Society, 2010: 73-75.

DOI: 10.1109/icsap.2010.63

Google Scholar

[13] Jing Li, Bao-Liang Lu, An adaptive image Euclidean distance[J], Pattern Recognition, 2009(42): 349-357.

DOI: 10.1016/j.patcog.2008.07.017

Google Scholar