Surface Image Edge Detection Algorithm Based on Grey Relational Analysis

Article Preview

Abstract:

Automatic detection of pavement cracks is one of the very hot topics. For the characteristics of “small data, poor information” in the surface image processing, we construct ed a grey image relational model to characterize the local image edge feature, by selecting the appropriate threshold to extract the edge of appropriate level. Finally, simulation experiments show that the new algorithm can effectively improve the road edge detection results, and it is an effective good method worthy further study.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

343-346

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] DENG Ju-long. The Basic of the Grey System [M]. Wuhan. Huazhong University of technology Press(2002).

Google Scholar

[2] LIU Si-feng, Grey system theory and its application(fifth edition). Beijing: Science Press(2010).

Google Scholar

[3] 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).

Google Scholar

[4] 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(2004).

Google Scholar

[5] HU Peng, FU Zhongliang, CHEN Nan, Image Edge Detection Based on Gray System Theory[J], Geomatics and Information Science of Wuhan University, 31(5): 411-414(2006).

Google Scholar

[6] 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

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

Google Scholar

[8] Weifang Zhang, Min Guo, Miao Ma, Method of edge detection for stored pests images based on the grey theory[J], Journal of Shandong University(natural Science), 2010, 45(3): 42-46.

Google Scholar

[9] FENG Dong-zhu    YAN Jie, An Algorithm of Infrared Imaging Edge Detection Based on Grey Relational Analysis[J], INFRARED TECHNOLOGY, 2006, 28(3).

Google Scholar

[10] Dongzhu Feng , Xin Wang, Yuhe Liu, An edge detection method for infrared image based on grey relational analysis[C], /2nd International Symposium on Systems and Control in Aerospace and Astronautics, 2008.: 1-5.

DOI: 10.1109/isscaa.2008.4776163

Google Scholar

[11] Ziyang Zhen, Zhou Gu, and Yuanyuan Liu, A Novel Fuzzy Entropy Image Segmentation Approach Based on Grey Relational Analysis[C], / Proceedings of 2007 IEEE International Conference on Grey Systems and Intelligent Services, November 18-20, Nanjing, China : 1019-1022(2007).

DOI: 10.1109/gsis.2007.4443426

Google Scholar

[12] GAO Yong-Li, XUE Wen-Ge, A New Method Based on Deng Interrelatedness Picture Edge Examination[J], The application of computer systems, 2010, 19(2).

Google Scholar