Fast Edge Detection Based on Mathematical Morphology for Straight Line Paths of Vision Navigation in AGV System

Article Preview

Abstract:

Fast processing and recognition of image have an important influence on the real-time performance of AGV by vision navigation. The fast method of edge detection based on mathematical morphology for straight line path is proposed in this paper. Binary processing is implemented firstly for path image. Then the edge detection using morphological gradient can be executed directly, and image filtering and recognition of path edge can be realized simultaneously. Kinematics model of AGV is built and the shape of structure element in morphology processing can be adjusted in real time. The results of experiment show that recognition time of straight line path is shorten by this image processing method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1093-1097

Citation:

Online since:

June 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Dechun Zhao, Chenglin Peng, Yuanyuan Chen. Journal of Chongqing University,Vol.33(2010), p.123 (in Chinese)

Google Scholar

[2] Junqi Shen, Shengsun hu, Sehngqiang Feng. Journal of Tianjin University,Vol.43(2010), p.373 (in Chinese)

Google Scholar

[3] Yuhua Chai, Liqun Gao, Rong Wang. Transactions of the CSAE,Vol.22(2006), p.119 (in Chinese)

Google Scholar

[4] Yanyan Cao, Hengjun Yue, Jian Wu. Third international Symposium on Intelligent Information Technology and Security informatics, 2012, p.258.

Google Scholar

[5] Hailong Huang, Hong Wang. Journal of Northeastern University(Natural Science),Vol.32(2011), p.1315 (in Chinese)

Google Scholar

[6] Yonghe Tang, Hanzhang Lu. Geomatics and Information Science of Wuhan University,Vol.37(2012), p.50 (in Chinese)

Google Scholar

[7] Wuwei Chen, Haitao Sun, Bichun Li. Chinese Journal of Mechanical Engineering,Vol.42(2006), p.164 (in Chinese)

Google Scholar