Construction Research on Multi-Threshold Segmentation Based on Improved Otsu Threshold Method

Article Preview

Abstract:

The aim of unstructured road detection is the recognition of road region and the tracking of road boundary. An improved Otsu threshold method available in double-threshold segmentation was proposed in this paper to resolve the multi-peaks problem in both complicated background and target. This method remedies the mis-segmentation of Otsu threshold method caused by huge diversity of between-class variances and refines the segmentation precision by matching the proposed Otsu edges with the weighted Canny edges. According to the irregular characteristics of the unstructured road and the requirement of the real-time motion planning for intelligent vehicle, improved Otsu threshold method was proposed. The experiment results in different road environments demonstrated the validity and real-time of the proposed method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

425-428

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] WuGong Wei, FengGong Shu and Chao Shu: An improved method based on video vehicle detection and recognition, (2010), 1.

Google Scholar

[2] Hui Zhao, ChengLong Lin and ZhaoJing Tang: Based on peak cluster trend test including noise image fast threshold segmentation method, ISTIC PKU , (2009), 11.

Google Scholar

[3] ShengWen Liu, GaoSheng Xu and Ying Chi: Comparative study on the gray and edge strength match,  the national academic exchange and the 16th national infrared photoelectric technology science and technology exchange, (2003).

Google Scholar