Please use this identifier to cite or link to this item:
Title: Real time railway extraction by angle alignment measure
Authors: Wu, H
Siu, WC 
Keywords: Driver assistant system
Gradient angle
Railway extraction
Issue Date: 2015
Publisher: IEEE Computer Society
Source: Proceedings - International Conference on Image Processing, ICIP, 27-30 September 2015, 7351670, p. 4560-4564 How to cite?
Abstract: Rail extraction is a fundamental and important step in railway Driver Assistant System, which is now an important application of image processing. The task is challenging as the railway is exposed to different environments. This paper proposes a railway extraction scheme, using a novel connectivity measure method named Angle Alignment Measure. The proposed scheme is robust to luminance and color variation, without edge extraction process. Railways with different lengths and patterns can be extracted under various lighting and weather conditions. More importantly, the computation complexity of the proposed scheme is very low, requiring only on average 25ms to process a frame on smart phone and 5ms on desktop computer, which are significantly better than algorithms in the literature.
ISBN: 9781479983391
ISSN: 1522-4880
DOI: 10.1109/ICIP.2015.7351670
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Jun 13, 2018

Page view(s)

Last Week
Last month
Citations as of Jun 18, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.