Proceedings of the 2012 National Conference on Information Technology and Computer Science

The Algorithm for Unstructured Road to Abstract Road Surface based on Color Feature

Authors
Xintian Cheng, Zhenmin Tang
Corresponding Author
Xintian Cheng
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.94How to use a DOI?
Keywords
Unstructured-Road; identification; Regional growth
Abstract
Visual navigation of mobile robots is an important issue in the field of computer vision research. For the characteristics of unstructured roads, in this paper, we use color feature and space information to solve this problem. First, compress color space of color image containing unstructured road to quantity color values. Second, automatically select the appropriate growing seed point by the space distribution of road area in the color images containing road, and then progress regional growth and obtain the boundary of unstructured road. The experiments show that this algorithm could identify a wide range of unstructured roads base on only part of the image color characteristics. Further more, its accurate recognition results and a small amount of computation could basically meet the real-time requirement of the mobile robot during outdoor industry
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.94How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xintian Cheng
AU  - Zhenmin Tang
PY  - 2012/11
DA  - 2012/11
TI  - The Algorithm for Unstructured Road to Abstract Road Surface based on Color Feature
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 360
EP  - 363
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.94
DO  - https://doi.org/10.2991/citcs.2012.94
ID  - Cheng2012/11
ER  -