Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Improved K-means Clustering Color Segmentation for Road Perception

Authors
Lei Zhou, Yanjun Zhang, Danwen Peng, Dimin Wu
Corresponding Author
Lei Zhou
Available Online April 2015.
DOI
10.2991/ameii-15.2015.198How to use a DOI?
Keywords
Road Perception; Color Model; K-means Clustering Segmentation; B-splines Curve Model.
Abstract

A modified road perception algorithm is presented based on the color image clustering segmentation. According to the comparison of color spaces' uniformity and integrity, an improved K-means clustering algorithm is proposed to segment color images in the space LAB. Firstly, the target area contains road which is gained in images class using the connected domain labeling algorithm. Then, credible road edge points can be obtained in response to alternate-line sampling labeled region of images and assuming the constant of road width consequently. By establishing the B-splines curve model to fit road shape, the algorithm adopts the least square method used to search the optimal control points of splines curve to identify the road boundaries.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
978-94-62520-69-1
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.198How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Zhou
AU  - Yanjun Zhang
AU  - Danwen Peng
AU  - Dimin Wu
PY  - 2015/04
DA  - 2015/04
TI  - Improved K-means Clustering Color Segmentation for Road Perception
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1074
EP  - 1079
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.198
DO  - 10.2991/ameii-15.2015.198
ID  - Zhou2015/04
ER  -