Road Network Extraction and Recognition Using Color Clustering From Color Map Images

DOI

10.2991/icmt-13.2013.218How to use a DOI?

Keywords

Feature extraction, Clustering, Denoising, Mathematical morphology

Abstract

This paper use a color image digital map of Beijing area to do road feature extraction.It takes full advantage of color map by using clustering to get road network highlighted first, and then picks road network out through denoising, and does post processing works by using mathematical morphology algorithms to make road network more clearly.Combined with color map and clustering features to complete extract.Proved by the simulation experiments, the whole process of extraction does work and obtains a good results.

Copyright

© 2013, 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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TY  - CONF
AU  - Lulu Zhang
AU  - Ning He
AU  - Cheng Xu
PY  - 2013/11
DA  - 2013/11
TI  - Road Network Extraction and Recognition Using Color Clustering From Color Map Images
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1801
EP  - 1808
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.218
DO  - 10.2991/icmt-13.2013.218
ID  - Zhang2013/11
ER  -