Automatic road extraction from printed maps

Sebastien Callier, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Raster maps are widely available in the everyday life, and can contain a huge amount of information of any kind using labels, pictograms, or color code e.g. But due to those overlapping features, it's not an easy task to extract roads from those maps. Many methods use user input to achieve this goal. In this paper we focus on an automated method to extract roads by using color segmentation and linear features detection to search for seed points having a high probability to belong to roads. Those seeds are then expanded before choosing to keep or to discard the extracted element.

Original languageEnglish
Title of host publicationProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
Pages243-246
Number of pages4
Publication statusPublished - 2011 Dec 1
Event12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
Duration: 2011 Jun 132011 Jun 15

Publication series

NameProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

Other

Other12th IAPR Conference on Machine Vision Applications, MVA 2011
CountryJapan
CityNara
Period11/6/1311/6/15

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Keywords

  • Raster map
  • Road extraction
  • Seed points

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Callier, S., & Saito, H. (2011). Automatic road extraction from printed maps. In Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011 (pp. 243-246). (Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011).