Road centreline extraction from classified images by using the geodesic method

Zelang Miao, Wen Zhong Shi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)


This study presents an automatic method for accurate road centreline extraction from classified images. Unlike earlier methods that have mainly relied on the thinning algorithm, the proposed automatic method selects end points from a classified image and then connects them using the geodesic method to formulate the road network. As the proposed method generates the road centreline by tracing along the ridge line of the optimally oriented flux (OOF) measure, this method is able to eliminate undesired spurs while retaining the correct road network topology. Three test images are used to quantitatively evaluate the proposed method. Experiments show that the proposed method yields a substantial improvement over the thinning algorithm.
Original languageEnglish
Pages (from-to)367-376
Number of pages10
JournalRemote Sensing Letters
Issue number4
Publication statusPublished - 3 Apr 2014

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Electrical and Electronic Engineering


Dive into the research topics of 'Road centreline extraction from classified images by using the geodesic method'. Together they form a unique fingerprint.

Cite this