Grid seeded region growing with Mixed ART for road extraction on DSM data

D. Herumurti*, K. Uchimura, G. Koutaki, T. Uemura

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Region Growing with Mixed ART is one of the methods for road extraction based on segmentation processing. The method is based on Region Growing method but using ART approach as homogeneity measurement. However, a drawback of this method is time consuming. For road extraction problem, it is unnecessary to separate all the regions as in general segmentation approach. We only need some of the road data and then grow it to obtain the road network. In this paper, we proposed a grid seeded region growing with Mixed ART. Since the road will cross the grid, we can obtain the road network based on growing from these seed points. The experimental result shows that the proposed method performs faster up to four times than the conventional seed point with the similar quality. The accuracy of extracted road and non-road are 74% and 77% respectively.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages613-617
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, China
Duration: 12 Aug 201215 Aug 2012

Publication series

Name2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012

Conference

Conference2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/TerritoryChina
CityHong Kong
Period12/08/1215/08/12

Keywords

  • Road extraction
  • region growing
  • segmentation

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