Multiple level set region based single line road extraction

Author

Akram, Khondekar Mahabub ; Lutfe Elahi, Mirza M. ; Amin, M. Ashraful

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., North South Univ., Dhaka, Bangladesh

Volume

03

fYear

2013

fDate

14-17 July 2013

Firstpage

1201

Lastpage

1206

Abstract

A new region detection approach for GIS system has been proposed to detect the roads in image. After extraction of road parts from the other parts of image, binarized road features are mined and then used to get a single line road features by thinning. The pruning of the extra unrelated branches and linking of the related branches have been done using Bottom-Top Nega-Max Formulation and Gradient Circum-circle Based Linking. Our proposed method shows high accuracy in detecting roads from satellite images. We have proved by experiment and analysis that proposed method of road extraction is best suited to deal with an average of 95.6% accuracy.

Keywords

artificial satellites; feature extraction; geographic information systems; geophysical image processing; gradient methods; image thinning; object detection; GIS system; binarized road feature mining; bottom-top nega-max formulation; branch pruning; gradient circum circle based linking; image thinning; multiple level set region; region detection approach; road detection; satellite images; single line road extraction; Abstracts; Accuracy; Image segmentation; Minimization; Alpha-beta pruning; Gradient linking; Level set; Linking; Multi-channel; Pruning; Statistical minimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2013 International Conference on

Conference_Location

Tianjin

Type

conf

DOI

10.1109/ICMLC.2013.6890773

Filename

6890773