Hierarchical classification-based radon road extraction (HCBRRE)

Author

Sellaouti, Aymen ; Rojbani, H. ; Hamouda, A. ; Wemmert, Cedric ; Deruyver, Aline

Author_Institution

Lab. of Comput. in Program., Algorithmic & Heuristic, Campus Univ. Tunisia, Tunis, Tunisia

fYear

2012

Firstpage

390

Lastpage

395

Abstract

A hierarchical classification based road extraction approach is proposed in this paper. In order to extract road network, a spectral based-classification associates a confidence score to each region in the image. This score is used to extract road region and its constraints for each iteration of the hierarchy. Road localization is based on Radon transform and expert knowledge. The quality assessments in urban area images show the benefits of the introduced approach.

Keywords

Radon transforms; feature extraction; image classification; roads; traffic engineering computing; HCBRRE; Radon transform; expert knowledge; hierarchical classification-based radon road extraction; quality assessments; road localization; road network extraction; road region extraction; spectral based-classification; urban area images; Accuracy; Equations; Feature extraction; Image resolution; Image segmentation; Roads; Transforms; Collaboration; Radon transform; Road extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4673-1871-6

Electronic_ISBN

978-1-4673-1870-9

Type

conf

DOI

10.1109/ICARCV.2012.6485190

Filename

6485190