DocumentCode
2361690
Title
Line extraction algorithm based on image vectorization
Author
Naouai, Mohamed ; Narjess, Melki ; Hamouda, Atef
Author_Institution
Fac. of Sci. of Tunis, Univ. Campus el Manar DSI, Tunis, Tunisia
fYear
2010
fDate
4-7 Aug. 2010
Firstpage
470
Lastpage
476
Abstract
The raster-vector conversion of remote sensing image is a very important task in the extraction and updating of linear objects in cartographic processes. In this paper we present a vectorization method, based on constrained Delaunay triangulation, for line extraction. The constraints are provided by a preprocessing step insuring that these edges belong to line structures in the original image. The vectorization is performed using CDT and resulting triangles are grouped into polygins that make up the vector image. The skeleton of these polygons represents the extracted linear structures. The algorithm is automatic, fast and has very satisfing results when tested on road segments.
Keywords
computational geometry; edge detection; feature extraction; image thinning; CDT; cartographic process; constrained Delaunay triangulation; image vectorization; line extraction algorithm; linear objects; raster-vector conversion; remote sensing image; Correlation; Image edge detection; Image segmentation; Pixel; Shape; Skeleton; Vectors; CDT; Object recognition; Vectorization; skeletonization;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location
Xi´an
ISSN
2152-7431
Print_ISBN
978-1-4244-5140-1
Electronic_ISBN
2152-7431
Type
conf
DOI
10.1109/ICMA.2010.5588627
Filename
5588627
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