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
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;
Conference_Titel :
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-5140-1
Electronic_ISBN :
2152-7431
DOI :
10.1109/ICMA.2010.5588627