Title :
Line recognition algorithm using Constrained Delaunay Triangulation
Author :
Naouai, Mohamed ; Narjess, Melki ; Hamouda, Atef
Author_Institution :
Res. unit URPAH, Univ. campus el Manar DSI, Belvédaire, Tunisia
Abstract :
Vectorization, i.e. raster-to-vector conversion, is a central part of graphics recognition problems. Graphics recognition is concerned with the analysis of graphics-intensive documents, such as technical drawings, maps or schemas. In this paper we present a generic algorithm for line extraction based on image vectorization. A pre-processing step provides points that are judged to belong to linear forms. We use Constrained Delaunay Triangulation and an edge filtering process to pass from the raster format to a set of polygons that make up the vector image. The final results are provided by skeletonization of the obtained polygons. The algorithm is automatic with very little interaction from the users and has very satisfying results when tested on road segments.
Keywords :
computer graphics; document image processing; feature extraction; filtering theory; genetic algorithms; mesh generation; object recognition; constrained Delaunay triangulation; edge filtering process; generic algorithm; graphics recognition problems; graphics-intensive documents; image vectorization; line extraction; line recognition algorithm; Correlation; Image edge detection; Image segmentation; Pixel; Shape; Skeleton; CDT; Object recognition; Vectorization; skeletonization;
Conference_Titel :
ELMAR, 2010 PROCEEDINGS
Conference_Location :
Zadar
Print_ISBN :
978-1-4244-6371-8
Electronic_ISBN :
1334-2630