Paper Info
Title
Line net global vectorization: an algorithm and its performance evaluation
Abstract
In this paper, an efficient global algorithm for vectorizing line drawings is presented. It first extracts a seed segment of a graphic entity from a raster image to obtain its direction and width, then tracks the pixels under the guidance of the direction so that the tracking can track through functions and is not affected by noise and degradation of image quality. Thus, an entity will be vectorized in one step without postprocessing. The relations among lines are also used to realize the continuous vectorization of a line net. The speed and quality of vectorization are greatly improved with this algorithm. The performance evaluation is carried out both by theoretical analysis and by experiments. Comparisons with other vectorization algorithms are also made
Year
DOI
Venue
2000
10.1109/CVPR.2000.855844
CVPR
Keywords
Field
DocType
image quality,image segmentation,computational geometry,seed segment,line net global vectorization,raster image,line drawings vectorization,graphic entity,performance evaluation,computer graphics,morphology,computer science,pixel,image analysis,image recognition,liquefied natural gas,text analysis
Computer vision,Raster graphics,Computer science,Computational geometry,Algorithm,Vectorization (mathematics),Image quality,Image segmentation,Pixel,Artificial intelligence,Image tracing,Line drawings
Conference
Volume
Issue
ISSN
1
1
1063-6919
ISBN
Citations 
PageRank 
0-7695-0662-3
16
0.87
References 
Authors
5
5
Name
Order
Citations
PageRank
Jiqiang Song137320.18
Feng Su217018.63
Jibing Chen3211.41
Chiew-Lan Tai4164077.68
Shijie Cai521817.02