InforLorV4, PascalFrancis, Corpus, bibRecord, 000447

Robust and accurate vectorization of line drawings

Identifieur interne : 000447 ( PascalFrancis/Corpus ); précédent : 000446; suivant : 000448

Robust and accurate vectorization of line drawings

Auteurs : Xavier Hilaire ; Karl Tombre

Source :

IEEE transactions on pattern analysis and machine intelligence [ 0162-8828 ] ; 2006.

RBID : Pascal:06-0282460

Descripteurs français

Pascal (Inist)
- Segmentation image, Analyse forme, Graphisme, Interprétation image, Analyse documentaire, Image binaire, Vectorisation, Reconnaissance graphique, Interprétation graphique.

English descriptors

KwdEn :
- Binary image, Document analysis, Graphical recognition, Graphism, Image interpretation, Image segmentation, Pattern analysis, Vectorization.

Abstract

This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists of separating the input binary image into layers of homogeneous thickness, skeletonizing each layer, segmenting the skeleton by a method based on random sampling, and simplifying the result. The segmentation method is robust with a best bound of 50 percent noise reached for indefinitely long primitives. Accurate estimation of the recognized vector's parameters is enabled by explicitly computing their feasibility domains. Theoretical performance analysis and expression of the complexity of the segmentation method are derived. Experimental results and comparisons with other vectorization systems are also provided.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A02	`01`			`@0 ITPIDJ`
A03		`1`		`@0 IEEE trans. pattern anal. mach. intell.`
A05				`@2 28`
A06				`@2 6`
A08	`01`	`1`	`ENG`	`@1 Robust and accurate vectorization of line drawings`
A11	`01`	`1`		`@1 HILAIRE (Xavier)`
A11	`02`	`1`		`@1 TOMBRE (Karl)`
A14	`01`			`@1 LORIA, 615 rue du Jardin Botanique @2 54602 Villers- lès-Nancy @3 FRA @Z 1 aut. @Z 2 aut.`
A20				`@1 890-904`
A21				`@1 2006`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 222T @5 354000142653500040`
A44				`@0 0000 @1 © 2006 INIST-CNRS. All rights reserved.`
A45				`@0 54 ref.`
A47	`01`	`1`		`@0 06-0282460`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 IEEE transactions on pattern analysis and machine intelligence`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists of separating the input binary image into layers of homogeneous thickness, skeletonizing each layer, segmenting the skeleton by a method based on random sampling, and simplifying the result. The segmentation method is robust with a best bound of 50 percent noise reached for indefinitely long primitives. Accurate estimation of the recognized vector's parameters is enabled by explicitly computing their feasibility domains. Theoretical performance analysis and expression of the complexity of the segmentation method are derived. Experimental results and comparisons with other vectorization systems are also provided.
C02	`01`	`X`		`@0 001D02C03`
C03	`01`	`3`	`FRE`	`@0 Segmentation image @5 01`
C03	`01`	`3`	`ENG`	`@0 Image segmentation @5 01`
C03	`02`	`X`	`FRE`	`@0 Analyse forme @5 02`
C03	`02`	`X`	`ENG`	`@0 Pattern analysis @5 02`
C03	`02`	`X`	`SPA`	`@0 Análisis forma @5 02`
C03	`03`	`X`	`FRE`	`@0 Graphisme @5 03`
C03	`03`	`X`	`ENG`	`@0 Graphism @5 03`
C03	`03`	`X`	`SPA`	`@0 Grafismo @5 03`
C03	`04`	`X`	`FRE`	`@0 Interprétation image @5 04`
C03	`04`	`X`	`ENG`	`@0 Image interpretation @5 04`
C03	`04`	`X`	`SPA`	`@0 Interpretación imágen @5 04`
C03	`05`	`X`	`FRE`	`@0 Analyse documentaire @5 05`
C03	`05`	`X`	`ENG`	`@0 Document analysis @5 05`
C03	`05`	`X`	`SPA`	`@0 Análisis documental @5 05`
C03	`06`	`X`	`FRE`	`@0 Image binaire @5 06`
C03	`06`	`X`	`ENG`	`@0 Binary image @5 06`
C03	`06`	`X`	`SPA`	`@0 Imagen binaria @5 06`
C03	`07`	`X`	`FRE`	`@0 Vectorisation @5 07`
C03	`07`	`X`	`ENG`	`@0 Vectorization @5 07`
C03	`07`	`X`	`SPA`	`@0 Vectorisación @5 07`
C03	`08`	`X`	`FRE`	`@0 Reconnaissance graphique @5 08`
C03	`08`	`X`	`ENG`	`@0 Graphical recognition @5 08`
C03	`08`	`X`	`SPA`	`@0 Reconocimiento gráfico @5 08`
C03	`09`	`X`	`FRE`	`@0 Interprétation graphique @4 INC @5 82`
N21				`@1 177`
N44	`01`			`@1 PSI`
N82				`@1 PSI`

Format Inist (serveur)

NO :	PASCAL 06-0282460 INIST
ET :	Robust and accurate vectorization of line drawings
AU :	HILAIRE (Xavier); TOMBRE (Karl)
AF :	LORIA, 615 rue du Jardin Botanique/54602 Villers- lès-Nancy/France (1 aut., 2 aut.)
DT :	Publication en série; Niveau analytique
SO :	IEEE transactions on pattern analysis and machine intelligence; ISSN 0162-8828; Coden ITPIDJ; Etats-Unis; Da. 2006; Vol. 28; No. 6; Pp. 890-904; Bibl. 54 ref.
LA :	Anglais
EA :	This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists of separating the input binary image into layers of homogeneous thickness, skeletonizing each layer, segmenting the skeleton by a method based on random sampling, and simplifying the result. The segmentation method is robust with a best bound of 50 percent noise reached for indefinitely long primitives. Accurate estimation of the recognized vector's parameters is enabled by explicitly computing their feasibility domains. Theoretical performance analysis and expression of the complexity of the segmentation method are derived. Experimental results and comparisons with other vectorization systems are also provided.
CC :	001D02C03
FD :	Segmentation image; Analyse forme; Graphisme; Interprétation image; Analyse documentaire; Image binaire; Vectorisation; Reconnaissance graphique; Interprétation graphique
ED :	Image segmentation; Pattern analysis; Graphism; Image interpretation; Document analysis; Binary image; Vectorization; Graphical recognition
SD :	Análisis forma; Grafismo; Interpretación imágen; Análisis documental; Imagen binaria; Vectorisación; Reconocimiento gráfico
LO :	INIST-222T.354000142653500040
ID :	06-0282460

Links to Exploration step

Pascal:06-0282460

Le document en format XML

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Robust and accurate vectorization of line drawings

Robust and accurate vectorization of line drawings

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri