Adaptive image-smoothing using a coplanar matrix and its application to document image binarization
Identifieur interne :
000776 ( PascalFrancis/Corpus );
précédent :
000775;
suivant :
000777
Adaptive image-smoothing using a coplanar matrix and its application to document image binarization
Auteurs : LIXIN FAN ;
LIYING FAN ;
CHEW LIM TANSource :
-
International journal on document analysis and recognition : (Print) [ 1433-2833 ] ; 2003.
RBID : Pascal:03-0384512
Descripteurs français
English descriptors
Abstract
For document images corrupted by various kinds of noise, direct binarization images may be severely blurred and degraded. A common treatment for this problem is to pre-smooth input images using noise-suppressing filters. This article proposes an image-smoothing method used for prefiltering the document image binarization. Conceptually, we propose that the influence range of each pixel affecting its neighbors should depend on local image statistics. Technically, we suggest using coplanar matrices to capture the structural and textural distribution of similar pixels at each site. This property adapts the smoothing process to the contrast, orientation, and spatial size of local image structures. Experimental results demonstrate the effectiveness of the proposed method, which compares favorably with existing methods in reducing noise and preserving image features. In addition, due to the adaptive nature of the similar pixel definition, the proposed filter output is more robust regarding different noise levels than existing methods.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
| A01 | 01 | 1 | | @0 1433-2833 |
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| A03 | | 1 | | @0 Int. j. doc. anal. recognit. : (Print) |
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| A05 | | | | @2 5 |
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| A06 | | | | @2 2-3 |
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| A08 | 01 | 1 | ENG | @1 Adaptive image-smoothing using a coplanar matrix and its application to document image binarization |
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| A09 | 01 | 1 | ENG | @1 Selected papers from the ICDAR'01 conference |
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| A11 | 01 | 1 | | @1 LIXIN FAN |
|---|
| A11 | 02 | 1 | | @1 LIYING FAN |
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| A11 | 03 | 1 | | @1 CHEW LIM TAN |
|---|
| A12 | 01 | 1 | | @1 SPITZ (Larry) @9 ed. |
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| A12 | 02 | 1 | | @1 TOMBRE (Karl) @9 ed. |
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| A14 | 01 | | | @1 School of Computing, National University of Singapore @2 Singapore 117543 @3 SGP @Z 1 aut. @Z 2 aut. @Z 3 aut. |
|---|
| A15 | 01 | | | @1 DocRec Ltd., 34 Strathaven Place, Atawhai @2 Nelson 7001 @3 NZL @Z 1 aut. |
|---|
| A15 | 02 | | | @1 LORIA-INPL, Campus scientifique, B.P. 239 @2 54506 Vandoeuvre-lès-Nancy @3 FRA @Z 2 aut. |
|---|
| A20 | | | | @1 88-101 |
|---|
| A21 | | | | @1 2003 |
|---|
| A23 | 01 | | | @0 ENG |
|---|
| A43 | 01 | | | @1 INIST @2 26790 @5 354000118046720010 |
|---|
| A44 | | | | @0 0000 @1 © 2003 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 38 ref. |
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| A47 | 01 | 1 | | @0 03-0384512 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 International journal on document analysis and recognition : (Print) |
|---|
| A66 | 01 | | | @0 DEU |
|---|
| C01 | 01 | | ENG | @0 For document images corrupted by various kinds of noise, direct binarization images may be severely blurred and degraded. A common treatment for this problem is to pre-smooth input images using noise-suppressing filters. This article proposes an image-smoothing method used for prefiltering the document image binarization. Conceptually, we propose that the influence range of each pixel affecting its neighbors should depend on local image statistics. Technically, we suggest using coplanar matrices to capture the structural and textural distribution of similar pixels at each site. This property adapts the smoothing process to the contrast, orientation, and spatial size of local image structures. Experimental results demonstrate the effectiveness of the proposed method, which compares favorably with existing methods in reducing noise and preserving image features. In addition, due to the adaptive nature of the similar pixel definition, the proposed filter output is more robust regarding different noise levels than existing methods. |
|---|
| C02 | 01 | X | | @0 001D02C03 |
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| C03 | 01 | X | FRE | @0 Méthode image @5 01 |
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| C03 | 01 | X | ENG | @0 Image method @5 01 |
|---|
| C03 | 01 | X | SPA | @0 Método imagen @5 01 |
|---|
| C03 | 02 | X | FRE | @0 Image bruitée @5 02 |
|---|
| C03 | 02 | X | ENG | @0 Noisy image @5 02 |
|---|
| C03 | 02 | X | SPA | @0 Imagen sonora @5 02 |
|---|
| C03 | 03 | 3 | FRE | @0 Méthode lissage @5 03 |
|---|
| C03 | 03 | 3 | ENG | @0 Smoothing methods @5 03 |
|---|
| C03 | 04 | X | FRE | @0 Image binaire @5 04 |
|---|
| C03 | 04 | X | ENG | @0 Binary image @5 04 |
|---|
| C03 | 04 | X | SPA | @0 Imagen binaria @5 04 |
|---|
| C03 | 05 | X | FRE | @0 Structure 3 dimensions @5 05 |
|---|
| C03 | 05 | X | ENG | @0 Three dimensional structure @5 05 |
|---|
| C03 | 05 | X | SPA | @0 Estructura 3 dimensiones @5 05 |
|---|
| C03 | 06 | X | FRE | @0 Image floue @5 06 |
|---|
| C03 | 06 | X | ENG | @0 Blurred image @5 06 |
|---|
| C03 | 06 | X | SPA | @0 Imagen borrosa @5 06 |
|---|
| C03 | 07 | X | FRE | @0 Orientation spatiale @5 07 |
|---|
| C03 | 07 | X | ENG | @0 Spatial orientation @5 07 |
|---|
| C03 | 07 | X | SPA | @0 Orientación espacial @5 07 |
|---|
| C03 | 08 | X | FRE | @0 Lissage image @4 INC @5 82 |
|---|
| C03 | 09 | X | FRE | @0 Matrice coplanaire @4 INC @5 83 |
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| N21 | | | | @1 272 |
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| N82 | | | | @1 PSI |
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|
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| pR |
| A30 | 01 | 1 | ENG | @1 ICDAR'01 Biennial International Conference on Document Analysis and Recognition @3 Seattle, WA USA @4 2001-09 |
|---|
|
|---|
Format Inist (serveur)
| NO : | PASCAL 03-0384512 INIST |
|---|
| ET : | Adaptive image-smoothing using a coplanar matrix and its application to document image binarization |
|---|
| AU : | LIXIN FAN; LIYING FAN; CHEW LIM TAN; SPITZ (Larry); TOMBRE (Karl) |
|---|
| AF : | School of Computing, National University of Singapore/Singapore 117543/Singapour (1 aut., 2 aut., 3 aut.); DocRec Ltd., 34 Strathaven Place, Atawhai/Nelson 7001/Nouvelle-Zélande (1 aut.); LORIA-INPL, Campus scientifique, B.P. 239/54506 Vandoeuvre-lès-Nancy/France (2 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | International journal on document analysis and recognition : (Print); ISSN 1433-2833; Allemagne; Da. 2003; Vol. 5; No. 2-3; Pp. 88-101; Bibl. 38 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | For document images corrupted by various kinds of noise, direct binarization images may be severely blurred and degraded. A common treatment for this problem is to pre-smooth input images using noise-suppressing filters. This article proposes an image-smoothing method used for prefiltering the document image binarization. Conceptually, we propose that the influence range of each pixel affecting its neighbors should depend on local image statistics. Technically, we suggest using coplanar matrices to capture the structural and textural distribution of similar pixels at each site. This property adapts the smoothing process to the contrast, orientation, and spatial size of local image structures. Experimental results demonstrate the effectiveness of the proposed method, which compares favorably with existing methods in reducing noise and preserving image features. In addition, due to the adaptive nature of the similar pixel definition, the proposed filter output is more robust regarding different noise levels than existing methods. |
|---|
| CC : | 001D02C03 |
|---|
| FD : | Méthode image; Image bruitée; Méthode lissage; Image binaire; Structure 3 dimensions; Image floue; Orientation spatiale; Lissage image; Matrice coplanaire |
|---|
| ED : | Image method; Noisy image; Smoothing methods; Binary image; Three dimensional structure; Blurred image; Spatial orientation |
|---|
| SD : | Método imagen; Imagen sonora; Imagen binaria; Estructura 3 dimensiones; Imagen borrosa; Orientación espacial |
|---|
| LO : | INIST-26790.354000118046720010 |
|---|
| ID : | 03-0384512 |
|---|
Links to Exploration step
Pascal:03-0384512
Le document en format XML
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<ET>Adaptive image-smoothing using a coplanar matrix and its application to document image binarization</ET>
<AU>LIXIN FAN; LIYING FAN; CHEW LIM TAN; SPITZ (Larry); TOMBRE (Karl)</AU>
<AF>School of Computing, National University of Singapore/Singapore 117543/Singapour (1 aut., 2 aut., 3 aut.); DocRec Ltd., 34 Strathaven Place, Atawhai/Nelson 7001/Nouvelle-Zélande (1 aut.); LORIA-INPL, Campus scientifique, B.P. 239/54506 Vandoeuvre-lès-Nancy/France (2 aut.)</AF>
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<LA>Anglais</LA>
<EA>For document images corrupted by various kinds of noise, direct binarization images may be severely blurred and degraded. A common treatment for this problem is to pre-smooth input images using noise-suppressing filters. This article proposes an image-smoothing method used for prefiltering the document image binarization. Conceptually, we propose that the influence range of each pixel affecting its neighbors should depend on local image statistics. Technically, we suggest using coplanar matrices to capture the structural and textural distribution of similar pixels at each site. This property adapts the smoothing process to the contrast, orientation, and spatial size of local image structures. Experimental results demonstrate the effectiveness of the proposed method, which compares favorably with existing methods in reducing noise and preserving image features. In addition, due to the adaptive nature of the similar pixel definition, the proposed filter output is more robust regarding different noise levels than existing methods.</EA>
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