InforLorV4, Main, Merge, bibRecord, 007F84

Adaptive image-smoothing using a coplanar matrix and its application to document image binarization

Identifieur interne : 007F84 ( Main/Merge ); précédent : 007F83; suivant : 007F85

Adaptive image-smoothing using a coplanar matrix and its application to document image binarization

Auteurs : LIXIN FAN [Singapour] ; LIYING FAN [Singapour] ; CHEW LIM TAN [Singapour]

Source :

International journal on document analysis and recognition : (Print) [ 1433-2833 ] ; 2003.

RBID : Pascal:03-0384512

Descripteurs français

Pascal (Inist)
- Méthode image, Image bruitée, Méthode lissage, Image binaire, Structure 3 dimensions, Image floue, Orientation spatiale, Lissage image, Matrice coplanaire.

English descriptors

KwdEn :
- Binary image, Blurred image, Image method, Noisy image, Smoothing methods, Spatial orientation, Three dimensional structure.

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.

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Pascal:03-0384512

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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   |texte=   Adaptive image-smoothing using a coplanar matrix and its application to document image binarization
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Adaptive image-smoothing using a coplanar matrix and its application to document image binarization

Adaptive image-smoothing using a coplanar matrix and its application to document image binarization

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

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