InforLorV4, PascalFrancis, Corpus, bibRecord, 000119

The generalization of the R-transform for invariant pattern representation

Identifieur interne : 000119 ( PascalFrancis/Corpus ); précédent : 000118; suivant : 000120

The generalization of the R-transform for invariant pattern representation

Auteurs : Thai V. Hoang ; Salvatore Tabbone

Source :

Pattern recognition [ 0031-3203 ] ; 2012.

RBID : Pascal:12-0214914

Descripteurs français

Pascal (Inist)
- Transformation Radon, Indexation, Singularité, Echantillonnage, Bruit quantification, Bruit additif, Robustesse, Codage, Echelle gris, Extraction caractéristique, Immunité bruit, Traitement signal.

English descriptors

KwdEn :
- Additive noise, Coding, Feature extraction, Gray scale, Indexing, Noise immunity, Quantization noise, Radon transformation, Robustness, Sampling, Signal processing, Singularity.

Abstract

The beneficial properties of the Radon transform make it a useful intermediate representation for the extraction of invariant features from pattern images for the purpose of indexing/matching. This paper revisits the problem of Radon image utilization with a generic view on a popular Radon transform-based transform and pattern descriptor, the R-transform and R-signature, bringing in a class of transforms and descriptors spatially describing patterns at all directions and at different levels, while maintaining the beneficial properties of the conventional R-transform and R-signature. The domain of this class, which is delimited due to the existence of singularities and the effect of sampling/ quantization and additive noise, is examined. Moreover, the ability of the generic R-transform to encode the dominant directions of patterns is also discussed, adding to the robustness to additive noise of the generic R-signature. The stability of dominant direction encoding by the generic R-transform and the superiority of the generic R-signature over existing invariant pattern descriptors on grayscale and binary noisy datasets have been confirmed by experiments.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A44				`@0 0000 @1 © 2012 INIST-CNRS. All rights reserved.`
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A64	`01`	`1`		`@0 Pattern recognition`
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C01	`01`		`ENG`	@0 The beneficial properties of the Radon transform make it a useful intermediate representation for the extraction of invariant features from pattern images for the purpose of indexing/matching. This paper revisits the problem of Radon image utilization with a generic view on a popular Radon transform-based transform and pattern descriptor, the R-transform and R-signature, bringing in a class of transforms and descriptors spatially describing patterns at all directions and at different levels, while maintaining the beneficial properties of the conventional R-transform and R-signature. The domain of this class, which is delimited due to the existence of singularities and the effect of sampling/ quantization and additive noise, is examined. Moreover, the ability of the generic R-transform to encode the dominant directions of patterns is also discussed, adding to the robustness to additive noise of the generic R-signature. The stability of dominant direction encoding by the generic R-transform and the superiority of the generic R-signature over existing invariant pattern descriptors on grayscale and binary noisy datasets have been confirmed by experiments.
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C03	`04`	`X`	`SPA`	`@0 Muestreo @5 04`
C03	`05`	`X`	`FRE`	`@0 Bruit quantification @5 05`
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C03	`09`	`X`	`FRE`	`@0 Echelle gris @5 09`
C03	`09`	`X`	`ENG`	`@0 Gray scale @5 09`
C03	`09`	`X`	`SPA`	`@0 Escala gris @5 09`
C03	`10`	`3`	`FRE`	`@0 Extraction caractéristique @5 10`
C03	`10`	`3`	`ENG`	`@0 Feature extraction @5 10`
C03	`11`	`X`	`FRE`	`@0 Immunité bruit @5 11`
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Format Inist (serveur)

NO :	PASCAL 12-0214914 INIST
ET :	The generalization of the R-transform for invariant pattern representation
AU :	HOANG (Thai V.); TABBONE (Salvatore)
AF :	MICA Center, HUST - CNRS/UMI 2954 - Grenoble INP/Hanoi/Viet Nam (1 aut.); LORIA, CNRS/UMR 7503, Nancy University/54506 Vandoeuvre-les-Nancy/France (1 aut., 2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Pattern recognition; ISSN 0031-3203; Coden PTNRA8; Royaume-Uni; Da. 2012; Vol. 45; No. 6; Pp. 2145-2163; Bibl. 39 ref.
LA :	Anglais
EA :	The beneficial properties of the Radon transform make it a useful intermediate representation for the extraction of invariant features from pattern images for the purpose of indexing/matching. This paper revisits the problem of Radon image utilization with a generic view on a popular Radon transform-based transform and pattern descriptor, the R-transform and R-signature, bringing in a class of transforms and descriptors spatially describing patterns at all directions and at different levels, while maintaining the beneficial properties of the conventional R-transform and R-signature. The domain of this class, which is delimited due to the existence of singularities and the effect of sampling/ quantization and additive noise, is examined. Moreover, the ability of the generic R-transform to encode the dominant directions of patterns is also discussed, adding to the robustness to additive noise of the generic R-signature. The stability of dominant direction encoding by the generic R-transform and the superiority of the generic R-signature over existing invariant pattern descriptors on grayscale and binary noisy datasets have been confirmed by experiments.
CC :	001D04A04C; 001D04A04B; 001D04A04A2
FD :	Transformation Radon; Indexation; Singularité; Echantillonnage; Bruit quantification; Bruit additif; Robustesse; Codage; Echelle gris; Extraction caractéristique; Immunité bruit; Traitement signal
ED :	Radon transformation; Indexing; Singularity; Sampling; Quantization noise; Additive noise; Robustness; Coding; Gray scale; Feature extraction; Noise immunity; Signal processing
SD :	Transformación Radon; Indización; Singularidad; Muestreo; Ruido cuantificación; Ruido aditivo; Robustez; Codificación; Escala gris; Inmunidad ruido; Procesamiento señal
LO :	INIST-15220.354000509881540110
ID :	12-0214914

Links to Exploration step

Pascal:12-0214914

Le document en format XML

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<server><NO>PASCAL 12-0214914 INIST</NO>
<ET>The generalization of the R-transform for invariant pattern representation</ET>
<AU>HOANG (Thai V.); TABBONE (Salvatore)</AU>
<AF>MICA Center, HUST - CNRS/UMI 2954 - Grenoble INP/Hanoi/Viet Nam (1 aut.); LORIA, CNRS/UMR 7503, Nancy University/54506 Vandoeuvre-les-Nancy/France (1 aut., 2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Pattern recognition; ISSN 0031-3203; Coden PTNRA8; Royaume-Uni; Da. 2012; Vol. 45; No. 6; Pp. 2145-2163; Bibl. 39 ref.</SO>
<LA>Anglais</LA>
<EA>The beneficial properties of the Radon transform make it a useful intermediate representation for the extraction of invariant features from pattern images for the purpose of indexing/matching. This paper revisits the problem of Radon image utilization with a generic view on a popular Radon transform-based transform and pattern descriptor, the R-transform and R-signature, bringing in a class of transforms and descriptors spatially describing patterns at all directions and at different levels, while maintaining the beneficial properties of the conventional R-transform and R-signature. The domain of this class, which is delimited due to the existence of singularities and the effect of sampling/ quantization and additive noise, is examined. Moreover, the ability of the generic R-transform to encode the dominant directions of patterns is also discussed, adding to the robustness to additive noise of the generic R-signature. The stability of dominant direction encoding by the generic R-transform and the superiority of the generic R-signature over existing invariant pattern descriptors on grayscale and binary noisy datasets have been confirmed by experiments.</EA>
<CC>001D04A04C; 001D04A04B; 001D04A04A2</CC>
<FD>Transformation Radon; Indexation; Singularité; Echantillonnage; Bruit quantification; Bruit additif; Robustesse; Codage; Echelle gris; Extraction caractéristique; Immunité bruit; Traitement signal</FD>
<ED>Radon transformation; Indexing; Singularity; Sampling; Quantization noise; Additive noise; Robustness; Coding; Gray scale; Feature extraction; Noise immunity; Signal processing</ED>
<SD>Transformación Radon; Indización; Singularidad; Muestreo; Ruido cuantificación; Ruido aditivo; Robustez; Codificación; Escala gris; Inmunidad ruido; Procesamiento señal</SD>
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<ID>12-0214914</ID>
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The generalization of the R-transform for invariant pattern representation

The generalization of the R-transform for invariant pattern representation

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