Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling

Jan Cornelis; Edgard Nyssen; Antonis Katartzis; Luc Van Kempen; Piet Boekaerts; Rudi Deklerck; Alexandru Salomie Ioan

Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling

Jan Cornelis, Edgard Nyssen, Antonis Katartzis, Luc Van Kempen, Piet Boekaerts, Rudi Deklerck, Alexandru Salomie Ioan

Onderzoeksoutput: Conference paper

Samenvatting

Three classes of statistical techniques used to solve image segmentation and labelling problems are reviewed: (1) supervised and unsupervised pixel classification, (2) exploitation of the probability distribution map as a way to model image structure, (3) Markov random field modelling combined with MAP statistical classification. Diverse examples illustrate the potential of the three approaches that are described as generic methods belonging to a common framework for image segmentation/labelling

Originele taal-2	English
Titel	WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000.
Redacteuren	Yuan Baozong, Tang Xiaofang
Uitgeverij	16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China.
Pagina's	2103-2110
Aantal pagina's	8
Volume	III
Status	Published - aug. 2000

Bibliografische nota

16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China.
Series editor: Yuan Baozong, Tang Xiaofang

Citeer dit

Cornelis, J., Nyssen, E., Katartzis, A., Van Kempen, L., Boekaerts, P., Deklerck, R., & Salomie Ioan, A. (2000). Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling. In Y. Baozong, & T. Xiaofang (editors), WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000. (Vol. III, blz. 2103-2110). 16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China..

Cornelis, Jan ; Nyssen, Edgard ; Katartzis, Antonis et al. / Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling. WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000.. redacteur / Yuan Baozong ; Tang Xiaofang. Vol. III 16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China., 2000. blz. 2103-2110

@inproceedings{b92bfca837a0401d9fb06c190bb2efdf,

title = "Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling",

abstract = "Three classes of statistical techniques used to solve image segmentation and labelling problems are reviewed: (1) supervised and unsupervised pixel classification, (2) exploitation of the probability distribution map as a way to model image structure, (3) Markov random field modelling combined with MAP statistical classification. Diverse examples illustrate the potential of the three approaches that are described as generic methods belonging to a common framework for image segmentation/labelling",

author = "Jan Cornelis and Edgard Nyssen and Antonis Katartzis and {Van Kempen}, Luc and Piet Boekaerts and Rudi Deklerck and {Salomie Ioan}, Alexandru",

note = "16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China. Series editor: Yuan Baozong, Tang Xiaofang",

year = "2000",

month = aug,

language = "English",

volume = "III",

pages = "2103--2110",

editor = "Yuan Baozong and Tang Xiaofang",

booktitle = "WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000.",

publisher = "16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China.",

}

Cornelis, J , Nyssen, E, Katartzis, A, Van Kempen, L, Boekaerts, P, Deklerck, R & Salomie Ioan, A 2000, Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling. in Y Baozong & T Xiaofang (redactie), WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000.. vol. III, 16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China., blz. 2103-2110.

Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling. / Cornelis, Jan ; Nyssen, Edgard; Katartzis, Antonis et al.
WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000.. redactie / Yuan Baozong; Tang Xiaofang. Vol. III 16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China., 2000. blz. 2103-2110.

Onderzoeksoutput: Conference paper

TY - GEN

T1 - Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling

AU - Cornelis, Jan

AU - Nyssen, Edgard

AU - Katartzis, Antonis

AU - Van Kempen, Luc

AU - Boekaerts, Piet

AU - Deklerck, Rudi

AU - Salomie Ioan, Alexandru

N1 - 16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China. Series editor: Yuan Baozong, Tang Xiaofang

PY - 2000/8

Y1 - 2000/8

N2 - Three classes of statistical techniques used to solve image segmentation and labelling problems are reviewed: (1) supervised and unsupervised pixel classification, (2) exploitation of the probability distribution map as a way to model image structure, (3) Markov random field modelling combined with MAP statistical classification. Diverse examples illustrate the potential of the three approaches that are described as generic methods belonging to a common framework for image segmentation/labelling

AB - Three classes of statistical techniques used to solve image segmentation and labelling problems are reviewed: (1) supervised and unsupervised pixel classification, (2) exploitation of the probability distribution map as a way to model image structure, (3) Markov random field modelling combined with MAP statistical classification. Diverse examples illustrate the potential of the three approaches that are described as generic methods belonging to a common framework for image segmentation/labelling

M3 - Conference paper

VL - III

SP - 2103

EP - 2110

BT - WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000.

A2 - Baozong, Yuan

A2 - Xiaofang, Tang

PB - 16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China.

ER -

Cornelis J , Nyssen E, Katartzis A, Van Kempen L, Boekaerts P, Deklerck R et al. Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling. In Baozong Y, Xiaofang T, redacteurs, WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000.. Vol. III. 16 th World Computer Conference 2000 (WCC 2000) - 5th International Conference on Signal Processing (ICSP2000) Proceedings, Vol. III, pp. 2103-2110, Beijing, China. 2000. blz. 2103-2110

Statistical Models for Multidisciplinary Applications of Image Segmentation and Labelling

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