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
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 (eds), 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., pp. 2103-2110.
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 (Eds.), WCC 2000 - ICSP2000, World Computer Conference 2000 - 5th International Conference on Signal Processing Proceedings; Beijing, China III/III ; Aug 2000. (Vol. III, pp. 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..
@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.",
}