Local mean multiphase segmentation with HMMF models

Jacob Daniel Kirstejn Hansen; Francois Bernard Lauze

doi:10.1007/978-3-319-58771-4_32

Local mean multiphase segmentation with HMMF models

Jacob Daniel Kirstejn Hansen^*, Francois Bernard Lauze

^*Corresponding author af dette arbejde

Datalogisk Institut

1 Citationer (Scopus)

Abstract

This paper presents two similar multiphase segmentation methods for recovery of segments in complex weakly structured images, with local and global bias fields, because they can occur in some X-ray CT imaging modalities. Derived from the Mumford-Shah functional, the proposed methods assume a fixed number of classes. They use local image average as discriminative features. Region labels are modelled by Hidden Markov Measure Field Models. The resulting problems are solved by straightforward alternate minimisation methods, particularly simple in the case of quadratic regularisation of the labels. We demonstrate the proposed methods’ capabilities on synthetic data using classical segmentation criteria as well as criteria specific to geoscience. We also present a few examples using real data.

Originalsprog	Engelsk
Titel	Scale Space and Variational Methods in Computer Vision : 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings
Redaktører	François Lauze, Yiqui Dong, Anders Bjorholm Dahl
Antal sider	12
Forlag	Springer
Publikationsdato	2017
Sider	396-407
ISBN (Trykt)	978-3-319-58770-7
ISBN (Elektronisk)	978-3-319-58771-4
DOI	https://doi.org/10.1007/978-3-319-58771-4_32
Status	Udgivet - 2017
Begivenhed	6th International Conference on Scale Space and Variational Methods in Computer Vision - Kolding, Danmark Varighed: 4 jun. 2017 → 8 jun. 2017 Konferencens nummer: 6

Konference

Konference	6th International Conference on Scale Space and Variational Methods in Computer Vision
Nummer	6
Land/Område	Danmark
By	Kolding
Periode	04/06/2017 → 08/06/2017

Navn	Lecture notes in computer science
Vol/bind	10302
ISSN	0302-9743

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10.1007/978-3-319-58771-4_32

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Citationsformater

Hansen, J. D. K., & Lauze, F. B. (2017). Local mean multiphase segmentation with HMMF models. I F. Lauze, Y. Dong, & A. B. Dahl (red.), Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings (s. 396-407). Springer. Lecture notes in computer science Bind 10302 https://doi.org/10.1007/978-3-319-58771-4_32

Local mean multiphase segmentation with HMMF models. / Hansen, Jacob Daniel Kirstejn; Lauze, Francois Bernard.

Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings. red. / François Lauze; Yiqui Dong; Anders Bjorholm Dahl. Springer, 2017. s. 396-407 (Lecture notes in computer science, Bind 10302).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Hansen, JDK & Lauze, FB 2017, Local mean multiphase segmentation with HMMF models. i F Lauze, Y Dong & AB Dahl (red), Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings. Springer, Lecture notes in computer science, bind 10302, s. 396-407, 6th International Conference on Scale Space and Variational Methods in Computer Vision, Kolding, Danmark, 04/06/2017. https://doi.org/10.1007/978-3-319-58771-4_32

Hansen, Jacob Daniel Kirstejn ; Lauze, Francois Bernard. / Local mean multiphase segmentation with HMMF models. Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings. red. / François Lauze ; Yiqui Dong ; Anders Bjorholm Dahl. Springer, 2017. s. 396-407 (Lecture notes in computer science, Bind 10302).

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Local mean multiphase segmentation with HMMF models

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