Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging

Anatole Chessel; Bertrand Cinquin; Sabine Bardin; Jean Salamero; Charles Kervrann

doi:10.1007/978-3-642-02256-2_64

Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging

Anatole Chessel
, Bertrand Cinquin
, Sabine Bardin
, Jean Salamero
, Charles Kervrann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper a framework for defining scale-spaces, based on the computational geometry concepts of α-shapes, is proposed. In this approach, objects (curves or surfaces) of increasing convexity are computed by selective sub-sampling, from the original shape to its convex hull. The relationships with the Empirical Mode Decomposition (EMD), the curvature motion-based scale-space and some operators from mathematical morphology, are studied. Finally, we address the problem of additive image/signal decomposition in fluorescence video-microscopy. An image sequence is mainly considered as a collection of 1D temporal signals, each pixel being associated with its temporal intensity variation.

Original language	English
Title of host publication	Scale Space and Variational Methods in Computer Vision - Second International Conference, SSVM 2009, Proceedings
Pages	770-781
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-02256-2_64
Publication status	Published - 27 Aug 2009
Event	2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2009 - Voss, Norway Duration: 1 Jun 2009 → 5 Jun 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5567 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2009
Country/Territory	Norway
City	Voss
Period	1/06/09 → 5/06/09

Access to Document

10.1007/978-3-642-02256-2_64

Cite this

Chessel, A., Cinquin, B., Bardin, S., Salamero, J., & Kervrann, C. (2009). Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging. In Scale Space and Variational Methods in Computer Vision - Second International Conference, SSVM 2009, Proceedings (pp. 770-781). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5567 LNCS). https://doi.org/10.1007/978-3-642-02256-2_64

Chessel, Anatole ; Cinquin, Bertrand ; Bardin, Sabine et al. / Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging. Scale Space and Variational Methods in Computer Vision - Second International Conference, SSVM 2009, Proceedings. 2009. pp. 770-781 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging",

abstract = "In this paper a framework for defining scale-spaces, based on the computational geometry concepts of α-shapes, is proposed. In this approach, objects (curves or surfaces) of increasing convexity are computed by selective sub-sampling, from the original shape to its convex hull. The relationships with the Empirical Mode Decomposition (EMD), the curvature motion-based scale-space and some operators from mathematical morphology, are studied. Finally, we address the problem of additive image/signal decomposition in fluorescence video-microscopy. An image sequence is mainly considered as a collection of 1D temporal signals, each pixel being associated with its temporal intensity variation.",

author = "Anatole Chessel and Bertrand Cinquin and Sabine Bardin and Jean Salamero and Charles Kervrann",

year = "2009",

month = aug,

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doi = "10.1007/978-3-642-02256-2\_64",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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note = "2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2009 ; Conference date: 01-06-2009 Through 05-06-2009",

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Chessel, A, Cinquin, B, Bardin, S, Salamero, J & Kervrann, C 2009, Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging. in Scale Space and Variational Methods in Computer Vision - Second International Conference, SSVM 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5567 LNCS, pp. 770-781, 2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2009, Voss, Norway, 1/06/09. https://doi.org/10.1007/978-3-642-02256-2_64

Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging. / Chessel, Anatole; Cinquin, Bertrand; Bardin, Sabine et al.
Scale Space and Variational Methods in Computer Vision - Second International Conference, SSVM 2009, Proceedings. 2009. p. 770-781 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5567 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kervrann, Charles

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DO - 10.1007/978-3-642-02256-2_64

M3 - Conference contribution

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SN - 9783642022555

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Chessel A, Cinquin B, Bardin S, Salamero J, Kervrann C. Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging. In Scale Space and Variational Methods in Computer Vision - Second International Conference, SSVM 2009, Proceedings. 2009. p. 770-781. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-02256-2_64

Computational geometry-based scale-space and modal image decomposition application to light video-microscopy imaging

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