A multistage image segmentation and denoising method - based on the mumford and shah variational approach

Song Gao; Tien D. Bui

doi:10.1007/978-3-540-30125-7_11

A multistage image segmentation and denoising method - based on the mumford and shah variational approach

Song Gao, Tien D. Bui

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

A new multistage segmentation and smoothing method based on the active contour model and the level set numerical techniques is presented in this paper. Instead of simultaneous segmentation and smoothing as in [10], [11], the proposed method separates the segmentation and smoothing processes. We use the piecewise constant approximation for segmentation and the diffusion equation for denoising, therefore the new method speeds up the segmentation process significantly, and it can remove noise and protect edges for images with very large amount of noise. The effects of the model parameter v are also systematically studied in this paper.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Aurelio Campilho, Mohamed Kamel
Publisher	Springer Verlag
Pages	82-89
Number of pages	8
ISBN (Print)	3540232230, 9783540232230
DOIs	https://doi.org/10.1007/978-3-540-30125-7_11
State	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3211
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-30125-7_11

Cite this

Gao, S., & Bui, T. D. (2004). A multistage image segmentation and denoising method - based on the mumford and shah variational approach. In A. Campilho, & M. Kamel (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 82-89). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3211). Springer Verlag. https://doi.org/10.1007/978-3-540-30125-7_11

A multistage image segmentation and denoising method - based on the mumford and shah variational approach. / Gao, Song; Bui, Tien D.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Aurelio Campilho; Mohamed Kamel. Springer Verlag, 2004. p. 82-89 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3211).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Gao, S & Bui, TD 2004, A multistage image segmentation and denoising method - based on the mumford and shah variational approach. in A Campilho & M Kamel (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3211, Springer Verlag, pp. 82-89. https://doi.org/10.1007/978-3-540-30125-7_11

Gao S, Bui TD. A multistage image segmentation and denoising method - based on the mumford and shah variational approach. In Campilho A, Kamel M, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 82-89. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30125-7_11

Gao, Song ; Bui, Tien D. / A multistage image segmentation and denoising method - based on the mumford and shah variational approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Aurelio Campilho ; Mohamed Kamel. Springer Verlag, 2004. pp. 82-89 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A multistage image segmentation and denoising method - based on the mumford and shah variational approach

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