Adaptive noise reduction in microarray images based on the center-weighted vector medians

Rastislav Lukac; Bogdan Smolka; Andrzej Swierniak; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos

doi:10.1007/978-3-540-24669-5_94

Adaptive noise reduction in microarray images based on the center-weighted vector medians

Rastislav Lukac
, Bogdan Smolka
, Andrzej Swierniak
, Konstantinos N. Plataniotis
, Anastasios N. Venetsanopoulos

Slovak Image Processing Center
University of Toronto

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

1 Citation (Scopus)

Abstract

In this paper, we provide a new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing outliers present in microarray images while preserving the spot edges. This paper contains the comparisons of the proposed technique with the standard schemes used in color image filtering, as well as examples of their efficiency when these methods are applied to typical microarray images.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Roman Wyrzykowski, Jack Dongarra, Marcin Paprzycki, Jerzy Wasniewski
Publisher	Springer Verlag
Pages	714-721
Number of pages	8
ISBN (Print)	3540219463, 9783540219460
DOIs	https://doi.org/10.1007/978-3-540-24669-5_94
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3019
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-24669-5_94

Cite this

Lukac, R., Smolka, B., Swierniak, A., Plataniotis, K. N., & Venetsanopoulos, A. N. (2004). Adaptive noise reduction in microarray images based on the center-weighted vector medians. In R. Wyrzykowski, J. Dongarra, M. Paprzycki, & J. Wasniewski (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 714-721). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3019). Springer Verlag. https://doi.org/10.1007/978-3-540-24669-5_94

Lukac, Rastislav ; Smolka, Bogdan ; Swierniak, Andrzej et al. / Adaptive noise reduction in microarray images based on the center-weighted vector medians. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Roman Wyrzykowski ; Jack Dongarra ; Marcin Paprzycki ; Jerzy Wasniewski. Springer Verlag, 2004. pp. 714-721 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, we provide a new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing outliers present in microarray images while preserving the spot edges. This paper contains the comparisons of the proposed technique with the standard schemes used in color image filtering, as well as examples of their efficiency when these methods are applied to typical microarray images.",

author = "Rastislav Lukac and Bogdan Smolka and Andrzej Swierniak and Plataniotis, \{Konstantinos N.\} and Venetsanopoulos, \{Anastasios N.\}",

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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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Lukac, R, Smolka, B , Swierniak, A, Plataniotis, KN & Venetsanopoulos, AN 2004, Adaptive noise reduction in microarray images based on the center-weighted vector medians. in R Wyrzykowski, J Dongarra, M Paprzycki & J Wasniewski (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. 3019, Springer Verlag, pp. 714-721. https://doi.org/10.1007/978-3-540-24669-5_94

Adaptive noise reduction in microarray images based on the center-weighted vector medians. / Lukac, Rastislav; Smolka, Bogdan ; Swierniak, Andrzej et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Roman Wyrzykowski; Jack Dongarra; Marcin Paprzycki; Jerzy Wasniewski. Springer Verlag, 2004. p. 714-721 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3019).

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

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AU - Lukac, Rastislav

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AU - Venetsanopoulos, Anastasios N.

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Lukac R, Smolka B , Swierniak A, Plataniotis KN, Venetsanopoulos AN. Adaptive noise reduction in microarray images based on the center-weighted vector medians. In Wyrzykowski R, Dongarra J, Paprzycki M, Wasniewski J, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 714-721. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24669-5_94

Adaptive noise reduction in microarray images based on the center-weighted vector medians

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