Application of wavelet modulus maxima in microarray spots recognition

X. H. Wang; Robert S.H. Istepanian; Yong Hua Song

doi:10.1109/TNB.2003.816230

Application of wavelet modulus maxima in microarray spots recognition

X. H. Wang^*, Robert S.H. Istepanian, Yong Hua Song

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

Abstract

This paper presents a novel approach to recognize the microarray image spots. The approach is based on the detection of wavelet modulus maxima in the microarray images. The detected maxima is actually the contour of the spots and thus the spots are recognized precisely. Then, the intensities within the contour of the spots can be obtained with low error rate. The test results on example image show this is an effective approach, especially for those spots with low intensities.

Original language	English
Pages (from-to)	190-192
Number of pages	3
Journal	IEEE Transactions on Nanobioscience
Volume	2
Issue number	4
DOIs	https://doi.org/10.1109/TNB.2003.816230
Publication status	Published - Dec 2003
Externally published	Yes

Keywords

Images processing denoising
Microarray
Wavelet analysis

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10.1109/TNB.2003.816230

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title = "Application of wavelet modulus maxima in microarray spots recognition",

abstract = "This paper presents a novel approach to recognize the microarray image spots. The approach is based on the detection of wavelet modulus maxima in the microarray images. The detected maxima is actually the contour of the spots and thus the spots are recognized precisely. Then, the intensities within the contour of the spots can be obtained with low error rate. The test results on example image show this is an effective approach, especially for those spots with low intensities.",

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AU - Istepanian, Robert S.H.

AU - Song, Yong Hua

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N2 - This paper presents a novel approach to recognize the microarray image spots. The approach is based on the detection of wavelet modulus maxima in the microarray images. The detected maxima is actually the contour of the spots and thus the spots are recognized precisely. Then, the intensities within the contour of the spots can be obtained with low error rate. The test results on example image show this is an effective approach, especially for those spots with low intensities.

AB - This paper presents a novel approach to recognize the microarray image spots. The approach is based on the detection of wavelet modulus maxima in the microarray images. The detected maxima is actually the contour of the spots and thus the spots are recognized precisely. Then, the intensities within the contour of the spots can be obtained with low error rate. The test results on example image show this is an effective approach, especially for those spots with low intensities.

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KW - Microarray

KW - Wavelet analysis

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Application of wavelet modulus maxima in microarray spots recognition

Abstract

Keywords

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