Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization

Laurence Pap; Ju Jia Zou; Eryk Dutkiewicz; Y. Jay Guo

Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization

Laurence Pap, Ju Jia Zou, Eryk Dutkiewicz, Y. Jay Guo

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

![CDATA[In this paper, a new image enhancement method for DNA microarray images, namely the Conditional Convolution Sub-block Histogram Equalization (CCSHE), is presented. This is accomplished by first, converting the image into a binary image using the histogram transformation function. By doing this, the background and some of the artifacts in the image are separated from the DNA microarray spots. Secondly, this method also applies a conditional convolution filter depending on two input values which control how many times two individual convolution kernels are applied. By performing these operations, the unwanted signals known as artifacts are reduced, providing a more accurate gridding result.]]

Original language	English
Title of host publication	ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia
Publisher	IEEE Press
Number of pages	6
ISBN (Print)	1424409772
Publication status	Published - 2007
Event	International Symposium on Communications and Information Technologies - Duration: 2 Oct 2012 → …

Conference

Conference	International Symposium on Communications and Information Technologies
Period	2/10/12 → …

Keywords

convolutions (mathematics)
artifacts
Conditional Convolution Sub-block Histogram Equalization
DNA microarrays
gridding
algorithms

Cite this

@inproceedings{9f20c7c5784b4780a56a2c57514a1394,

title = "Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization",

abstract = "![CDATA[In this paper, a new image enhancement method for DNA microarray images, namely the Conditional Convolution Sub-block Histogram Equalization (CCSHE), is presented. This is accomplished by first, converting the image into a binary image using the histogram transformation function. By doing this, the background and some of the artifacts in the image are separated from the DNA microarray spots. Secondly, this method also applies a conditional convolution filter depending on two input values which control how many times two individual convolution kernels are applied. By performing these operations, the unwanted signals known as artifacts are reduced, providing a more accurate gridding result.]]",

keywords = "convolutions (mathematics), artifacts, Conditional Convolution Sub-block Histogram Equalization, DNA microarrays, gridding, algorithms",

author = "Laurence Pap and Zou, {Ju Jia} and Eryk Dutkiewicz and Guo, {Y. Jay}",

year = "2007",

language = "English",

isbn = "1424409772",

booktitle = "ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia",

publisher = "IEEE Press",

note = "International Symposium on Communications and Information Technologies ; Conference date: 02-10-2012",

}

Pap, L, Zou, JJ, Dutkiewicz, E & Guo, YJ 2007, Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization. in ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia. IEEE Press, International Symposium on Communications and Information Technologies, 2/10/12.

Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization. / Pap, Laurence; Zou, Ju Jia; Dutkiewicz, Eryk et al.
ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia. IEEE Press, 2007.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization

AU - Pap, Laurence

AU - Zou, Ju Jia

AU - Dutkiewicz, Eryk

AU - Guo, Y. Jay

PY - 2007

Y1 - 2007

N2 - ![CDATA[In this paper, a new image enhancement method for DNA microarray images, namely the Conditional Convolution Sub-block Histogram Equalization (CCSHE), is presented. This is accomplished by first, converting the image into a binary image using the histogram transformation function. By doing this, the background and some of the artifacts in the image are separated from the DNA microarray spots. Secondly, this method also applies a conditional convolution filter depending on two input values which control how many times two individual convolution kernels are applied. By performing these operations, the unwanted signals known as artifacts are reduced, providing a more accurate gridding result.]]

AB - ![CDATA[In this paper, a new image enhancement method for DNA microarray images, namely the Conditional Convolution Sub-block Histogram Equalization (CCSHE), is presented. This is accomplished by first, converting the image into a binary image using the histogram transformation function. By doing this, the background and some of the artifacts in the image are separated from the DNA microarray spots. Secondly, this method also applies a conditional convolution filter depending on two input values which control how many times two individual convolution kernels are applied. By performing these operations, the unwanted signals known as artifacts are reduced, providing a more accurate gridding result.]]

KW - convolutions (mathematics)

KW - artifacts

KW - Conditional Convolution Sub-block Histogram Equalization

KW - DNA microarrays

KW - gridding

KW - algorithms

UR - http://handle.uws.edu.au:8081/1959.7/45060

M3 - Conference Paper

SN - 1424409772

BT - ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia

PB - IEEE Press

T2 - International Symposium on Communications and Information Technologies

Y2 - 2 October 2012

ER -

Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization

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Keywords

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