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

Laurence Pap; Ju Jia Zou

doi:10.1109/ISCIT.2007.4392092

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

Laurence Pap, Ju Jia Zou

School of Engineering, Design & Built Environment

Western Sydney University

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

1 Citation (Scopus)

Abstract

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
Pages	618-623
Number of pages	6
DOIs	https://doi.org/10.1109/ISCIT.2007.4392092
Publication status	Published - 2007
Event	ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies - Sydney, Australia Duration: 16 Oct 2007 → 19 Oct 2007

Publication series

Name	ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings

Conference

Conference	ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies
Country/Territory	Australia
City	Sydney
Period	16/10/07 → 19/10/07

Keywords

Contrast enhancement
DNA microarray image enhancement
Histogram equalization

Access to Document

10.1109/ISCIT.2007.4392092

Cite this

Pap, L., & Zou, J. J. (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 (pp. 618-623). Article 4392092 (ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings). https://doi.org/10.1109/ISCIT.2007.4392092

@inproceedings{2d79d03b6a954ecaa5ff8e8a45221eed,

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

abstract = "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 = "Contrast enhancement, DNA microarray image enhancement, Histogram equalization",

author = "Laurence Pap and Zou, {Ju Jia}",

year = "2007",

doi = "10.1109/ISCIT.2007.4392092",

language = "English",

isbn = "1424409772",

series = "ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings",

pages = "618--623",

booktitle = "ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings",

note = "ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies ; Conference date: 16-10-2007 Through 19-10-2007",

}

Pap, L & Zou, JJ 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., 4392092, ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings, pp. 618-623, ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies, Sydney, Australia, 16/10/07. https://doi.org/10.1109/ISCIT.2007.4392092

Image enhancement for DNA microarray gridding using conditional convolution sub-block histogram equalization. / Pap, Laurence; Zou, Ju Jia.
ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings. 2007. p. 618-623 4392092 (ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings).

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

TY - GEN

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

AU - Pap, Laurence

AU - Zou, Ju Jia

PY - 2007

Y1 - 2007

N2 - 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 - 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 - Contrast enhancement

KW - DNA microarray image enhancement

KW - Histogram equalization

UR - http://www.scopus.com/inward/record.url?scp=46749103380&partnerID=8YFLogxK

U2 - 10.1109/ISCIT.2007.4392092

DO - 10.1109/ISCIT.2007.4392092

M3 - Conference Paper

AN - SCOPUS:46749103380

SN - 1424409772

SN - 9781424409778

T3 - ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings

SP - 618

EP - 623

BT - ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings

T2 - ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies

Y2 - 16 October 2007 through 19 October 2007

ER -

Pap L, Zou JJ. 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. 2007. p. 618-623. 4392092. (ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings). doi: 10.1109/ISCIT.2007.4392092

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this