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Markov Random Field Based Model In Spatial Domain for Denoising of Microarray Images

Priya Nandihal1 , Vandana S.Bhat2 , Jagadeesh D. Pujari3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 324-328, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.324328

Online published on Sep 30, 2018

Copyright © Priya Nandihal, Vandana S.Bhat, Jagadeesh D. Pujari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Priya Nandihal, Vandana S.Bhat, Jagadeesh D. Pujari, “Markov Random Field Based Model In Spatial Domain for Denoising of Microarray Images,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.324-328, 2018.

MLA Style Citation: Priya Nandihal, Vandana S.Bhat, Jagadeesh D. Pujari "Markov Random Field Based Model In Spatial Domain for Denoising of Microarray Images." International Journal of Computer Sciences and Engineering 6.9 (2018): 324-328.

APA Style Citation: Priya Nandihal, Vandana S.Bhat, Jagadeesh D. Pujari, (2018). Markov Random Field Based Model In Spatial Domain for Denoising of Microarray Images. International Journal of Computer Sciences and Engineering, 6(9), 324-328.

BibTex Style Citation:
@article{Nandihal_2018,
author = {Priya Nandihal, Vandana S.Bhat, Jagadeesh D. Pujari},
title = {Markov Random Field Based Model In Spatial Domain for Denoising of Microarray Images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {324-328},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2867},
doi = {https://doi.org/10.26438/ijcse/v6i9.324328}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.324328}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2867
TI - Markov Random Field Based Model In Spatial Domain for Denoising of Microarray Images
T2 - International Journal of Computer Sciences and Engineering
AU - Priya Nandihal, Vandana S.Bhat, Jagadeesh D. Pujari
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 324-328
IS - 9
VL - 6
SN - 2347-2693
ER -

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Abstract

Bioinformatics research is an active area of research that employs DNA microarray technology as a very important tool. Microarray gene expression is acquired through microarray technology in order to monitor the expression of genes under different conditions. Denoising is a major pre-processing step in DNA microarray images. This paper proposes a new spatial denoising technique in spatial domain for DNA microarray image. The method exploits Markov Random Field (MRF) model to reduce the noise in microarray images. Two algorithms developed in this work are Denoising using MRF (DMRF) and Determination of Optimized Values (DOV).Different experimental results and analysis demonstrate the performance of the proposed method with existing methods using various performance metrics.

Key-Words / Index Term

Spatial Filtering, Markov Random Field, Energy function, Non-linear Optimization, Performance Metrics

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