Improved Vector Median Filtering Algorithm for High Density Impulse Noise Removal in Microarray Images

hari kiran

Improved Vector Median Filtering Algorithm for High Density Impulse Noise Removal in Microarray Images

Dr.J.Harikiran * §

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§ GIT, GITAM University

Improved Vector Median Filtering Algorithm for High Density Impulse Noise Removal in Microarray Images

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Abstract

The digital images are corrupted by impulse noise due to errors generated in camera sensors, analog-to-digital conversion and communication channels. Therefore it is necessary to remove impulse noise in-order to provide further processing such as edge detection, segmentation, pattern recognition etc. Filtering a noisy image, while preserving the image details is one of the most important issues in image processing. In this paper, we propose a new method for impulse noise removal in Microarray images. The proposed iterative algorithm search for the noise-free pixels within a small neighborhood. The noisy pixel is then replaced with the value estimated from the noise-free pixels. The process continues iteratively until all noisy-pixels of the noisy image are filtered. The performance of the proposed method is tested using impulse noise corrupted microarray images. The experimental results show the proposed algorithm can perform significantly better in terms of noise suppression and detail preservation in microarray images than a number of existing nonlinear techniques.

References

1 Cites in Article

Reference Format

1. Mark Schena,Dari Shalon,Ronald Davis,Patrick Brown (1995). Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray. Science, 270(5235), 467-470.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

hari kiran. 1970. "Improved Vector Median Filtering Algorithm for High Density Impulse Noise Removal in Microarray Images". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 2).

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GJCST Volume 12 Issue 2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

image processing Impulse Noise Microarray Noise Removal Vector Median Filter

Classification

GJCST Classification I.4.1

I.4.3

Submission ReceivedApril 13, 2012
Peer Review Double Blind
Handling Editor
Accepted May 2, 2012
Published February 6, 2012

Version of record

v1.2

Issue date

February 6, 2012

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. V.AnjiReddy, J.Vasudevarao (PhD/Dr. count: 1)

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Publish Date: 2012 05, Tue

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