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A Comprehensive study of Enhancement and Segmentation Techniques on Microarray Images

Elavaar Kuzhali S*, Suresh D.S**

* Research Scholar, CIT, VTU Research Centre, Karnataka, India.

** Professor, Channabasaveshwara Institute of Technology, Gubbi, Tumkur, Karnataka, India.

Periodicity:June - August'2015
DOI : https://doi.org/10.26634/jpr.2.2.3568

Abstract

Microarray image enhancement and segmentation procedure are the rudimentary processing steps to obtain high quality image data that would truly reflect the underlying biology in the samples. Robust enhancement and segmentation has been the subject of research for many years, and it is important to understand these crucial steps. Reducing noise from the original image is still a challenging problem. It is important to preserve features like edges and sharp structures for better visualization and further analysis. After denoising, segmentation process is a vital step in microarray image. Selection of suitable algorithm for image segmentation is a very difficult task for a particular type of image although extensive work has been proposed. In this paper, the authors outline fundamental concepts of various existing algorithms, its advantages and limitations for microarray images. These algorithms are classified into various categories and a brief description and analysis of these algorithms is presented. This is an initiative to study, analyze and to provide future direction for research in the areas of microarray enhancement and segmentation techniques.

Keywords

Microarray Image Processing, Filtering and Enhancement Techniques, Segmentation Techniques.

How to Cite this Article?

Kuzhali, S. E., and Suresh, D. S. (2015). A Comprehensive study of Enhancement and Segmentation Techniques on Microarray Images. i-manager’s Journal on Pattern Recognition, 2(2), 46-55. https://doi.org/10.26634/jpr.2.2.3568

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