Analysis and CDNA Microarray Image Segmentation Based on Hough Circle Transform
T. Srinivas Reddy
Dr. T. Srinivas Reddy, Associate Professor, Department of ECE, Malla Reddy Engineering College Autonomous, Hyderabad (Telangana), India.
Manuscript received on 06 February 2019 | Revised Manuscript received on 28 March 2019 | Manuscript Published on 28 April 2019 | PP: 53-55 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10140275C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The investigation of cDNA microarray image involves of several steps; gridding, segmentation, and quantification that can meaningfully reduce the quality of gene expression data, and henceforth decrease our self-reliance in any derived research consequences. Circular Hough Transformation (CHT) is a powerful feature extraction system used in image analysis, computer vision, and digital image processing. CHT algorithm is applied on the cDNA microarray images to progress the exactness and the efficiency of the spots localization, addressing and segmentation process. Thus, microarray data processing steps turn out to be serious for execution of optimal microarray data analysis and developing assured biological data from microarray images. Segmentation is the method, by which each distinct cell in the grid must be cautiously selected to define the spot indication and to estimate the background hybridization. In this paper, a suggested segmentation method is explored, “Adaptive Form Segmentation”.
Keywords: Hough Circle Transformation, cDNA Microarray Image Analysis, cDNA Microarray Image Segmentation, Spots Localization.
Scope of the Article: Image Security