Technical Investigation, Analysis and cDNA Microarray Image Segmentation Based on Hough Circle Transform

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 critical for performing optimal microarray data analysis and deriving eloquent biological data from microarray images. Segmentation is the procedure, by which each individual cell in the grid must be carefully chosen to define the spot signal and to assessment the background hybridization. In this paper, a proposed segmentation method is reconnoitered, “Adaptive Shape Segmentation”.

Author(s) Details

 Dr. T. Srinivas Reddy
Department of ECE, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India.

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