Vector median root signals determination for cDNA microarray image segmentation

Authors:
Rastislav Lukac;Konstantinos N. Plataniotis
Affiliations:
The Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering, University of Toronto, Toronto, Canada;The Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

Citing 3
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Abstract

This paper presents a new cDNA microarray image segmentation framework. The framework uses robust vector median filtering to generate a root sigLnal which is an image obtained from the input by repeatedly filtering it until no more changes occur. During the convergence to the root signal, the framework classifies the cDNA image data as either microarray spots or image background, and ideally separates the regular spots from the background. Thus, the obtained root signal represents the segmented microarray image. In addition, the framework excellently removes noise present in the cDNA microarray images and normalizes spots' intensities.