SEGMENTATION OF MICROARRAY IMAGES USING GRADIENT VECTOR FLOW ACTIVE CONTOURS BOOSTED BY GAUSSIAN MIXTURE MODELS (original) (raw)

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Abstract

In this paper, a new methodology for the segmentation of cDNA microarray images is proposed, based on the combination of Gaussian Mixture Models (GMM) with Gradient Vector Flow (GVF) active contours. A simulated microarray image of 1000 spots was produced using a standard procedure. 5 real microarray images were used to evaluate the performance of our algorithm. GMM was firstly

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