BibTeX
@MISC{Srinivasa_activemask,
author = {Gowri Srinivasa},
title = {Active Mask Framework for Segmentation of Fluorescence Microscope Images},
year = {}
}
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Abstract
This thesis presents a new active mask (AM) framework and an algorithm for segmentation of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet difficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together with the concept of
Keyphrases
fluorescence microscope image active mask framework fluorescence microscopy revered sadguru dif-ficult problem complex sys-tems punctate pattern recent year lotus foot stochastic active contour digital image new active mask rada mba mb ix ix rd mb ty rn riv limitless ocean lotus hand first processing step molecular level
