Suvadip Mukherjee

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A segmentation framework is proposed to trace neurons from confocal microscopy images. With an increasing demand for high throughput neuronal image analysis, we propose an automated scheme to perform segmentation in a variational framework. Our segmentation technique, called tubularity flow field (TuFF) performs directional regional growing guided by the(More)
—We propose a novel region based segmentation method capable of segmenting objects in presence of significant intensity variation. Current solutions use some form of local processing to tackle intra-region inhomogeneity, which makes such methods susceptible to local minima. In this letter, we present a framework which generalizes the traditional Chan-Vese(More)
The neuronal content of an organism, the individual morphology of each neuron and the variability of these components constitute the atlas of the neurome. The description of such an atlas will be critical in determining the complex neural system of a given organism, eventually providing clues to how animals think and function. As the organisms under(More)