A multi-scale approach for estimating gradient from volumetric data.

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dc.contributor.authorBelaton, Bahari
dc.date.accessioned2017-08-28T07:19:19Z
dc.date.available2017-08-28T07:19:19Z
dc.date.issued2015
dc.description.abstractGradient is mostly used to approximate a quantity called normal vector, which is widely used in techniques such as raycasting or shading to calculate the shade of a pixel. Central Different Equation (CDE), Forward Difference Equation (FDE) and Backward Difference Equation (BDE) [1] are examples of common finite-difference gradient filters to estimate gradient from discrete data.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/4444
dc.subjectestimatingen_US
dc.subjectmulti-scaleen_US
dc.titleA multi-scale approach for estimating gradient from volumetric data.en_US
dc.typeTechnical Reporten_US
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