Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells
dc.contributor.author | Bilodeau, Gregory Peter | en |
dc.contributor.committeechair | Egyhazy, Csaba J. | en |
dc.contributor.committeemember | Kulczycki, Gregory W. | en |
dc.contributor.committeemember | Chen, Ing-Ray | en |
dc.contributor.department | Computer Science | en |
dc.date.accessioned | 2013-07-26T08:00:12Z | en |
dc.date.available | 2013-07-26T08:00:12Z | en |
dc.date.issued | 2013-07-25 | en |
dc.description.abstract | This paper provides a fully automated method of finding high-quality seed points in 3D space from a stack of images of neuron cells. These seed points may then be used as initial starting points for automated local tracing algorithms, removing a time consuming required user interaction in current methodologies. Methods to collapse the search space and provide rudimentary topology estimates are also presented. | en |
dc.description.degree | Master of Science | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:315 | en |
dc.identifier.uri | http://hdl.handle.net/10919/23328 | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Neuron tracing | en |
dc.subject | DIADEM | en |
dc.subject | image analysis | en |
dc.title | Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells | en |
dc.type | Thesis | en |
thesis.degree.discipline | Computer Science and Applications | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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