dc.contributor.advisor |
Coghill, G. |
en |
dc.contributor.advisor |
Creak, A. |
en |
dc.contributor.author |
Stucke, Tim J |
en |
dc.date.accessioned |
2020-07-08T05:00:50Z |
en |
dc.date.available |
2020-07-08T05:00:50Z |
en |
dc.date.issued |
1994 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/52219 |
en |
dc.description |
Full text is available to authenticated members of The University of Auckland only. |
en |
dc.description.abstract |
A system with some variations is presented for extracting multiple 2D target structures from one or more grey-scale sensory images of objects. In particular, the objects may be naturally variable and in a cluttered scene. These systems learn about their target populations of images of objects and the associated target output structures during a training phase. The proposed models are based on neural networks and cellular local processing methods, resulting in a massively parallel computing paradigm. The system presented includes a novel architecture and training approach for training cellular machines to solve complex and poorly understood problems with ease. The models perform their function using an iterative short-time relaxation labelling scheme. Various examples are presented including basic "toy" examples for noise suppression, structure extraction, filling and object separation. Also, some examples of structure extraction of a population of naturally variable objects are presented. |
en |
dc.publisher |
ResearchSpace@Auckland |
en |
dc.relation.ispartof |
PhD Thesis - University of Auckland |
en |
dc.relation.isreferencedby |
UoA9975427614002091 |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. |
en |
dc.rights |
Restricted Item. Full text is available to authenticated members of The University of Auckland only. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
The mind's eye : seeing structured multiform objects |
en |
dc.type |
Thesis |
en |
thesis.degree.discipline |
Electrical and Electronic Engineering |
en |
thesis.degree.grantor |
The University of Auckland |
en |
thesis.degree.level |
Doctoral |
en |
thesis.degree.name |
PhD |
en |
dc.rights.holder |
Copyright: The author |
en |
dc.identifier.wikidata |
Q112854330 |
|