Spiral architecture for machine vision

This thesis presents a new and powerful approach to the development of a general purpose machine vision system. The approach is inspired from anatomical considerations of the primate's vision system. The geometrical arrangement of cones on a primate's retina can be described in terms of a hexagonal grid. The importance of the hexagonal grid is that it possesses special computational features that are pertinent to the vision process. The fundamental thrust of this thesis emanates from the observation that this hexagonal grid can be described in terms of the mathematical object known as a Euclidean ring. The Euclidean ring is employed to generate an algebra of linear transformations which are appropriate for the processing of multidimensional vision data. A parallel autonomous segmentation algorithm for multidimensional vision data is described. The algebra and segmentation algorithm are implemented on a network of transputers. The implementation is discussed in the context of the outline of a general purpose machine vision system's design.

Contributors dc:contributor

• Sheridan, Phillip

• Computer vision.
• Pattern recognition.

Statement dc:rights

• info:eu-repo/semantics/openAccess
• au.edu.uts.lib/ppc
• The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
• Copyright Phillip Sheridan

Licence

• http://www.lib.uts.edu.au/disclaimer.html

Language dc:language.iso

en_AU, en

Handle dc:identifier.uri

http://hdl.handle.net/10453/20059

OAI identifier oai:identifier

oai:opus.lib.uts.edu.au:10453/20059