{"id":{"repo_id":"uts","oai_identifier":"oai:opus.lib.uts.edu.au:10453/20059"},"canonical_url":"https://search.dev.ndltd.org/etd/uts/oai:opus.lib.uts.edu.au:10453/20059","repository":{"repo_id":"uts","name":"University of Technology Sydney","base_url":"https://opus.lib.uts.edu.au/oai/request"},"display":{"title":"Spiral architecture for machine vision","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":[],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Sheridan, Phillip"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1996,"date_issued":"1996","date_published":"1996","updated_at":"2026-07-24T06:32:12Z","subjects":["Computer vision.","Pattern recognition."],"languages":["en_AU","en"],"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"],"rights_urls":["http://www.lib.uts.edu.au/disclaimer.html"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10453/20059","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sheridan, Phillip"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2007-03-14T01:52:56Z","2012-12-15T03:51:52Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2007-03-14T01:52:56Z","2012-12-15T03:51:52Z"]},{"key":"dc:date.issued","label":"Date","values":["1996"]},{"key":"dc:relation","label":"Dc Relation","values":["https://opus.lib.uts.edu.au/bitstream/10453/20059/11/02Whole.pdf"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computer vision.","Pattern recognition."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["en_AU"]},{"key":"dc:rights","label":"Dc Rights","values":["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.","http://www.lib.uts.edu.au/disclaimer.html","Copyright Phillip Sheridan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10453/20059"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["University of Technology, Sydney. School of Computing Sciences."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:format","label":"Dc Format","values":["Thesis (PhD)"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Spiral architecture for machine vision"]}]}],"canonical_facts":{"dc:contributor":["Sheridan, Phillip"],"dc:date.accessioned":["2007-03-14T01:52:56Z","2012-12-15T03:51:52Z"],"dc:date.available":["2007-03-14T01:52:56Z","2012-12-15T03:51:52Z"],"dc:date.issued":["1996"],"dc:description":["University of Technology, Sydney. School of Computing Sciences."],"dc:description.abstract":["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."],"dc:format":["Thesis (PhD)"],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/10453/20059"],"dc:language":["en"],"dc:language.iso":["en_AU"],"dc:relation":["https://opus.lib.uts.edu.au/bitstream/10453/20059/11/02Whole.pdf"],"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.","http://www.lib.uts.edu.au/disclaimer.html","Copyright Phillip Sheridan"],"dc:subject":["Computer vision.","Pattern recognition."],"dc:title":["Spiral architecture for machine vision"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T06:32:12Z"}