Replicated shared object model for parallel edge detection algorithm based on spiral architecture

He, X; Hintz, T; Szewcow, U

Replicated shared object model for parallel edge detection algorithm based on spiral architecture

He, X

Hintz, T Szewcow, U

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Publication Type:: Journal Article
Citation:: Future Generation Computer Systems, 1998, 14 (5-6), pp. 341 - 350
Issue Date:: 1998-12-01

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Field	Value	Language
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Hintz, T	en_US
dc.contributor.author	Szewcow, U	en_US
dc.date.issued	1998-12-01	en_US
dc.identifier.citation	Future Generation Computer Systems, 1998, 14 (5-6), pp. 341 - 350	en_US
dc.identifier.issn	0167-739X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/18225
dc.description.abstract	Edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as discontinuities in intensities. A parallel edge detection algorithm based on spiral architecture is designed in this paper using a replicated shared object model (RSOM). We use this approach to meet the requirements of replicated object management, update propagation, underlying communication and consistency maintenance among replicated objects. Multi-scale image theory plays an important role in this research. © 1998 Elsevier Science B. V. All rights reserved.	en_US
dc.relation.ispartof	Future Generation Computer Systems	en_US
dc.subject.classification	Distributed Computing	en_US
dc.title	Replicated shared object model for parallel edge detection algorithm based on spiral architecture	en_US
dc.type	Journal Article
utslib.citation.volume	5-6	en_US
utslib.citation.volume	14	en_US
utslib.for	080106 Image Processing	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	ISI:000077969400007	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.issue	5-6	en_US
pubs.publication-status	Published	en_US
pubs.volume	14	en_US

Abstract:

Edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as discontinuities in intensities. A parallel edge detection algorithm based on spiral architecture is designed in this paper using a replicated shared object model (RSOM). We use this approach to meet the requirements of replicated object management, update propagation, underlying communication and consistency maintenance among replicated objects. Multi-scale image theory plays an important role in this research. © 1998 Elsevier Science B. V. All rights reserved.

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http://hdl.handle.net/10453/18225