Concurrent edge detection with Spiral Architecture on Linux

Hu, Q; He, X; Wu, Q

Concurrent edge detection with Spiral Architecture on Linux

Hu, Q He, X

Wu, Q

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Publication Type:: Conference Proceeding
Citation:: Proceedings ITCC 2003, International Conference on Information Technology: Computers and Communications, 2003, pp. 524 - 528
Issue Date:: 2003-01-01

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Field	Value	Language
dc.contributor.author	Hu, Q	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.date.issued	2003-01-01	en_US
dc.identifier.citation	Proceedings ITCC 2003, International Conference on Information Technology: Computers and Communications, 2003, pp. 524 - 528	en_US
dc.identifier.isbn	0769519164	en_US
dc.identifier.isbn	9780769519166	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2491
dc.description.abstract	© 2003 IEEE. Edge detection is an essential tool in image analysis. It is a process of identifying significant discontinuities in light intensities in order to form an outline of the object of interest. Spiral Architecture provides powerful computational power as a method of image data representation. Gaussian multi-scale theory was employed as the mathematical model for edge detection. The parallel processing algorithm was implemented in the form of a master-slave model. Spiral Architecture enables an image to be uniformly partitioned and distributed to slave processors after spiral multiplication. Concurrent processing is facilitated by inter-process communication and socket interface programming tools of Linux operating system.	en_US
dc.relation.ispartof	Proceedings ITCC 2003, International Conference on Information Technology: Computers and Communications	en_US
dc.relation.isbasedon	10.1109/ITCC.2003.1197584	en_US
dc.title	Concurrent edge detection with Spiral Architecture on Linux	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
dc.location.activity	Las Vegas, USA	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/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2003 IEEE. Edge detection is an essential tool in image analysis. It is a process of identifying significant discontinuities in light intensities in order to form an outline of the object of interest. Spiral Architecture provides powerful computational power as a method of image data representation. Gaussian multi-scale theory was employed as the mathematical model for edge detection. The parallel processing algorithm was implemented in the form of a master-slave model. Spiral Architecture enables an image to be uniformly partitioned and distributed to slave processors after spiral multiplication. Concurrent processing is facilitated by inter-process communication and socket interface programming tools of Linux operating system.

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http://hdl.handle.net/10453/2491