Hexagonal structure for intelligent vision

He, X; Jia, W

Hexagonal structure for intelligent vision

He, X

Jia, W

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Publication Type:: Conference Proceeding
Citation:: Proceedings of 1st International Conference on Information and Communication Technology, ICICT 2005, 2005, 2005 pp. 52 - 64
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Jia, W https://orcid.org/0000-0002-0940-3338	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Proceedings of 1st International Conference on Information and Communication Technology, ICICT 2005, 2005, 2005 pp. 52 - 64	en_US
dc.identifier.isbn	0780394216	en_US
dc.identifier.isbn	9780780394216	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2661
dc.description.abstract	Using hexagonal grids to represent digital images have been studied for more than 40 years. Increased processing capabilities of graphic devices and recent improvements in CCD technology have made hexagonal sampling attractive for practical applications and brought new interests on this topic. The hexagonal structure is considered to be preferable to the rectangular structure due to its higher sampling efficiency, consistent connectivity and higher angular resolution and is even proved to be superior to square structure in many applications. Since there is no mature hardware for hexagonal-based image capture and display, square to hexagonal image conversion has to be done before hexagonal-based image processing. Although hexagonal image representation and storage has not yet come to a standard, experiments based on existing hexagonal coordinate systems have never ceased. In this paper, we firstly introduced general reasons that hexagonally sampled images are chosen for research. Then, typical hexagonal coordinates and addressing schemes, as well as hexagonal based image processing and applications, are fully reviewed. © 2005 IEEE.	en_US
dc.relation.ispartof	Proceedings of 1st International Conference on Information and Communication Technology, ICICT 2005	en_US
dc.relation.isbasedon	10.1109/ICICT.2005.1598543	en_US
dc.title	Hexagonal structure for intelligent vision	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2005	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Karachi, Pakistan	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
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2005	en_US

Abstract:

Using hexagonal grids to represent digital images have been studied for more than 40 years. Increased processing capabilities of graphic devices and recent improvements in CCD technology have made hexagonal sampling attractive for practical applications and brought new interests on this topic. The hexagonal structure is considered to be preferable to the rectangular structure due to its higher sampling efficiency, consistent connectivity and higher angular resolution and is even proved to be superior to square structure in many applications. Since there is no mature hardware for hexagonal-based image capture and display, square to hexagonal image conversion has to be done before hexagonal-based image processing. Although hexagonal image representation and storage has not yet come to a standard, experiments based on existing hexagonal coordinate systems have never ceased. In this paper, we firstly introduced general reasons that hexagonally sampled images are chosen for research. Then, typical hexagonal coordinates and addressing schemes, as well as hexagonal based image processing and applications, are fully reviewed. © 2005 IEEE.

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http://hdl.handle.net/10453/2661