Sclera vessel pattern synthesis based on a non-parametric texture synthesis technique

Das, A; Mondal, P; Pal, U; Blumenstein, M; Ferrer, MA

Sclera vessel pattern synthesis based on a non-parametric texture synthesis technique

Das, A Mondal, P Pal, U Blumenstein, M

Ferrer, MA

Permalink

Publication Type:: Conference Proceeding
Citation:: Advances in Intelligent Systems and Computing, 2017, 460 AISC pp. 241 - 250
Issue Date:: 2017-01-01

Closed Access

	Filename	Description	Size
	cvip2016_paper_191_RESIZED.pdf	Published version	1.03 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Das, A	en_US
dc.contributor.author	Mondal, P	en_US
dc.contributor.author	Pal, U	en_US
dc.contributor.author	Blumenstein, M https://orcid.org/0000-0002-9908-3744	en_US
dc.contributor.author	Ferrer, MA	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Advances in Intelligent Systems and Computing, 2017, 460 AISC pp. 241 - 250	en_US
dc.identifier.isbn	9789811021060	en_US
dc.identifier.issn	2194-5357	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127466
dc.description.abstract	© Springer Science+Business Media Singapore 2017. This work proposes a sclera vessel texture pattern synthesis technique. Sclera texture was synthesized by a non-parametric based texture regeneration technique. A small number of classes from the UBIRIS version: 1 dataset was employed as primitive images. An appreciable result was achieved which solicits the successful synthesis of sclera texture patterns. It is difficult to get a huge collection real sclera data and hence such synthetic data will be useful to the researchers.	en_US
dc.relation.ispartof	Advances in Intelligent Systems and Computing	en_US
dc.relation.isbasedon	10.1007/978-981-10-2107-7_22	en_US
dc.title	Sclera vessel pattern synthesis based on a non-parametric texture synthesis technique	en_US
dc.type	Conference Proceeding
utslib.citation.volume	460 AISC	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	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/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	460 AISC	en_US

Abstract:

© Springer Science+Business Media Singapore 2017. This work proposes a sclera vessel texture pattern synthesis technique. Sclera texture was synthesized by a non-parametric based texture regeneration technique. A small number of classes from the UBIRIS version: 1 dataset was employed as primitive images. An appreciable result was achieved which solicits the successful synthesis of sclera texture patterns. It is difficult to get a huge collection real sclera data and hence such synthetic data will be useful to the researchers.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/127466