Centroid extraction from Hartmann-Shack images using swarm clustering approach

Yuwono, M; Sepulveda, J; Ardi Handojoseno, AM

Centroid extraction from Hartmann-Shack images using swarm clustering approach

Yuwono, M Sepulveda, J Ardi Handojoseno, AM

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2012, pp. 1446 - 1449
Issue Date:: 2012-12-14

Closed Access

	Filename	Description	Size
	2012000268OK.pdf		4.32 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	Yuwono, M	en_US
dc.contributor.author	Sepulveda, J	en_US
dc.contributor.author	Ardi Handojoseno, AM	en_US
dc.date.issued	2012-12-14	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2012, pp. 1446 - 1449	en_US
dc.identifier.isbn	9781424441198	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23127
dc.description.abstract	Image analysis of Hartmann-Shack Wavefront sensor is practically useful to extract complex refractive aberrations in the retina. However due to noises such as lens glares, reflections, occlusions or extreme aberrations, pinpointing centroid locations of these lenslets prove to be a challenging problem. In this paper we propose a novel automatic extraction of lenslet foci using Rapid Centroid Estimation (RCE) and Artificial Centroid Injection (ACI). Using this method we are able to extract as much as 86% of total lenslets' centroids before injection and 97% of total lenslets' centroids after injection on average based on experimental data on 20 Hartmann-Shack images of off-axis aberration in the human eye. Our technique advantage is that it does not require any prior fine tuning. © 2012 IEEE.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/EMBC.2012.6346212	en_US
dc.subject.mesh	Retina	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Refraction, Ocular	en_US
dc.subject.mesh	Artifacts	en_US
dc.subject.mesh	Cluster Analysis	en_US
dc.subject.mesh	Optometry	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Image Processing, Computer-Assisted	en_US
dc.title	Centroid extraction from Hartmann-Shack images using swarm clustering approach	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	San Diego, California, 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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Image analysis of Hartmann-Shack Wavefront sensor is practically useful to extract complex refractive aberrations in the retina. However due to noises such as lens glares, reflections, occlusions or extreme aberrations, pinpointing centroid locations of these lenslets prove to be a challenging problem. In this paper we propose a novel automatic extraction of lenslet foci using Rapid Centroid Estimation (RCE) and Artificial Centroid Injection (ACI). Using this method we are able to extract as much as 86% of total lenslets' centroids before injection and 97% of total lenslets' centroids after injection on average based on experimental data on 20 Hartmann-Shack images of off-axis aberration in the human eye. Our technique advantage is that it does not require any prior fine tuning. © 2012 IEEE.

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

http://hdl.handle.net/10453/23127