Repository logo
 
Publication

Optic disc detection using ant colony optimization

dc.contributor.authorDias, Marcy Carolina de Abreu
dc.contributor.authorMonteiro, Fernando C.
dc.date.accessioned2014-10-13T14:24:22Z
dc.date.available2014-10-13T14:24:22Z
dc.date.issued2012
dc.description.abstractThe retinal fundus images are used in the treatment and diagnosis of several eye diseases, such as diabetic retinopathy and glaucoma. This paper proposes a new method to detect the optic disc (OD) automatically, due to the fact that the knowledge of the OD location is essential to the automatic analysis of retinal images. Ant Colony Optimization (ACO) is an optimization algorithm inspired by the foraging behaviour of some ant species that has been applied in image processing for edge detection. Recently, the ACO was used in fundus images to detect edges, and therefore, to segment the OD and other anatomical retinal structures. We present an algorithm for the detection of OD in the retina which takes advantage of the Gabor wavelet transform, entropy and ACO algorithm. Forty images of the retina from DRIVE database were used to evaluate the performance of our method.por
dc.identifier.citationDias, Marcy; Monteiro, Fernando C. (2012). Optic disc detection using ant colony optimization. In International Conference of Numerical Analysis and Applied Mathematics, ICNAAM. Kos - Greece. 1479, p.798-801. ISBN 978-073541091-6por
dc.identifier.doi10.1063/1.4756258
dc.identifier.isbn978-073541091-6
dc.identifier.urihttp://hdl.handle.net/10198/10805
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectAnt colony optimizationpor
dc.subjectEntropypor
dc.subjectGabor wavelet transformpor
dc.subjectOptic disc detectionpor
dc.subjectRetinal imagespor
dc.titleOptic disc detection using ant colony optimizationpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceKos - Greecepor
oaire.citation.endPage801por
oaire.citation.startPage798por
oaire.citation.titleInternational Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2012por
oaire.citation.volume1479por
person.familyNameMonteiro
person.givenNameFernando C.
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.orcid0000-0002-1421-8006
person.identifier.ridH-9213-2016
person.identifier.scopus-author-id8986162600
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication.latestForDiscovery363b6c37-282c-4cd6-bb54-3c97cc700d78

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
798_1.pdf
Size:
169.15 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: