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Ultima descărcare din IBN: 2017-04-27 08:43 |
Căutarea după subiecte similare conform CZU |
004.93:681.784:612.843 (1) |
Application-oriented computer-based techniques (449) |
Precision mechanisms and instruments (81) |
Physiology. Human and comparative physiology (737) |
SM ISO690:2012 LAZAR, Camelia, ROTARU, Florin, BEJINARIU, Silviu-Ioan, NITA, Cristina Diana, LUCA, Ramona. Optic disc identification methods for retinal
images. In: Computer Science Journal of Moldova, 2014, nr. 2(65), pp. 186-210. ISSN 1561-4042. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Computer Science Journal of Moldova | ||||||
Numărul 2(65) / 2014 / ISSN 1561-4042 /ISSNe 2587-4330 | ||||||
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CZU: 004.93:681.784:612.843 | ||||||
Pag. 186-210 | ||||||
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Rezumat | ||||||
Presented are the methods proposed by authors to identify and model the optic disc in colour retinal images. The first three
our approaches localized the optic disc in two steps: a) in the
green component of RGB image the optic disc area is detected based on texture indicators and pixel intensity variance analysis;
b) on the segmented area the optic disc edges are extracted and
the resulted boundary is approximated by a Hough transform. The last implemented method identifies the optic disc area by analysis of blood vessels network extracted in the green channel of the original image. In the segmented area the optic disc edges are
obtained by an iterative Canny algorithm and are approximated
by a circle Hough transform. |
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Cuvinte-cheie optic disc, retinal images, vessel segmentation, Hough transform |
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