Blood Vessel Segmentation in Video-Sequences From the Human Retina

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110820" target="_blank" >RIV/00216305:26220/14:PU110820 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IST.2014.6958459" target="_blank" >http://dx.doi.org/10.1109/IST.2014.6958459</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IST.2014.6958459" target="_blank" >10.1109/IST.2014.6958459</a>

Result language
angličtina
Original language name
Blood Vessel Segmentation in Video-Sequences From the Human Retina
Original language description
This paper deals with the retinal blood vessel segmentation in fundus video-sequences acquired by experimental fundus video camera. Quality of acquired video-sequences is relatively low and fluctuates across particular frames. Especially, due to the low resolution, poor signal-to-noise ratio, and varying illumination conditions within the frames, application of standard image processing methods might be difficult in such experimental fundus images. In this study, we tried two methods for the segmentation of retinal vessels – matched filtering and Hessian-based approach, originally developed for vessel segmentation in standard fundus images. We showed that modified versions of these two approaches, combined with support vector machine (SVM), can be used also for segmentation in experimental low-quality fundus video-sequences. The SVM classifier trained and consecutively tested on the database of high-resolution images achieved classification accuracy over 94 % and thus revealed a possible applicability of the proposed method on low-quality data. Then, testing on low-quality video-sequences revealed sufficiently large reliability in term of segmentation stability within the sequence with the inter-frame variability in image quality.
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings
ISBN
978-1-4799-6748-3
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
129-133
Publisher name
IEEE
Place of publication
Santorini, Greece
Event location
Thira, Santorini, Greece
Event date
Oct 14, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)