Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
ODSTRČILÍK, J. KOLÁŘ, R. JAN, J. TORNOW, R. BUDAI, A.
Originální název
Blood Vessel Segmentation in Video-Sequences From the Human Retina
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
fundus; retina; blood vessel segmentation; image processing; video processing
Autoři
ODSTRČILÍK, J.; KOLÁŘ, R.; JAN, J.; TORNOW, R.; BUDAI, A.
Rok RIV
2014
Vydáno
14. 10. 2014
Nakladatel
IEEE
Místo
Santorini, Greece
ISBN
978-1-4799-6748-3
Kniha
2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings
Strany od
129
Strany do
133
Strany počet
5
BibTex
@inproceedings{BUT109954, author="Jan {Odstrčilík} and Radim {Kolář} and Jiří {Jan} and Ralf-Peter {Tornow} and Attila {Budai}", title="Blood Vessel Segmentation in Video-Sequences From the Human Retina", booktitle="2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings", year="2014", pages="129--133", publisher="IEEE", address="Santorini, Greece", doi="10.1109/IST.2014.6958459", isbn="978-1-4799-6748-3" }