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BIBE
2009
IEEE
135views Bioinformatics» more  BIBE 2009»
13 years 5 months ago
Vascular Tree Construction with Anatomical Realism for Retinal Images
In this paper, we present a method to automatically extract the vessel segments and construct the vascular tree with anatomical realism from a color retinal image. The significanc...
Kai-Shung Lin, Chia-Ling Tsai, Michal Sofka, Chih-...
ICPR
2010
IEEE
13 years 5 months ago
Automatic Attribute Threshold Selection for Blood Vessel Enhancement
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly desirable properties in bi...
Fred N. Kiwanuka, Michael H. F. Wilkinson
MICCAI
2006
Springer
14 years 8 months ago
Multi-resolution Vessel Segmentation Using Normalized Cuts in Retinal Images
Abstract. Retinal vessel segmentation is an essential step of the diagnoses of various eye diseases. In this paper, we propose an automatic, efficient and unsupervised method based...
Wenchao Cai, Albert C. S. Chung
ICPR
2002
IEEE
14 years 8 months ago
Comparison of Colour Spaces for Optic Disc Localisation in Retinal Images
The location of the optic disc is of critical importance in retinal image analysis. In this work we improve on an approach introduced in [3] who localised an optic disc region thr...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
CVPR
2006
IEEE
13 years 9 months ago
3-D Shape Reconstruction of Retinal Fundus
We present a method for 3-D shape reconstruction of retinal fundus from fluorescein images. Our method extracts the location of vessels' bifurcation as a reliable feature for...
Tae Eun Choe, Isaac Cohen, Gérard G. Medion...