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CVPR
2012
IEEE
11 years 7 months ago
Robust non-rigid registration of 2D and 3D graphs
We present a new approach to matching graphs embedded in R2 or R3 . Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not req...
Eduard Serradell, Przemyslaw Glowacki, Jan Kybic, ...
CAIP
2011
Springer
253views Image Analysis» more  CAIP 2011»
12 years 4 months ago
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters
Abstract. The detection of vascular bifurcations in retinal fundus images is important for finding signs of various cardiovascular diseases. We propose a novel method to detect su...
George Azzopardi, Nicolai Petkov
ICVGIP
2004
13 years 6 months ago
3D Reconstruction of Retinal Blood Vessels from Two Views
A 3D reconstruction of retinal blood vessel trees using two views of fundus images is presented. The problem addresses: 1) The recovery of camera-eye model parameters by an self-c...
M. Elena Martínez-Pérez, Arturo Espi...
MVA
2007
162views Computer Vision» more  MVA 2007»
13 years 6 months ago
Detection of Fundus Lesions Using Classifier Selection
A system for detecting fundus lesions caused by diabetic retinopathy from fundus images is being developed. The system can screen the images in advance in order to reduce the insp...
Hiroto Nagayoshi, Yoshitaka Hiramatsu, Hiroshi Sak...
ICCV
2003
IEEE
13 years 9 months ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape
ICIP
2008
IEEE
14 years 6 months ago
Appearance-based object detection in colour retinal images
Extraction of anatomical structures (landmarks), such as optic disk (OD), fovea and blood vessels, from fundus images is useful in automatic diagnosis. Current approaches largely ...
Jeetinder Singh, Gopal Datt Joshi, Jayanthi Sivasw...
CVPR
2009
IEEE
14 years 11 months ago
Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images
Automated detection of lesions in retinal images can assist in early diagnosis and screening of a common disease: Diabetic Retinopathy. A robust and computationally efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...