IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems
Visualization of Fibrous and Thread-like Data
IEEE Transactions on Visualization and Computer Graphics
Identifying, tabulating, and analyzing contacts between branched neuron morphologies
IBM Journal of Research and Development
Journal of Signal Processing Systems
Detection of Retinal Blood Vessels Based on Nonlinear Projections
Journal of Signal Processing Systems
A Statistical Approach for Detecting Tubular Structures in Myocardial Infarct Scars
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Entropy of the Retina Template
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Computer Methods and Programs in Biomedicine
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Maximum likelihood estimation of vessel parameters from scale space analysis
Image and Vision Computing
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Characterisation of Feature Points in Eye Fundus Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An Automatic Hybrid Method for Retinal Blood Vessel Extraction
International Journal of Applied Mathematics and Computer Science - Selected Problems of Computer Science and Control
Model based segmentation for retinal fundus images
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Effects of preprocessing eye fundus images on appearance based glaucoma classification
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Rapid automated detection of roots in minirhizotron images
Machine Vision and Applications
Segmentation-driven 2D-3D registration for abdominal catheter interventions
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Statistical-based linear vessel structure detection in medical images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Extraction of retinal blood vessels by curvelet transform
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Unsupervised Fuzzy Based Vessel Segmentation In Pathological Digital Fundus Images
Journal of Medical Systems
Automatic model-based tracing algorithm for vessel segmentation and diameter estimation
Computer Methods and Programs in Biomedicine
FABC: retinal vessel segmentation using adaboost
IEEE Transactions on Information Technology in Biomedicine
Reconstructing geometrically consistent tree structures from noisy images
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Retinal fundus image registration via vascular structure graph matching
Journal of Biomedical Imaging
Vascular tree segmentation in retinal angiographies: deformable contour model approach
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Accurate image registration for quadrature tomographic microscopy
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Computer Methods and Programs in Biomedicine
Detection of retinal vascular bifurcations by trainable V4-like filters
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
High Performance Adaptive Fidelity Algorithms for Multi-Modality Optic Nerve Head Image Fusion
Journal of Signal Processing Systems
A region based algorithm for vessel detection in retinal images
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Retinal vessel segmentation using a probabilistic tracking method
Pattern Recognition
Computer vision algorithms for retinal image analysis: current results and future directions
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Expert Systems with Applications: An International Journal
Detection of retinal vascular bifurcations by rotation- and scale-invariant COSFIRE filters
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Blood vessel segmentation methodologies in retinal images - A survey
Computer Methods and Programs in Biomedicine
An approach to localize the retinal blood vessels using bit planes and centerline detection
Computer Methods and Programs in Biomedicine
Pattern Recognition Letters
Automatic vessel network features quantification using local vessel pattern operator
Computers in Biology and Medicine
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Algorithms are presented for rapid, automatic, robust, adaptive, and accurate tracing of retinal vasculature and analysis of intersections and crossovers. This method improves upon prior work in several ways: automatic adaptation from frame to frame without manual initialization/adjustment, with few tunable parameters; robust operation on image sequences exhibiting natural variability, poor and varying imaging conditions, including over/under-exposure, low contrast, and artifacts such as glare; does not require the vasculature to be connected, so it can handle partial views; and operation is efficient enough for use on unspecialized hardware, and amenable to deadline-driven computing, being able to produce a rapidly and monotonically improving sequence of usable partial results. Increased computation can be traded for superior tracing performance. Its efficiency comes from direct processing on gray-level data without any preprocessing, and from processing only a minimally necessary fraction of pixels in an exploratory manner, avoiding low-level image-wide operations such as thresholding, edge detection, and morphological processing. These properties make the algorithm suited to real-time, on-line (live) processing and is being applied to computer-assisted laser retinal surgery.