His primary scientific interests are in Artificial intelligence, Computer vision, Filter, Algorithm and Pattern recognition. His Artificial intelligence and Digital image processing, Binary image, Analog image processing, Digital image and Microscope image processing investigations all form part of his Artificial intelligence research activities. His Computer vision study frequently draws connections between adjacent fields such as Noise.
His biological study spans a wide range of topics, including Image processing, Edge detection, Orientation and Adaptive filter. The various areas that L.J. van Vliet examines in his Algorithm study include Gaussian random field, Gaussian function, Gaussian filter and Filter design. In the subject of general Pattern recognition, his work in Linear discriminant analysis is often linked to Computed Tomography Colonography, thereby combining diverse domains of study.
L.J. van Vliet focuses on Artificial intelligence, Computer vision, Algorithm, Image processing and Optics. His work carried out in the field of Artificial intelligence brings together such families of science as Filter and Pattern recognition. His research investigates the connection between Algorithm and topics such as Curvature that intersect with issues in Measure.
In his study, Meniscus is inextricably linked to Evaporation, which falls within the broad field of Optics. His Edge detection research integrates issues from Smoothing and Thresholding. His Orientation research is multidisciplinary, incorporating perspectives in Space, Image and Anisotropy.
His main research concerns Artificial intelligence, Computer vision, Radiology, Diffusion MRI and Coronary arteries. His Artificial intelligence research includes elements of Anatomy and Pattern recognition. Much of his study explores Computer vision relationship to Biomechanics.
His research integrates issues of Reduction and Thresholding in his study of Radiology. His Diffusion MRI research includes themes of Statistics and Nuclear magnetic resonance. His Medical imaging research is multidisciplinary, incorporating elements of Filter, Image processing, Inpainting, Angiography and Pattern recognition.
His primary areas of study are Artificial intelligence, Computer vision, Image processing, Radiology and Coronary arteries. As part of his studies on Artificial intelligence, L.J. van Vliet frequently links adjacent subjects like Pattern recognition. His Computer vision research incorporates elements of Carpal bones, Wrist, Ligament, Biomechanics and Surgical planning.
His Image processing research incorporates themes from Medical imaging, Microscopy, Image registration, Angiography and Angiocardiography. His study in the field of Computed tomography angiography and Stenosis also crosses realms of Coronary artery disease and Triage. The study incorporates disciplines such as Principal curvature, Mahalanobis distance and Feature vector in addition to False positive paradox.
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Fundamentals of Image Processing
I.T. Young;J.J. Gerbrands;L.J. Van Vliet.
Separable bilateral filtering for fast video preprocessing
T.Q. Pham;L.J. van Vliet.
international conference on multimedia and expo (2005)
Recursive Gaussian derivative filters
L.J. van Vliet;I.T. Young;P.W. Verbeek.
international conference on pattern recognition (1998)
A nonlinear laplace operator as edge detector in noisy images
L. J. van Vliet;I. T. Young;G. L. Beckers.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1989)
A quantitative comparison of image restoration methods for confocal microscopy
G. M. P. Van Kempen;L. J. Van Vliet;P. J. Verveer;H. T. M. Van Der Voort.
Journal of Microscopy (1997)
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.
Hortense Kirişli;M. Schaap;C. T. Metz;A. S. Dharampal.
Medical Image Analysis (2013)
Edge preserving orientation adaptive filtering
P. Bakker;L.J. van Vliet;P.W. Verbeek.
computer vision and pattern recognition (1999)
Estimators for Orientation and Anisotropy in Digitized Images
L.J. Van Vliet;P.W. Verbeek.
ASCI Imaging Workshop, Venray, NL, October 25-27 (1995)
Recursive Gabor filtering
I.T. Young;L.J. van Vliet;M. van Ginkel.
IEEE Transactions on Signal Processing (2002)
Reconstruction of optical pathlength distributions from images obtained by a wide-field differential interference contrast microscope
E. B. Van Munster;L. J. Van Vliet;J. A. Aten.
Journal of Microscopy (1997)
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