2014 - Member of the National Academy of Engineering For numerical techniques applied to image processing and scientific computing, and for providing engineering leadership at the national and international levels.
2010 - SIAM Fellow For contributions to numerical analysis and image processing, and for service to the mathematical community.
2007 - Fellow of the American Association for the Advancement of Science (AAAS)
Tony F. Chan focuses on Algorithm, Artificial intelligence, Computer vision, Image restoration and Image processing. His Algorithm research integrates issues from Active contour model, Mathematical optimization, Minification, Image and Wavelet. His research integrates issues of Mumford–Shah functional, Level set and Object detection in his study of Active contour model.
His research in the fields of Segmentation and Digital image overlaps with other disciplines such as Low-pass filter, Digital filter and Video denoising. His Image restoration research incorporates elements of Linearization, Blind deconvolution, Line search, Total variation denoising and Rate of convergence. Tony F. Chan combines subjects such as Norm, Image segmentation and Regular polygon with his study of Image processing.
His primary areas of study are Algorithm, Artificial intelligence, Mathematical analysis, Computer vision and Applied mathematics. His research investigates the connection between Algorithm and topics such as Mathematical optimization that intersect with issues in Multigrid method. His study in Segmentation, Image, Image segmentation and Inpainting is done as part of Artificial intelligence.
His Mathematical analysis study incorporates themes from Surface, Conjugate gradient method and Nonlinear system. Tony F. Chan is interested in Image processing, which is a branch of Computer vision. The various areas that Tony F. Chan examines in his Applied mathematics study include Matrix and Domain decomposition methods.
Tony F. Chan mainly focuses on Algorithm, Artificial intelligence, Computer vision, Mathematical analysis and Surface. His work carried out in the field of Algorithm brings together such families of science as Image restoration, Mathematical optimization and Topology. His study in Artificial intelligence concentrates on Image segmentation, Segmentation, Inpainting and Image texture.
His Image segmentation research is multidisciplinary, incorporating elements of Histogram and Piecewise. His research in Image processing and Image are components of Computer vision. His studies deal with areas such as Numerical analysis and Wavelet as well as Image processing.
The scientist’s investigation covers issues in Algorithm, Artificial intelligence, Computer vision, Image processing and Image restoration. The study incorporates disciplines such as Active contour model and Mathematical optimization, Minification in addition to Algorithm. His study on Skin color is often connected to Casual as part of broader study in Computer vision.
His work deals with themes such as Initial value problem and Image segmentation, which intersect with Image processing. Many of his research projects under Image segmentation are closely connected to Relaxation technique with Relaxation technique, tying the diverse disciplines of science together. His Augmented Lagrangian method research also works with subjects such as
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Active contours without edges
T.F. Chan;L.A. Vese.
IEEE Transactions on Image Processing (2001)
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
Luminita A. Vese;Tony F. Chan.
International Journal of Computer Vision (2002)
Weighted essentially non-oscillatory schemes
Xu-Dong Liu;Stanley Osher;Tony Chan.
Journal of Computational Physics (1994)
MATHEMATICAL MODELS FOR LOCAL NONTEXTURE INPAINTINGS
Jianhong Shen;Tony F. Chan.
Siam Journal on Applied Mathematics (2002)
A Variational Level Set Approach to Multiphase Motion
Hong-Kai Zhao;T. Chan;B. Merriman;S. Osher.
Journal of Computational Physics (1996)
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Tony Chan;Jianhong Shen.
Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods (2005)
Nontexture Inpainting by Curvature-Driven Diffusions
Tony F. Chan;Jianhong Shen.
Journal of Visual Communication and Image Representation (2001)
Total variation blind deconvolution
T.F. Chan;Chiu-Kwong Wong.
IEEE Transactions on Image Processing (1998)
ALGORITHMS FOR FINDING GLOBAL MINIMIZERS OF IMAGE SEGMENTATION AND DENOISING MODELS
Tony F. Chan;Selim Esedoglu;Mila Nikolova.
Siam Journal on Applied Mathematics (2006)
Non-texture inpainting by curvature-driven diffusions (CDD)
Tony F. Chan;Jianhong Shen.
J. Visual Comm. Image Rep. (2001)
Profile was last updated on December 6th, 2021.
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