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检索条件"任意字段=IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001"

共 53 条记录，以下是31-40 订阅

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Total variation minimization by the fast level sets transform

Total variation minimization by the fast level sets transfor...

引用

ieee workshop on variational and level set methods in computer vision

作者： F. Dibos G. Koepfler CEREMADE UMR CNRS 7534 Paris France UFR de Mathématiques et Informatique PRISME Paris France

ISBN: (纸本)076951278X

The minimisation of the total variation is an important tool of image processing. Many authors have addressed the problem and developed algorithms for image denoising. In a previous paper we gave an alternative approach to the total variation minimization problem based on the Coarea formula. The aim of this paper is to present a new efficient algorithm for the Coarea formula approach, based on the fast level sets transform.

关键词： TV level set Integral equations Anisotropic magnetoresistance Digital images Image denoising Image restoration Smoothing methods Image processing Numerical analysis

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Cortex segmentation - a fast variational geometric approach

Cortex segmentation - a fast variational geometric approach

引用

ieee workshop on variational and level set methods in computer vision

作者： R. Goldenberg R. Kimmel E. Rivlin M. Rudzsky Computer Science Department Technion-Israel Institute of Technology Haifa Israel

ISBN: (纸本)076951278X

An automatic cortical gray matter segmentation from three-dimensional brain images (MR or CT) is a well known problem in medical image processing. We formulate it as a geometric variational problem for propagation of two coupled bounding surfaces. An efficient numerical scheme is used to implement the geodesic active surface model. Experimental results of cortex segmentation on real three-dimensional MR data are provided.

关键词： Image segmentation Brain modeling Deformable models Solid modeling computer science Cities and towns World Wide Web Computed tomography Biomedical image processing Cerebral cortex

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On smoothness measures of active contours and surfaces

On smoothness measures of active contours and surfaces

引用

ieee workshop on variational and level set methods in computer vision

作者： H. Delingette Projet Epidaure INRIA Sophia-Antipolis France

ISBN: (纸本)076951278X

We propose to study different smoothness measures of planar contours or surfaces. We first define a smoothness measure as a functional that follows three types of invariance, invariance to changes of contour parameterization, invariance to contour rotations and translations and invariance to the contour sizes. We then introduce different smoothness measures that can be classified into local or global functionals but that can also be of geometric or algebraic nature. We finally discuss their implementation by observing the advantages and disadvantages of explicit and implicit contour representations.

关键词： Active contours Integral equations Rotation measurement Size measurement Heart computer vision Smoothing methods Surface reconstruction Calculus Shape

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variational problems and PDEs on implicit surfaces

Variational problems and PDEs on implicit surfaces

引用

ieee workshop on variational and level set methods in computer vision

作者： M. Bertalmio G. Sapiro Li-Tien Cheng S. Osher Electrical and Computer Engineering University of Minnesota USA Mathematics Department University of California Los Angeles USA

ISBN: (纸本)076951278X

A novel framework for solving variational problems and partial differential equations for scalar and vector-valued data defined on surfaces is introduced. The key idea is to implicitly represent the surface as the level set of a higher dimensional function, and solve the surface equations in a fixed Cartesian coordinate system using this new embedding function. The equations are then both intrinsic to the surface and defined in the embedding space. This approach thereby eliminates the need for performing complicated and inaccurate computations on triangulated surfaces, as is commonly done in the literature. We describe the framework and present examples in computer graphics and image processing applications, including texture synthesis, flow field visualization, as well as image and vector field intrinsic regularization for data defined on 3D surfaces.

关键词： computer graphics Image processing Partial differential equations Application software Data visualization Differential equations Surface texture Physics Laplace equations Embedded computing

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A level set algorithm for minimizing the Mumford-Shah functional in image processing

A level set algorithm for minimizing the Mumford-Shah functi...

引用

ieee workshop on variational and level set methods in computer vision

作者： T.F. Chan L.A. Vese Department of Mathematics University of California Los Angeles Los Angeles CA USA

ISBN: (纸本)076951278X

We show how the piecewise-smooth Mumford-Shah segmentation problem can be solved using the level set method of Osher and sethian (1988). The obtained algorithm can be simultaneously used to denoise, segment, detect-extract edges, and perform active contours. The proposed model is also a generalisation of a previous active contour model without edges, proposed by the authors in Chan et al., (2001), and of its extension to the case with more than two segments for piecewise-constant segmentation Chan et al., (2000). Based on the four color theorem, we can assume that in general, at most two level set functions are sufficient to detect and represent distinct objects of distinct intensities, with triple junctions, or T-junctions.

关键词： level set Image processing Image segmentation Active contours Contracts Mathematics Image edge detection Object detection Topology Phase detection

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A self-referencing level-set method for image reconstruction from sparse Fourier samples

A self-referencing level-set method for image reconstruction...

引用

ieee workshop on variational and level set methods in computer vision

作者： Jong Chul Ye Y. Bresler P. Moulin Coordinated Science Laboratory University of Illinois Urbana-Champaign IL USA

ISBN: (纸本)076951278X

We address image estimation from sparse Fourier samples. The problem is formulated as joint estimation of the supports of unknown sparse objects in the image, and pixel values on these supports. The domain and the pixel values are alternately estimated using the level-set method and the conjugate gradient method, respectively. Our level-set evolution shows a unique switching behavior, which stabilizes the level-set evolution. Furthermore, the trade-off between the stability and the speed of evolution can be easily controlled by the number of the conjugate gradient steps, hence removing the re-initialization steps in conventional level set approaches.

关键词： Image reconstruction Paramagnetic resonance Magnetic resonance imaging Image sampling Fourier transforms Passive radar Spaceborne radar Radar imaging Computed tomography Positron emission tomography

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Fast surface reconstruction using the level set method

Fast surface reconstruction using the level set method

引用

ieee workshop on variational and level set methods in computer vision

作者： Hong-Kai Zhao S. Osher R. Fedkiw Department of Mathematics University of California Irvine CA USA Department of Mathematics University of California Los Angeles CA USA Gates Computer Science Bldg University of Stanford Stanford CA USA

ISBN: (纸本)076951278X

We describe new formulations and develop fast algorithms for implicit surface reconstruction based on variational and partial differential equation (PDE) methods. In particular we use the level set method and fast sweeping and tagging methods to reconstruct surfaces from a scattered data set. The data set might consist of points, curves and/or surface patches. A weighted minimal surface-like model is constructed and its variational level set formulation is implemented with optimal efficiency. The reconstructed surface is smoother than piecewise linear and has a natural scaling in the regularization that allows varying flexibility according to the local sampling density. As is usual with the level set method we can handle complicated topology and deformations, as well as noisy or highly nonuniform data sets easily. The method is based on a simple rectangular grid, although adaptive and triangular grids are also possible. Some consequences, such as hole filling capability, are demonstrated, as well as the viability and convergence of our new fast tagging algorithm.

关键词： Surface reconstruction level set Tagging Partial differential equations Scattering Piecewise linear techniques Sampling methods Topology Noise level Filling

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A variational approach to multi-modal image matching

A variational approach to multi-modal image matching

引用

ieee workshop on variational and level set methods in computer vision

作者： C. Chefd'Hotel G. Hermosillo O. Faugeras MIT Artificial Intelligence Laboratory Cambridge MA USA INRIA Sophia-Antipolis France

ISBN: (纸本)076951278X

We address the problem of nonparametric multi-modal image matching. We propose a generic framework which relies on a global variational formulation and show its versatility through three different multi-modal registration methods: supervised registration by joint intensity learning, maximization of the mutual information and maximization of the correlation ratio. Regularization is performed by using a functional borrowed from linear elasticity theory. We also consider a geometry-driven regularization method. Experiments on synthetic images and preliminary results on the realignment of MRI datasets are presented.

关键词： Image matching Magnetic resonance imaging Optical computing Mutual information Elasticity Biomedical optical imaging Optical distortion Optical sensors Biomedical imaging Artificial intelligence

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A variational approach for the segmentation of the left ventricle in MR cardiac images

A variational approach for the segmentation of the left vent...

引用

ieee workshop on variational and level set methods in computer vision

作者： N. Paragios Siemens AG Corporate Research and Development Princeton NJ USA

ISBN: (纸本)076951278X

This paper proposes a new front propagation method to segment MR cardiac images. This framework is based on the geodesic active region model, refers to a coupled propagation of two curves (inner and outer cardiac contours) and integrates boundary and region-based segmentation modules. The boundary information is introduced to the objective function using the gradient vector flow framework while the region information using continuous probability density functions. The defined objective function is minimised using a gradient descent method and the obtained motion equations are implemented using a level set approach. A recently introduced numerical approximation scheme with fast convergence rate and stable behavior is used to implement the level set motion equations. Finally, according to the application the propagations of the level set contours are coupled using their relative distances. Encouraging experimental results are provided using real data.

关键词： Image segmentation level set Equations Application software Surface fitting Shape Noise shaping Educational institutions Probability density function Convergence of numerical methods

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Optimal mass transport and image registration

Optimal mass transport and image registration

引用

ieee workshop on variational and level set methods in computer vision

作者： S. Haker A. Tannenbaum Department of Radiology Surgical Planning Laboratory Brigham and Women''s Hospital Boston MA USA Departments of Electrical and Computer and Biomedical Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)076951278X

Image registration is the process of establishing a common geometric reference frame between two or more data sets from the same or different imaging modalities possibly taken at different times. In the context of medical imaging and in particular image-guided therapy, the registration problem consists of finding automated methods that align multiple data sets with each other and with the patient. We propose a method of elastic registration based on the Monge-Kantorovich problem of optimal mass transport.

关键词： Image registration Biomedical imaging Surgery Transportation Shape measurement Medical treatment Magnetic resonance imaging Radiology Process planning Technology planning

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