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检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data III"

共 623 条记录，以下是581-590 订阅

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Realise: reconstruction of reality from image sequences

Realise: Reconstruction of reality from image sequences

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International conference on image Processing (ICIP-96)

作者： Leymarie, F delaFortelle, A Koenderink, JJ Kappers, AML Stavridi, M vanGinneken, B Muller, S Krake, S Faugeras, O Robert, L Gauclin, C Laveau, S Zeller, C THOMSON CSF SYSECAS2IGF-92240 MALAKOFFFRANCE

ISBN: (纸本)0780332598

REALISE has for principal goals to extract from sequences of images, acquired with a moving camera, information necessary for determining the 3D (CAD-like) structure of a real-life scene together with information about the radiometric signatures of surfaces bounding the extracted 3D objects (e.g. reflectance behaviour). The retrieved information is then integrated in a Virtual Reality (VR) software environment. R&D work is been performed principally in the following areas of Computer Vision & Computer Graphics: structure from motion, recovery of geometries, recovery of photometric and texture information, highly realistic rendering on the basis of empirically-based reflectance models, design and development of improved rendering processes together with a new VR system. Beside this innovative R&D work another key aspect of REALISE is to have Computer Vision & Computer Graphics cooperate to produce realistic 3D data efficiently.

关键词： image reconstruction

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data management for real-time fully 3-D tomograph parallel processing

Data management for real-time fully 3-D tomograph parallel p...

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8th Mediterranean Electrotechnical conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (Melecon 96)

作者： Marino, F DiSciascio, E Guzzardi, R POLITECN BARI DEE I-70100 BARI ITALY

ISBN: (纸本)0780331095

An architecture for the real time parallel processing of data coming from a 3-D PET is shown. Also if the adopted reconstruction algorithm is a well-known one, the originality of the paper consists of a suitable data management policy employed in order to allow a real-time parallel processing. Because both of the short time required for an I/O operation (at present 150 ns) and of the simplicity of the computations (parallel additions requiring computing time of the order of the address-encoding), the shown architecture can be added (by the interposition of a FIFO buffer) to an existing tomograph in order to obtain the real time 3-D PET data processing and the image reconstruction.

关键词： Parallel processing systems

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Parallel chaotic iterative algorithms for image reconstruction with limited projection data 3rd

Parallel chaotic iterative algorithms for image reconstructi...

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3rd International Austrian Center for Parallel Computation conference with Special Emphasis on Parallel databases and Parallel I/O, 1996

作者： Gubareny, N. Katkov, A. Institute of Mathematics and Computer Science Technical University of Czestochowa Częstochowa42-200 Poland

ISBN: (纸本)3540616950

The parallel chaotic iterative algorithms for image reconstruction by method of asynchronous chaotic relaxation with delay using the Monte-Carlo method are proposed. These algorithms are some generalization of parallel chaotic iteration methods considered by Bru, Elsner and Neumann. The accuracy and the rate of convergence of these algorithms are evaluated through their computer simulation with application to physical researches by tomographic reconstruction from incomplete data. Numerical calculations for solving this problem for some modeling objects, comparing evaluations of errors and the rate of convergence of these algorithms are presented. These algorithms may be realized effectively in speed independent computing network. This network consists of interacting speed independent processors, which are nonsynchronous devices, and duration of computational processes is defined by duration of transient processes in them. So computing time of each macroiteration for these algorithms in such network is considerably less than computing time for corresponding algorithms in synchronous computing structure. © 9 Springer-Verlag Berlin Heidelberg 1996.

关键词： image reconstruction

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image processing in 3-D standing-wave fluorescence microscopy

Image processing in 3-D standing-wave fluorescence microscop...

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conference on Three-Dimensional Microscopy - image Acquisition and Processing iii

作者： Krishnamurthi, V Bailey, B Lanni, F CARNEGIE MELLON UNIV CTR LIGHT MICROSCOPE IMAGING & BIOTECHNOLDEPT PHYSBIOMED ENGN PROGRAMPITTSBURGHPA 15213

ISBN: (纸本)0819420298

Standing-wave fluorescence microscopy, a method which utilizes interference to create a periodic excitation pattern along the optical axis, has been shown to provide improved axial resolution in thin, fluorescently labeled specimens. In each plane of focus, a complete standing wave data set is obtained by acquiring an image at each of three distinct positions of the interference fringes. Thicker specimens require through-focus data consisting of three images per plane. In this report we describe the recovery of information from this data using 3D image processing. The effective optical transfer function (OTF) of the standing wave microscope consists of the conventional OTF and two sidebands which are copies of the conventional OTF shifted axially by the spatial frequency of the interference fringes. The large gaps between the central band and the sidebands lead to significant ringing in the 3D reconstruction if linear deconvolution methods are employed. The use of non-linear, constrained image processing techniques has been shown to allow accurate extrapolation outside the OTF band limit. We demonstrate the extent to which the sidebands enhance recovery of information in the gaps, and provide a comparison between deconvolution using inverse-filtering and maximum-likelihood estimation.

关键词： Composites Fermium Frequency modulation Optical transfer functions image processing Luminescence Microscopes Microscopy 3D image processing Point spread functions

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A set theoretic approach to image reconstruction from projections

A set theoretic approach to image reconstruction from projec...

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IEEE International conference on image Processing

作者： B. Bhumkar P.L. Vora B. Chandna K. Shankar Department of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

The reconstruction of an image from incomplete view data requires the use of several constraints not derived from ray sum (projection data) measurements. The constraints can be incorporated through the method of (sequential and parallel) projections onto the constraint sets. These methods for the use of information regarding the noise and the image are implemented and compared. It is shown that the use of noise statistics decreases the mean square error in the image and that the method of parallel projections results in smaller error than the method of sequential projections if a sufficient number of iterations is permitted.

关键词： image reconstruction Tomography Vectors Pixel Hafnium Equations Electric variables measurement Error analysis Mean square error methods Subspace constraints

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Regularisation of the limited data computed tomography problem via the boundary element method

Regularisation of the limited data computed tomography probl...

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International conference on image Processing

作者： Solo, V MACQUARIE UNIV DEPT STATSYDNEYNSW 2109AUSTRALIA

ISBN: (纸本)0780331222

We present a new variational approach to the problem of computed tomography reconstruction from sparse data. We use a Tikhonov regularisation (quite different from that of Louis [1985]) which deals without approximation with discrete or nonuniform grids. Our algorithm requires calculation of a Green's function on a finite region and we show how this can be done very efficiently computationally using the numerical/analytic boundary element method (BEM).

关键词： Computerized tomography

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Method to decrease nonlinear image reconstruction distortions caused by measurement errors

Method to decrease nonlinear image reconstruction distortion...

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Proceedings of the 1995 3rd URSI International Symposium on Signals, Systems and Electronics, ISSSE'95

作者： Bajkova, Anisa T. Inst of Applied Astronomy of RAS St-Petersburgh Russia

The problem of nonlinear distortions of images reconstructed from incomplete and noisy spectrum data using nonlinear optimization methods such as maximum entropy method is considered. To decrease the level of nonlinear distortions it is proposed to seek solution in the space of complex functions using generalized maximum entropy method instead of classical one.

关键词： image reconstruction

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Convex shape reconstruction from noisy ray probe measurements

Convex shape reconstruction from noisy ray probe measurement...

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International conference on image Processing

作者： Lerman, JS Kulkarni, SR SARNOFF REAL TIME CORP PRINCETONNJ 08543

ISBN: (纸本)0780331222

Two algorithms for two-dimensional convex shape reconstruction from noisy ray probe measurements are developed and compared. Given a coordinate system located within the object, the data consists of a finite set of angles together with the corresponding radial distances to the boundary corrupted by additive noise. We first characterize when such data is consistent with some convex shape. The algorithms estimate the target shape by finding the consistent set of probe measurements that is closest to the original noisy data. A direct formulation leads to a quadratic minimization problem with nonlinear constraints. By applying a simple transformation, an alternative algorithm is developed that trades off performance for computational simplicity as it requires quadratic minimization with linear constraints. Both algorithms are successfully applied to a variety of shapes with substantial noise.

关键词： probe measurement algorithms Convexity shape reconfiguration nonlinear constraint noisy data Additive noise installation angle Coordinate system

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Localized wavelet based computerized tomography

Localized wavelet based computerized tomography

引用

International conference on image Processing

作者： RashidFarrokhi, F Liu, KJR Berenstein, CA Walnut, D UNIV MARYLAND DEPT ELECT ENGNCOLLEGE PKMD 20742

ISBN: (纸本)0780331222

We develop an algorithm to reconstruct the wavelet coefficients of an image from the Radon transform data. The proposed method uses the properties of wavelets to localize the Radon transform and can be used to reconstruct a local region of the cross section of a body, using almost completely local data which significantly reduces the amount of exposure and computations in X-ray tomography. For example, for a local region of radius 20 pixels in a 256/spl times/256 image the proposed method can reduce the exposure to 12.5% of the conventional filtered backprojection method. Compared to the existing schemes, which can only reduce to 40%.

关键词： image reconstruction

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Parameter selection for a Markovian signal reconstruction with edge detection

Parameter selection for a Markovian signal reconstruction wi...

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International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M. Nikolova Laboratoire des Signaux et Systèmes CNRS-Supélec-Université Paris-Sud Gif-sur-Yvette France

We propose a method for the parameter selection for a Bayesian reconstruction of 1D or 2D signals, constituted by locally homogeneous regions, from incomplete and noisy projection data. A piecewise Gaussian Markov model (PG MM), defined as a sum of truncated quadratic potential functions, is used to regularise the reconstruction, which is otherwise ill-posed. This model is called the weak string in 1D and the weak membrane in 2D. The posterior energy is highly non-convex and the MAP estimator is piecewise continuous; the model parameters play a particularly decisive role. The resolution of the reconstruction-the finest recoverable features-is determined jointly by the parameters and the observation model. On the other hand, we propose a method for the determination of the parameters in order to reach, or at least to approach as closely as possible, a desired resolution. This model needs the evaluation of several posterior edge detection thresholds.

关键词： Signal reconstruction image edge detection Fourier transforms Bayesian methods Energy resolution Signal resolution Lattices Gaussian noise Markov random fields Estimation theory

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