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標(biāo)題: Titlebook: Mathematical Aspects of Computerized Tomography; Proceedings, Oberwol G. T. Herman,Frank Natterer Conference proceedings 1981 Springer-Verl [打印本頁(yè)]

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Heinz W. Englemory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis. Another significant feature of the book is that it begins with fundamental dynamical problems in pre978-3-642-08871-1978-3-540-69226-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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Alexander Hertleemory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis. Another significant feature of the book is that it begins with fundamental dynamical problems in pre978-3-642-08871-1978-3-540-69226-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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F. Natterercene analysis and associative memory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis. Another significant feature of the book is that it begins with fundamental dynamical problems in pre
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F. Alberto Grünbaumng set). Specifically, the problem can often be traced to the fact that eficient MLP training mechanisms lead to sub-optimal solutions for most practical problems. In this chapter, we demonstrate the problem, discuss possible methods for alleviating it, and introduce new heuristics which are shown t
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Alfred K. Louisssed, we hope that what we have included will prove to be useful, particularly to those who are relatively new to the eld. Each chapter contains one or more tricks presented by a given author (or authors). We have attempted to group related chapters into sections, though we recognize that the di ere
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P. Luxcognition, including integrated multiple representations, normalized output error, negative training, stroke warping, frequency balancing, error emphasis, and quantized weights. User-adaptation and extension to cursive recognition pose continuing challenges.
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Grace Wahbathreshold, i.e. the minimum energy required to produce a visible sensation. In research which followed this classical work of Hecht et al. (1942) the main themes were the absolute thresholds and the quantum fluctuations at the absolute threshold (cf. Pirenne, 1956, 1962; Baumgart, 1972). The fundame
作者: linear    時(shí)間: 2025-3-24 15:08
Gabor T. Herman,Dallas Websterthreshold, i.e. the minimum energy required to produce a visible sensation. In research which followed this classical work of Hecht et al. (1942) the main themes were the absolute thresholds and the quantum fluctuations at the absolute threshold (cf. Pirenne, 1956, 1962; Baumgart, 1972). The fundame
作者: 先行    時(shí)間: 2025-3-24 19:13
Robert B. Marr,Ching-Nien Chen,Paul C. Lauterburhe isolation and purification of a homogeneous population of human neural stem cells (hNSCs) are of paramount importance to ensure consistency in the composition of the cellular product and to avoid tumor formation in the host brain. This chapter describes the isolation, neuralization, and long-term
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The Problem of Reconstructing Objects from Projections as an Inverse Problem in Scattering Theory ofroved that the Heisenberg operator is a multiplication operator, and that it is a one-to-one mapping from the positive cone .(?.×S. onto itself. The inverse problem can be solved by the inverse Radon transformation formula.
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Generalized Radon Transformationslues. His paper stimulated several further investigations which achieved further reconstruction formulas; e.g. see F. John [13] and [14]. These results are the theoretical basis of most of the algorithms for reconstruction of density functions from projections which are used in computerized tomography.
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The Radon Transform in ?2. The Distributions Used as a Tool for its Inversion in Circular Decompositar harmonics of a function f and their respective images by ... The use of distributions leads to four classes of applications:.Finally a Table of systematic Radon is built and digitized inversion matrix is deduced.
作者: Explosive    時(shí)間: 2025-3-26 18:50
Approximation of the Radon Transform from Samples in Limited Range. In order to use the fast reconstruction algorithms approximations of the data in equally distributed directions are provided. The complexity of the algorithm and numerical limitations are studied, numerical experiments show the usefulness of the procedure.
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作者: hegemony    時(shí)間: 2025-3-27 04:06
On Two Approaches to 3D Reconstruction in NMR Zeugmatographyn transform (the .-. approach). These two approaches are discussed and compared, both from a theoretical standpoint and through computer results obtained with real NMR data. For the cases studied to date the two methods appear to produce qualitatively similar results.
作者: vocation    時(shí)間: 2025-3-27 05:24
Resolution Improvement to C.T.Systems Using Aperture Function Correctione to formulate filtering techniques which attempt to restore the image to its desired form. We derive a frequency domain Wiener filter, which when applied to our C.T. data attempts to restore those frequency components attenuated in the scanning process.
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作者: 戰(zhàn)勝    時(shí)間: 2025-3-27 16:59
Stability of Solutions to Linear Operator Equations of the First and Second Kinds Under Perturbatione give sufficient conditions on the perturbations in the operator and the right-hand side that guarantee stability of solutions. With different techniques we treat the cases that the linear operator is a Fredholm operator with index zero and that the linear operator is compact.
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978-3-540-10277-9Springer-Verlag Berlin Heidelberg 1981
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Finite Versions of the Radon-Transform Based on Finite Geometric Structures(2,p)..The theory of error-correcting codes provides methods to “invert” this mapping (even in the ill-posed case) mainly by using the maximum-likelihood-decoding procedure, which simultaneousely can erase random errors occurring in the X-ray detectors - thus leading to the undesirable artifacts..Re
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The Radon Transform in ?2. The Distributions Used as a Tool for its Inversion in Circular Decompositssed in a new definition. Choosing distributions of rapid descent, a generalization of the properties found for classical Radon images of square integrable functions with compact support is evidenced. Namely two distributions are used in order to find the analytical correspondence between the circul
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作者: 歌唱隊(duì)    時(shí)間: 2025-3-30 18:09
Approximation of the Radon Transform from Samples in Limited Rangensistency conditions, an approximation Rf. in terms of orthogonal polynomials is calculated. It is shown that the L.-error of f. is of the order p .if the function f belongs to the Sobolev space H.. The method is applied for reconstructing an object from its x-ray projections in arbitrary directions
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A Minimax Performance Measure for Computed Tomographyng the error over the set of possible signals, and optimal system performance is the value of a minimax problem. Simple upper and lower bounds are derived, and the techniques are applied to the problem of optimal reconstruction from a limited range of angles.
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On Two Approaches to 3D Reconstruction in NMR Zeugmatographyof . in R.. Two “natural” approaches to reconstructing f from such data are: (1) By numerical implementation of the inverse Radon transform in three dimensions (the . approach), and (2) by application, in two successive stages, of existing well-known algorithms for inverting the two-dimensional Rado
作者: excursion    時(shí)間: 2025-4-1 00:40
Resolution Improvement to C.T.Systems Using Aperture Function Correctiontor combinations of finite size. In this paper we investigate the effect of this degradation on the measured projections and the reconstructed image, and relate it to effects due to the discrete sampling of the signal. Having identified the transfer function of the imaging system, it is then possibl
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e learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems,
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