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IEEE International Conference on Acoustics, Speech and Signal proc.ssing

作者： Rahele Kafieh Hossein Rabbani Saeed Gazor Biomed. Eng. Dept. Med. Image & Signal Proc. Research Center Isfahan Univ. of Med. Sciences Isfahan Iran Electrical & Computer Engineering Department Queen's University Kingston Canada

ISBN: (纸本)9781479928941

We introduce a nonparametric approach to multiscale segmentation of images using a hierarchical matrix analysis framework called diffusion wavelets. This approach benefits from the advantages of both graph theory and wavelet transform. Till now a broad range of multiscale transforms like wavelets (and other x-lets) have been introduced for image segmentation task. The graph theoretic formulation of grouping is also well-known to deal with this problem. The combination of multiscale transforms and graph based partitioning results in a scale-spectral method exploring through different scales of the image, over a great deal of spectral methods in graph partitioning. The method constructs multiscale basis functions and a series of dilation and orthogonalizations build a hierarchy, automatically. At each level, a set of basis functions is built by applying dyadic powers of a diffusion operator on the bases at the lower level. Two approaches are proposed for multiscale segmentation of images using diffusion wavelets. The first method is based on extended bases functions at each level and designing a competition between the bases value for partitioning. The second approach is defining a new distance for each level and clustering based on such distances.

关键词： image segmentation basis functions Time frequency analysis wavelets images Line graph Alkali Frequency analysis Base materials spectral methods Bases Graph theory Dilatation, Pathologic Dilation

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Backprojection-based reconstruction and correction for distance-dependent defocus in cryoelectron microscopy

Backprojection-based reconstruction and correction for dista...

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IEEE International Symposium on Biomedical Imaging

作者： Ivan G. Kazantsev Gabor T. Herman Laslo Cernetic Materials Science Department RisØ DTU Roskilde Denmark Department of Computer Science CUNY NY USA Department of Image Proc. and Computer Graphics University of Szeged Szeged Hungary

We study two methods of micrograph proc.ssing in cryo- electron microscopy: the defocus-gradient corrected back- projection algorithm and the correction of micrographs for the contrast transfer function based on the frequency-distance relation. Analyzing integral images produced by the methods we conclude that they are asymptotically equivalent within the framework of stationary phase approximation.

关键词： Transmission electron microscopy image reconstruction Transfer functions Frequency Computed tomography Materials science and technology computer science computer graphics image analysis Electron microscopy

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Data modeling for content-based support environment (C-BASE): Application on epilepsy data mining

Data modeling for content-based support environment (C-BASE)...

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17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007

作者： Siadat, Mohammad-Reza Soltanian-Zadeh, Hamid Fotouhi, Farshad Eetemadi, Ameen Elisevich, Kost Department ofComputer Science and Engineering Oakland University Rochester MI 48309 United States Radiology Image Analysis Lab. Henry Ford Health System Detroit MI 48202 United States Control and Intelligent Proc. Center of Excellence Dept. of Elec. and Comp. Eng. Univ. of Tehran Tehran 14395-515 Iran Department of Computer Science Wayne State University Detroit MI 48202 United States Department of Neurosurgery Henry Ford Health System Detroit MI 48202 United States

ISBN: (纸本)0769530192

Data Modeling is an essential first step for data preparation in any data mining proc.dure. Conventional entity-relational (E-R) data modeling is lossy, irreproducible, and time-consuming especially when dealing with unstructured image data associated with complex systems like the human brain. We propose a methodological framework for more objective E-R data modeling by eliminating the structured content-dependent metadata associated with the unstructured data. The proposed method is applied to epilepsy-related image data and a system called the human brain image database system (HBIDS) is developed accordingly. Supported with navigation, segmentation, data fusion, and feature extraction modules, HBIDS provides a content-based support environment (C-BASE). Such an environment potentially provides an unlimited (ad hoc) query support with a reproducible and efficient database schema. Switching between different modalities of data, while confining the feature extractors within the object(s) of interest, HBIDS yields anatomically specific query results. The price of such scheme is large storage requirements and relatively high computational cost. Examples of navigation through unstructured image data and content-based retrieval are presented in this paper. The results show the potential of HBIDS in content-based data management for decision support systems in real life medical applications. © 2007 IEEE.

关键词： Data mining

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Reconstruction of pixel-based and geometric objects by discrete tomography. Simulation and physical experiments

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Electronic Notes in Discrete Mathematics 2005年 20卷 475-491页

作者： Kiss, Zoltán Rodek, Lajos Nagy, Antal Kuba, Attila Balaskó, Márton Dept. of Image Proc. and Computer Graphics Univ. of Szeged Szeged Hungary KFKI Atomic Energy Research Institute Budapest Hungary

Tomography is an imaging technique to reconstruct cross-sections of objects from projection images in a non-destructive way. We have implemented two discrete tomographic (DT) reconstruction methods. The first method is general in the sense that the objects to be reconstructed are represented by pixels, and in this way the method can be used for reconstructing any shape. The second one is able to reconstruct objects consisting of cylinders and spheres made of homogeneous materials only. Simulation and physical experiments connected with non-destructive testing by X-rays were performed, and the results are presented. © 2005 Elsevier B.V. All rights reserved.

关键词： discrete tomography optimization simulated annealing stochastic relaxation

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Discrete tomography for reconstruction from limited view angles in non-destructive testing

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Electronic Notes in Discrete Mathematics 2005年 20卷 455-474页

作者： Krimmel, S. Baumann, J. Kiss, Z. Kuba, A. Nagy, A. Stephan, J. Physik Department E 21 Technische Universität München Garching Germany Corporate Technology PS 9 Siemens AG Munich Germany Dept. of Image Proc. and Computer Graphics Univ. of Szeged Szeged Hungary

We show that discrete tomography (DT) is suitable to increase the possible inspection size of single material oblong objects compared to filtered back projection (FBP) in non-destructive testing (NDT) with 2D X-ray computed tomography (CT). For such objects which are in one dimension larger than the maximum detectable material thickness limited view angles occur and FBP is not suitable for reconstruction. For evaluation of the reconstruction performance a copper phantom (strong absorber) which exhibits typical problems for NDT was manufactured. The increase of the object size with DT reconstruction compared to FBP was estimated to be above 50%. © 2005 Elsevier B.V. All rights reserved.

关键词： Discrete tomography experimental data limited view angles sensitivity to distortions

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An efficient algorithm for reconstructing binary matrices from horizontal and vertical absorbed projections

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Electronic Notes in Discrete Mathematics 2005年 20卷 347-363页

作者： Frosini, A. Rinaldi, S. Barcucci, E. Kuba, A. Dipartimento di Scienze Matematiche e Informatiche University of Siena Siena Italy Dipartimento di Sistemi e Informatica University of Florence Florence Italy Dept. of Image Proc. and Computer Graphics Univ. of Szeged Szeged Hungary

This paper studies the classical tomographical problem of the reconstruction of a binary matrix from projections in presence of absorption. In particular, we consider two projections along the horizontal and vertical directions and the mathematically interesting case of the absorption coefficient β0 = frac(1 + sqrt(5), 2). After proving some theoretical results on the switching components, we furnish a fast algorithm for solving the reconstruction problem from the horizontal and vertical absorbed projections. As a significative remark, we obtain also the solution of the related uniqueness problem. © 2005 Elsevier B.V. All rights reserved.

关键词： absorbed projections Discrete tomography polynomial time algorithm reconstruction problem

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Vision pyramids that do not grow too high

Vision pyramids that do not grow too high

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作者： Kropatsch, Walter G. Haxhimusa, Yll Pizlo, Zygmunt Langs, Georg Inst. of Computer Aided Automation Pattern Recog. Image Proc. G. Vienna University of Technology Favoritenstrasse 9 A-1040 Vienna Austria Department of Psychological Sciences Sch. of Elec. and Comp. Engineering Purdue University West Lafayette IN 47907-1364 United States Inst. for Comp. Graphics and Vision Graz University of Technology Inffeldgasse 16 2.OG A-8010 Graz Austria

In irregular pyramids, their vertical structure is not determined beforehand as in regular pyramids. We present three methods, all based on maximal independent sets from graph theory, with the aim to simulate the major sampling properties of the regular counterparts: good coverage of the higher resolution level, not too large sampling gaps and, most importantly, the resulting height, e.g. the number of levels to reach the apex. We show both theoretically and experimentally that the number of vertices can be reduced by a factor of 2.0 at each level. The plausibility of log (diameter) pyramids is supported by psychological and psychophysical considerations. Their technical relevance is demonstrated by enhancing appearance-based object recognition. An irregular pyramid hypothesis generation for robust PCA through top-down attention mechanisms achieves higher speed and quality than regular pyramids and non-pyramidal approaches. © 2004 Elsevier B.V. All rights reserved.

关键词： Object recognition

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Computing the transfer function for second-order 2D systems

Computing the transfer function for second-order 2D systems

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2004 IEEE International Symposium on Circuits and Systems - proc.edings

作者： Antoniou, George E. Michael, Marinos T. Image Proc. and Systems Laboratory Department of Computer Science Montclair State University Montclair NJ 07043

In this paper the discrete Fourier transform is used to determine the coefficients of a transfer function of a new two-dimensional system model of second-order: x(i1 + 2, i2 2) = A0x(i 1 + 1,i2 + 1) + A1x(i1 + 1,i 2) + A2x(i1,i2 + 1). The algorithm is straight forward and has been implemented using the software package "Matlab™". A step-by-step example illustrating the application of the algorithm is presented.

关键词： Transfer functions

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A uniform projection-based unsupervised classification for hyperspectral imagery

A uniform projection-based unsupervised classification for h...

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2004 IEEE International Geoscience and Remote Sensing Symposium proc.edings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004

作者： Wang, Jing Chang, Chein-I. Remote Sensing Sign./Image Proc. L. Department of Computer Science Univ. of Maryland Baltimore County Baltimore MD 21250

Orthogonal subspace projection (OSP) has received considerable interest in hyperspectral image classification. It performs well when the complete knowledge of image endmembers is available. In reality, obtaining such prior knowledge is very difficult, if not impossible. This paper investigates a variant of OSP, called uniform projection (UP) and presents a UP-based unsupervised algorithm for hyperspectral image classification. It first implements a uniform target detector (UTD) to find a set of interfering signatures, I, then another uniform I-annihilated detector (UIAD) to find desired target signatures. The signatures in I are combined with the UIAD found desired signatures to form a target signatures matrix M which can be used for supervised image classification. In this case, OSP can be used for this purpose. In order to demonstrate the utility of the proposed unsupervised classification technique for hypserspectral imagery, a series of computer simulations and experiments are conducted for analysis.

关键词： image analysis

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A nested Spatial window-based approach to target detection for hyperspectral imagery

A nested Spatial window-based approach to target detection f...

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2004 IEEE International Geoscience and Remote Sensing Symposium proc.edings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004

作者： Liu, Weimin Chang, Chein-I. Remote Sensing Sign./Image Proc. L. Department of Computer Science Univ. of Maryland Baltimore County Baltimore MD 21250

A great challenge of hyperspectral target detection is to detect subtle targets without prior knowledge, particularly, when the targets of interest are insignificant and occur with low probabilities. This paper It provides a promising alternative to adaptive hyperspectral target detection. It considers a nested spatial window-based target detection (NSWTD) approach for hyperspectral imagery where a set of different spatial windows are nested and implemented to extract targets whose signatures are spectrally and spatially distinct. The use of nested spatial windows is determined by the image pixel resolution and applications. In order to demonstrate the performance of the proposed NSWTD approach, dual nested windows and three nested windows are implemented for computer simulations and real hyperspectral image experiments. The experimental results demonstrate that our proposed NSWTD approach performs effectively and improves a recent adaptive anomaly detector developed by Kwon et al. and the commonly used anomaly detector developed by Reed and Yu, referred to as RX algorithm. Its computation complexity is also very simple.

关键词： Pattern recognition

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