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CONF ON ADVANCED SIGNAL-processing algorithms, ARCHITECTURES, AND IMPLEMENTATIONS

作者： RESNIKOFF, HL BURRUS, CS Aware Inc. (United States) Aware Inc. and Rice Univ. (United States)

ISBN: (纸本)0819404098

This paper derives the relationship between the coefficients of the Fourier expansion of a periodic signal and the coefficients of the wavelet expansion of the same signal. The formula derived shows how the Fourier concept of frequency and the wavelet concept of scale are related and how the wavelet coefficients display the information contained in the signal in a new way. The relationship also shows how the wavelet expansion can be used to approximately calculate the Fourier coefficients.

关键词： Wavelets Fourier transforms Wavelet transforms Computing systems Digital signal processing Mathematical modeling Signal processing systems modeling Feature extraction Mathematics

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FAST PARALLEL algorithms - FROM IMAGES TO LEVEL SETS AND LABELS

FAST PARALLEL ALGORITHMS - FROM IMAGES TO LEVEL SETS AND LAB...

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CONF ON PARALLEL ARCHITECTURES FOR IMAGE processing

作者： NGUYEN, HT JUNG, KK RAGHAVAN, R Lockheed Palo Alto Research Lab. (United States)

ISBN: (纸本)0819402931

Decomposition into level sets refers to assigning a code with respect to intensity or elevation while labeling refers to assigning a code with respect to disconnected regions. We present a sequence of parallel algorithms for these two processes. The process of labeling includes re-assign labels into a natural sequence and compare different labeling algorithm. We discuss the difference between edge-based and region-based labeling. The speed improvements in this labeling scheme come from the collective efficiency of different techniques. We have implemented these algorithms on an in-house built Geometric Single Instruction Multiple Data (GSIMD) parallel machine with global buses and a Multiple Instruction Multiple Data (MIMD) controller. This allows real time image interpretation on live data at a rate that is much higher than video rate. The performance figures will be shown.

关键词： Image processing Binary data Image segmentation Detection and tracking algorithms Image processing algorithms and systems Parallel computing Parallel processing Array processing information operations video

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CONCURRENT IMAGE-processing ON HYPERCUBE MULTICOMPUTERS

CONCURRENT IMAGE-PROCESSING ON HYPERCUBE MULTICOMPUTERS

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CONF ON PARALLEL ARCHITECTURES FOR IMAGE processing

作者： GHOSH, J Univ. of Texas/Austin (United States)

ISBN: (纸本)0819402931

This paper presents a simple and effective method for the concurrent manipulation of linearly ordered data structures on hypercube systems, and extends it to cater to multidimensional images. The method is based on the existence of a binomial search tree rooted at any arbitrary processor node of the hypercube such that (i) every edge of the tree corresponds to a direct link between a pair of hypercube nodes, and (ii) it spans any arbitrary sequence of n consecutive nodes as specified by a gray code ordering, using a fan-out of at most [log₂n] and a depth of ([log₂n] + 1) . The search trees spanning different processor lists are vertex disjoint and are formed dynamically and concurrently, They can be specified using information local to each node. Thus, they can be used for performing operations such as broadcast and merge simultaneously on image components with non-uniform sizes. The concurrent search reduces the complexity of several low and intermediate-level image processing algorithms to depend on the size of the largest image segment rather than the size of the entire image.

关键词： Image processing Image segmentation Algorithm development algorithms Binary data Image processing algorithms and systems Image filtering visualization Thermography Computer engineering

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MAXIMUM IMAGE-RESTORATION IN NUCLEAR-MEDICINE

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IEE PROCEEDINGS-I COMMUNICATIONS SPEECH AND viSION 1990年第3期137卷 163-169页

作者： OLIVEIRA, VA NIGHTINGALE, JM UNIV SOUTHAMPTON DEPT ELECT ENGNSOUTHAMPTON SO9 5NHHANTSENGLAND

The problem of image restoration from noisy measurements as encountered in nuclear medicine is considered. A model for the emission/detection process is introduced, which is based on the Poisson statistics of the emissions and a point-spread function for the imaging system. A new approach for treating the measurements is given, in which they are represented by a spatial non-causal interaction model before maximum entropy restoration, which describes the statistical dependence among the image values and their neighbourhood. The particular application of the algorithms presented here relates to gamma-ray imaging systems, and is aimed at improving the resolution–noise-suppression product. Results for actual gamma camera data are presented and compared with more conventional techniques.

关键词： emission/detection process nuclear medicine Radiation and radioactivity applications in biomedicine gamma camera data point-spread function Patient diagnostic methods and instrumentation resolution-noise-suppression product picture processing interference suppression gamma-ray imaging systems patient diagnosis radioisotope scanning and imaging image restoration optical information, image and video signal processing maximum entropy restoration gamma-ray detection and measurement X-rays and particle beams (medical uses) Poisson statistics noisy measurements spatial noncausal interaction model

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IMAGE PATTERN algorithms USING NEURAL NETWORKS

IMAGE PATTERN ALGORITHMS USING NEURAL NETWORKS

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CONF ON HYBRID IMAGE AND SIGNAL processing 2

作者： KASPARIS, T EICHMANN, G GEORGIOPOULOS, M HEILEMAN, GL Univ. of Central Florida (United States) City College/CUNY (United States)

ISBN: (纸本)0819403482

The ability to classify texture regions in images is considered to be an important aspect of scene analysis. The information gained from such classification can be used by a computer vision system to assist in image segmentation as well as object identification. In this paper, the use of a neural network model in performing classification of images containing regular textures is investigated. The texture features used in the classification process are Hough transform-based descriptors. The performance and capabilities of the neural network approach are then compared to classical technique utilizing a linear associative memory.

关键词： Neural networks Image classification Feature extraction Hough transforms Evolutionary algorithms Image processing Signal processing Image segmentation Content addressable memory Computing systems

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Liquid crystal spatial light modulator using amorphous silicon photoconductor

Liquid crystal spatial light modulator using amorphous silic...

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optical information processing systems and Architectures 1989

作者： Song, Peng Wu, Qihong Tang, Jinfa Department of Optical Engineering Zhejiang University Hangzhou China

The development of a reflection mode nematic field effect a-Si:H LCLV is described. The amorphous silicon photoconductor layer is deposited by glow discharge without doping. The configuration also consists of dielectric mirror as CdS LCLVs do. The bias frequency is in the range of 500Hz to lOKHz. MTF, sensitivity and time response of the device arc measured. High resolution of >501p/mm and switching time less than 25ms are achieved. Also reported is an equivalent circuit mode which has been compared with experimental results. © 1990 SPIE. All rights reserved.

关键词： II-vi semiconductors

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Advances in optical information processing IV

Advances in Optical Information Processing IV

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Advances in optical information processing IV

ISBN: (纸本)0819403474

This conference proceedings contains 41 papers arranged in five sections. Section 1 reviews ongoing research in optical processing including recent results in optical correlator, optical computer photorefractive, and spatial light-modulating device research. Section 2 deals with new developments in filter design, particularly phase-only filters and experimental filter implementations. Section 3, covering optical processing is devoted primarily to new developments in 2D-optical signal processing systems for spectral analysis and range/doppler signal processing. Section 4 concerns acousto-optic spectrum analyzer systems and components. Section 5 deals with optical computing and presents various algorithms and architectures for computing.

关键词： optical Data processing

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GENERAL MOTION ESTIMATION AND SEGMENTATION

GENERAL MOTION ESTIMATION AND SEGMENTATION

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CONF ON viSUAL COMMUNICATIONS AND IMAGE processing 90

作者： WU, SF KITTLER, J Univ. of Surrey (United Kingdom)

ISBN: (纸本)0819404217

An algorithm is proposed to estimate the general motion of multiple moving objects in an image sequence. The general motion is described by a general motion model which is specified by number of parameters called motion parameters. By estimating the individual motion of the objects, segmentation according to motion is achieved at the same time. The algorithm works directly on an image sequence without using any higher level information such as corners and edges. Furthermore, it is not necessary to go through the estimation of optical flow as an intermediate step, avoiding the error caused by estimating optical flow.

关键词： Image segmentation Motion estimation Motion models Image processing visual communications Image processing algorithms and systems optical flow Error analysis Motion measurement Image filtering

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SHAPE FROM DEFOCUS AND SHADING

SHAPE FROM DEFOCUS AND SHADING

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CONF ON APPLICATIONS OF DIGITAL IMAGE processing 13

作者： CHA, KC CHOI, JS Chung-Ang Univ. (South Korea)

ISBN: (纸本)0819404101

We suggest an active method for overcoming a discontinuous problem of shape from shading. In general the characreteristics of discontinuity doesn''t well come out in scene. Hence we use a camera with the small depth of field so that the attribute of discontinuity is exposed appropriately. In this case 3D information is represented by the degree of defocusing in 2D image plane. And objects in scene can be segmented according to the degree of defocusing. We simulate four algorithms - Brooks Horn''s algorithm the revised its algorithm the resistive net without line processor and the up and low threshold resistive net with respect to the synthetic image. We can see that the success of algorithm depends on the precision of detecting the degree of defocus.

关键词： 3D image processing Image processing Image processing algorithms and systems Cameras Computer vision technology Digital image processing Machine vision Neurons Image segmentation visualization

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IMAGE COMPRESSION USING A NEURAL NETWORK WITH LEARNING CAPABILITY OF VARIABLE FUNCTION OF A NEURAL UNIT

IMAGE COMPRESSION USING A NEURAL NETWORK WITH LEARNING CAPAB...

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CONF ON viSUAL COMMUNICATIONS AND IMAGE processing 90

作者： KOHNO, R ARAI, M IMAI, H Yokohama National Univ. (Japan)

ISBN: (纸本)0819404217

This paper proposes image compression using an advanced neural network in which a variable input-output function of a neural unit can be learnt as well as a weight coefficient of a neural connection corresponding to information source and application. Since the neural network has the improved learning capability for local nonlinearity of information source, its application to compression of nonlinear information such as image is investigated. A learning algorithm and adaptive controlling schemes of input-output functions are derived. Simulation results show that the neural network can achieve higher SNR and shorter learning time than a conventional network having only variable weights.

关键词： Neural networks Image compression Complex systems Nonlinear optics Signal to noise ratio Image processing Quantization visual communications Data hiding Evolutionary algorithms

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