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检索条件"任意字段=Image Processing: Algorithms and Systems X;and Parallel Processing for Imaging Applications II"

共 1177 条记录，以下是1091-1100 订阅

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AUTOMATIC TARGET DETECTION IN INFRARED SEQUENCES THROUGH SEMANTIC LABELING

AUTOMATIC TARGET DETECTION IN INFRARED SEQUENCES THROUGH SEM...

引用

CONF ON applications OF DIGITAL image processing 13

作者： LAVAGETTO, F Univ. di Genova (Italy)

ISBN: (纸本)0819404101

An innovative algorithm is presented for the automatic detection of spot targets in infrared terrain image sequences. The algorithm is designed to successfully perform target detection also in presence of deceitful hot background structures such as rocks and sand representing the hottest regions of the scene. The original contribution is represented by the thermal model adopted for the infrared scene and which drives the intraframe processing by iteratively applying three processing steps: i) thresholding ii) clustering iii) semantic labeling. The aim of the intraframe segmentation module is first to detect well contrasted targets and then verify the presence of less contrasted ones on the hypothesis that they all belong to the same formation. At each iteration within the intraframe analysis the thermal threshold is lowered and the hot part of the scene is processed to look for the presence of targets. By theans of different clustering procedures the hot part of the scene is partitioned into a set of connected objects each characterized by a feature vector consisting of area peak thermal value and centroid coordinates. The objects which correspond to the target model are marked as potential targets. If they have been already detected during the previous iterations without sensible changes in the descriptive parameters they are labeled as " confirmed" targets. If on the contrary the area has significantly increased they are labeled as " expanded" targets. If a

关键词： Target detection image segmentation image processing Detection and tracking algorithms Infrared radiation Digital image processing image processing algorithms and systems Target recognition Infrared detectors Infrared imaging

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USC orthogonal multiprocessor for image processing with neural networks

USC orthogonal multiprocessor for image processing with neur...

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parallel Architectures for image processing

作者： Hwang, K. Panda, D.K. Haddadi, N. Univ of Southern California Los Angeles United States

ISBN: (纸本)0819402931

This paper presents the architectural features and imaging applications of the Orthogonal MultiProcessor (OMP) system, which is under construction at the University of Southern California with research funding from NSF and assistance from several industrial partners. The prototype OMP is being built with 16 Intel i860 RISC microprocessors and 256 parallel memory modules using custom-designed spanning buses, which are 2-D interleaved and orthogonally accessed without conflicts. The 16-processor OMP prototype is targeted to achieve 430 MIPS and 600 Mflops, which have been verified by simulation experiments based on the design parameters used. The prototype OMP machine will be initially applied for image processing, computer vision, and neural network simulation applications. We summarize important vision and imaging algorithms that can be restructured with neural network models. These algorithms can efficiently run on the OMP hardware with linear speedup. The ultimate goal is to develop a high-performance Visual Computer (Viscom) for integrated low- and high-level image processing and vision tasks.

关键词： image processing

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DESIGN AND IMPLEMENTATION OF MOMENT INVARIANTS FOR PATTERN-RECOGNITION IN VLSI

DESIGN AND IMPLEMENTATION OF MOMENT INVARIANTS FOR PATTERN-R...

引用

CONF ON HYBRID image AND SIGNAL processing 2

作者： ARMSTRONG, GA SIMPSON, ML BOULDIN, DW Oak Ridge National Lab. (United States) Univ. of Tennessee (United States)

ISBN: (纸本)0819403482

This paper describes the design of a very large scale integration (VLSI) application specific integrated circuit (ASIC) for use in pattern recognition. The pattern recognition scheme uses Hu1 and Mailra''s2 algorithms for moment invariants. A prototype design was generated that resolved the long delay time of the multiplier by custom designing adder cells based on the Manchester carry chain. Use of the Manchester carry chain effectively incorporated the lookahead carry function into the adder cells. The prototype ASIC is currently being fabricated in 2. 0-mm compiled simulator for metal oxide semiconductor (CMOS) technology (simulated at 20 MHz). The prototype consisted of a 4x8 multiplier and a 12-bit accumulator stage. The present ASIC design consists of a 9x26 multiplier (maximum propagation time of 50 ns) and a 48-bit accumulator stage. The final ASICs will be used in parallel at the board level to achieve the 56 MegaPixels/s [230 million operations per second (MOPs)] necessary to perform the moment invariant algorithms in real time on 512x512 pixel images with 256 grey scales. 2.

关键词： Clocks image processing Prototyping Pattern recognition Signal processing Very large scale integration Algorithm development Detection and tracking algorithms Transistors imaging systems

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DIGITAL TAPE BASED MASS image STORAGE AND RETRIEVAL-SYSTEM

DIGITAL TAPE BASED MASS IMAGE STORAGE AND RETRIEVAL-SYSTEM

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CONF ON STORAGE AND RETRIEVAL systems AND applications

作者： VOLTERRA, H Scan-Optics Inc. (United States)

A nass image storage and retrieval system is described that utilizesdigital tape for image storage, and provides fast retrieval of imagebatches from a tape archive through use of multiple retrieval tapedrives in paral... 详细信息

ISBN: (纸本)0819402958

A nass image storage and retrieval system is described that utilizes digital tape for image storage, and provides fast retrieval of image batches from a tape archive through use of multiple retrieval tape drives in parallel. Suitable applications are described and system cost is compared with alternative storage media.

关键词： image retrieval image storage Digital imaging image processing image quality Digital image processing Optical discs Optical character recognition Scanners Feature extraction

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Miniaturized real-time processor for image sequence analysis

Miniaturized real-time processor for image sequence analysis

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Real-Time image processing ii

作者： Jacobi, William J. Kendall, William B. Wadsworth, Leo A. Space Computer Corp Santa Monica United States

ISBN: (纸本)0819403466

Powerful new signal processing algorithms are now becoming available for such tasks as the detection and tracking of multiple targets via image sequence analysis. For typical real-time applications, these algorithms require throughputs on the order of hundreds to thousands of MFLOPS. In order to achieve such throughputs, it is necessary to employ parallel processing architectures, which normally require large size, weight and power consumption for their implementation. We have developed a high-performance, programmable MIMD processor called the SCC-100 which is particularly well-suited for miniaturization using hybrid wafer-scale packaging technology. A 20-node configuration with a peak throughput in excess of 1 GFLOPS will be packaged in a three-inch cube using this approach.

关键词： Optical systems

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Nonlinear image processing

Nonlinear Image Processing

引用

Nonlinear image processing

This conference proceedings contains 25 papers. The main subjects are color image processing, median and order statistic filters, morphological and stack filters, nonlinear filters, neural networks applications, image... 详细信息

ISBN: (纸本)081940294X

关键词： image processing

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Performance analysis of a proposed parallel architecture for image processing applications

Performance analysis of a proposed parallel architecture for...

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parallel Architectures for image processing

作者： Faruque, Abdullah Fong, Yushan David Clarkson Univ Potsdam United States

ISBN: (纸本)0819402931

This paper presents an analytical method to measure the performance of a proposed parallel processing computer architecture for image processing applications. The main idea behind this architecture is to carry out image processing work in a highly parallel manner so that the response time is shorter. The proposed architecture keeps both the processor and the memory system as busy as possible in order to obtain faster response time and proper utilization of the hardware compared to a conventional parallel processing architecture. Our proposed architecture consists of an array of processing elements(PEs), a system control unit(SCU), interconnection network and memory modules. Each PE contains two central processing units (CPU), one is responsible for the execution of all non-memory operations and the other is responsible for all memory operations. The overall response time of a job is faster because we divide the actual execution and the memory operation into two separate entities and carry them out concurrently. We develop an analytical method to evaluate the performance of the proposed architecture in terms of processor utilization and number of busy memory modules. We also present some image processing algorithms suitable for the proposed architecture and analyze their performance compared to the conventional system. The results we obtained indicate that our architecture provides better processor utilization, response time and memory usages compared to a conventional parallel architecture.

关键词： Computer Architecture

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INFRARED image SEGMENTATION THROUGH ITERATIVE THRESHOLDING

INFRARED IMAGE SEGMENTATION THROUGH ITERATIVE THRESHOLDING

引用

2ND CONF ON REAL-TIME image processing

作者： LAVAGETTO, F Univ. di Genova (Italy)

ISBN: (纸本)0819403466

A real time segmentation algorithm for infrared sequences is presented, based on the iterative application of thermal histogram processing and thresholding. The segmentation algorithm is intrinsically not sequential and may therefore be decomposed into a graph of concurrent processing tasks well suited to a parallel implementation. The algorithm is based on the assumption that two pixel populations are present, namely object and background. Since in this hypothesis the separation goodness function should have one single maximum, the algorithm forces this behaviour by redistributing the area of the histogram, i.e. by progressively brightening the target population. An initialization phase finds out potential target areas throughout the current frame in cooperation with a temporal tracking and labeling task, and compiles the search windows set. For each search window the thermal histogram is computed. Then a family of modified histograms is obtained by removing greater and greater areas from the hot tail of the original histogram and by replacing it with an impulse of the same area at the highest extreme of the thermal range. Each of these histograms enters a module which computes a separation goodness function. The separation function presents two adjacent segments: the high thermal segment and the low thermal segment. The former is a constant segment which lasts from the high extreme of the thermal range down to the lowest thermal value of the removed area, the latter has a variable shape and lasts as far as the lowest extreme of the thermal range. The iteration is stopped as soon as the variable segment reaches a monotonically decreasing behaviour. The boundary value between the two segments is chosen as threshold within that window. Experimental results are presented.

关键词： image segmentation image processing Infrared radiation Thermography Infrared imaging Thermal modeling Algorithm development Binary data Detection and tracking algorithms image processing algorithms and systems

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SYDAMA-ii - A FAST COMPUTER FOR MACHINE VISION

引用

SYMP ON CLOSE-RANGE PHOTOGRAMMETRY MEETS MACHINE VISION

作者： GUNZINGER, A GUGGENBUHL, W HILTEBRAND, E MATHIS, S SCHAEREN, P SCHNEUWLY, B STOKAR, D ZELTNER, M Swiss Federal Inst of Technology Zuerich Switzerland

ISBN: (纸本)0819404411

In this paper a parallel computer architecture for real time image processing is described. The architecture centers on the direct mapping of a synchronous dataflow graph on hardware and software. Each node (or group of nodes) is replaced by a hardware or software module. The processing elements are interconnected by a flexible and fast communication network based on multiple interruptable buses. The prototype SYDAMA I (SYnchronous DAtaflow MAchine) has been built. On this system, many low level image processing algorithms run in real time at video rate. applications of the system are real time computer vision, real time image enhancement, real time color segmentation, real time depth data processing, robotics, and autonomous vehicle guidance.

关键词： Computer Architecture

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AFFINE MORPHOLOGY AND AFFINE SIGNAL MODELS

AFFINE MORPHOLOGY AND AFFINE SIGNAL MODELS

引用

CONF ON image ALGEBRA AND MORPHOLOGICAL image processing

作者： MARAGOS, P Harvard Univ. (United States)

ISBN: (纸本)081940411X

Affine signal transformations are useful for modeling self-similar structures in fractal images and shape deformations in visual motion. In the first part of this paper a theoretical framework, called affine morphology, is developed to analyze parallel and serial superpositions of affine image transformations. Affine morphology unifies and extends translation-invariant morphological image transformations and their rotation/scaling-invariant generalizations by using action of affine groups on lattices. Several theoretical aspects of affine morphology are explored for binary images. In the second part of the paper, the affine transformations are extended to gray-level images and arbitrary signals, and affine models are developed by using a sum superposition of affine signal transformations. A solution is then given to the problem of estimating the parameters of this sum-affine model using least squares algorithms, and some applications are outlined for image and speech signal processing.

关键词： Affine motion model image processing Motion models Binary data Superposition Fractal analysis systems modeling Visual process modeling Mathematical modeling Visualization

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