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9th European Signal processing Conference, EUSIPCO 1998

作者： Androutsos, D. Plataniotis, K.N. Venetsanopoulos, A.N. Department of Electrical and Computer Engineering Digital Signal and Image Processing Laboratory University of Toronto 10 King's College Road TorontoONMoS3G4 Canada Ryerson Polytechnic University 350 Victoria Street Toronto ONM5B2K3 Canada

We present a technique for coarsely extracting the regions of natural color images which contain directional detail, e.g.. edges, texture, etc.. and smooth color regions. which we then use for image database indexing. As a measure of color activity, we use a perceptually modified distance measure based on the sum-of-Angles criterion. We then apply histogram thresholding techniques to separate the image into smooth color regions and busy regions where edge, texture and color activity exists. Color segmentation is performed on the smooth areas using HSV histogram techniques, to obtain image regions with one dominant average color. Database indices are then created from the busy regions using the directional detail histogram technique along with the color vectors representing the segmented smooth areas. Image retrieval is then performed using the histogram intersection method for the detailed areas and color vector distance measures are utilized for retrieval of the smooth color regions.

关键词： Color

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FACET: PC-parallel architecture for cost-efficient telemetry processing

FACET: PC-parallel architecture for cost-efficient telemetry...

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IEEE Conference on Aerospace

作者： T. El-Ghazawi P. Chalermwat P. Piamsa-nga A. Ozkaya N. Speciale D. Wilson Computer Engineering and Computer Science Florida Institute of Technology Melbourne FL USA Parallel Architecture Laboratory Department of Electrical Engineering and Computer Science George Washington University Washington D.C. DC USA NASA Goddard Space Flight Center Greenbelt MD USA

NASA's Mission to Planet Earth (MTPE) is planning to launch the Earth Observing System (EOS) starting in 1998. The large number of planned remote sensing satellites will bring 500 Gigabytes of information per day. The EOS Data and Information System (EOSDIS) is responsible for ingesting and archiving this data. One important component of the EOSDIS system is the data operation, which involves extracting the packets and reconstructing and archiving the original remotely sensed data products. Due to transmission errors, the way data is sampled from the different sensors encoded, packets typically arrive out of order and perhaps with some of them missing or repeated. Many special hardware solutions have been proposed to solve this real-time problem. In this paper, we demonstrate a commercial off the shelf (COTS) solution. The hardware capitalizes on the progress made in the area of network of workstations (NOW), particularly PC-clusters. The software and algorithm exploit the data characteristics and parallelism in the telemetry stream to make use of load balancing and efficient parallel processing. It is shown that this solution can provide high-performance to cost and programmability.

关键词： Telemetry Earth Observing System Hardware Planets Remote sensing Satellites Information systems Data mining Out of order Workstations

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A Family Of Order Statistic Based Dissimilarity Measures And Their Application In Image processing

A Family Of Order Statistic Based Dissimilarity Measures And...

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International Conference on Optimization of electrical and Electronic Equipment, OPTIM

作者： C. Vertan V. Buzuloiu R.M. Rangayyan Image Processing and Analysis Laboratory (IPAL) Applied Electronics and Information Engineering DepartmentFaculty of Electronics and Telecommunications Politehnica University Bucharest Romania Department of Electrical and Computer Engineering University of Calgary Calgary AB Canada

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Subset selection analysis for the reduction of hyperspectral imagery

Subset selection analysis for the reduction of hyperspectral...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M. Velez-Reyes L.O. Jimenez Laboratory for Applied Remote Sensing and Image Processing Tropical Center for Earth and Space Studies Electrical and Computer Engineering Department University of Puerto Rico Mayagìez Mayaguez Puerto Rico

Presents the formulation of the dimension reduction problem using subset selection as a matrix approximation problem. A heuristic algorithm to solve this problem is presented. Numerical results using LANDSAT and AVIRIS images show that the selected bands are contained in a space that is almost aligned with the first few principal components.

关键词： Image analysis Hyperspectral imaging Hyperspectral sensors Covariance matrix Random variables Remote sensing Satellites Vectors Laboratories Image processing

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Video segmentation of MPEG compressed data

Video segmentation of MPEG compressed data

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： I. Koprinska S. Carrato Indian Institute of Technology Bangalore Sofia Bulgaria Department of Electrical Engineering and Computer Science (D.E.E.I.) Image Processing Laboratory University of Trieste Trieste Italy

An approach for parsing MPEG compressed video into shots and sub-shots based only on the macroblock (MB) and motion vector (MV) information is presented. The system follows a two-pass scheme and has a hybrid rule-based/neural structure. A rough scan over the P frames locates the potential shot boundaries and the solution is then refined by a precise scan over the B frames of the respective neighborhoods. The "simpler" boundaries are recognized by the rule-based module, while the decisions for the "complex" ones are refined by the neural part. The latter is also used to distinguish dissolves from object and camera motions and to break the shots into sub-shots. The experiments demonstrate high speed and accuracy in shot detection and their characterization.

关键词： Video compression Transform coding Cameras Image coding Image reconstruction Image segmentation Gunshot detection systems Histograms Image processing Laboratories

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parallel algorithms for simultaneous scheduling, binding and floorplanning in high-level synthesis

Parallel algorithms for simultaneous scheduling, binding and...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： P. Prabhakaran P. Banerjee Center for Reliable and High-Performance Computing Coordinated Science Laboratory University of Illinois Urbana-Champaign IL USA Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University Evanston IL USA

With small device features in submicron technologies, interconnection delays play a dominant part in cycle time. Hence, it is important to consider the impact of physical design during high level synthesis. In comparison to a traditional approach which separates high-level synthesis from physical design, an algorithm which is able to make these stages interact very closely, would result in solutions with lower latency and area. However, such an approach could result in increased runtimes. parallel processing is an attractive way of reducing the runtimes. In this paper, two parallel algorithms for simultaneous scheduling, binding and floorplanning algorithm are presented. A detailed hardware model is considered, taking into account multiplexor and register areas and delays. Experimental results are reported on an IBM SP-2 multicomputer, with close to linear speedups for a set of benchmark circuits.

关键词： parallel algorithms High level synthesis Runtime Integrated circuit interconnections Delay effects Algorithm design and analysis parallel processing Scheduling algorithm Hardware Registers

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Twin-image removal by digital filtering and optical scanning holography

Twin-image removal by digital filtering and optical scanning...

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Southeastern Symposium on System Theory

作者： Taegeun Kim Ting-Chung Poon G. Indebetouw Optical Image Processing Laboratory Bradely Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA Physics Department Virginia Polytechnic Institute and State University Blacksburg VA USA

We propose an adjusted digital filtering method to overcome the Nyquist limitation of the iterative algorithm used to eliminate the twin image and demonstrate its advantages over existing algorithms. We also have appl... 详细信息

关键词： Optical filters Holographic optical components Digital filters Filtering Holography Image reconstruction Bandwidth Optical noise Optical recording Convolution

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Normal mammogram analysis and recognition

Normal mammogram analysis and recognition

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IEEE International Conference on Image processing

作者： Sheng Liu C.F. Babbs E.J. Delp Department of Basic Medical Sciences School of Veterinary Medicine Purdue University West Lafayette IN USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Presents a novel approach to the problem of computer aided analysis of digital mammograms for breast cancer detection: namely, the development of algorithms to recognize unequivocally normal mammograms. First, the authors eliminate amorphous "clouds" or "blobs" in mammograms produced by normal glandular tissue of varying density using local average subtraction. Then the authors identify and remove normal connective tissue markings based on a set of specially designed line detectors. Any abnormality that may exist in the mammogram is therefore enhanced in the residual image, which makes the decision regarding the normality of the mammogram, much easier.

关键词： Lesions Biomedical imaging Medical diagnostic imaging Breast Cancer Tumors Image processing Laboratories Biomedical engineering computer aided analysis

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A Region-Based Representation of Images in MARS

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Journal of VLSI Signal processing Systems for Signal, Image, and Video Technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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Object-based coding of stereo image sequences using three-dimensional models

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1997年第6期7卷 892-905页

作者： Malassiotis, S Strintzis, MG Information Processing Laboratory Department of Electrical and Computer Engineering University of Thessaloniki Thessaloniki Greece

An object-based stereo image coding algorithm is proposed. The algorithm relies on modeling of the object structure using 3-D wire-frame models and motion estimation using globally rigid and locally deformable motion models. Algorithms for the estimation of motion and structure parameters from stereo images are described. Motion parameters are used to construct predicted images by mapping the image texture on the object surface. Coding of object parameters, appearing background regions, and prediction errors are investigated, and experimental results with standard stereo image sequences depicting general scenes are presented. The proposed algorithm is seen to be very efficient for applications such as stereoscopic video transmission. Furthermore, it is especially well suited to advanced applications such as generation and transmission of intermediate views for multiview receiver systems and applications in which object-wise editing of the bit stream is required. The latter include video production using preanalyzed scenes and virtual reality applications.

关键词： 3-D models object-based coding stereo sequences

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