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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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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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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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1.5V resistive fuse for image smoothing and segmentation

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ELECTRONICS LETTERS 1997年第10期33卷 851-852页

作者： Athreya, JKV Gregson, PH Department of Electrical Engineering Computer Vision and Image Processing Laboratory Technical University of Nova Scotia Halifax Canada

A 1.5V resistive fuse for image smoothing and segmentation using bulk-driven MOSFETs is presented. The circuit switches on only if the differential voltage applied across its input terminals is less than a set voltage;it switches off if the differential voltage is higher than the set value. The useful operation range of the circuit is 0.4V with a supply voltage of 1.5V and threshold voltages of V-Tn = 0.828V and V-Tp = -0.56V for n and g channel MOSFETs, respectively.

关键词： image processing segmentation (image processing)

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Two-stage neural network for volume segmentation of medical images

Two-stage neural network for volume segmentation of medical ...

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1997 IEEE International Conference on Neural Networks (ICNN 97)

作者： Ahmed, MN Farag, AA Computer Vision and Image Processing Laboratory University of Louisville Department of Electrical Engineering Louisville KY 40292 United States

ISBN: (纸本)0780341236

In this paper, we present a new system to segment and label CT/MRI Brain slices using feature extraction and unsupervised clustering. In this technique, each voxel is assigned a feature pattern consisting of a scaled family of differential geometrical invariant features. The invariant feature pattern is then assigned to a specific region using a two-stage neural network system. The first stage is a self-organizing principal components analysis (SOPCA) network that is used to project the feature vector onto its leading principal axes found by using principal components analysis. This step provides an effective basis for feature extraction. The second stage consists of a self-organizing feature map (SOFM) which will automatically cluster the input vector into different regions. The optimum number of regions (clusters) is obtained by a model fitting approach. Finally, a 3D connected component labeling algorithm is applied to ensure region connectivity. Implementation and performance of this technique are presented. Compared to other approaches, the new system is more accurate in extracting 3D anatomical structures of the brain, and can be apdated to real-time imaging scenarios.

关键词： segmentation pattern analysis learning in vision

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Temporal prediction of video sequences using an image warping technique based on color segmentation 9th

Temporal prediction of video sequences using an image warpin...

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9th International Conference on image Analysis and processing, ICIAP 1997

作者： Herodotou, N. Venetsanopoulos, A.N. Digital Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of Toronto 10 King's College Road TorontoONM5S 3G4 Canada

ISBN: (纸本)3540635076

An image warping technique based on segmented regions is introduced for the temporal prediction of videophone-type sequences. At the encoder, a set of control points are determined from the previous frame and their corresponding best matched points are determined from the current frame. The selection process of these points is achieved by segmenting the previous frame into different regions using a color segmentation technique based on a recursive histogramming approach and the control points are subsequently chosen along the region boundaries. The spatial offset of these points between the previous and current frame are represented as motion vectors. The facial area is intraframe encoded to avoid distortions of the facial features which convey critical information. At the decoder, the same segmentation and control point selection algorithm is used along with the motion vectors in order to find the region boundaries of the predicted frame. The facial area is decoded and an affine transformation is finally used to determine the remaining regions and form the predicted frame. This technique produces results that are free from blocking artifacts as in the conventional block matching method, with only a moderate increase in computational complexity. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Decoding

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