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检索条件"机构=Computer Vision and Image Processing Laboratory Electrical and Computer Engineering"

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Anisotropic diffusion pyramids for image segmentation

Anisotropic diffusion pyramids for image segmentation

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IEEE International Conference on image processing

作者： S.T. Acton A.C. Bovik M.M. Crawford School of Electrical & Computer Engineering Oklahoma State University Stillwater OK USA Department of Electrical & Computer Engineering Laboratory for Vision Systems Center for Vision and Image Science Center for Space Research and Department of Mechanical Engineering University of Texas Austin Austin TX USA

We introduce the Anisotropic Diffusion Pyramid (ADP), a structure for multiresolution image processing. We also develop the ADP for use in region-based segmentation. The pyramid is constructed using the anisotropic diffusion equations, creating an efficient scale-space representation. Segmentation is accomplished using pyramid node linking. Since anisotropic diffusion preserves edge localization as the scale is increased, the region boundaries in the coarse-to-fine ADP segmentation are accurately delineated. An application to segmentation of remotely sensed data is provided. The results of ADP segmentation are compared to Gaussian-based pyramidal segmentation. The examples show that the ADP has a superior ability to subdivide the image into integral groupings, minimizing the error in boundary localization and in pixel intensity.< >

关键词： Anisotropic magnetoresistance image segmentation Smoothing methods Equations image resolution Pixel computer vision Machine vision Hemorrhaging Radiometry

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Real-time histogram generation using optical scanning

Real-time histogram generation using optical scanning

引用

Southeastern Symposium on System Theory

作者： R.J. Pieper J.K. Richstein C.-M. Ho A. Lee T.-C. Poon Department of Electrical and Computer Engineering Naval Postgraduate School Monterrey CA USA Optical Image Processing Laboratory Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

A prototype of an optical-electronic histogram generator has been designed and tested for 1-D objects. In this scheme, the object to be analyzed is laser scanned. The resulting optical signal is detected by a photodetector which generates an electrical signal output which is subsequently analyzed with a combination of analog and digital electronics. The system has shown to be fairly modular in design. Various aspects of the extension of the design to two dimensions is discussed.< >

关键词： Histograms Circuits Signal generators Nonlinear optics Clocks Photodetectors Mirrors Signal analysis Optical scattering Signal processing

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A CMOS VLSI IC for real-time opto-electronic two-dimensional histogram generation

A CMOS VLSI IC for real-time opto-electronic two-dimensional...

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Southeastern Symposium on System Theory

作者： J.K. Richstein D.J. Fouts R.J. Pieper T.-C. Poon Department of Electrical and Computer Engineering Naval Postgraduate School Monterrey CA USA Optical Image Processing Laboratory Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

Histogram generation, a standard image processing operation, is a record of the intensity distribution in the image. A prototype of an optical-electronic histogram generator has been designed and tested for 1D objects using wirewrapped MSI TTL components (Richstein et al. 1993). The overall system design is such that the electronic signal obtained from the optically scanned two-dimensional semi-opaque image is processed and displayed within a period of one cycle of the scanning process. The authors report a VLSI design to be used in a two-dimensional real-time histogram generation scheme.< >

关键词： Very large scale integration CMOS integrated circuits Histograms Optical recording image generation image processing Prototypes Optical devices Optical design Testing

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Real-time frame-to-frame automatic contour detection on echocardiograms

Real-time frame-to-frame automatic contour detection on echo...

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computers in Cardiology (CinC)

作者： J.G. Bosch G. van Burken S.S. Schukking R. Wolff A.J. van de Goor J.H.C. Reiber Laboratory for Clinical and Experimental Image Processing Department of Diagnostic Radiology University Hospital Leiden Netherlands Department of Computer Architecture Faculty of Electrical Engineering Delft University of Technnology Netherlands

A PC-based system for real-time left ventricular endocardial contour detection on echocardiographic images has been developed in our laboratories. The system consists of an IBM-compatible PC equipped with a commercially available frame grabber and the special-purpose Minimum Cost Contour Detector (MCCD) board developed for this project. The MCCD board uses 1 or 2 Intel i960 processors and receives digital images (512*512*8 bit) from the frame grabber over a digital video bar in real time. The contour detection algorithm is based on dynamic programming. Detected contours and other results are transferred to the host via the AT-bus. processing time is short enough for real-time performance in a practical situation. Area of contours and regional areas in 8 segments are calculated in real time and displayed in graphs on the host system. The MCCD board is fully programmable and may be used for similar real-time contour detection applications, e.g. for X-ray angiography and intravascular ultrasound.< >

关键词： Real time systems Laboratories Costs Digital images Detection algorithms Dynamic programming X-ray detection X-ray detectors Angiography Ultrasonic imaging

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AN INVESTIGATION OF THE USE OF HIGH-PERFORMANCE COMPUTING FOR MULTISCALE COLOR image SMOOTHING USING MATHEMATICAL MORPHOLOGY

AN INVESTIGATION OF THE USE OF HIGH-PERFORMANCE COMPUTING FO...

引用

CONF ON image MODELING

作者： COOK, GW COMER, ML DELP, EJ Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette 47907-1285 IN United States

ISBN: (纸本)081941137X

The use of mathematical morphology in low- and mid-level image processing and computer vision applications has allowed the development of a class of techniques for analyzing shape information in color images. These techniques have shown to be useful in image enhancement, segmentation, and analysis. In this paper, we develop and test scalable parallel algorithms necessary to implement a class of morphological filters on a parallel computer, specifically, the MasPar MP-1. We examine the issues relative to the parallel implementation of the algorithms and show that real-time enhancement of high resolution color images is possible. © 1993 SPIE. All rights reserved.

关键词： Mathematical morphology

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A new adaptive image contrast enhancement method

A new adaptive image contrast enhancement method

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image and Video processing 1993

作者： Yu, Tian-Hu Mitra, S.K. Department of Electrical and Computer Engineering Signal and Image Processing Laboratory University of California Santa BarbaraCA93106 United States

In direct methods of contrast enhancement, a contrast measure is first defined, which is then modified by a mapping function to generate the pixel value of the enhanced image. Various mapping functions such as the square root function, the exponential function, etc., have been introduced for the contrast measure modification. However, these functions do not produce satisfactory contrast enhancement results and are usually sensitive to noise and digitization effects. In addition, they are computationally complex from the point of view of implementation. In this paper, we propose a simple polynomial mapping function for the contrast measure modification. The polynomial function is easy to implement on digital computers and provides very satisfactary contrast enhancement. We also introduce an adaptive clipping technique to control the dynamic range of the output image. © 1993 SPIE. All rights reserved.

关键词： Exponential functions

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Adaptive control of redundant multilink robot using fussy logic

Adaptive control of redundant multilink robot using fussy lo...

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Applications of Fuzzy Logic Technology 1993

作者： Su, Xiongmin Mitra, Sunanda Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University LubbockTX79409-3102 United States

The kinematics model of multilink robot manipulator involves solution of the inverse problem. The use of fuzzy logic based linguistic rules demonstrates superior performance over classical, computationally intensive and yet approximate solutions for the target position control and tracking control of multilink robot arm. A new approach to fuzzy distance and restriction measures is used to obtain the appropriate orientations of the links for avoiding obstacles in the robot trajectories. This approach eliminates the classical task of solving highly coupled, nonlinear equations describing the illposed inverse problems of multilink robot motion at a much less demanding computational time. Such clear advantage of fuzzy logic based adaptive controller are illustrated by simulation results of guidance of a multilink robot in target positioning and trajectories tracking. The simulation results involve a threelink robot arm with capability of moving from one position to any desired position and tracking defined trajectories accurately. A modified fuzzy rule based distance measure allows the robot to follow trajectories without hitting the obstacles in the path. The simulation results indicate the advantage of fuzzy logic based adaptive controllers in multiple criteria decision-making tasks. © 1993 SPIE. All rights reserved.

关键词： Trajectories

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The use of high performance computing in JPEG image compression

The use of high performance computing in JPEG image compress...

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Asilomar Conference on Signals, Systems & computers

作者： G.W. Cook E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

The problem inherent to any digital image (or digital video) system is the large amount of bandwidth required for transmission or storage. This has driven the research area of image compression to develop more complex algorithms that compress images to lower data rates with better fidelity. One approach that can be used to increase the execution speed of these complex algorithms is to implement the algorithms on a parallel supercomputer. The authors address the parallel implementation of the JPEG still image compression standard on the MasPar MP-1, a massively parallel SIMD computer. They demonstrate that the greatest difficulty lies not with the compression algorithm per se, but with the speed bottleneck that arises in the output of the compressed image. They develop a parallel output algorithm which addresses this problem and present results which show real-time performance on 1024/spl times/1024 images.< >

关键词： High performance computing Transform coding image coding image storage Digital images Video compression Bandwidth Supercomputers Concurrent computing Compression algorithms

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Identification of noise outliers in clustering by a fuzzy neural network

Identification of noise outliers in clustering by a fuzzy ne...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： S. Pemmaraju S. Mitra Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University Lubbock TX USA

Since most real data sets encountered in cluster analysis are contaminated with background noise or outliers, it is essential to detect and isolate these noise samples from the data set. A few noisy points can affect the clustering procedure by severely biasing the algorithm. An ideal solution to this problem is to identify all the outliers and form a separate noise cluster. To do so, a technique is required by which the noise points are automatically identified and removed from the pattern data. The authors present a modified adaptive fuzzy leader clustering (AFLC) algorithm that has been used to detect and eliminate the outliers from the data structure and create a separate cluster of the outliers. The AFLC algorithm has an adaptive resonance theory (ART) like architecture with fuzzy learning embedded into it. Test results of the algorithm when applied to real and noisy data sets are presented.< >

关键词： Intelligent networks Fuzzy neural networks Clustering algorithms Background noise Subspace constraints image analysis Data structures Neural networks computer vision Laboratories

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A new method for estimating dimensions and 3-D reconstruction of coronary arterial trees from biplane angiograms

A new method for estimating dimensions and 3-D reconstructio...

引用

Annual IEEE Symposium on computer-Based Medical Systems

作者： T. Kayikcioglu S. Mitra Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University Lubbock TX USA

The coronary arteries may be represented and visualized efficiently by a generalized cylinder (GC) model with elliptical cross-sections. By using this model and utilizing quadratic expression of an ellipse, the intensity distribution of an ellipse in any image plane, which is perpendicular to the plane of the arterial cross-section, is computed. A nonlinear parametric model for observed intensity distribution of an arterial cross-section is applied to estimate not only cross-sectional areas but also parameters of the ellipse which are essential in 3-D reconstruction of an arterial segment. This model takes into account background intensity, noise and blurring. Performance of this model has been tested on computer-generated and actual data for various background types and noise values and compared to those of other methods for estimating arterial dimensions. The computed cross-sectional areas from our model for computer-generated as well as actual data demonstrate much less variability than those reported in recent literature. 3-D reconstruction of arterial segments from actual biplane angiograms is presented.< >

关键词： Three dimensional displays Arteries Background noise Diseases Parameter estimation Visualization Parametric statistics image reconstruction Shape Bones

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