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OCEANS

作者： K. Plakas E. Trucco A. Fusiello Computer Vision Group and Ocean Systems Laboratory Department of Computing and Electrical Engineering Heriot-Watt University USA Dipartimento di Matematica e Informatica Universita di Udine Italy

We present an uncalibrated vision system recovering 3D reconstructions of underwater scenes using no camera calibration at all. The only information available is a set of point correspondences plus some a-priori knowledge on the scene structure. The system includes three main components: a robust tracker, which targets optimal features for video tracking, and implements a completely automatic mechanism for rejecting unstable image features; a module computing a projective reconstruction of the scene from the set of features declared reliable by the tracker; and a module recovering the target Euclidean reconstruction from the projective one, employing a-priori knowledge of the distances between five identifiable scene points. We sketch the design of each component and report experiments with our working implementation on real data sets, collected by cameras immersed in our laboratory tank.

关键词： Layout Cameras image reconstruction computer vision Target tracking Application software Laboratories Machine vision Calibration Underwater tracking

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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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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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Applications of direct 3D motion estimation for underwater machine vision systems

Applications of direct 3D motion estimation for underwater m...

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OCEANS

作者： S. Nagahdaripour X. Xu A. Khamene Dept. of Electr. & Comput. Eng. Miami Univ. Coral Gables FL USA Underwater Vision and Imaging Laboratory Electrical and Computer Engineering Department University of Miami Coral Gables FL USA

vision can provide unique capabilities under favorable visibility conditions during the operation of intelligent or autonomous underwater vehicles in deep ocean. We describe a real time vision system for positioning and station keeping, navigation, and sea floor image mosaicing. These developments exploit a direct methodology for 3D motion estimation from time varying underwater imagery. We present sample results from experiments for evaluating the performance and accuracy of the system, based on measurements from an independent sensor.

关键词： Motion estimation Intelligent vehicles Machine intelligence Underwater vehicles Oceans Real time systems Machine vision Navigation Sea floor Sea measurements

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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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On asymptotic convergence of the dual filters associated with two families of biorthogonal wavelets

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1997年第12期45卷 2928-2940页

作者： Wei, D Bovik, AC Laboratory for Vision Systems Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

The asymptotic behavior of the dual filters associated with biorthogonal spline wavelet (BSW) systems and general biorthogonal Coifman wavelet (GBCW) systems are studied. As the order of the wavelet systems approaches infinity, the magnitude responses of the dual filters in the BSW systems either diverge or converge to some nonideal frequency responses. However, the synthesis filters in the GBCW systems converge to an ideal halfband low pass filter without exhibiting any Gibbs like phenomenon, and a subclass of the analysis filters also converge to an ideal halfband lowpass filter but with a one-sided Gibbs-like behavior. The two approximations of the ideal lowpass filter by the filter associated with a Daubechies orthonormal wavelet and by the synthesis filter in a GBCW system of the same order are compared. Such a study of the asymptotic behaviors of wavelet systems provides insightful characterization of these systems and systematic assessment and global comparison of different wavelet systems.

关键词： Convergence Filters H infinity control Frequency response Wavelet analysis Spline Transfer functions Lagrangian functions Machine vision Gaussian processes

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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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3D reconstruction of the human jaw from a sequence of images

3D reconstruction of the human jaw from a sequence of images

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Conference on computer vision and Pattern Recognition (CVPR)

作者： M. Ahmed S. Yamany E. Hemayed S. Ahmed S. Roberts A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

A novel approach is proposed to obtain a record of the patient's occlusion using computer vision. Data acquisition is obtained using intra-oral video cameras. The technique utilizes shape from shading to extract 3D information from 2D views of the jaw, and a novel technique for 3D data registration using genetic algorithms. The resulting 3D model can be used for diagnosis, treatment planning, and implant purposes. The overall purpose of this research is to develop a model-based vision system for orthodontics to replace traditional approaches. This system will be flexible, accurate, and will reduce the cost of orthodontic treatments.

关键词： image reconstruction Humans computer vision Data acquisition Cameras Shape Data mining Genetic algorithms Implants Machine vision

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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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International Conference on Neural Networks

作者： M.N. Ahmed A.A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

We present a 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 adapted to real-time imaging scenarios.

关键词： Neural networks image segmentation Biomedical imaging Feature extraction Principal component analysis Computed tomography Magnetic resonance imaging Brain Labeling Clustering algorithms

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Reconstruction of vector fields in bounded domain vector tomography

Reconstruction of vector fields in bounded domain vector tom...

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IEEE International Conference on image Processing

作者： N.F. Osman J.L. Prince Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

This paper considers the problem of vector tomography on an arbitrary bounded domain in three dimensions. Previous work has given the formulas for the reconstructed scalar and vector potential functions in relation to the vector field values inside the domain and on the boundary of the domain. Using these formulas. It is shown that the curl-free component can be reconstructed using only one probe measurement, and the divergence-free component can be reconstructed using only two probe measurements. No boundary measurements are necessary.

关键词： Tomography Probes image reconstruction Magnetic field measurement Magnetic materials image analysis Laboratories Doppler measurements Magnetic resonance imaging Acoustic measurements

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