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检索条件"机构=Computer Vision and Image Processing LaboratoryDepartment of Electrical and Computer Engineering"
146 条 记 录,以下是121-130 订阅
Analysis of texture images using robust fractal description
Analysis of texture images using robust fractal description
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1995 IEEE Southwest Symposium on image Analysis and Interpretation, IAI 1994
作者: Avadhanam, N. Mitra, S. Center for Image Processing and Integrated Computing Dept. of Electr. and Comput. Eng. California Univ. DavisCA95616 United States Computer Vision and Image Analysis Lab Dept. of Electrical Engineering Texas Tech University LubbockTX79401 United States
A maximum likelihood estimation (MLE) method is used to estimate the fractal dimension of a number of natural texture images with and without the presence of noise. An additional texture measure which can be linked to... 详细信息
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Analysis of texture images using robust fractal description
Analysis of texture images using robust fractal description
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IEEE Southwest Symposium on image Analysis and Interpretation
作者: N. Avadhanam S. Mitra Center for Image Processing & Integrated Computing Department of Electrical & Computer Engineering University of California Davis CA USA Computer Vision and Image Analysis Lab Department of Electrical Engineering Texas Tech University Lubbock TX USA
A maximum likelihood estimation (MLE) method is used to estimate the fractal dimension of a number of natural texture images with and without the presence of noise. An additional texture measure which can be linked to... 详细信息
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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...
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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
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 te... 详细信息
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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... 详细信息
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Local estimation of Gaussian-based edge enhancement filters using Fourier analysis
Local estimation of Gaussian-based edge enhancement filters ...
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1993 IEEE International Conference on Acoustics, Speech, and Signal processing
作者: B. Wang D.M. Rose A.A. Farag E.J. Delp Engineering Mathematics & Computer Science Department Speed Scientific School University of Louisville Louisville KY USA Computer Vision & Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA
An empirical measure for the selection of the edge-enhancement Gaussian filter is developed. The Gaussian filter is specified by its standard deviation sigma ; the filter's spatial support is a function of sigma .... 详细信息
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A STUDY OF THE GENERALIZED MORPHOLOGICAL FILTER
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CIRCUITS SYSTEMS AND SIGNAL processing 1992年 第1期11卷 229-252页
作者: SONG, JS DELP, EJ 1. Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University 47907 West Lafayette Indiana USA
A new class of morphological filters is proposed for image enhancement. The filter, known as the generalized morphological filter (GMF), uses multiple structuring elements and combines linear and morphological operati... 详细信息
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On empirical estimation of the parameters of edge enhancement filters
On empirical estimation of the parameters of edge enhancemen...
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IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992
作者: Farag, Aly A. Cao, Yu Rose, D.M. Delp, Edward J. Engineering Mathematics and Computer Science Dept. Speed Scientific School University of Louisville LouisvilleKY40292 United States Computer Vision and Image Processing Lab. School of Electrical Engineering Purdue University West LafayetteIN47907 United States
Edge-based image segmentation is a two-stage process;edge enhancement followed by edge linking. Modern approaches for edge enhancement use either the gradient of the Gaussian operator (VG) or the Laplacian of the Gaus... 详细信息
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On empirical estimation of the parameters of edge enhancement filters
On empirical estimation of the parameters of edge enhancemen...
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IEEE International Conference on Systems, Man and Cybernetics
作者: A.A. Farag Y. Cao D.M. Rose E.J. Delp Engineering Mathematics & Computer Science Department Speed Scientific School University of Louisville Louisville KY USA Computer Vision & Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA
The authors develop an empirical measure for the selection of the Gaussian filter that is commonly used for edge enhancement. The measure is based totally on the image at hand. Edge enhancement by a Gaussian filter ha... 详细信息
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Medial axis representation and encoding of scanned documents
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Journal of Visual Communication and image Representation 1991年 第2期2卷 151-165页
作者: Brandt, Jonathan W. Jain, Anil K. Ralph Algazi, V. Computer Vision Research Lab CIPIC: The Center for Image Processing and Integrated Computing United States Department of Electrical Engineering and Computer Science University of California Davis CA 95616 United States
The medial axis transform (MAT) is a sparse representation of shape, which, being reversible, has potential for binary image compression. The MAT also provides structural information not accessible with alternative bi...
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Automatic neural arbor reconstruction
Automatic neural arbor reconstruction
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IEEE Symposium on Nuclear Science (NSS/MIC)
作者: P.M. Gregson Computer Vision and Image Processing Laboratory Department of Electrical Engineering Technical University of Nova Scotia Halifax NS Canada
An algorithm for detecting neural processes in serial optical sections for use in an automated three-dimensional neural reconstruction system is presented. This parsimonious, nonlinear, psychophysically motivated algo... 详细信息
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