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检索条件"机构=Computer Vision Image Processing Laboratory"
343 条 记 录,以下是171-180 订阅
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A new shape based segmentation framework using statistical and variational methods
A new shape based segmentation framework using statistical a...
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IEEE International Conference on image processing
作者: Melih S. Aslan Hossam Abdelmunim Aly A. Farag Ben Arnold Eslam Mostafa Ping Xiang Computer Vision and Image Processing Lab University of Louisville Louisville KY USA Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Computer and Systems Engineering Department Ain Shams University Cairo Egypt Image Analysis Inc Columbia KY USA
In this paper, we propose a new shape based segmentation and registration of the vertebral bodies (VBs) in clinical computed tomography (CT) images. The VB and surrounding organs have very close gray level information... 详细信息
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ROBUST SPACE-VARIANT SUPER-RESOLUTION
ROBUST SPACE-VARIANT SUPER-RESOLUTION
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2006 IET International Conference on Visual Information Engineering
作者: K.V. Suresh A.N. Rajagopalan Image Processing and Computer Vision Laboratory Department of Electrical Engineering Indian Institute of Technology Madras Chennai India
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A NOVEL FRAMEWORK FOR ACCURATE LUNG SEGMENTATION USING GRAPH CUTS
A NOVEL FRAMEWORK FOR ACCURATE LUNG SEGMENTATION USING GRAPH...
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IEEE International Symposium on Biomedical Imaging
作者: Asem M. Ali Ayman S. El-baz Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville USA Bioengineering Department University of Louisville USA
The closeness of the gray levels between lung tissues and the chest tissues makes lung segmentation based only on image signals difficult. This work proposes an automatic segmentation framework of lung consisting of t... 详细信息
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Modified fuzzy c-mean in medical image segmentation
Modified fuzzy c-mean in medical image segmentation
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: N.A. Mohamed M.N. Ahmed A. Farag E.E. Department Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA
This paper describes the application of fuzzy set theory in medical imaging, namely the segmentation of brain images. We propose a fully automatic technique to obtain image clusters. A modified fuzzy c-mean (FCM) clas... 详细信息
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Modified fuzzy c-mean in medical image segmentation
Modified fuzzy c-mean in medical image segmentation
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: N.A. Mohamed M.N. Ahmed A. Farag Computer Vision and Image Processing Laboratory E.E. Department University of Louisville Louisville KY USA
This paper describes the application of fuzzy set theory in medical imaging, namely the segmentation of brain images. We propose a fully automatic technique to obtain image clusters. A modified fuzzy c-mean (FCM) clas... 详细信息
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ONE-SIDED TRANSPARENCY: A NOVEL VISUALIZATION FOR TUBULAR OBJECTS
ONE-SIDED TRANSPARENCY: A NOVEL VISUALIZATION FOR TUBULAR OB...
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IEEE International Conference on image processing
作者: Robert Curtin Marwa Ismail Aly Farag Chuck Sites Salwa Elshazly Robert Falk Computer Vision and Image Processing Laboratory University of Louisville Kentucky Imaging Technologies Medical Imaging Jewish Hospital
This paper describes a unique method for tubular object visualization. The method involves rendering the exterior of the tube invisible while keeping the interior visible. This "One-sided-transparency" techn... 详细信息
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Motion constraint patterns
Motion constraint patterns
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1993 IEEE Workshop on Qualitative vision, WQV 1993
作者: Fermüller, Cornelia Computer Vision Laboratory Center for Automation Research University of Maryland College ParkMD20742-3275 United States Department for Pattern Recognition and Image Processing Institute for Automation Technical University Vienna Treitlstraße 3 ViennaA-1040 Austria
The problem of egomotion recovery has been treated by using as input local image motion, with the published algorithms utilizing the geometric constraint relating 2-D local image motion (optical flow, correspondence, ... 详细信息
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Volume registration by surface point signature and mutual information maximization with applications in intra-operative MRI surgeries
Volume registration by surface point signature and mutual in...
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IEEE International Conference on image processing
作者: A.M. Eldeib S.M. Yamany A.A. Farag Computer Vision & Image Processing Laboratory University of Louisville Louisville KY USA Computer Science Old Dominion University VA USA
Intra-operative MRI (iMRI) is a new technology that allows near real time updates of scans during a surgical procedure under the magnet. From an initial comprehensive scan, 3D volumes are obtained. During the surgery,... 详细信息
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Automatic Texture Synthesis for Face Recognition from Single Views
Automatic Texture Synthesis for Face Recognition from Single...
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International Conference on Pattern Recognition
作者: Xiaozheng Zhang Yongsheng Gao M.K.H. Leung Computer Vision & Image Processing Laboratory School of Engineering Griffith University Australia School of Computer Engineering Nanyang Technological University Singapore
One possible solution for pose- and illumination-invariant face recognition is to employ appearance-based approaches, which rely greatly on correct facial textures. However, existing facial texture analysis algorithms... 详细信息
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Construction of multi-layer feedforward binary neural network by a genetic algorithm
Construction of multi-layer feedforward binary neural networ...
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International Joint Conference on Neural Networks (IJCNN)
作者: Chi Kin Chow Tong Lee Computer Vision and Image Processing Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China
An approach is introduced to determine the topology of a feedforward binary neural network automatically. The approach is based on a construction algorithm that constructs one layer of hidden nodes at a time until the... 详细信息
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