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检索条件"机构=Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering"
145 条 记 录,以下是71-80 订阅
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A kidney segmentation approach from DCE-MRI using level sets
A kidney segmentation approach from DCE-MRI using level sets
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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)
作者: H. Abdelmunim Aly A. Farag W. Miller Mohamed AboelGhar Department of Computer Science Computational Biomedicine Laboratory University of Houston Houston TX USA Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering University of Louisville Louisville KY USA Medical School Mansoura University Mansoura Egypt
Acute rejection is the most common reason of graft failure after kidney transplantation, and early detection is crucial to survive the transplanted kidney function. Automatic classification of normal and acute rejecti... 详细信息
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Constrained Markov Random Field Model for Color and Texture image Segmentation
Constrained Markov Random Field Model for Color and Texture ...
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International Conference on Signal processing, Communication and Networking (ICSCN)
作者: Rahul Dey P. K. Nanda Sucheta Panda Image Processing and Computer Vision Lab Department of Electrical Engineering National Institute of Technology Rourkela Orissa India Department of Electronics & Telecommunication Engineering C.V. Raman College of Engineering Bhubaneswar Orissa India
In this paper, the problem of color image segmentation is addressed as a pixel labeling problem. The observed color image is assumed to be the degraded version of the image labels. We have proposed a new Markov random... 详细信息
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A NEW GLOBAL REGISTRATION APPROACH OF MEDICAL IMAGING USING VECTOR MAPS
A NEW GLOBAL REGISTRATION APPROACH OF MEDICAL IMAGING USING ...
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IEEE International Symposium on Biomedical Imaging
作者: Hossam E. Abd El Munim Aly A. Farag Computer Vision and Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA
In this paper, we introduce a novel global image registration approach using vector distance functions (VDF's). Edges of the source and target objects are used to represent their images. The VDF's of these edg... 详细信息
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High Resolution image Reconstruction in Shape from Focus
High Resolution Image Reconstruction in Shape from Focus
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IEEE International Conference on image processing
作者: R. R. Sahay A. N. Rajagopalan Image Processing and Computer Vision Lab Department of Electrical Engineering Indian Institute of Technology Madras Chennai India
In the Shape from Focus (SFF) method, a sequence of images of a 3D object is captured for computing its depth profile. However, it is useful in several applications to also derive a high resolution focused image of th... 详细信息
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A comparision of Model-based methods for knee cartilage segmentation
A comparision of Model-based methods for knee cartilage segm...
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2nd International Conference on computer vision Theory and Applications, VISAPP 2007
作者: Cheong, J. Faggian, N. Langs, G. Suter, D. Cicuttini, F. Dept. of Electrical Dept. of Computer Systems Engineering Monash University Australia Clayton School of Information Technology Monash University Australia Institute for Computer Graphics and Vision Graz University of Technology Austria Pattern Recognition and Image Processing Group Vienna University of Technology Austria Dept. of Epidemiology Dept. of Preventive Medicine Monash University Australia
Osteoarthritis is a chronic and crippling disease affecting an increasing number of people each year. With no known cure, it is expected to reach epidemic proportions in the near future. Accurate segmentation of knee ... 详细信息
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Super-resolution in the presence of space-variant blur
Super-resolution in the presence of space-variant blur
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International Conference on Pattern Recognition
作者: K.V. Suresh A.N. Rajagopalan Image Processing and Computer Vision Laboratory Department of Electrical Engineering IIT Madras Chennai India
An efficient algorithm using maximum a posteriori-Markov random field (MAP-MRF) based approach for recovering a high-resolution image from multiple sub-pixel shifted low-resolution images is proposed. The algorithm ca... 详细信息
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Improving Shape from Focus Using Defocus Information
Improving Shape from Focus Using Defocus Information
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International Conference on Pattern Recognition
作者: K.S. Pradeep A.N. Rajagopalan Image Processing and Computer Vision Laboratory Department of Electrical Engineering Indian Institute of Technology Madras India
Shape from focus (SFF) method determines the degree of focus in a sequence of observations to estimate the shape of a 3-D object. Existing SFF algorithms use an ad hoc interpolation strategy to account for the error d... 详细信息
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AN EFFICIENT REPRESENTATION OF DIGITAL CURVES WITH LINE SEGMENTS AND ELLIPTICAL ARCS
AN EFFICIENT REPRESENTATION OF DIGITAL CURVES WITH LINE SEGM...
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2006 IET International Conference on Visual Information engineering
作者: C. Paramanand A.N. Rajagopalan Department of Electrical Engineering Image Processing and Computer Vision Laboratory Indian Institute of Technology Chennai India
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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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Brain MR image segmentation using tabu search and hidden markov random field model
Brain MR image segmentation using tabu search and hidden mar...
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2nd Indian International Conference on Artificial Intelligence, IICAI 2005
作者: Nanda, P.K. Patra, D. Pradhan, A. Department of Electrical Engineering Image Processing and Computer Vision Laboratory National Institute of Technology Rourkela Orissa 769008 India
In this paper, we propose a hybrid Tabu Expectation Maximization (TEM) Algorithm for segmentation of Brain Magnetic Resonance (MR) images in both supervised and unsupervised framewrok. Gaussian Hidden Markov Random Fi... 详细信息
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