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检索条件"机构=Laboratory for Computer Vision and Image Processing"
342 条 记 录,以下是131-140 订阅
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Segmentation of vertebrae using level sets with expectation maximization algorithm
Segmentation of vertebrae using level sets with expectation ...
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IEEE International Symposium on Biomedical Imaging
作者: Melih S. Aslan Aly A. Farag Ben Arnold Ping Xiang Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Image Analysis Inc. Columbia KY USA
In this paper, we propose a robust level sets method to segment vertebral bodies (VBs) in clinical computed tomography (CT) images. Since the VB and surrounding organs have very close gray level information and there ... 详细信息
来源: 评论
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
来源: 评论
A novel probabilistic simultaneous segmentation and registration using level set
A novel probabilistic simultaneous segmentation and registra...
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IEEE International Conference on image processing
作者: Melih S. Aslan Eslam Mostafa Hossam Abdelmunim Ahmed Shalaby Aly A. Farag Ben Arnold 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
We propose a new shape-based segmentation approach using the statistical shape prior and level sets method. The segmentation depends on the image information and shape prior. Training shapes are grouped to form a prob... 详细信息
来源: 评论
Model-based multiview stereo via level sets with statistical shape prior
Model-based multiview stereo via level sets with statistical...
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IEEE International Conference on image processing
作者: Moumen El-Melegy Nagi Al-Ashwal Aly A. Farag Electrical Engineering Department Assiut University Asyut Egypt Computer Vision and Image Processing Laboratory University of Louisville KY USA
In this paper, we propose a methodology to incorporate 3D shape prior information in multi-view stereo. This is important for applications that deal with specific category of objects. The methodology is based on a new... 详细信息
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Semantic segmentation using regions in natural scenes
Semantic segmentation using regions in natural scenes
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2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
作者: Wu, Shilin Zhu, Feng Hao, Yingming Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Graduate School Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Sciences Shenyang 110016 China Key Laboratory of Image Understanding and Computer Vision Liaoning Province 110016 China
By introducing an over-segmentation algorithm into the conditional model (CM), we propose a new region-based CM model (R-CM), and investigate its performance on semantic segmentation of images. In order to incorporate... 详细信息
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Multiple class segmentation using a scene-based framework
Multiple class segmentation using a scene-based framework
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2011 International Conference on Electronics and Optoelectronics, ICEOE 2011
作者: Wu, Shilin Zhu, Feng Miao, Xikui Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Graduate School of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Sciences Shenyang 110016 China Key Laboratory of Image Understanding and Computer Vision Liaoning Province 110016 China
In this paper, we propose a new scene-based conditional model and investigate its performance on multiple class segmentation of images. By including the scene of an image, we also propose a new texture-environment pot... 详细信息
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Frequency domain feature-based face recognition technique for different poses and low-resolution conditions
Frequency domain feature-based face recognition technique fo...
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IEEE International Workshop on Imaging Systems and Techniques (IST)
作者: Seyed Omid Shahdi S.A.R. Abu-Bakar Computer Vision Video and Image Processing (CvviP) Research Laboratory Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia
Pose variations are known to give real challenges in face recognition system. In this paper we proposed a method to recognize non-frontal faces with high performance by relying only on single full frontal gallery face... 详细信息
来源: 评论
A new segmentation and registration approach for vertebral body analysis
A new segmentation and registration approach for vertebral b...
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IEEE International Symposium on Biomedical Imaging
作者: Melih S. Aslan Asem Ali Aly A. Farag Hossam Abdelmumin Ben Arnold Ping Xiang 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
To diagnose the osteoporosis accurately, the bone mineral density (BMD) measurements of the vertebral bodies (VBs) are required. In this paper, we propose a new segmentation and registration method in order to assist ... 详细信息
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Elastic shape registration using an incremental free form deformation approach with the ICP algorithm
Elastic shape registration using an incremental free form de...
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IEEE International Conference on image processing
作者: Hossam Abdelmunim Aly A. Farag Computer & Systems Engineering Department Ain Shams University Cairo Egypt Computer Vision and Image Processing Laboratory Electrical & Computer Engineering Department University of Louisville Louisville KY USA
Our paper handles the elastic shape registration by combining the incremental free form deformation (IFFD) with the point- based registration technique using the sum of least squares method. The iterative closest poin... 详细信息
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Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest
Evaluation of geometric feature descriptors for detection an...
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IEEE International Symposium on Biomedical Imaging
作者: Amal Farag Asem Ali James Graham Aly Farag Salwa Elshazly Robert Falk Computer Vision and Image Processing Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Medical Imaging Division Jewish Hospital Louisville KY USA
This paper examines the effectiveness of geometric feature descriptors, common in computer vision, for false positive reduction and for classification of lung nodules in low dose CT (LDCT) scans. A data-driven lung no... 详细信息
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