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检索条件"机构=Computer Vision and Image Processing Lab"

共 139 条记录，以下是91-100 订阅

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Probabilistic shape-based segmentation using level sets

Probabilistic shape-based segmentation using level sets

引用

2011 IEEE International Conference on computer vision Workshops, ICCV Workshops 2011

作者： Aslan, Melih S. Abdelmunim, Hossam Farag, Aly A. Computer Vision and Image Processing Lab University of Louisville Louisville KY 40299 United States Computer and Systems Engineering Department Ain Shams University Cairo Egypt

ISBN: (纸本)9781467300629

In this paper, we present a new dynamic and probabilistic shape based segmentation method using statistical and variational approaches. We use two models in this paper: i) intensity and ii) shape. In the first phase, the intensity based segmentation is done using a basic statistical level set method. In the second phase, to which we contribute, the shape model is constructed using the implicit representation of the training shapes. The resulting probability density function is used to embed the shape model into the image domain with a new energy minimization solution. Our method' s invariance to parameter initialization is evaluated through validation, and various synthetic and clinical shape registration examples are implemented. Experiments show that our proposed algorithm enhances the conventional global registration results, overcomes segmentation challenges, and is robust under various noise levels, severe occlusions, and missing parts. © 2011 IEEE.

关键词： Probability density function

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Architectural style classification of building facade windows

Architectural style classification of building facade window...

引用

7th International Symposium on Visual Computing, ISVC 2011

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology Austria Institute of Computer Graphics and Algorithms Pattern Recongition and Image Processing Lab. Vienna University of Technology Austria

Building facade classification by architectural styles allows categorization of large databases of building images into semantic categories belonging to certain historic periods, regions and cultural influences. image databases sorted by architectural styles permit effective and fast image search for the purposes of content-based image retrieval, 3D reconstruction, 3D city-modeling, virtual tourism and indexing of cultural heritage buildings. Building facade classification is viewed as a task of classifying separate architectural structural elements, like windows, domes, towers, columns, etc, as every architectural style applies certain rules and characteristic forms for the design and construction of the structural parts mentioned. In the context of building facade architectural style classification the current paper objective is to classify the architectural style of facade windows. Typical windows belonging to Romanesque, Gothic and Renaissance/Baroque European main architectural periods are classified. The approach is based on clustering and learning of local features, applying intelligence that architects use to classify windows of the mentioned architectural styles in the training stage. © 2011 Springer-Verlag.

关键词： Semantics

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A new shape based segmentation framework using statistical and variational methods

A new shape based segmentation framework using statistical a...

引用

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 and there are no strong edges in some CT images. To overcome these challenges, image appearance and shape information of VBs are used. There are three phases of our experiments: i) the detection of the VB region using the Matched filter, ii) initial segmentation using the graph cuts which integrates the intensity and spatial interaction models, iii) registration of the shape priors and initially segmented region to obtain the final segmentation. Preliminary results show that our proposed algorithm gives very encouraging results and can solve many segmentation and registration problems.

关键词： image segmentation Shape Training Computed tomography Bones Accuracy Vectors

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A novel probabilistic simultaneous segmentation and registration using level set

A novel probabilistic simultaneous segmentation and registra...

引用

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 probabilistic model. The shape model is embedded into the image domain taking in consideration the evolution of a contour represented by a level set function. The evolution of the front gathers information from the image intensities and shape prior. The segmentation approach is applied in segmenting the vertebral bodies in CT images. Our results shows that the technique is accurate and robust compared with the other alternative in the literature.

关键词： Shape image segmentation Level set Computed tomography Accuracy Probabilistic logic

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A fuzzy framework with prior information unifying registration, segmentation and bias field correction of brain MRI

A fuzzy framework with prior information unifying registrati...

引用

IEEE International Conference on image processing

作者： Moumen El-Melegy Hashim Mokhtar Aly A. Farag Electrical Engineering Department Assiut University Asyut Egypt Computer Vision and Image Processing Lab University of Louisville KY USA

This paper introduces a fuzzy framework for the simultaneous segmentation and registration in addition to bias field correction of MRI datasets. The framework utilizes prior information which may be available about the tissues' mean intensities and tissues' distribution through the datasets. Moreover it works on the given, original image intensities without any logarithmic transformation and thus produces more accurate results and faster performance. The algorithm is evaluated using simulated and real brain MRI data. The results show that the algorithm has indeed improved the segmentation accuracy.

关键词： image segmentation Magnetic resonance imaging Accuracy Frequency control Joints Conferences

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Probabilistic shape-based segmentation using level sets

Probabilistic shape-based segmentation using level sets

引用

International Conference on computer vision Workshops (ICCV Workshops)

作者： Melih S. Aslan Hossam Abdelmunim Aly A. Farag Computer Vision and Image Processing Lab University of Louisville Louisville KY USA Computer and Systems Engineering Department Ain Shams University Cairo Egypt

关键词： Shape image segmentation Training Computed tomography Noise Level set Accuracy

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Multi-color ULBP with wavelet transform in invariant pose face recognition

Multi-color ULBP with wavelet transform in invariant pose fa...

引用

IEEE International Conference on Signal and image processing Applications (ICSIPA)

作者： Seyed Omid Shahdi S. A. R. Abu-Bakar Computer Vision Video and Image Processing (CvviP) Research Lab Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

Variation in pose is one of the main obstacles confronting researchers in the area of face recognition. In this paper, a novel method is proposed to explicitly tackle this problem. Multi-color uniform local binary pattern (ULBP) is introduced for extracting salient features along with wavelet transform. Learning scheme is adopted to obtain a mapping coefficient vector between face in a pose and frontal face. Then expected frontal face view vector could be generated by inserting the posed face. Instead of using the entire face, some of its important regions are taken into account. The proposed method relies only on single frontal face image as a gallery image. Results have demonstrated that the proposed method operates well even under the low-resolution conditions.

关键词： Face Vectors Face recognition Feature extraction Wavelet transforms Conferences

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Variational approach for segmentation of lung nodules

Variational approach for segmentation of lung nodules

引用

IEEE International Conference on image processing

作者： Amal A. Farag Hossam Abdelmunim James Graham Aly A. Farag Salwa Elshazly Sabry El-Mogy Mohamed El-Mogy Robert Falk Sahar Al-Jafary Hani Mahdi Rebecca Milam Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY USA Computer & Systems Engineering Department Faculty of Engineering Ain Shams University Cairo Egypt School of Medicine Mansoura University Egypt FJewish Hospital and 3DR Louisville KY USA Department of Radiology University of Louisville USA

Lung nodules from low dose CT (LDCT) scans may be used for early detection of lung cancer. However, these nodules vary in size, shape, texture, location, and may suffer from occlusion within the tissue. This paper presents an approach for segmentation of lung nodules detected by a prior step. First, regions around the detected nodules are segmented; using automatic seed point placement levels sets. The outline of the nodule region is further improved using the curvature characteristics of the segmentation boundary. We illustrate the effectiveness of this method for automatic segmentation of the Juxta-pleural nodules.

关键词： Lungs image segmentation Computed tomography Level set Shape Conferences Databases

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Inpainting large missing regions in range images

Inpainting large missing regions in range images

引用

2010 20th International Conference on Pattern Recognition, ICPR 2010

作者： Bhavsar, Arnav V. Rajagopalan, A.N. Image Processing and Computer Vision Lab. Indian Institute of Technology Madras Chennai India

ISBN: (纸本)9780769541099

We propose a technique to inpaint large missing regions in range images. Such a technique can be used to restore degraded/occluded range maps. It can also serve to reconstruct dense depth maps from sparse measurements which can speed up the acquisition. Our method uses the visual cue from segmentation of an intensity image registered to the range image. Our approach enforces that pixels in the same segment should have similar range. Our simple strategy involves plane-fitting and local medians over segments to compute local energies for labeling unknown pixels. Our results exhibit high quality inpainting with very low errors. © 2010 IEEE.

关键词： Pixels

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Character-based car plate detection and localization

Character-based car plate detection and localization

引用

International Conference on Information Science, Signal processing and Their Applications

作者： Setumin, S. Sheikh, U.U. Abu-Bakar, S.A.R. Computer Vision Video and Image Processing Research Lab. Department of Microelectronics and Computer Universiti Teknologi Malaysia Malaysia

ISBN: (纸本)9781424471676

In this paper we address the issue of locating non-standard Malaysian car license plate. Instead of searching the region for the plate, we directly locate the alphanumeric characters of the car plate. In this manner, we remove issues such as plate size variations and plates on black colored vehicles. Our main goal is to locate and extract the alphanumeric characters of Malaysian special plates. These special plates do not follow the normal standard car plates' format as they may contain italic, cursive and connected letters, and of different fonts. Using several parameters such as pixel compactness, angles, and projection histogram, we use ruledbased technique to locate and detect these special characters of the car plates. The results have shown that we are able to automatically locate with an accuracy of95%. © 2010 IEEE.

关键词： License plates (automobile)

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