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IEEE International Symposium on Biomedical Imaging

作者： Alireza Akhondi-Asl Kourosh Jafari-Khouzani Hamid Soltanian-Zadeh Image Analysis Laboratory Department of Diagnostic Radiology Henry Ford Health System Detroit MI USA School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424441259

We introduce a 3D segmentation framework which uses principal shapes. The probabilistic energy function of the method is defined based on intensity, tissue type, and location information of the structures using a multiple atlas method. For intensity information, nonparametric probability density function is used which considers intensity relation of different structures. To find a local minimum of the energy function, a two-step optimization strategy is used. In the first step, shape parameters are optimized based on the analytic derivatives of the energy function. In the second step, shapes of the structures are fine-tuned using a level set method. The proposed method is shown to be superior to some popular methods in the literature using a dataset of 64 patients with mesial temporal lobe epilepsy. In addition, the method can be used for lateralization with accuracy close to that of manual segmentation.

关键词： Hippocampus Temporal lobe Epilepsy image segmentation Principal component analysis Shape control Probability density function Level set Skull Algorithm design and analysis

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Design for rational B̀�zier harmonic and biharmonic surfaces

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of computer-Aided Design and computer Graphics 2010年第8期22卷 1331-1338页

作者： Shi, Yanhui Wang, Guojin Institute of Computer Graphic and Image Processing Department of Mathematics Zhejiang University Hangzhou 310027 China State Key Laboratory of CAD and CG Zhejiang University Hangzhou 310027 China

Considering the complexity of the rational B´zier harmonic surfaces, in this paper an approximated algorithm for constructing rational B´zier harmonic surfaces is proposed. By using polynomial curves and surfaces to approximate rational curves and surfaces and constructing B´zier harmonic surfaces with the Monterde method, the rational B´zier harmonic surface modeling problem can be transformed into an optimization problem of how to minimize a nonlinear function with a limited number of variables under a linear constrained condition. The proposed algorithm is also extended into constructing the rational B´zier biharmonic surfaces. The method is validated by examples of biharmonic surfaces of degree three and harmonic surfaces of degree two and three .The experimental results show that the algorithm proposed performs well in the application of constructing rational B´zier harmonic surfaces and biharmonic surfaces.

关键词： Polynomial approximation

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A novel method of fingerprint minutiae extraction based on Gabor phase

A novel method of fingerprint minutiae extraction based on G...

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IEEE International Conference on image processing

作者： Xin Gao Xiaoguang Chen Jia Cao Zirui Deng Chongjin Liu Jufu Feng Key Laboratory of Machine Perception MOE Department of Machine Intelligence School of Electronics Engineering and Computer Science Peking University Beijing China Institute of Image Processing and Pattern Recognition North-China University of Technology Beijing China

In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transform domain, i.e. the Gabor phase field of the fingerprint image. This is different from most existing minutiae extraction methods, in which the minutiae are usually extracted from the binarized and thinned fingerprint image. Experimental results on benchmark data sets demonstrate that the proposed algorithm has promising performances.

关键词： Pixel Feature extraction image quality Fingerprint recognition Detectors Frequency estimation Software algorithms

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Model reference adaptive neural network control for a class of switched nonlinear singular systems

Model reference adaptive neural network control for a class ...

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International Symposium on Systems and Control in Aerospace and Astronautics (ISSCAA)

作者： Xin Chen Fei Long Zhumu Fu Institute of Intelligent Information Processing Department of Mathematics College of Science Guizhou University Guiyang Guizhou China Institute of Intelligent Information Processing College of Computer Science and Information Guizhou University Guiyang Guizhou China Electronic Information Engineering College Henan University of Science and Technology Luoyang China

ISBN: (纸本)9781424460434

In this paper, we address the reference model adaptive neural network control problem for a class of switched nonlinear singular systems under the case of single input and multiple inputs. Based on RBF neural network, the state tracking controller and a switching strategy are designed so that switched nonlinear singular system can asymptotically track the desired reference model. It shows that RBF neural network are used to approximate the positive nonlinear unknown function. The approximation errors of the RBF neural networks are introduced to the adaptive law in order to improve the performance of the whole systems. A simulation example is performed in support of the proposed neural control scheme.

关键词： Switches Artificial neural networks Adaptive systems Adaptation model Approximation methods Equations

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Live Cell Segmentation in Fluorescence Microscopy via Graph Cut

Live Cell Segmentation in Fluorescence Microscopy via Graph ...

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International Conference on Pattern Recognition

作者： Milán Leskó Zoltan Kato Antal Nagy Imre Gombos Zsolt Török Laszlo Vigh Jr László Vígh Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary Molecular Stress Biology Group Institute of Biochemistry Biological Research Center Hungarian Academy of Sciences (ATOMKI) Hungary Molecular Stress Biology Group Biological Research Center

We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is sub modular. Thus the exact energy minima is obtained via a max-flow/min-cut algorithm. The method has been quantitatively evaluated on synthetic images as well as on fluorescence microscopic images of live cells.

关键词： image segmentation Microscopy Pixel Computational modeling Mathematical model Biomembranes Biology

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An analysis of the combination of global and local models for activity recognition in videos

An analysis of the combination of global and local models fo...

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Congress on image and Signal processing, CISP

作者： Weiyao Lin Hongxiang Li Chunli Wang Wei Li Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiaotong University Shanghai China Department of Electrical and Computer Engineering North Dakota State University Fargo ND USA School of Information Science & Technology Dalian Maritime University Dalian China School of Computer Science & Engineering Beihang University Beijing China

In this paper, we propose and analyze a framework of combining the global and local models for improving the activity recognition performance. Under the framework, several global-local-model combination methods are proposed for activity recognition. The advantages of combining the global and local models are also analyzed in detail. Experimental results demonstrate that the proposed framework can not only improve the recognition performance but also release the loads for parameter selection.

关键词： Hidden Markov models Solid modeling Videos Adaptation model Analytical models Accuracy Load modeling

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Evaluating deformation patterns of the thoracic aorta in gated CTA sequences

Evaluating deformation patterns of the thoracic aorta in gat...

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IEEE International Symposium on Biomedical Imaging

作者： Ernst Schwartz Roman Gottardi Johannes Holfeld Christian Loewe Martin Czerny Georg Langs Computational Image Analysis and Radiology Lab (CIR) Medical University of Vienna Austria Pattern Recognition and Image Processing Group University of Technology Vienna Austria Division of Cardiothoracic Surgery Department of Surgery Medical University of Vienna Austria Division of Interventional Radiology Department of Radiology Medical University of Vienna Austria Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology USA

ISBN: (纸本)9781424441259;9781424441266

Cardiovascular interventions in the region of the aortic isthmus such as stent-grafting and vessel transposition introduce substantial changes in the deformation properties of the affected vessels. The changes play a fundamental role in the long-term prognosis for any such treatment, but are only poorly understood to date. We explore a fully automated method to quantify the deformation patterns of the thoracic aorta in gated computed tomography sequences. The aorta is segmented by a level set approach that accurately identifies the vessel lumen in each frame of the sequence. Consequently, landmarks on the vessel wall in each frame are registered using a probabilistic method. This allows for the measurement of global and local deformation properties. We evaluate our method on synthetic datasets and report first results of its application on real world data.

关键词： Biomedical imaging image segmentation Radiology Cardiology Surgery Computed tomography Level set Electrocardiography Pathology Deformable models

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Easy cross parameterization for articulated shapes

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第10期10卷 1428-1438页

作者： Jian-wei HU Li-gang LIU Guo-zhao WANG Institute of Computer Graphics and lmage Processing Department of Mathematics Zhejiang University Hangzhou 310027 China Department of Mathematics Huangshan University Huangshan 245041 China

This paper presents a novel interactive system for establishing compatible meshes for articulated *** two mesh surfaces,our system automatically generates both the global level component correspondence and the local level feature *** can use some sketch-based tools to specify the correspondence in an intuitive and easy *** all the other vertex correspondences could be generated *** cross parameterization preserves both high level and low level features of the *** technique showed in the system benefits various applications in graphics including mesh inter-polation,deformation transfer,and texture transfer.

关键词： Sketch Compatible mesh Vertex correspondence Cross parameterization

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An efficient hierarchical segmentation approach for remote sensing images

An efficient hierarchical segmentation approach for remote s...

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MIPPR 2009 - Automatic Target Recognition and image Analysis: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Kong, Dingke Wang, Guozhao Institute of Computer Graphics and Image Processing Department of Mathematics Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9780819478061

Segmentation is one of the key problems in remote sensing image processing, and a cluster hierarchy is a powerful tool to analyze data on multiple scales. In this paper, we present an optimal hierarchical remote sensing image segmentation approach which is a combination of feature-based classification, multi-scale region merging and classification-based object refinement, and it is shown to have the following properties: 1) it gets better results on general remote sensing images;2) it offers a flexible segmentation hierarchy at a less computational cost. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image segmentation

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The method of image restoration in the environments of dust

The method of image restoration in the environments of dust

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IEEE International Conference on Mechatronics and Automation

作者： Yuanyu Wang Yuanzong Li Tianxu Zhang Department of Computer Fundamental Education TaiYuan University of Technology TaiYuan China College of Mechanical Engineering TaiYuan University of Technology TaiYuan China Institute for Pattern Recognition and A.I State Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology WuHan China

In order to solve the problem of image degradation caused by dust environments, an image degradation model considering multiple scattering factors caused by dust was first established using the first-order multiple scattering method. Then, a dark channel prior principle was applied to present an image restoration algorithm based on the image degradation model. Finally, a particle swarm optimization algorithm was applied to optimize the atmospheric light and the exposure parameters. This optimization algorithm was established according to the criterion of the image evaluation based on kirsch operator with dual threshold. By using the method an optimistic result of image restoration was obtained. The experimental results have shown that the method not only enhanced luminance and contrast, but also discovered more detail edges information. The method provided a foundation for target recognition in the dust environments.

关键词： image edge detection image restoration Degradation Atmospheric modeling Optical scattering Optical imaging

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