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IEEE Southeastcon

作者： Jyotirmay Gadewadikar Ognjen Kuljaca Kwabena Agyepong Erol Sarigul Yufeng Zheng Ping Zhang The Sensors and Automation Laboratory Systems Research Institute Alcorn State University USA Vision Research Laboratory Systems Research Institute Alcorn State University USA Pattern Recognition and Image Analysis Laboratory Systems Research Institute Alcorn State University USA Systems Research Institute Alcorn State University USA

This paper gives an introduction to the Bayesian networks for the exploration of implementing a Bayesian belief network for an automated breast cancer detection support tool. It is intuitive that Bayesian networks can be employed as one viable option for computer-aided detection by representing the relationships between diagnoses, physical findings, laboratory test results, and imaging study findings. This paper brings important entities such as Radiologists, image Processing Scientists, Data Base Specialists and Applied Mathematicians on a common platform. A brief background concerning causal networks, probability theory and Bayesian networks is given. Available computational tools and platforms are described. Steps towards building a Bayesian Belief Network Implementation are introduced.

关键词： Bayesian methods Breast cancer Cancer detection Laboratories image sensors Sensor systems Automation image processing Shape Lesions

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Quantitative accuracy of slow-rotating dynamic SPECT

Quantitative accuracy of slow-rotating dynamic SPECT

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： J. Zeintl A. H. Vija A. Yahil J. Hornegger T. Kuwert Pattern Recognition Laboratory University of Erlangen Nuremberg Erlangen Germany Molecular Imaging Siemens Medical Solutions Inc. Hoffman Estates IL USA Image Recon LLC Stony Brook NY USA Clinic of Nuclear Medicine University of Erlangen Nuremberg Germany

We investigated biases in time-activity measurements relevant for quantitative dynamic SPECT/CT imaging when slow-rotating dual-headed gamma camera systems in combination with OSEM-3D (Flash3D) with scatter and attenuation correction are used. The goal was to assess the potential and also the limitations of clinical dual-headed SPECT/CT systems for the quantification of dynamic processes with focus on a renal time-activity function. We used simulations of a SPECT/CT system to estimate absolute quantitation errors in time-activity measurements. We systematically assessed dependencies of these errors on signal to noise ratio and sampling frequencies using a MAG-3 renal time-activity profile. In addition, a physical phantom was developed to measure dynamic processes on a clinical SPECT/CT system. The phantom consisted of a cylindrical chamber placed in a large cylinder phantom and connected to a programmable peristaltic pump. SPECT/CT acquisitions were performed by varying the rotation times of the SPECT system. Absolute activity concentrations were calculated by cross calibrating the imaging system with a well counter and using correction factors derived from simulations. Results from simulations show no significant differences in emission recovery coefficients within the range of 7.5 to 120 seconds per rotation. Phantom experiments using corrections from cross calibration and simulation show average estimation errors of -0.9% and -4.5% for 10 seconds and 60 seconds per rotation, respectively. Conclusion: We showed that quantitation of a renal dynamic process in phantoms using multiple time-contiguous SPECT acquisitions with 3D iterative reconstruction is possible with an accuracy of 4.5%.

关键词： Computed tomography Imaging phantoms Attenuation measurement Optical imaging Cameras Scattering Signal to noise ratio Signal sampling Frequency Counting circuits

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Modified majority voter for triple modular redundancy system

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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology 2009年第SUPPL. 1期41卷 27-30页

作者： Zhang, Yi-Nan Guo, Ping Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing 100875 China Laboratory of Computer Science Institute of Software The Chinese Academy of Sciences Beijing 100080 China

When applying formal majority voter in TMR (triple modular redundancy) fault tolerance system with two error injections, there is a problem that formal majority voter has a low rate of output. To solve this problem, we propose a modified majority voting model with special rules. In the situation of error injection, test result shows that compared with formal majority voter, modified majority voter has a higher rate of correct decision and a lower ratio of benign signals.

关键词： Fault tolerance

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Improving depth resolution of diffuse optical tomography with an exponential adjustment method based on maximum singular value of layered sensitivity

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Chinese Optics Letters 2008年第12期6卷 886-888页

作者：牛海晶郭平宋晓东蒋田仔 Image Processing and Pattern Recognition Laboratory Beijing Normal University School of Computer Science and Technology Beijing Institute of Technology School of Aerospace Science and Engineering Beijing Institute of Technology National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences

The sensitivity of diffuse optical tomography （DOT） imaging exponentially decreases with the increase of photon penetration depth, which leads to a poor depth resolution for DOT. In this letter, an exponential adjustment method （EAM） based on maximum singular value of layered sensitivity is proposed. Optimal depth resolution can be achieved by compensating the reduced sensitivity in the deep medium. Simulations are performed using a semi-infinite model and the simulation results show that the EAM method can substantially improve the depth resolution of deeply embedded objects in the medium. Consequently, the image quality and the reconstruction accuracy for these objects have been largely improved.

关键词： Diagnostic radiography Electroabsorption modulators image quality Light absorption Medical imaging Optical tomography

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Rotation,scaling and translation invariant image watermarking using feature points

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The Journal of China Universities of Posts and Telecommunications 2008年第2期15卷 82-87页

作者： LI Lei-da GUO Bao-long GUO Lei Institute of Intelligent Control and Image Engineering Xidian UniversityXi'an 710071 China National Laboratory of Pattern Recognition Chinese Academy of SciencesBeijing 100080 China

In this article, a novel robust image watermarking scheme is presented to resist rotation, scaling, and translation （RST）. Initially, the original image is scale normalized, and the feature points are then extracted. Furthermore, the locally most stable feature points are used to generate several nonoverlapped circular regions. These regions are then rotation normalized to generate the invariant regions. Watermark embedding and extraction are implemented in the invariant regions in discrete cosine transform domain. In the decoder, the watermark can be extracted without the original image. Simulation results show that the proposed scheme is robust to traditional signal processing attacks, RST attacks, as well as some combined attacks.

关键词： image watermarking geometric attack featurepoint image normalization

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Software-based non-invasive implementation of binocular vision

Software-based non-invasive implementation of binocular visi...

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International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Tong, Gao Xin, Zheng Qian, Yin Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China

ISBN: (纸本)9780769533360

In this paper, we present a software-based noninvasive system to implement binocular stereo vision with the help of polarized glass or other auxiliary equipments. For any application based on OpenGL, our system can give its binocular vision by displaying its original scene as projecting one frame from the left viewpoint and the next frame from the right viewpoint alternately to simulate the imaging on left eye and right eye. Focus and pupillary distance are two parameters in the implementation which we can set manually. By the way of making a new *** to substitute the old one to intercept the OpenGL API functions, we can change the projection matrix and modify the rendering flow non-invasively by overloading some OpenGL API functions without modifying the application's source code. © 2008 IEEE.

关键词： Auxiliary equipment

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Formal Photograph Compression Algorithm Based on Object Segmentation

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International Journal of Automation and computing 2008年第3期5卷 276-283页

作者： Li Zhu Guo-You Wang Chen Wang Laboratory. for Biomedical Image Processing Institute for Pattern Recognition ＆ Artificial Intelligence Huazhong University of Science ＆ Technology Wuhan 430074 PRC School of Mechanical and Aeropace Engineering Nanyang Technological Vnlversity Sigapore 639798 Sigapore

Small storage space for photographs in formal documents is increasingly necessary in today＇s needs for huge amounts of data communication and storage. Traditional compression algorithms do not sufficiently utilize the distinctness of formal photographs. That is, the object is an image of the human head, and the background is in unicolor. Therefore, the compression is of low efficiency and the image after compression is still space-consuming. This paper presents an image compression algorithm based on object segmentation for practical high-efficiency applications. To achieve high coding efficiency, shape-adaptive discrete wavelet transforms are used to transformation arbitrarily shaped objects. The areas of the human head and its background are compressed separately to reduce the coding redundancy of the background. Two methods, lossless image contour coding based on differential chain, and modified set partitioning in hierarchical trees （SPIHT） algorithm of arbitrary shape, are discussed in detail. The results of experiments show that when bit per pixel （bpp）is equal to 0.078, peak signal-to-noise ratio （PSNR） of reconstructed photograph will exceed the standard of SPIHT by nearly 4dB.

关键词： image compression object segmentation lossless image contour coding differential chain set partitioning in hierarchical trees （SPIHT） coding of arbitrarily shaped object.

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High performance word level sequential and parallel coding methods and architectures for bit plane coding

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Science in China(Series F) 2008年第4期51卷 337-351页

作者： XIONG ChengYi TIAN JinWen LIU Jian College of Electronic Information Engineering South-Central University for Nationalities Wuhan 430074 China Institute of Pattern Recognition & Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan 430074 China

This paper introduced a novel high performance algorithm and VLSI architectures for achieving bit plane coding （BPC） in word level sequential and parallel mode. The proposed BPC algorithm adopts the techniques of coding pass prediction and parallel ＆ pipeline to reduce the number of accessing memory and to increase the ability of concurrently processing of the system, where all the coefficient bits of a code block could be coded by only one scan. A new parallel bit plane architecture （PA） was proposed to achieve word-level sequential coding. Moreover, an efficient high-speed architecture （HA） was presented to achieve multi-word parallel coding. Compared to the state of the art, the proposed PA could reduce the hardware cost more efficiently, though the throughput retains one coefficient coded per clock. While the proposed HA could perform coding for 4 coefficients belonging to a stripe column at one intra-clock cycle, so that coding for an NxN code-block could be completed in approximate N2/4 intra-clock cycles. Theoretical analysis and experimental results demonstrate that the proposed designs have high throughput rate with good performance in terms of speedup to cost, which can be good alternatives for low power applications.

关键词： bit plane coding high performance word-level sequential multi-word parallel

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ANT colony optimization algorithm for feature selection and classification of multispectral remote sensing image

ANT colony optimization algorithm for feature selection and ...

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2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

作者： Wen, Lintao Yin, Qian Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781424428083

In classification of multispectral remote sensing image, it is usually difficult to obtain higher classification accuracy if only consider image's spectral feature or texture feature alone. In this paper ,we presents a new approach by applying Ant Colony Optimization (ACO) algorithm to find a multi-feature vector composed of spectral and texture features in order to get a better result in the classification. The experimental results show that ACO algorithm is helpful in subset searching of the features used to multispectral remote sense image's classification. Using the combination of the spectral and texture features obtained by ACO in classification always get a better accuracy. ©2008 IEEE.

关键词： Ant colony optimization

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ECoG Analysis with Affinity Propagation Algorithm

ECoG Analysis with Affinity Propagation Algorithm

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International Conference on Natural Computation (ICNC)

作者： Yuan Yuan An-bang Xu Ping Guo Jia-cai Zhang Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China

Analyzing notor imagery electrocardiogram (ECoG) signal is very challenging for it is hard to set up a classifier based on the labeled ECoG obtained in the first session and apply it to the unlabeled test data obtained in the second session. Here we propose a new approach to analyze ECoG trails in the case of session-to-session transfer exists. In our approach, firstly, dimension reduction is performed with independent component analysis (ICA) decomposition. Secondly, ECoG trials are clustered by an unsupervised learning algorithm called affinity propagation. Primary experimental results show that the proposed approach gives the reasonable result than that using the classical K-means clustering algorithm.

关键词： Algorithm design and analysis Independent component analysis Clustering algorithms Feature extraction Electroencephalography pattern analysis Signal analysis image analysis pattern recognition Signal processing

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