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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Zoltan Nagy Laszlo Kek Zoltan Kincses Andras Kiss Peter Szolgay Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department Information Technology Pázmány Péter Catholic University Budapest Hungary Department Image Processing and Neurocomputing University of Pannonia Veszprem Hungary

Array computers can be useful in the solution of numerical spatiotemporal problems such as partial differential equations (PDEs). IBM has recently introduced the cell broadband engine (Cell BE) Architecture, which contains 8 identical vector processors in an array structure. In the paper the implementation of the 3-D Princeton Ocean Model on the Cell BE is discussed. The area/speed/power tradeoffs of our solution and different hardware implementations are also compared.

关键词： computer architecture Microprocessors Registers Arrays Mathematical model Random access memory Equations

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Dim small targets fusion detection in infrared image

Dim small targets fusion detection in infrared image

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yu-Qiu Sun Yu Zheng Jin-Wen Tian Jian Liu School of Information and Mathematics Yangtze University Jingzhou China State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China State Education Commission Key Laboratory for Image Processing and Intelligent Control Department of Electronic Information and Enginery of Huazhong University of Science and Technology Wuhan China

To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast threshold. The experimental results show that the method proposed in this paper using wavelet transformation fractal dimension to fuse dual band infrared images, and then detect targets is better than using mid-wave or long -wave infrared images detect targets alone.

关键词： Fractals Wavelet transforms Pixel Object detection Fuses Approximation methods Manganese

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An image enhancement technique in the DCT domain for cancer detection

An image enhancement technique in the DCT domain for cancer ...

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Asilomar Conference on Signals, Systems & computers

作者： Xiaoming Liu Qingling Sun Jinshan Tang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Image Processing and Bio-imaging Research Laboratory Systems Research Institute Department of Advanced Technologies Alcorn State University Lorman MS USA

In this paper, we develop an image enhancement technology in the DCT domain for radiologists to screen mammograms. The proposed algorithm is an improved version of the algorithm developed. The improved algorithm overcomes the shortcomings of the old algorithm which requires manual adjustment of multiple parameters to realize non-uniform enhancement in different frequency bands. The proposed image enhancement algorithm is expressed as an optimization problem. In the optimization problem, the optimal local enhancement factors are found so that the target global contrast value is achieved which is specified by a user. Because it's a multi-variable optimization problem, genetic algorithm is used to search the optimal parameters. The experimental results show that the algorithm is progressive.

关键词： image enhancement Discrete cosine transforms Cancer detection Breast cancer image coding Mammography image processing Genetic algorithms Wavelet transforms X-ray detection

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An improved WSQ fingerprint image compression algorithm

An improved WSQ fingerprint image compression algorithm

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Asilomar Conference on Signals, Systems & computers

作者： Jinshan Tang Xiaoming Liu College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Image Processing and Bio-Imaging Reasearch Laboratory Systems Research Institute Department of Advanced Technologies Alcorn State University Lorman MS USA

The wavelet/scalar quantization (WSQ) [1] fingerprint image compression algorithm is effective and has been widely applied to fingerprint image compression. However, WSQ cannot control the compression ratio and its performance on fuzzy images is poor. We propose an improved WSQ fingerprint image compression algorithm to overcome the above shortcomings. Our algorithm uses a mixed quantizer so that the algorithm can treat fuzzy and non-fuzzy fingerprint images separately. In order to control the compression ration, an optimization parameters for a specific compression ratio. The proposed algorithm is compared with the traditional WSQ fingerprint image compression algorithm and the results are encouraging.

关键词： Fingerprint recognition image matching Compression algorithms

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An extension of Bernstein-Bezier surface over the triangular domain

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Progress in Natural Science:Materials International 2007年第3期17卷 352-357页

作者： CAO Juan and WANG Guozhao (institute of image processing and computer Graphic, department of mathematics, Zhejiang University, Hangzhou 310027, China) [a]Deparfrnent of Mathematics Institute of Image Processing and Computer Graphic Zheiang University Hangzhou China

In this paper, a set of quasi-Bernstein polynomials of degree n with one parameter is presented, which is an extension of the Bernstein polynomials over the triangular domain. Using the presented polynomials as basis functions, we construct a class of shape adjusting surfaces defined over the triangular domain with a shape parameter, namely, quasi-B-B parametric surfaces. These surfaces share many properties with the B-B parametric surfaces. In particular, when shape parameters equal 1, they degenerate to be the B-B parametric surfaces. By changing the value of the shape parameter, we can get different surfaces under the fixed control net.

关键词： triangular domain shape parameter Bezier surfaces.

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A unifying framework for spectral analysis based dimensionality reduction

A unifying framework for spectral analysis based dimensional...

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International Joint Conference on Neural Networks (IJCNN)

作者： Tianhao Zhang Dacheng Tao Xuelong Li Tie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Biometrics Research Centre Department of Computing Hong Kong Polytechnic University Hong Kong China School of Computer Science and Information Systems University of London UK

Past decades, numerous spectral analysis based algorithms have been proposed for dimensionality reduction, which plays an important role in machine learning and artificial intelligence. However, most of these existing algorithms are developed intuitively and pragmatically, i.e., on the base of the experience and knowledge of experts for their own purposes. Therefore, it will be more informative to provide some a systematic framework for understanding the common properties and intrinsic differences in the algorithms. In this paper, we propose such a framework, i.e., ldquopatch alignmentrdquo, which consists of two stages: part optimization and whole alignment. With the proposed framework, various algorithms including the conventional linear algorithms and the manifold learning algorithms are reformulated into a unified form, which gives us some new understandings on these algorithms.

关键词： Algorithm design and analysis Optimization Spectral analysis Weight measurement Classification algorithms Artificial neural networks Level measurement

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Uniform algebraic-trigonometric spline curves

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Journal of Information and Computational Science 2007年第2期4卷 463-474页

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

Based on the space spanned by {1, t, , tn-5, sint, cost, t sin t, t cos t}, (n≥5), this paper presents a new kind of uniform splines. These splines are called uniform algebraic-trigonometric splines, which share most of the properties as those of the B-splines in the polynomial space. Such splines can encompass conical solenoids, involutes of circles and some other transcendent curves. The subdivision scheme of this new kind of curves is given, and it is verified to be convergent. The subdivision scheme is equal to a series of linear subdividing process, which followed the V.D. property and the convexity preserving property of the splines.

关键词： Splines

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Towards an inclusive computational model of visual cortex

Towards an inclusive computational model of visual cortex

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： M. Gheiratmand H. Soltanian-Zadeh H. Khaloozadeh Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA School of Cognitive Sciences Institute for Studies Theoretical Physics and Mathematics (IPM) Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Understanding the primatespsila visual system has been one of the challenging problems of different groups of scientists for years. Though many studies, from physiology and neuroscience to computer vision, are done on different aspects of visual processing in the cortex, a comprehensive computational model of visual cortex is still missing. We have implemented a computational model of object recognition in ventral visual pathway in our previous work. This hierarchical model covers visual areas V1/V2, V4/PIT, and AIT sending inputs to the Prefrontal Cortex (PFC) for categorization. To extend our model, in this work, we have added a simple model of motion detection in neurons of areas V1 and MT of the dorsal stream to our previous model. This has enabled the model to perform another principal function of the visual cortex, i.e., motion perception.

关键词： Brain modeling Computational modeling Neurons Biological system modeling Object recognition Motion analysis Solid modeling Visual system computer vision Motion detection

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Two-dimensional Compressible Flow Simulation on Emulated Digital CNN-UM

Two-dimensional Compressible Flow Simulation on Emulated Dig...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Sandor Kocsardi Zoltan Nagy Arpad Csik Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Cellular Sensory and Wave Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Mathematics and Computational Sciences Sźechenyi István University Gyor Hungary Faculty of Information Technology Pázmány Péter Catholic University Budapest Hungary

In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. In this field, one of the most exciting areas is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. In this paper a CNN-UM based solver of 2D inviscid, adiabatic, compressible fluids will be presented. The governing equations are solved by using first- and second-order numerical methods. Unfortunately the necessity the coupled multi-layered computational structure with non-linear, space-variant templates does not make it possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution emulated digital CNN-UM implemented on FPGA has been used. Properties of the implemented specialized architecture is examined in terms of area, speed and accuracy.

关键词： Mathematical model Equations computer architecture Microprocessors Field programmable gate arrays Computational modeling Magnetic cores

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Experimental Result on Supersonic Flow Simulation on Emulated Digital CNN-UM

Experimental Result on Supersonic Flow Simulation on Emulate...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Sandor Kocsardi Zoltan Nagy Arpad Csik Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Cellular Sensory and Wave Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Mathematics and Computational Sciences Széchenyi István University Gyor Hungary Faculty of Information Technology Pázmány Péter Catholic University Budapest Hungary

关键词： Mathematical model Fluids computer architecture Computational modeling Equations Arrays Atmospheric modeling

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