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International Conference on Computer vision (ICCV)

作者： M.T. El-Melegy N.H. Al-Ashwal A.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 variational method to segment image objects, which have a given parametric shape based on a level-set formulation of the Mumford-Shah functional, and the shape parameters. We define an energy functional composed by two complementary terms. The first one detects object boundaries using a Chan-Vese-like method. The second term constrains the contour to find a shape compatible with the parametric shape. The segmentation of the object of interest is given by the minimum of our energy functional. This minimum is computed with the calculus of variation and the gradient descent method that provide a system of evolution equations solved with the well-known level set method. We focus in this paper on the parametric category of image linear objects. Applications of the proposed model are presented on synthetic and real images

关键词： Shape image segmentation Level set Computer vision Focusing image processing Object detection Calculus Application software Equations

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Segmentation-based adaptive spatio-temporal filtering for noise canceling and MPEG pre-processing

Segmentation-based adaptive spatio-temporal filtering for no...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Seong-Won Lee V. Maik Jihoon Jang Jeongho Shin Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Chung Ang University Seoul South Korea Research & Development Center Next chip Solution Company Limited Seoul South Korea

Noise reduction especially in low light level images is an important feature in consumer cameras. Existing methods to reduce such noise often degrade image quality due to an improper choice of filters. We present a high quality, low-cost noise reduction filter for enhancing low light level images. The proposed algorithm is simple, effective and computationally fast; it is suitable for low cost camcorders, digital cameras, CCTVs, and surveillance video systems.

关键词： Adaptive filters Filtering Noise cancellation Noise reduction image segmentation Cameras Degradation image quality Costs Video equipment

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3D dynamic visualization for industrial process tomographic images 4

3D dynamic visualization for industrial process tomographic ...

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4th World Congress in Industrial Process Tomography

作者： Xue, Jian Zhang, Zhaotian Tian, Jie Xiong, Xiaoyun Li, Hui Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Graduate School of the Chinese Academy of Sciences P.O.Box 2728 Beijing100080 China Division of Electronics and Information System Department of Information Science National Natural Science Foundation of China P.O.Box 8610 Beijing100085 China

ISBN: (纸本)9780853163206

Reconstruction and visualization of industrial process tomographic images are important for monitoring an industrial process and improving efficiency and overall control of the process. This paper presents a method for 3D dynamic visualization of industrial process tomographic images. This method is based on volume visualization technique with ray casting implemented in Medical Imaging ToolKit (MITK) which is a C++ library for medical image processing and analyzing developed by our group. It separates different substances with different colours and opacities, and provides a dynamic 3D display of the process inside the vessels or pipelines. With the hardware acceleration of the volume rendering algorithm, this method is of potential to be used in a real-time industrial tomography system. © 2014 International Society for Industrial Process Tomography.

关键词： image enhancement

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A detection method of moving ships by image processing as a support system of AIS

A detection method of moving ships by image processing as a ...

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Institute of Navigation, 2005 National Technical Meeting, NTM 2005

作者： Shimpo, M. Hirasawa, M. Nakajima, A. Shoji, R. Oshima, M. Tokyo University of Marine Science and Technology Information Systems Planning and Development Department Mitsubishi Electric Corporation Japan Institute of Navigation Robotics Society of Japan Institute of Electronics Information and Communication Engineers Japan Institute of Navigation Image Processing Radar Network System Faculty of Marine Technology Tokyo University of Marine Science and Technology Electro Technical Laboratory Ibaraki Japan Tokyo University of Mercantile Marine Tokyo Japan Institute of Electronics Information and Communication Engineers Information Processing Society of Japan Japanese Society for Artificial Intelligence Marine Engineering Society in Japan Law and Computers Association of Japan

This paper proposes a detection method of moving ships from the navigational image sequence that was taken with cameras installed on the bridge of the ship. The image is influenced by roll and pitch of the ship. Therefore, usual technique of image processing cannot be used such as Finite Difference method. Moreover, as many sea waves appear in the images, the image cannot be dealt without rejecting sea waves. The technique in this paper proposes how to get rid of the influence of roll, pitch and sea waves. After that, we detect the ships. An interval between each of the frames is one-thirty second in this experiment. The size of the images is 640 pixels in width and 480 pixels in height. At first, the frames are segmented into about 5000 regions using brightness value of the image. About 100 regions were estimated with the ship. Each region was matched with another two frames, which passed 0.33 second and 0.66 second. 0.33 second corresponds to 10 frames. The movement of the ship is less than 50 pixels in this interval. The SSDA method is used for matching processing to be more efficiently. Both the coordinate points of an original region and the matched one are recorded on the table. It is used to calculate the deflection, the speed and the direction of the moving vector of each region. The ships can be detected with these parameters. The detected ships can be displayed clearly as a result of processing. We have taken a lot of video images in Tokyo Bay and Tokyo Port. It becomes possible to show that the ships can be detected from the video images.

关键词： Navigation systems

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一种实用的二维工业CT重建算法

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中国体视学与图像分析 2005年第3期10卷 189-192页

作者：李慧田捷张兆田 Department of Education Technology Capital Normal University Beijing 100037 China Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P. O. Box 2728 Beijing 100080 China Department of Information Science National Natural Science Foundation of China Beijing 100085 China

Computed tomography plays an important role in industrial non-destructive testing, medical applications, astronomy and many other fields to look inside the scanned object and to analysis its inner structures. A non-destructive testing software have been developed to efficiently detect inner flaws of space industrial components. As the core of our software, reconstruction algorithms including preprocess of raw data, re-arrange algorithm and filtered back-projection algorithms have been described in detail in this article. With real raw data from CASC of China, experimental results verified the applied reconstruction algorithm in our software. Furthermore, forward algorithms simulating generation of fan-beam raw data are also presented in this article.

关键词：二维工业CT 图象重建计算方法计算机系统

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Computing the transfer function for second-order 2D systems

Computing the transfer function for second-order 2D systems

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： G.E. Antoniou M.T. Michael Image Processing and Systems Laboratory Department of Computer Science Montclair State University Montclair NJ USA

In this paper the discrete Fourier transform is used to determine the coefficients of a transfer function of a new two-dimensional system model of second-order: x(i/sub 1/ + 2, i/sub 2/ + 2) = A/sub 0/x(i/sub 1/ + 1, i/sub 2/ + 1) + A/sub 1/x(i/sub 1/ + 1, i/sub 2/) + A/sub 2/x(i/sub 1/, i/sub 2/ + 1). The algorithm is straight forward and has been implemented using the software package "Matlab/spl trade/". A step-by-step example illustrating the application of the algorithm is presented.

关键词： Transfer functions Discrete Fourier transforms Polynomials State-space methods Application software image processing Laboratories Computer science Software algorithms Software packages

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Automatic detection and recognition of lung abnormalities in helical CT images using deformable templates

Automatic detection and recognition of lung abnormalities in...

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Medical image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings

作者： Farag, Aly El-Baz, Ayman Gimel'Farb, Georgy G. Falk, Robert Hushek, Stephen G. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States Department of Computer Science Tamaki Campus University of Auckland Auckland New Zealand Medical Imaging Division Jewish Hospital Louisville KY United States iMRI Department Norton Hospital Louisville KY United States

ISBN: (纸本)3540229779

Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper we propose a novel algorithm for isolating lung nodules from spiral CT scans. The proposed algorithm is based on using four different types of deformable templates describing typical geometry and gray level distribution of lung nodules. These four types are (z) solid spherical model of large-size calcified and non-calcified nodules appearing in several successive slices;(ii) hollow spherical model of large lung cavity nodules;(Hi) circular model of small nodules appearing in only a single slice;and (iv) semicircular model of lung wall nodules. Each template has a specific gray level pattern which is analytically estimated in order to fit the available empirical data. The detection combines the normalized cross-correlation template matching by genetic optimization and Bayesian post-classification. This approach allows for isolating abnormalities which spread over several adjacent CT slices. Experiments with 200 patients' CT scans show that the developed techniques detect lung nodules more accurately than other known algorithms. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Computer vision

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Real-time vision-based approach for probe tracking in operating room

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International Congress Series 2004年 1268卷 467-472页

作者： Aly A. Farag M.Sabry Hassouna Ayman El-Baz S. Hushek Computer Vision and Image Processing Laboratory Electrical and Computer Engineering University of Louisville 403 Lutz Hall Bldg. Louisville KY 40292 USA Department of Neurological Surgery University of Louisville USA

A hand-held surgical probe is an essential component of any image-guided neurosurgery (IGNS). During the surgical procedure, the IGNS tracks the probe position and displays the anatomy beneath it as three orthogonal image slices on a workstation-based 3D imaging system. Existing IGNS systems use different tracking techniques including mechanical, optical, ultrasonic, and electromagnetic systems. In this paper, we present a new computational vision-based probe tracking technique, which provides both position and orientation. We also propose another new computational vision-based technique to track the patient head and thus compensate for its movement during probing procedure. The proposed system is completely passive, its stereo cameras detect the presence of the probe using available visible light, and reports on their exact location and orientation in patient physical space in real time. We have validated the system using a skull phantom and a hand made probe.

关键词： image-guided neurosurgery Head motion tracking Probe tracking vision tracking

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Plane identification and segmentation from uncalibrated stereo based on evolutionary approach

Plane identification and segmentation from uncalibrated ster...

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IEEE International Symposium on Intelligent Signal processing and Communication systems (ISPACS)

作者： Junghoon Jung Taekyung Kim Ohyun Kwon Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea

ISBN: (纸本)0780386396

Planes are widely used in various vision tasks due to their abundance especially in man-made environments. Assuming an uncalibrated stereo image acquisition system, we propose a new plane identification and segmentation algorithm using an evolutionary approach. The proposed algorithm enables faster and more robust estimation of the plane since it progressively searches the best solution in a guided direction. Experimental results show that the proposed algorithm has higher performance than the existing method.

关键词： image segmentation Iterative algorithms Evolutionary computation Robustness Transmission line matrix methods image processing Intelligent systems Laboratories Multimedia systems Electronic mail

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Wavelet transform-based hierarchical active shape model for object tracking

Wavelet transform-based hierarchical active shape model for ...

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IEEE International Symposium on Intelligent Signal processing and Communication systems (ISPACS)

作者： Hyunjong Ki Jeonho Shin Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea

ISBN: (纸本)0780386396

This paper proposes a hierarchical approach to the active shape model (ASM) using a wavelet transform. Local structure model fitting in the ASM plays an important role in model-based pose and shape analysis. The proposed algorithm can robustly find good solutions in complex images by using wavelet decomposition. We also describe how to apply Kalman filtering for ASM-based, real-time video tracking. The proposed algorithm has been tested for various sequences containing human motion to demonstrate the improved performance of the proposed object tracking.

关键词： Active shape model Humans Robustness Kalman filters Filtering image analysis image processing Intelligent systems Laboratories Multimedia systems

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