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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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Ringing artifact removal in digital restored images using multi-resolution edge map

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 95-106页

作者： Kim, Sangjin Jun, Sinyoung Lee, Eunsung Shin, Jeongho Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of Department of Web Information Engineering Hankyong National University 67 Seokjeong-Dong Anseong Kyonggi-Do 456-749 Korea People's Democratic Rep

This paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT analysis, we show that ringing artifacts can be suppressed to a great extent by using multiple-level edge maps, which provide enhanced matching to local edges. Base on the experimental results, the proposed method can reduce ringing artifacts with minimized edge degradation by using DWT analysis.

关键词： Discrete wavelet transforms

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Updated radiometric calibration for the Landsat-5 thematic mapper reflective bands

Updated radiometric calibration for the Landsat-5 thematic m...

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作者： Helder, Dennis L. Markham, Brian L. Thome, Kurtis J. Barsi, Julia A. Chander, Gyanesh Malla, Rimy Department of Electrical Engineering and Computer Science South Dakota State University Brookings SD 57007 United States Landsat Project Science Office NASA Goddard Space Flight Center Greenbelt MD 20771 United States Remote Sensing Group Optical Sciences Center University of Arizona Tucson AZ 85721 United States Science Systems and Applications Inc. NASA Goddard Space Flight Center Greenbelt MD 20771 United States Science Applications International Corporation U.S. Geological Survey Center for Earth Resources Observation and Science Sioux Falls SD 57198 United States Image Processing Laboratory South Dakota State University Brookings SD 57007 United States

The Landsat-5 Thematic Mapper (TM) has been the workhorse of the Landsat system. Launched in 1984, it continues collecting data through the time frame of this paper. Thus, it provides an invaluable link to the past history of the land features of the Earth's surface, and it becomes imperative to provide an accurate radiometric calibration of the reflective bands to the user community. Previous calibration has been based on information obtained from prelaunch, the onboard calibrator, vicarious calibration attempts, and cross-calibration with Landsat-7. Currently, additional data sources are available to improve this calibration. Specifically, improvements in vicarious calibration methods and development of the use of pseudoinvariant sites for trending provide two additional independent calibration sources. The use of these additional estimates has resulted in a consistent calibration approach that ties together all of the available calibration data sources. Results from this analysis indicate a simple exponential, or a constant model may be used for all bands throughout the lifetime of Landsat-5 TM. Where previously time constants for the exponential models were approximately one year, the updated model has significantly longer time constants in bands 1-3. In contrast, bands 4, 5, and 7 are shown to be best modeled by a constant. The models proposed in this paper indicate calibration knowledge of 5% or better early in life, decreasing to nearly 2% later in life. These models have been implemented at the U.S. Geological Survey Earth Resources Observation and Science (EROS) and are the default calibration used for all Landsat TM data now distributed through EROS. © 2008 IEEE.

关键词： Landsat

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Performance of a self-paced brain computer interface on data contaminated with eye-movement artifacts and on data recorded in a subsequent session

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Computational Intelligence and Neuroscience 2008年第unknown期2008卷 1-13页

作者： Fatourechi, Mehrdad Ward, Rabab K. Birch, Gary E. Image and Signal Processing Laboratory Department of Electrical and Computer Engineering University of British Columbia Vancouver BC V6T 1Z4 Canada Institute for Computing Information and Cognitive Systems University of British Columbia Vancouver BC V6T 1Z4 Canada Neil Squire Society Burnaby BC V5M 3Z3 Canada

The performance of a specific self-paced BCI (SBCI) is investigated using two different datasets to determine its suitability for using online: (1) data contaminated with large-amplitude eye movements, and (2) data recorded in a session subsequent to the original sessions used to design the system. No part of the data was rejected in the subsequent session. Therefore, this dataset can be regarded as a pseudo-online test set. The SBCI under investigation uses features extracted from three specific neurological phenomena. Each of these neurological phenomena belongs to a different frequency band. Since many prominent artifacts are either of mostly low-frequency (e.g., eye movements) or mostly high-frequency nature (e.g., muscle movements), it is expected that the system shows a fairly robust performance over artifact-contaminated data. Analysis of the data of four participants using epochs contaminated with large-amplitude eye-movement artifacts shows that the system's performance deteriorates only slightly. Furthermore, the system's performance during the session subsequent to the original sessions remained largely the same as in the original sessions for three out of the four participants. This moderate drop in performance can be considered tolerable, since allowing artifact-contaminated data to be used as inputs makes the system available for users at ALL times.

关键词： .Brain Computer Data Contaminated Eye-Movement Artifacts Subsequent Session Recorded in Subsequent SBCI contaminated with large-amplitude neurological phenomena

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2-D tridiagonal HR filters/systems: State space and circuit realizations

2-D tridiagonal HR filters/systems: State space and circuit ...

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2007 IEEE International Symposium on Circuits and systems, ISCAS 2007

作者： Antoniou, George E. Image Processing and Systems Laboratory Department of Computer Science Montclair State University Montclair NJ 07043 United States

In this paper state space and circuit realizations are presented for tridiagonal discrete state space 2-D filters. The proposed state space realizations are based on the corresponding circuit implementations. For the state space realization the 2-D Roesser and Cyclic models are used. The dimension of the state vectors are minimal for both models. A low-order example is presented to illustrate the proposed results. © 2007 IEEE.

关键词： Digital filters

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Advances in nonnegative matrix and tensor factorization

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Computational Intelligence and Neuroscience 2008年第unknown期2008卷 1-3页

作者： Wang, W. Cichocki, A. Mørup, M. Smaragdis, P. Zdunek, R. Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Saitama 351-0198 Japan Department of Informatics and Mathematical Modeling Technical University of Denmark Building 321 2800 Lyngby Richard Petersens Plads Denmark Advanced Technology Labs. Adobe Systems Inc. Newton MA 02466 275 Grove Street United States Centre for Vision Speech and Signal Processing University of Surrey Guildford GU2 7XH United Kingdom Institute of Telecommunications Teleinformatics and Acoustics Wroclaw University of Technology Wybrzeze 50370 Wroclaw Wyspianskiego 27 Poland

The article discusses various reports published within the issue, including one by M. Shashanka and colleagues on a family of probabilistic latent variable models and another by R. Zdunek and A. Cichocki on the applic... 详细信息

关键词： .sparse Tensor Signal processing multiway NMF Nonnegative matrix factorization

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A NOVEL FRAMEWORK FOR ACCURATE LUNG SEGMENTATION USING GRAPH CUTS

A NOVEL FRAMEWORK FOR ACCURATE LUNG SEGMENTATION USING GRAPH...

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IEEE International Symposium on Biomedical Imaging

作者： Asem M. Ali Ayman S. El-baz Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville USA Bioengineering Department University of Louisville USA

ISBN: (纸本)9781424406715;1424406714

The closeness of the gray levels between lung tissues and the chest tissues makes lung segmentation based only on image signals difficult. This work proposes an automatic segmentation framework of lung consisting of three stages. First is the image signal modelling, and initial labelling stage. The labelling algorithm is based on a probabilistic model, which models the image signal with a linear combination of Gaussian distributions with positive and negative components. In the second stage a new analytically estimated potentials for Potts model parameter is used to identify the spatial interaction between the neighboring pixels. Finally the third stage, where an energy function using the previous models is formulated, and is globally minimized using s/t graph cuts. Experiments show that the developed technique segments CT lung images more accurately than other known algorithms.

关键词： Lungs image segmentation Computed tomography Labeling Pathology Object segmentation Gaussian distribution X-ray imaging Cancer detection Computer vision

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A NEW GLOBAL REGISTRATION APPROACH OF MEDICAL IMAGING USING VECTOR MAPS

A NEW GLOBAL REGISTRATION APPROACH OF MEDICAL IMAGING USING ...

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IEEE International Symposium on Biomedical Imaging

作者： Hossam E. Abd El Munim Aly A. Farag Computer Vision and Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA

ISBN: (纸本)1424406714

In this paper, we introduce a novel global image registration approach using vector distance functions (VDF's). Edges of the source and target objects are used to represent their images. The VDF's of these edges are calculated as an implicit representation of these boundaries. An energy is formulated to measure the differences of these vectors. A variational formulation is considered to estimate the transformation parameters. Promising results in 2D and 3D are demonstrated to show the efficiency of the proposed algorithm.

关键词： Biomedical imaging image edge detection image registration Parameter estimation Computer vision Mutual information Data mining Shape image processing Energy measurement

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2-D Tridiagonal IIR Filters/systems: State Space and Circuit Realizations

2-D Tridiagonal IIR Filters/Systems: State Space and Circuit...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： George E. Antoniou Image Processing and Systems Laboratory Department of Computer Science Montclair State University Montclair NJ USA

In this paper state space and circuit realizations are presented for tridiagonal discrete state space 2D filters. The proposed state space realizations are based on the corresponding circuit implementations. For the state space realization the 2D Roesser and Cyclic models are used. The dimension of the state vectors are minimal for both models. A low-order example is presented to illustrate the proposed results.

关键词： IIR filters State-space methods Circuits Transfer functions image processing Sparse matrices Hardware Lattices Laboratories Computer science

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