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New segmentation methods of the comet assay images

IFAC Proceedings Volumes 2003年第15期36卷 129-134页

作者： Bogdan Smolka Konstantinos N. Plataniotis Anastasios N. Venetsanopoulos Rastislav Lukac Department of Automatic Control Silesian University of Technology Akademicka 16 Str. 44-101 Gliwice Poland. Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto Canada. Slovak Image Processing Center Jarkova 343 049 25 Dobsina Slovak Republic

The single cell gel electrophoresis, called Comet Assay is a microelectrophoretic technique of direct visualization of DNA damage at the cell level. In the comet assay, the cells suspended in an agarose gel on a microscope slide are subjected to lysis, unwinding of DNA and electrophoresis. After staining with fluorescent DNA binding dye, cells with DNA damage display increased migration of genetic material from the cell nucleus. Under the influence of weak, static electric field, charged DNA migrates away from the nucleus forming a so called comet. The damage is quantified by measuring the amount of the genetic material, which migrates from the nucleus to form the comet tail. The foremost advantage of the comet assay is that it analyses individual cells, thus allowing the measurement of the heterogeneity of response within a cell population. In this paper we present three novel methods of the comet tail and head extraction.

关键词： Comet assay Image segmentation Medical applications Image enhancement

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Plant Uncertainty Contribution to QFT Tracking control Design

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IFAC Proceedings Volumes 2003年第11期36卷 517-522页

作者： M. Gil-Martínez M. García-Sanz System Engineering and Automation Group Electrical Engineering Department University of La Rioja. Luis de Ulloa 20 26004 Logroño SPAIN. Tf.:+34 941 299496 Automatic Control and Computer Science Department Public University of Navarra. Campus Arrosadía s/n 31006 Pamplona SPAIN Tf.:+34 948 16938

Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries.

关键词： Quantitative Feedback Theory Robust control Uncertain Dynamical Systems

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New class of impulsive noise reduction filters based on kernel density estimation

New class of impulsive noise reduction filters based on kern...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： B. Smolka K.N. Plataniotis R. Lukac A.N. Venetsanopoulos Department of Automatic Control Silesian University of Technology Poland The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada Slovak Image Processing Center Dobsina Slovakia Faculty of Applied Science and Engineering University of Toronto Toronto ONT Canada

The paper presents a new filtering scheme for the removal of impulsive noise in color images. It is based on estimating the probability density function for color pixels in a filter window by means of the kernel density estimation method. A quantitative comparison of the proposed filter with the vector median filter shows its excellent ability to reduce noise while simultaneously preserving fine image details.

关键词： Noise reduction Filters Kernel Colored noise Color Histograms Filtering Probability density function Shape Multidimensional systems

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IEEE International Conference on Multimedia and Expo (ICME)

In this paper a novel approach to the problem of impulsive noise removal in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The new method is faster than the standard vector median filter and preserves better edges and fine image details. Simulation results show that the proposed method outperforms other standard algorithms of the reduction of impulsive noise in color images.

关键词： Colored noise Color Filtering Pixel Strontium Educational institutions Image processing Noise reduction Nonlinear filters Gray-scale

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A delay systems approach to linear differential repetitive processes: controllability and optimization

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IFAC Proceedings Volumes 2003年第19期36卷 333-338页

作者： S. Dymkou E. Rogers M. Dymkov K. Gałkowski D.H. Owens School of Information Technology and Mathematical Sciences University of Ballarat Victoria 33353 Australia Department of Electronics and Computer Science University of Southampton Southampton SO 17 1BJ UK Institute of Mathematics National Academy of Sciences of Belarus Surganov 11 220072 Minsk Belarus Institute of Control and Computation Engineering Technical University of Zielona Góra Poland Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD. UK

Differential linear repetitive processes are a class of continuous-discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is that information propagation in one of the two independent directions only occurs over a finite interval. Applications areas include iterative learning control and iterative solution algorithms for classes of dynamic nonlinear optimal control problems based on the maximum principle. In this paper, we investigate further the structural links between differential linear repetitive processes and a special class of time delay systems. This leads to some significant new controllability and optimal control results for these processes.

关键词： Repetitive processes time delay approaches controllability optimization

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Efficient Approach for Face Detection in Video Surveillance

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Journal of Donghua University(English Edition) 2003年第4期20卷 52-55页

作者：宋红石峰 Department of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 China Department of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 Chinaecurity access control systems and automatic video surveillance systems are becoming increasingly important recently and detecting human faces is one of the indispensable processes. In this paper an approach is presented to detect faces in video surveillance. Firstly both the skin-color and motion components are applied to extract skin-like regions. The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm. Secondly the image is clustered into separated face candidates by using the region growing technique. Finally the face candidates are further verified by the rule-based algorithm. Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.

Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to detect faces in video ***,both the skin-color and motion components are applied to extract skin-like *** skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference ***,the image is clustered into separated face candidates by using the region growing ***,the face candidates are further verified by the rule-based *** results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.

关键词： face detection skin-color segmentation BPNN frame difference region growing

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Angular multichannel sigma filter

Angular multichannel sigma filter

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： R. Lukac B. Smolka K.N. Plataniotis A.N. Venetsanopoulos P. Zavarsky Slovak Image Processing Center Dobsina Slovak Republic Department of Automatic Control Silesian University of Technology Gliwice Poland Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto Canada Nagaoka University of Technology Nagaoka Japan

Adaptive nonlinear filtering methods are preferred in situations when it is necessary to adapt a filter behavior for varying signal and noise statistics. In the case of impulsive noise corruption, the problem is stated often as searching for the switching function that allows the filtering effect only to noisy samples. Thus, the undesired smoothing of non-corrupted image areas, which results in blurring, especially of small image structures and details, is reduced. We provide a new adaptive framework between a basic vector directional filter and an identity operation based on the angular multichannel definition of J.S. Lee's sigma filter (see Comp Vision, Graphics, Image Proc., vol.24, no.2, p.255-69, 1983).

关键词： Filtering Adaptive filters Color Smoothing methods Colored noise Noise reduction Image processing Strontium Educational institutions Programmable control

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Evolutionary multi-criterion optimization

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003年 2632卷

作者： Fonseca, Carlos M. Fleming, Peter J. Zitzler, Eckart Deb, Kalyanmoy Thiele, Lothar University of the Algarve Centre for Intelligent Systems Campus de Gambelas Faro Portugal University of Sheffield Department of Automatic Control and Systems Engineering Mappin Street Sheffield United Kingdom Swiss Federal Institute of Technology Department of Electrical Engineering Computer Engineering and Networks Laboratory Gloriastrabe 35 Zurich Switzerland Indian Institute of Technology Department of Mechanical Engineering Kanpur Genetic Algorithms Laboratory Kanpur India

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New approach to the impulsive noise removal in microarray images

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IFAC Proceedings Volumes 2003年第15期36卷 145-150页

作者： Rastislav Lukac Bogdan Smolka Konstantinos N. Plataniotis Anastasios N. Venetsanopoulos Slovak Image Processing Center. Jarkova 343. 049 25 Dobsina. Slovak Republic. Department of Automatic Control. Silesian University of Technology. Akademicka 16 Str. 44-101 Gliwice Poland The Edward S. Rogers Sr. Department of Electrical and Computer Engineering. University of Toronto. 10 King's College Road Toronto Canada

In this paper a new method of impulsive noise reduction in microarray images is presented. The new technique is capable of attenuating impulsive noise, while preserving the sharpness of the image edges. Extensive simulations reveal that the new method outperforms significantly the standard techniques widely used in multivariate signal processing. In this work we apply the new noise reduction method for the enhancement of the images of the microarray chips. We demonstrate that the new technique is capable of reducing impulsive noise, which is very often present in the microarray images and that it enables efficient spot localization and estimation of the gene expression level, due to the smoothing effect and preservation of the spot edges. This paper contains the comparison of the efficiency of the new technique of noise reduction with the standard procedures used for the processing of vector valued images, as well as examples of the efficiency of the new algorithm when applied to typical microarray images.

关键词： Impulsive Noise Removal Multichannel lmage Smoothing Gene Chips

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Noisy heart sequences filtering by optimal median based operators

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IFAC Proceedings Volumes 2003年第15期36卷 311-316页

作者： Rasto Lukac Bogdan Smolka Pavol Zavarsky Kostas N. Plataniotis Anastasios N. Venetsanopoulos Slovak Image Processing Center Jarkova 343 049 25 Dobsina Slovak Republic Department of Automatic Control Silesian University of Technology Akademicka 16 Str. 44-101 Gliwice Poland Nagaoka University of Technology 1603-1 Kamitomioka 940-2188 Nagaoka Japan The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto Canada

Bit errors and impulses introduced into cardiographic image sequences prohibit to process and evaluate the heart dynamics correctly. Thus, biomedical imaging such as vascular imaging and quantification of heart dynamics is closely related to digital filtering. We provide three-dimensional impulse detection based adaptive median filters designed to perform the optimal filtering situation, where the robust median filter affects only noisy samples, whereas the desired image features remains unchanged. The proposed method holds excellent preserving characteristics and takes the advantage of the superposition property despite the nonlinearity of the median filtering.

关键词： Detection Impulses Median Filters Optimal Filtering Sequences Smoothing

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