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IEEE Region 8 International Symposium on Video/Image Processing and Multimedia Communications (EURASIP)

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

In this paper, a vector generalization of weighted median optimization approaches is provided. The proposed optimized weighted vector median filters utilize the relationship between standard median filter and vector median filter and also take the advantage of the generalized adaptive optimization algorithms initially developed for weighted median filters.

关键词： Adaptive filters Image processing Color Filtering Working environment noise Colored noise Vectors Linear approximation Strontium Educational institutions

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Generalized entropy vector filters

Generalized entropy vector filters

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IEEE Region 8 International Symposium on Video/Image Processing and Multimedia Communications (EURASIP)

作者： R. Lukac K.N. Plataniotis B. Smolka A.N. Venetsanopoulos Slovak Image Processing Center Dobsina Slovakia 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

We provide new adaptive multichannel filtering schemes for the detection and removal of impulsive noise, bit errors and outliers in digital color images. The proposed nonlinear filter is based on the generalized multichannel concept of the local entropy contrast and the robust order-statistics theory. The proposed entropy based directional distance filter is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard multichannel filters outputting the lowest ranked vector as the output sample.

关键词： Entropy Color Filtering Noise robustness Smoothing methods Image processing Colored noise Nonlinear filters Working environment noise Strontium

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Generalized adaptive vector sigma filters

Generalized adaptive vector sigma filters

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IEEE International Conference on Multimedia and Expo (ICME)

作者： R. Lukac B. Smolka K.N. Plataniotis A.N. Venetsanopoulos Slovak Image Processing Center Dobsina Slovakia 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

In this paper we provide a new filtering scheme for the detection and the removal of impulsive noise in digital color images. The proposed adaptive nonlinear vector filters take the advantages of the robust order-statistic theory, generalized directional distance filter and standard sigma filter concept. The principles of the design are explained in detail. Simulation studies indicate that the proposed method is computationally attractive and is able to achieve excellent balance between the image-detail preservation and the noise attenuation.

关键词： Adaptive filters Color Working environment noise Filtering theory Noise robustness Colored noise Nonlinear filters Image processing Strontium Educational institutions

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Noise reduction in DNA microarray images based on digital path approach

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IFAC Proceedings Volumes 2003年第15期36卷 17-22页

作者： Bogdan Smolka Konstantinos N. Plataniotis Rastislav Lukac Anastasios N. Venesanopoulos 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

In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images and that it enables efficient spot location 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 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 cDNA microarray images.

关键词： adaptive digital filters image enhancement restoration smoothing

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An image fusion based visible watermarking algorithm

An image fusion based visible watermarking algorithm

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Yongjian Hu S. Kwong School of Information Science and Technology Sun Yat-Sen University Guangzhou China Department of Automatic Control Engineering South China University of Technology Guangzhou China Department of Computer Science City University of Hong Kong Kowloon Hong Kong China

Although the need for visible watermarking for copyright notification is apparent, visible watermarking has received much less attention than invisible watermarking. In this paper, we present a general framework for performing visible watermarking based on some concepts of image fusion. Especially, we introduce a new visible watermarking algorithm in which the watermarked coefficients are computed using global as well as local characteristics of both the host and watermark images.

关键词： Image fusion Watermarking Wavelet domain Wavelet transforms Image resolution Partial response channels Pixel computer science Cities and towns Sun

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New segmentation methods of the comet assay images

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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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controllability and optimization for differential linear repetitive processes

Controllability and optimization for differential linear rep...

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IEEE Conference on Decision and control

作者： S. Dymkou E. Rogers M. Dymkov K. Galkowski D.H. Owens Lehrstuhl B fur Mathematik RWTH Aachen Germany Department of Electronics and Computer Science University of Southampton Southampton UK Institute of Mathematics National Academy of Sciences of Belarus Minsk Belarus Institute of Control and Computation Engineering University of Zielona Góra Poland Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Differential linear repetitive processes are a class of continuous-discrete 2D systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is the fact that information propagation in one of the two independent directions only occurs over a finite interval. In this paper we develop an operator theory approach for the study of basic systems theoretic structural and control properties of these processes. In particular, we first develop a characterization of the range space of an operator generated by dynamics of the processes under consideration and use it to characterize a controllability property. Also we extend this operator setting to produce new results for a (again physically relevant) linear-quadratic optimization problem for these processes and the resulting optimal feedback control law.

关键词： controllability Optimal control control systems computer science Mathematics automatic control control engineering computing Systems engineering and theory Character generation Feedback control

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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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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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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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