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    Wyświetlanie 1-10 z 10
    Tytuł:
    Detection of moving objects in image sequences using 3D velocity filters
    Autorzy:
    Schauland, S.
    Velten, J.
    Kummert, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908049.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    przetwarzanie sygnału
    filtr prędkości
    filtr ruchu
    wykrywanie obiektu
    filtr cyfrowy
    multidimensional signal processing
    velocity filters
    motion filters
    object detection
    wave digital filters
    Opis:
    A movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures allow realizing velocity filters if the n-D system is carefully adapted to the analyzed problem. In this paper, the fundamental principles of visual scene analysis by linear multidimensional filters are examined with respect to possible sources of degradation. The extraction of movement information and its practical use are demonstrated using a wave digital filter (WDF) implementation.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 1; 21-31
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Image retrieval based on hierarchical Gabor filters
    Autorzy:
    Andrysiak, T.
    Choraś, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/908448.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    filtr Gabora
    pobieranie obrazu
    ekstrakcja cech
    reprezentacja hierarchiczna
    Gabor filters
    image retrieval
    texture feature extraction
    hierarchical representation
    Opis:
    Content Based Image Retrieval (CBIR) is now a widely investigated issue that aims at allowing users of multimedia information systems to automatically retrieve images coherent with a sample image. A way to achieve this goal is the computation of image features such as the color, texture, shape, and position of objects within images, and the use of those features as query terms. We propose to use Gabor filtration properties in order to find such appropriate features. The article presents multichannel Gabor filtering and a hierarchical image representation. Then a salient (characteristic) point detection algorithm is presented so that texture parameters are computed only in a neighborhood of salient points. We use Gabor texture features as image content descriptors and efficiently emply them to retrieve images.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2005, 15, 4; 471-480
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust adaptive fuzzy filters output feedback control of strict-feedback nonlinear systems
    Autorzy:
    Tong, S.
    Liu, C.
    Li, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/908148.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system nieliniowy
    sterowanie rozmyte
    sprzężenie zwrotne
    nonlinear system
    adaptive fuzzy control
    backstepping
    small-gain approach
    K-filters
    Opis:
    In this paper, an adaptive fuzzy robust output feedback control approach is proposed for a class of single input single output (SISO) strict-feedback nonlinear systems without measurements of states. The nonlinear systems addressed in this paper are assumed to possess unstructured uncertainties, unmodeled dynamics and dynamic disturbances, where the unstructured uncertainties are not linearly parameterized, and no prior knowledge of their bounds is available. In recursive design, fuzzy logic systems are used to approximate unstructured uncertainties, and K-filters are designed to estimate unmeasured states. By combining backstepping design and a small-gain theorem, a stable adaptive fuzzy output feedback control scheme is developed. It is proven that the proposed adaptive fuzzy control approach can guarantee the all the signals in the closed-loop system are uniformly ultimately bounded, and the output of the controlled system converges to a small neighborhood of the origin. The effectiveness of the proposed approach is illustrated by a simulation example and some comparisons.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 4; 637-653
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Numerical Algorithm for Filtering and State Observation
    Autorzy:
    Ibrir, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/908263.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    krzywa składana
    różniczkowanie numeryczne
    obserwator
    spline functions
    numerical differentiation
    observers
    smooth filters
    Opis:
    This paper deals with a numerical method for data fitting and estimation of continuous higher-order derivatives of a given signal from its non-exactsampled data. The proposed algorithm is a generalization of the algorithm proposed by Reinsch (1967). This algorithm is conceived as a key element in the structure of the numerical observer discussed in our recent papers. Satisfactory results are obtained which prove the efficiency of the proposed approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 4; 855-869
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Image processing for old movies by filters with motion detection
    Autorzy:
    Skonieczny, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/908449.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    filtracja sekwencji obrazu
    detekcja ruchu
    stary film
    image sequence filtering
    motion detection
    old movie
    Opis:
    Old movies suffer from various types of degradation: severe noise, blurred edges of objects (low contrast), scratches, spots, etc. Finding an efficient denoising method is one of the most important and one of the oldest problems in image sequence processing. The crucial thing in image sequences is motion. If the motion is insignificant, then any motion noncompensated method of filtering can be applied. However, if the noise is significant, then this approach gives most often unsatisfactory results. In order to increase the quality of frames, motion compensated filters are usually applied. This is a very time consuming and awkward approach due to serious limitations of optical flow methods. In this paper, a review of various filters with motion detection when applied to the processing of image sequences coming from old movies is presented. These filters are nonlinear and based on the concept of multistage median filtering or mathematical morphology. Some new filters are proposed. The idea of these new filters presented here is to detect moving areas instead of performing full estimation of motion in the sequence and to apply exclusively 2D filters in those regions while applying 3D motion noncompensated filters in static areas, which usually significantly reduces the computational burden.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2005, 15, 4; 481-491
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Block-based physical modeling with applications in musical acoustics
    Autorzy:
    Rabenstein, R.
    Petrausch, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/907909.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    modelowanie fizyczne
    filtr cyfrowy
    filtr elektryczny
    synteza dźwięku
    physical modeling
    wave digital filters
    sound synthesis
    Opis:
    Block-based physical modeling is a methodology for modeling physical systems with different subsystems. Each subsystem may be modeled according to a different paradigm. Connecting systems of diverse nature in the discrete-time domain requires a unified interconnection strategy. Such a strategy is provided by the well-known wave digital principle, which had been introduced initially for the design of digital filters. It serves as a starting point for the more general idea of blockbased physical modeling, where arbitrary discrete-time state space representations can communicate via wave variables. An example in musical acoustics shows the application of block-based modeling to multidimensional physical systems.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 3; 295-305
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear image processing and filtering: a unified approach based on vertically weighted regression
    Autorzy:
    Rafajłowicz, E.
    Pawlak, M.
    Steland, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908044.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    filtr nieliniowy
    filtracja obrazu
    regresja ważona
    image filtering
    vertically weighted regression
    nonlinear filters
    Opis:
    A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge-preserving properties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates utilizing the concept of vertical weighting. The method unifies a number of known nonlinear image filtering and denoising algorithms such as bilateral and steering kernel filters. It is shown that vertically weighted filters can be realized by a structure of three interconnected radial basis function (RBF) networks. We also assess the performance of the algorithm by studying industrial images.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 1; 49-61
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of the Adaptive Center-Weighted Vector Median Framework for the Enhancement of cdna Microarray Images
    Autorzy:
    Lukac, R.
    Smołka, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/908149.pdf
    Data publikacji:
    2003
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    informatyka
    DNA microarray images
    multichannel image processing
    order-statistic theory
    vector filters
    impulsive noise
    Opis:
    In this paper a novel method of noise reduction in color images is presented. The new technique is capable of attenuating both impulsive and Gaussian noise, while preserving and even enhancing 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 so called gene chips. We demonstrate that the new technique is capable of reducing the impulsive noise present in microarray images and that it facilitates efficient spot location and the estimation of the gene expression levels due to the smoothing effect and preservation of the spot edges. This paper contains a comparison of the new technique of impulsive 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.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2003, 13, 3; 369-383
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear state observers and extended Kalman filters for battery systems
    Autorzy:
    Rauh, A.
    Butt, S. S.
    Aschemann, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/330696.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    observer
    state estimation
    Riccati equations
    extended Kalman filter
    parameter estimation
    obserwator
    estymacja stanu
    równanie różniczkowe Riccatiego
    filtr Kalmana
    estymacja parametryczna
    Opis:
    The focus of this paper is to develop reliable observer and filtering techniques for finite-dimensional battery models that adequately describe the charging and discharging behaviors. For this purpose, an experimentally validated battery model taken from the literature is extended by a mathematical description that represents parameter variations caused by aging. The corresponding disturbance models account for the fact that neither the state of charge, nor the above-mentioned parameter variations are directly accessible by measurements. Moreover, this work provides a comparison of the performance of different observer and filtering techniques as well as a development of estimation procedures that guarantee a reliable detection of large parameter variations. For that reason, different charging and discharging current profiles of batteries are investigated by numerical simulations. The estimation procedures considered in this paper are, firstly, a nonlinear Luenberger-type state observer with an offline calculated gain scheduling approach, secondly, a continuous-time extended Kalman filter and, thirdly, a hybrid extended Kalman filter, where the corresponding filter gains are computed online.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2013, 23, 3; 539-556
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Genetic and combinatorial algorithms for optimal sizing and placement of active power filters
    Autorzy:
    Maciążek, M.
    Grabowski, D.
    Pasko, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/330809.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    power quality
    optimization
    active power filter
    harmonics
    genetic algorithm
    combinatorial algorithm
    jakość energii
    energetyczny filtr aktywny
    algorytm genetyczny
    algorytm kombinatoryczny
    Opis:
    The paper deals with cost effective compensator placement and sizing. It becomes one of the most important problems in contemporary electrical networks, in which voltage and current waveform distortions increase year-by-year reaching or even exceeding limit values. The suppression of distortions could be carried out by means of three types of compensators, i.e., passive filters, active power filters and hybrid filters. So far, passive filters have been more popular mainly because of economic reasons, but active and hybrid filters have some advantages which should cause their wider application in the near future. Active power filter placement and sizing could be regarded as an optimization problem. A few objective functions have been proposed for this problem. In this paper we compare solutions obtained by means of combinatorial and genetic approaches. The theoretical discussion is followed by examples of active power filter placement and sizing.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2015, 25, 2; 269-279
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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