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    Wyświetlanie 1-9 z 9
    Tytuł:
    Image analysis framework for hydraulic mixing
    Autorzy:
    Golczak, Aleksandra
    Szaferski, Waldemar
    Woziwodzki, Szymon
    Mitkowski, Piotr T.
    Powiązania:
    https://bibliotekanauki.pl/articles/2173414.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    mieszanie hydrauliczne
    przetwarzanie obrazu
    analiza czasu mieszania
    model kolorów RGB
    hydraulic mixing
    image processing
    analysis of mixing time
    RGB colour model
    Opis:
    This study is focused on the image analysis of motionless hydraulic mixing process, for which pressure changes were the driving force. To improve the understanding of hydraulic mixing, mixing efficiency was assessed with dye introduction, which resulted in certain challenges. In order to overcome them, the framework and methodology consisting of three main steps were proposed and applied to an experimental case study. The experiments were recorded using a camera and then processed according to the proposed framework and methodology. The main outputs from the methodology which were based only on the recorded movie were liquid heights and colour changes during the process time. In addition, considerable attention has also been given to issues related to other colour systems and the hydrodynamic description of the process.
    Źródło:
    Chemical and Process Engineering; 2022, 43, 1; 3--21
    0208-6425
    2300-1925
    Pojawia się w:
    Chemical and Process Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Time performance of RGB to HSI colour space transformation methods
    Autorzy:
    Ziemba, A.
    Fornalik-Wajs, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/240294.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    digital image processing
    optical measurement method
    RGB to HSI colour space transformation
    linear transformation
    time performance
    relative computational time
    przetwarzanie
    obraz cyfrowy
    przekształcenia liniowe
    czas
    wydajność
    Opis:
    Present paper is a continuation of works on evaluation of red, green, blue (RGB) to hue, saturation, intensity (HSI) colour space transformation in regard to digital image processing application in optical measurements methods. HSI colour space seems to be the most suitable domain for engineering applications due to its immunity to non-uniform lightning. Previous stages referred to the analysis of various RGB to HSI colour space transformations equivalence and programming platform configuration influence on the algorithms execution. The main purpose of this step is to understand the influence of computer processor architecture on the computing time, since analysis of images requires considerable computer resources. The technical development of computer components is very fast and selection of particular processor architecture can be an advantage for fastening the image analysis and then the measurements results. In this paper the colour space transformation algorithms, their complexity and execution time are discussed. The most common algorithms were compared with the authors own one. Computing time was considered as the main criterion taking into account a technical advancement of two computer processor architectures. It was shown that proposed algorithm was characterized by shorter execution time than in reported previously results.
    Źródło:
    Archives of Thermodynamics; 2018, 39, 1; 111-128
    1231-0956
    2083-6023
    Pojawia się w:
    Archives of Thermodynamics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Method for Filling and Sharpening False Colour Layers of Dual Energy X-ray Images
    Autorzy:
    Dmitruk, K.
    Mazur, M.
    Denkowski, M.
    Mikołajczak, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/227318.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    X-ray imaging
    image processing
    false colour
    object detection
    Opis:
    An X-ray scanning and image processing have a vast range of applications in the security. An image of a content of some package being passed for example to an airplane or to the court house may help to figure out if there are any dangerous objects inside that package and to avoid possible threatening situation. As the raw X-ray images are not always easy to analyze and interpret, some image processing methods like an object detection, a frequency resolution increase or a pseudocolouring are being used. In this paper, we propose a pseudocoloring improvement over material based approach. By addition of the edge detection methods we fill and sharpen colour layers over the image, making it easier to interpret. We demonstrate the effectiveness of the methods using real data, acquired from a professional dual energy X-ray scanner.
    Źródło:
    International Journal of Electronics and Telecommunications; 2016, 62, 1; 49-54
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sterowanie robotem na bazie rozpoznanej barwy obiektu
    Object Colour Based Robot Control
    Autorzy:
    Makarewicz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/275605.pdf
    Data publikacji:
    2014
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    sterowanie robotem
    rozpoznanie koloru
    przetwarzanie obrazu
    matematyczny zapis obrazu
    robot control
    colour recognition
    image processing
    mathematical image recording
    Opis:
    Celem pracy jest praktyczna analiza tematyki z zakresu sterowania robotem na podstawie przygotowanego algorytmu przetwarzania obrazu fotograficznego oraz jego realizacja w postaci aplikacji w języku C++ umożliwiającej sterowanie urządzeniem zewnętrznym podłączonym do komputera stacjonarnego.
    The goal of the work is the analysis of the robot control using the developed algorithm for processing the still photo image, implemented as a C++ application, making control of the external device connected to the desktop computer possible.
    Źródło:
    Pomiary Automatyka Robotyka; 2014, 18, 1; 119-123
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Selected aspects of digital image processing applications in ITS
    Autorzy:
    Mrówka, P.
    Olejniczak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/393804.pdf
    Data publikacji:
    2013
    Wydawca:
    Polskie Stowarzyszenie Telematyki Transportu
    Tematy:
    digital image processing
    image parametrization
    traffic light classification
    colour recognition
    model recognition
    cyfrowe przetwarzanie obrazu
    parametryzacja obrazu
    klasyfikacja sygnalizacji świetlnej
    rozpoznawanie koloru
    rozpoznawanie modelu
    Opis:
    Digital image processing algorithms are commonly applied in Intelligent Transport Systems (ITS). Their effective operation is conditioned on the high robustness to real-life image distortions and the computational complexity suitable for implementation on a non expensive industrial computer. The paper presents three original image analysis methods designed for the ITS, with special attention paid on aforementioned conditions. Colour image parametrization method for the traffic light state classifier was described. The algorithm utilizes CIELAB colour space properties. The method of vehicle edges parametrization for the make and model classifier was presented. The proposed representation relies on thresholded coefficients of gradient magnitude approximation in low dimensional space. The paper presents also the method of image characteristic features detection for the licence plates localization task. The detection is performed by means of appropriately designed filters with low computational complexity.
    Źródło:
    Archives of Transport System Telematics; 2013, 6, 3; 23-26
    1899-8208
    Pojawia się w:
    Archives of Transport System Telematics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural network segmentation of images from stained cucurbits leaves with colour symptoms of biotic and abiotic stresses
    Autorzy:
    Gocławski, J.
    Sekulska-Nalewajko, J.
    Kuźniak, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/330961.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    segmentacja obrazu
    przestrzeń koloru
    przetwarzanie morfologiczne
    progowanie obrazu
    sztuczna sieć neuronowa
    ochrona roślin
    image segmentation
    colour space
    morphological processing
    image thresholding
    artificial neural network
    WTA learning
    Widrow-Hoff learning
    Cucurbita species
    plant stress
    ROS detection
    Opis:
    The increased production of Reactive Oxygen Species (ROS) in plant leaf tissues is a hallmark of a plant's reaction to various environmental stresses. This paper describes an automatic segmentation method for scanned images of cucurbits leaves stained to visualise ROS accumulation sites featured by specific colour hues and intensities. The leaves placed separately in the scanner view field on a colour background are extracted by thresholding in the RGB colour space, then cleaned from petioles to obtain a leaf blade mask. The second stage of the method consists in the classification of within mask pixels in a hue-saturation plane using two classes, determined by leaf regions with and without colour products of the ROS reaction. At this stage a two-layer, hybrid artificial neural network is applied with the first layer as a self-organising Kohonen type network and a linear perceptron output layer (counter propagation network type). The WTA-based, fast competitive learning of the first layer was improved to increase clustering reliability. Widrow-Hoff supervised training used at the output layer utilises manually labelled patterns prepared from training images. The generalisation ability of the network model has been verified by K-fold cross-validation. The method significantly accelerates the measurement of leaf regions containing the ROS reaction colour products and improves measurement accuracy.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2012, 22, 3; 669-684
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Digital image processing for quality ranking of saffron peach
    Autorzy:
    Esehaghbeygi, A.
    Ardforoushan, M.
    Monajemi, S.A.H.
    Masoumi, A.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/24607.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    saffron peach
    machine vision
    image processing
    size
    colour
    quality ranking
    Iranian saffron peach
    quality class
    classification
    fruit
    Źródło:
    International Agrophysics; 2010, 24, 2; 115-120
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the adaptive impulsive noise removal in color images
    Autorzy:
    Smolka, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/332985.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    przetwarzanie obrazu
    usuwanie hałasu
    poprawa jakości obrazu kolorowego
    colour image processing
    impulsive noise removal
    colour image enhancement
    Opis:
    In this paper a novel adaptive filtering scheme for impulsive noise removal in colour images is presented. The noise detection algorithm is based on the concept of aggregated distances assigned to the pixels belonging to the filtering window. The value of the difference between the accumulated distance assigned to the central sample and to the pixel with the lowest rank, serves as an indicator of the presence of impulses injected into the image by the noise process. The output of the proposed filter is a weighted mean of the central pixel of the filtering window and the vector median of its samples. The obtained results show that the proposed filter outperforms existing impulse noise removal techniques for low noise contamination and can be used in various applications in which the detail preserving reduction of impulses play an important role.
    Źródło:
    Journal of Medical Informatics & Technologies; 2009, 13; 23-29
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive generalized vector median
    Autorzy:
    Smołka, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/333453.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    przetwarzanie obrazu
    usuwanie zakłóceń impulsowych
    colour image processing
    impulsive noise removal
    Opis:
    In this paper, a new adaptive filter intended for the attenuation of impulse noise in colour images is proposed. The new filtering design is based on the concept of a peer group of pixels sharing similar chromatic properties. The novel approach adaptively determines the size of the peer group which minimizes the aggregated distance to its members, utilizing the Fisher linear discriminant. The analysis of the obtained noise reduction results leads to the conclusion, that the new filter is capable of reducing even strong impulse noise, while preserving and even enhancing the edges of colour images. This unique property of the proposed filtering design is shown on examples of colour biomedical images.
    Źródło:
    Journal of Medical Informatics & Technologies; 2008, 12; 157-162
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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