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Wyszukujesz frazę "visual image processing" wg kryterium: Temat

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    Wyświetlanie 1-6 z 6
    Tytuł:
    Visual Navigation System Based on Elementary Image Processing Techniques
    Autorzy:
    Zasuwa, M.
    Narkiewicz, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/320841.pdf
    Data publikacji:
    2010
    Wydawca:
    Polskie Forum Nawigacyjne
    Tematy:
    image processing
    visual navigation
    integrated system
    Opis:
    A visual navigation system with a simple pattern matching algorithm was designed and analyzed. A video camera is the system main sensor for image acquisition. It is supported by magnetic compass. A Scene Matching Area Correlation (SMAC) method based on a cross correlation technique is implemented for image processing. The system was tested both in off-line simulations and on-board of a land vehicle. A GPS receiver was used for system calibration and as a source exact position coordinates. The efficiency of the signal processing algorithm during the field tests confirmed efficiency of the methods developed for determination of vehicle position and velocity. A visual navigation system based on simple image processing techniques may be applied on board mobile vehicles in an autonomous way or as a component of integrated navigation system.
    Źródło:
    Annual of Navigation; 2010, 16; 173-191
    1640-8632
    Pojawia się w:
    Annual of Navigation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Visual Detection Method of Longitudinal Crack Based on Computer Image Processing During Slab Continuous Casting
    Autorzy:
    Liu, Y.
    Wang, X.
    Sun, Y.
    Du, F.
    Gao, Y.
    Wang, F.
    Wang, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/351636.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    longitudinal crack
    visual detection
    image processing
    continuous casting
    Opis:
    Based on the mould temperature measured by thermocouples during slab continuous casting, a difference of temperature thermograph is developed to detect slab cracks. In order to detect abnormal temperature region caused by longitudinal crack, the suspicious regions are extracted and divided by virtue of computer image processing algorithms, such as threshold segmentation, connected region judgement and boundary tracing. The abnormal regions are then determined and labeled with the eight connected component labeling algorithm. The boundary of abnormal region is also extracted to depict characteristics of longitudinal crack. Based on above researches, longitudinal crack with abnormal temperature region can be detected and is different from other abnormalities. Four samples of temperature drop are picked up to compare with longitudinal crack on the abnormal region formation, length, width, shape, et al. The results show that the abnormal region caused by longitudinal crack has a linear and vertical shape. The height of abnormal region is more than the width obviously. The ratio of height to width is usually larger than that of other temperature drop regions. This method provides a visual and easy way to detect longitudinal crack and other abnormities. Meanwhile it has a positive meaning to the intelligent and visual mould monitoring system of continuous casting.
    Źródło:
    Archives of Metallurgy and Materials; 2018, 63, 2; 673-680
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    High dynamic range imaging by perceptual logarithmic exposure merging
    Autorzy:
    Florea, C.
    Vertan, C.
    Florea, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/330053.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    logarithmic image processing
    human visual system
    high dynamic range
    logarytmiczne przetwarzanie obrazu
    system wizualny człowieka
    Opis:
    In this paper we emphasize a similarity between the logarithmic type image processing (LTIP) model and the Naka–Rushton model of the human visual system (HVS). LTIP is a derivation of logarithmic image processing (LIP), which further replaces the logarithmic function with a ratio of polynomial functions. Based on this similarity, we show that it is possible to present a unifying framework for the high dynamic range (HDR) imaging problem, namely, that performing exposure merging under the LTIP model is equivalent to standard irradiance map fusion. The resulting HDR algorithm is shown to provide high quality in both subjective and objective evaluations.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2015, 25, 4; 943-954
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Infrared small-target detection under a complex background based on a local gradient contrast method
    Autorzy:
    Yang, Linna
    Xie, Tao
    Liu, Mingxing
    Zhang, Mingjiang
    Qi, Shuaihui
    Yang, Jungang
    Powiązania:
    https://bibliotekanauki.pl/articles/2201024.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    small target detection
    local gradient contrast
    visual saliency
    infrared image processing
    kontrast lokalny
    wyróżnienie wizualne
    obrazowanie w podczerwieni
    Opis:
    Small target detection under a complex background has always been a hot and difficult problem in the field of image processing. Due to the factors such as a complex background and a low signal-to-noise ratio, the existing methods cannot robustly detect targets submerged in strong clutter and noise. In this paper, a local gradient contrast method (LGCM) is proposed. Firstly, the optimal scale for each pixel is obtained by calculating a multiscale salient map. Then, a subblockbased local gradient measure is designed; it can suppress strong clutter interference and pixel-sized noise simultaneously. Thirdly, the subblock-based local gradient measure and the salient map are utilized to construct the LGCM. Finally, an adaptive threshold is employed to extract the final detection result. Experimental results on six datasets demonstrate that the proposed method can discard clutters and yield superior results compared with state-of-the-art methods.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2023, 33, 1; 33--43
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-line signal change detection for image segmentation with application in the ceramic tile industry
    Autorzy:
    Sušac, Filip
    Matić, Tomislav
    Aleksi, Ivan
    Keser, Tomislav
    Powiązania:
    https://bibliotekanauki.pl/articles/2173520.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    segmentation
    edge detection
    biscuit tile
    image processing
    visual inspection
    ceramic industry
    segmentacja
    wykrywanie krawędzi
    przetwarzanie obrazu
    oględziny
    przemysł ceramiczny
    Opis:
    In the ceramic industry, quality control is performed using visual inspection in three different product stages: green, biscuit, and the final ceramic tile. To develop a real-time computer visual inspection system, the necessary step is successful tile segmentation from its background. In this paper, a new statistical multi-line signal change detection (MLSCD) segmentation method based on signal change detection (SCD) method is presented. Through experimental results on seven different ceramic tile image sets, MLSCD performance is analyzed and compared with the SCD method. Finally, recommended parameters are proposed for optimal performance of the MLSCD method.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137121, 1--11
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-line signal change detection for image segmentation with application in the ceramic tile industry
    Autorzy:
    Sušac, Filip
    Matić, Tomislav
    Aleksi, Ivan
    Keser, Tomislav
    Powiązania:
    https://bibliotekanauki.pl/articles/2173620.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    segmentation
    edge detection
    biscuit tile
    image processing
    visual inspection
    ceramic industry
    segmentacja
    wykrywanie krawędzi
    przetwarzanie obrazu
    oględziny
    przemysł ceramiczny
    Opis:
    In the ceramic industry, quality control is performed using visual inspection in three different product stages: green, biscuit, and the final ceramic tile. To develop a real-time computer visual inspection system, the necessary step is successful tile segmentation from its background. In this paper, a new statistical multi-line signal change detection (MLSCD) segmentation method based on signal change detection (SCD) method is presented. Through experimental results on seven different ceramic tile image sets, MLSCD performance is analyzed and compared with the SCD method. Finally, recommended parameters are proposed for optimal performance of the MLSCD method.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137121
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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