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    Wyświetlanie 1-5 z 5
    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:
    Zastosowanie morfologicznego przetwarzania obrazu do ekstrakcji informacji o wielkości kropli z użyciem papieru wodnoczułego
    Application of morphological image processing to extraction of information about the droplet size using water sensitive paper
    Autorzy:
    Lipiński, S.
    Lipiński, A. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/153054.pdf
    Data publikacji:
    2011
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    papier wodnoczuły
    jakość oprysku
    średnica kropli
    morfologiczne przetwarzanie obrazu
    water sensitive paper
    spraying quality
    droplet diameter
    morphological image processing
    Opis:
    Papierki wodnoczułe są powszechnie wykorzystywane przy ocenie pokrycia różnych powierzchni cieczą, w wielu zastosowaniach. Na jakościową ocenę pokrycia znaczący wpływ mają rejestrowane średnice kropli. W pracy zaimplementowano operacje morfologicznego i arytmetycznego przetwarzania obrazu w celu rozróżnienia wielkości kropli ze skanów papierków wodnoczułych, podziału tego obrazu na obrazy zawierające krople o średnicach mieszczących się w określonych zakresach i utworzenia histogramów pozwalających scharakteryzować pokrycie papierka wodnoczułego.
    Water sensitive paper is often used to evaluate the quality of covering the area with liquid in many applications [3, 4, 5, 6, 7, 8]. The paper proposes using the chosen image processing methods to obtain information about the droplet diameter from scans of water sensitive papers. For that purpose, arithmetic and morphological operations are employed (Section 2) [15, 19, 20]. The general procedure of extracting the images containing the droplets with diameters of specified classes from the input data is shown (Section 3, Fig. 2). Water sensitive paper is most often used to characterize the plant spraying quality, so the papers obtained during field ex-periments [7] (after the binarization using the Otsu method [9, 17]) were used as the exemplary input images (Figs. 1 and 5). On the basis of the performed analysis, the histograms illustrating quantitative distribution of droplets with diameter contained in chosen classes (Figs. 3 and 5) and the histograms showing the area covered with droplets from each of these classes (Figs. 4 and 7) were obtained. Histograms like these can be used for characteriza-tion of the spraying quality or its usefulness in specific application [10]. The proposed method makes use of efficient methods of image processing, which predestines it for implementation in real time systems [15, 16].
    Źródło:
    Pomiary Automatyka Kontrola; 2011, R. 57, nr 6, 6; 630-633
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Local detection of defects from image sequences
    Autorzy:
    Rafajłowicz, E.
    Wnuk, M.
    Rafajłowicz, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/929862.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    przetwarzanie obrazu
    wymiar fraktalny
    operacje morfologiczne
    image processing
    fractal dimension
    morphological operations
    Opis:
    Our aim is to discuss three approaches to the detection of defects in continuous production processes, which are based on local methods of processing image sequences. These approaches are motivated by and applicable to images of hot metals or other surfaces, which are uniform at a macroscopic level, when defects are not present. The first of them is based on the estimation of fractal dimensions of image cross-sections. The second and third approaches are compositions of known techniques, which are selected and tuned to our goal. We discuss their advantages and disadvantages, since they provide different information on defects. The results of their testing on 12 industrial images are also summarized.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 581-592
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Aggregate segmentation of asphaltic mixes using digital image processing
    Autorzy:
    Reyes-Ortiz, Oscar R.
    Mejía, M.
    Useche-Castelblanco, J. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/201845.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    digital image processing
    asphalt mixtures
    morphological operations
    particle segmentation
    cyfrowe przetwarzanie obrazów
    mieszanki asfaltowe
    operacje morfologiczne
    segmentacja cząstek
    Opis:
    The study of the different engineering materials according to their mechanical and dynamic characteristics has become an area of research interest in recent years. Several studies have verified that the mechanical properties of the material are directly affected by the distribution and size of the particles that compose it. Such is the case of asphalt mixtures. For this reason, different digital tools have been developed in order to be able to detect the structural components of the elements in a precise, clear and efficient manner. In this work, a segmentation model is developed for different types of dense-graded asphalt mixtures with grain sizes from 9.5 mm to 0.0075 mm, using sieve size reconstruction of the laboratory production curve. The laboratory curve is used to validate the particles detection model that uses morphological operations for elements separation. All this with the objective of developing a versatile tool for the analysis and study of pavement structures in a non-destructive test. The results show that the model presented in this work is able to segment elements with an area greater than 0.0324 mm2 and reproduce the sieve size curves of the mixtures with a high percentage of precision.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 2; 279-287
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Experimental investigation into material characteristics of pea gravel
    Autorzy:
    Zhang, Jinliang
    Huang, Qiuxiang
    Hu, Chao
    Wang, Zhiqiang
    Powiązania:
    https://bibliotekanauki.pl/articles/1852329.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    żwirek groszkowy
    właściwości morfologiczne
    pusta zawartość nieskompaktowana
    wytrzymałość na ściskanie
    cyfrowe przetwarzanie obrazu
    tarcza TBM
    pea gravel
    morphological properties
    uncompacted void content
    compressive strength
    digital image processing
    TBM shield
    Opis:
    Pea gravel is a kind of a coarse aggregate with a specific particle size used to fill the annular gap between the lining segments and the surrounding ground when tunnel construction with shield machines is performed in hard rock. The main purpose of the present study is to propose quantitative morphological indices of the pea gravel and to establish their relations with the void content of the aggregate and the compressive strength of the mixture of pea gravel and slurry (MPS). Results indicate that the pea gravel of the crushed rock generally have a larger void content than that of the river pebble, and the grain size has the highest influence on the void ratio. Elongation, roughness and angularity have moderate influences on the void ratio. The content of the oversize or undersize particles in the sample affects the void ratio of the granular assembly in a contrary way. The compressive strength of the MPS made with the river pebble is obviously smaller than that of the MPS made with the crushed rock. In the crushed rock samples, the compressive strength increases with the increase of the oversize particle content. The relations between the morphological properties and the void content, and the morphological properties and the compressive strength of the MPS are expressed as regression functions. The outcomes of this study would assist with quality assessments in TBM engineering for the selection of the pea gravel material and the prediction of the compressive strength of the MPS.
    Źródło:
    Archives of Civil Engineering; 2021, 67, 3; 415-435
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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