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    Wyświetlanie 1-12 z 12
    Tytuł:
    Application of morphological analysis for gear fault detection and trending
    Autorzy:
    Gryllias, K.
    Yiakopoulos, C.
    Antoniadis, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/329038.pdf
    Data publikacji:
    2008
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    koło
    uszkodzenie
    wykrywanie
    analiza morfologiczna
    analiza wibracji
    defective gears
    morphological processing
    fault trending
    vibration analysis
    Opis:
    Frequency domain based signal processing methods such as cepstrum analysis, Hilbert Transform based demodulation, cyclostationary analysis, etc have been shown to present a quite effective behaviour in the detection of defects, when applied to the analysis of vibration signals, resulting from gear pairs with one or more defective gears. However, these methods typically require some complex and sophisticated analysis, which renders their application cumbersome for applications requiring unskilled personnel or automated fault detection and trending. Alternatively to these methods, morphological analysis for processing vibration signals has been proposed, addressing the issues of how to quantify the shape and the size of the signals directly in the time domain. Morphological analysis and the resulting morphological index is applied in this paper to a set of twelve successive vibration measurements resulting from a gearbox prior to tooth breakage. As shown, the morphological index is able monitor the evolution of the potential fault, providing a clear warning prior to the breakage of the tooth.
    Źródło:
    Diagnostyka; 2008, 4(48); 37-42
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    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:
    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:
    Cyfrowe przetwarzanie obrazów w środowisku Mathcad
    Digital Image Processing in Mathcad
    Autorzy:
    Radzieński, M.
    Noga, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/268894.pdf
    Data publikacji:
    2008
    Wydawca:
    Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
    Tematy:
    cyfrowe przetwarzanie obrazów
    filtracja obrazu
    dwuwymiarowa transformata Fouriera
    digital image processing
    spatial filtering
    filtering in frequency domain
    morphological image processing
    Opis:
    W artykule zostało przedstawione oprogramowanie, opracowane w KAO AM Gdynia, które służy do prezentacji wybranych zagadnień z cyfrowego przetwarzania obrazów (CPO). Zaimplementowane w środowisku Mathcad funkcje realizują zadania CPO z zakresu przekształceń punktowych, kontekstowej filtracji obrazu, wykorzystania transformaty Fouriera w CPO oraz przekształceń morfologicznych.
    This paper presents the software for digital image processing in Mathcad environment with has been developed in Department Ship Automation in Gdynia Maritime University. Functions created in Mathcad allow user to do manifold operation with digital images both in spatial and frequency domain. Software is provided with theory end examples of use for educational purpose.
    Źródło:
    Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2008, 25; 135-139
    1425-5766
    2353-1290
    Pojawia się w:
    Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
    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:
    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:
    Probabilistic morphological modeling of hydrographic networks from satellite imagery using Self-Organizing Maps
    Autorzy:
    Zaremba, M.
    Palenichka, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/206609.pdf
    Data publikacji:
    2002
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    łańcuch Markowa
    modelowanie morfologiczne
    odwzorowanie samoporządkujące
    satelitarne rozpoznawanie obrazów
    sieć neuronowa
    szkieletyzacja
    Markov chains
    morphological modeling
    neural networks
    satellite image processing
    self-organizing maps
    skeletonization
    Opis:
    Adequate and concise representation of the shape of irregular objects from satellite imagery is a challenging problem in remote sensing. The conventional methods for cartographic shape representation are usually inaccurate and will provide only a rough shape description if the description process is to be fully automated. The method for automatic cartographic description of water basins presented in this paper is based on Self-Organizing Maps (SOM) - a class of neural networks with unsupervised learning. So-called structured SOM with local shape attributes such as scale and local connections of vertices are proposed for the description of object shape. The location of each vertex of piecewise linear generating curves that represent skeletons of the objects corresponds to the position of a particular SOM unit. The proposed method makes it possible to extract the object skeletons and to reconstruct the planar shapes of sparse objects based on the topological constraints of generating lines and the estimation of local scale. A context-dependent vertex connectivity test is proposed to enhance the skeletonization process. The test is based on the Markov random chain model of vertices belonging to the same generating line and the Bayesian decision-making principle. The experimental test results using Landsat-7 images demonstrate the accuracy of the proposed approach and its potential for fully automated mapping of hydrological objects.
    Źródło:
    Control and Cybernetics; 2002, 31, 2; 343-369
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Local Wave Energy Dissipation and Morphological Beach Characteristics along a Northernmost Segment of the Polish Coast
    Autorzy:
    Różyński, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/241376.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Instytut Budownictwa Wodnego PAN
    Tematy:
    coastal morphology
    wave energy dissipation
    equilibrium profiles
    data-driven modelling
    signal processing
    Opis:
    This paper analyses cross-shore bathymetric profiles between Władysławowo (km 125 of the Polish coastal chainage) and Lake Sarbsko (km 174) done in 2005 and 2011. Spaced every 500 m, they cover beach topography from dune/cliff crests to a seabed depth of about 15 m. They were decomposed by signal processing techniques to extract the monotonic component of beach topography and to perform a straightforward assessment of wave energy dissipation rates. Three characteristic dissipation patterns were identified: one associated with large nearshore bars and 2–3 zones of wave breaking; a second, to which the equilibrium beach profile concept can be applied; and a third, characterized by mixed behaviour. An attempt was then made to interpret these types of wave energy dissipation in terms of local coastal morphological features and the underlying sedimentary characteristics.
    Źródło:
    Archives of Hydro-Engineering and Environmental Mechanics; 2018, 65, 2; 91-108
    1231-3726
    Pojawia się w:
    Archives of Hydro-Engineering and Environmental Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analyse morphologique automatique du tchèque, mais où est le dictionnaire ?
    Automatic Morphological Analysis of Czech: Where is the Dictionary?
    Autorzy:
    Pognan, Patrice
    Powiązania:
    https://bibliotekanauki.pl/articles/2020920.pdf
    Data publikacji:
    2020
    Wydawca:
    Komisja Nauk Filologicznych Polskiej Akademii Nauk, Oddział we Wrocławiu
    Tematy:
    Czech language
    morphology
    phonology
    calculability
    processing without dictionary
    Opis:
    Presented here is a system for an automatic analysis of Czech morphology mainly based on pattern recognition of linguistic forms according to the linguistic Prague school’s paradigm “form – value.” Taking into account the text and the context allows for the processing of “big data.” This system is based on the concept of calculability. Czech has a very high degree of calculability thanks to a very favorable phonological evolution. Furthermore, the correspondence between what is said and what is written is exact. The experience drawn from this work made it possible to design a grammar course taught for several decades to the satisfaction of the learners. However, the feasibility of this analysis would be demonstrated at best by making entries to a Czech general dictionary.
    Źródło:
    Academic Journal of Modern Philology; 2020, 9; 155-169
    2299-7164
    2353-3218
    Pojawia się w:
    Academic Journal of Modern Philology
    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
    Tytuł:
    Comparison of efficiency of extraction of built-up areas in aerial images using fractal analysis and morphological granulometry
    Porównanie efektywności wyodrębniania terenów zabudowanych na obrazach lotniczych przy pomocy analizy fraktalnej i granulometrii morfologicznej
    Autorzy:
    Kupidura, P.
    Popławski, W.
    Sitko, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/132365.pdf
    Data publikacji:
    2015
    Wydawca:
    Polskie Towarzystwo Geograficzne
    Tematy:
    remote sensing
    mathematical morphology
    fractal analysis
    classification
    digital image processing
    teledetekcja
    morfologia matematyczna
    analiza fraktalna
    klasyfikacja
    cyfrowe przetwarzanie obrazów
    Opis:
    The paper presents a comparison of results of the automatic extraction of built-up areas, based on fractal analysis and granulometric maps, in the aerial images. Built-up areas as a land-use class can be clearly seen in an aerial or satellite image, due to its high granularity, but for the same reason they are very difficult to extract using a “traditional” non-contextual, pixel-based classification. Both approaches presented in the paper, using fractal analysis and morphological granulometry, base generally on a pixel-based classification, but performed on images reviously processed using these two types of processes. Fractal analysis consists in an empirical computing of fractal dimension of parts of an image, using a box-counting method. Such an approach generates an image where pixel values are equal to a fractal dimension values of their neighbourhood. Since we can interpret a fractal dimension as a level of granularity, a simple reclassification of such an image can improve a performance of an automatic extraction of built-up area effectively. The approach based on a morphological granulometry creates a number of granulometric maps – images where pixel values mean an amount of objects of certain size in a set neighbouring fragment of an image. This way a number of these images can be processed using a pixel-based classification, to perform an effective extraction of built-up areas in an image. The results of the presented approaches have been compared to the reference mask obtained basing on a visual interpretation of the image.
    Źródło:
    Teledetekcja Środowiska; 2015, 52; 29-37
    1644-6380
    Pojawia się w:
    Teledetekcja Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A proof of non-existence of self-imaging phenomenon in the incoherent case
    Dowód nieistnienia zjawiska samoobrazowania w przypadku niekoherentnym
    Autorzy:
    Mamczur, J. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/129549.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Rzeszowska im. Ignacego Łukasiewicza. Oficyna Wydawnicza
    Tematy:
    optical data processing
    image formation theory
    optical transfer functions
    optical morphological transformations
    spatial filtering
    Fourier optics
    Fourier transforms
    przetwarzanie danych optycznych
    teoria powstawania obrazów
    transformaty optyczne
    filtracja częstości przestrzennych
    optyka fourierowska
    transformaty Fouriera
    Opis:
    The existing description of incoherent wave field propagation in terms of Fourier transformation has made possible to prove non-existence of the self-imaging phenomenon for incoherent images.
    Na podstawie istniejącego opisu optycznej propagacji niekoherentnych pól falowych z zastosowaniem transformacji Fouriera udowodniono teoretycznie nieistnienie zjawiska samoobrazowania dla niekoherentnych obrazów.
    Źródło:
    Physics for Economy; 2017, 1, 1; 35-39
    2544-7742
    2544-7750
    Pojawia się w:
    Physics for Economy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-12 z 12

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