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Wyszukujesz frazę "morphological processing" wg kryterium: Temat


Wyświetlanie 1-2 z 2
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
    Wyświetlanie 1-2 z 2

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