Temat: skeletonization - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Definition of dynamic characteristics of pointer measuring devices on the basis of automatic indications determination
Autorzy:: Kucheruk, V.
Kurytnik, I.
Kulakov, P.
Lishchuk, R.
Moskvichova, Y.
Kulakova, A.
Powiązania:: https://bibliotekanauki.pl/articles/949819.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: pointer measuring devices
binarization
skeletonization
recognition
dynamic characteristics
Opis:: The article presents the method and algorithm of automatic pointer measuring devices (voltmeter, manometer, metronomes etc.) indications determination in order to determine their dynamic characteristics with the help of web-camera and personal computer. The results of testing and experimental research of developed tool for determining the dynamic characteristics of pointer measuring devices are given. Using this method, the algorithm and the software developed, the process of determining the dynamic characteristics of the pointer measuring devices was automated. The time of recognition and calculation of one measured value for a dual-core processor and webcam with a resolution of 0.3 Mp averages 250–330 ms.
Źródło:: Archives of Control Sciences; 2018, 28, 3; 401-418
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: 3D thinning and its applications to medical image processing
Autorzy:: Palágyi, K.
Sorantin, E.
Halmai, C.
Kuba, A.
Powiązania:: https://bibliotekanauki.pl/articles/1954512.pdf
Data publikacji:: 1999
Wydawca:: Politechnika Gdańska
Tematy:: skeletonization techniques
3D parallel thinning
medical image processing
Opis:: A skeleton is a frequently-used feature to represent the general form of an object. The importance of this region-based shape feature is growing in medical image processing, too. This paper summarizes the major skeletonization approaches, the 3D parallel thinning methodologies and some emerging medical applications. An application to calculate the cross-sectional profiles of blood vessels is also presented.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 1999, 3, 4; 397-407
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A modified K3M thinning algorithm
Autorzy:: Tabedzki, M.
Saeed, K.
Szczepański, A.
Powiązania:: https://bibliotekanauki.pl/articles/331149.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: skeletonization
thinning algorithm
K3M algorithm
digital image processing
szkieletyzacja
pocienianie
algorytm K3M
cyfrowe przetwarzanie obrazu
Opis:: The K3M thinning algorithm is a general method for image data reduction by skeletonization. It had proved its feasibility in most cases as a reliable and robust solution in typical applications of thinning, particularly in preprocessing for optical character recognition. However, the algorithm had still some weak points. Since then K3M has been revised, addressing the best known drawbacks. This paper presents a modified version of the algorithm. A comparison is made with the original one and two other thinning approaches. The proposed modification, among other things, solves the main drawback of K3M, namely, the results of thinning an image after rotation with various angles.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2016, 26, 2; 439-450
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: K3M: A universal algorithm for image skeletonization and a review of thinning techniques
Autorzy:: Saeed, K.
Tabędzki, M.
Rybnik, M.
Adamski, M.
Powiązania:: https://bibliotekanauki.pl/articles/907744.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: szkieletyzacja
obraz cyfrowy
przetwarzanie obrazu
przetwarzanie równoległe
skeletonization
thinning
digital image processing
parallelization
iteration
thinning methodologies
sequential thinning
parallel thinning
Opis:: This paper aims at three aspects closely related to each other: first, it presents the state of the art in the area of thinning methodologies, by giving descriptions of general ideas of the most significant algorithms with a comparison between them. Secondly, it proposes a new thinning algorithm that presents interesting properties in terms of processing quality and algorithm clarity, enriched with examples. Thirdly, the work considers parallelization issues for intrinsically sequential algorithms of thinning. The main advantage of the suggested algorithm is its universality, which makes it useful and versatile for a variety of applications.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2010, 20, 2; 317-335
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

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

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