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@inproceedings{1173483,
author = {Majtner, Tomáš and Svoboda, David},
address = {Switzerland},
booktitle = {16th International Workshop on Combinatorial Image Analysis (IWCIA) 2014},
doi = {http://dx.doi.org/10.1007/978-3-319-07148-0_17},
editor = {Reneta P. Barneva, Valentin E. Brimkov, Josef Šlapal},
keywords = {3D images; Texture descriptors; Fluorescence microscopy; Local Binary Patterns},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Switzerland},
isbn = {978-3-319-07147-3},
pages = {186-195},
publisher = {Springer International Publishing},
title = {Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy},
url = {http://link.springer.com/chapter/10.1007/978-3-319-07148-0_17},
year = {2014}
}
TY - JOUR
ID - 1173483
AU - Majtner, Tomáš - Svoboda, David
PY - 2014
TI - Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy
PB - Springer International Publishing
CY - Switzerland
SN - 9783319071473
KW - 3D images
KW - Texture descriptors
KW - Fluorescence microscopy
KW - Local Binary Patterns
UR - http://link.springer.com/chapter/10.1007/978-3-319-07148-0_17
L2 - http://link.springer.com/chapter/10.1007/978-3-319-07148-0_17
N2 - In recent years, research groups concentrate still more attention on 3D images, especially in the field of biomedical image processing. Adding another dimension enables to capture the entire object. On the other hand, handling 3D images requires also new algorithms, since not all of them can be modified for higher dimensions intuitively. In this article, we introduce a comparison of various implementations of 3D texture descriptors presented in the literature in recent years. We prepared an unified environment to test all of them under the same conditions. From the results of our tests we came to conclusion, that 3D variants of LBP in the combination with k-NN classifier are very strong approach with the classification accuracy more than 99% on selected group of 3D biomedical images.
ER -
MAJTNER, Tomáš and David SVOBODA. Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy. In Reneta P. Barneva, Valentin E. Brimkov, Josef Šlapal. \textit{16th International Workshop on Combinatorial Image Analysis (IWCIA) 2014}. Switzerland: Springer International Publishing, 2014, p.~186-195. ISBN~978-3-319-07147-3. Available from: https://dx.doi.org/10.1007/978-3-319-07148-0\_{}17.
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