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@inproceedings{936280,
author = {Svoboda, David and Homola, Ondřej and Stejskal, Stanislav},
address = {Berlin, Heidelberg},
booktitle = {Proceedings of 8th International Conference on Image Analysis and Recognition},
doi = {http://dx.doi.org/10.1007/978-3-642-21596-4_4},
edition = {LNCS 6754, Part II},
editor = {M. Kamel and A. Campilho},
keywords = {Digital phantom; Colon tissue; Simulation; Haralick texture features},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin, Heidelberg},
isbn = {978-3-642-21595-7},
pages = {31-39},
publisher = {Springer-Verlag},
title = {Generation of 3D Digital Phantoms of Colon Tissue},
year = {2011}
}
TY - JOUR
ID - 936280
AU - Svoboda, David - Homola, Ondřej - Stejskal, Stanislav
PY - 2011
TI - Generation of 3D Digital Phantoms of Colon Tissue
PB - Springer-Verlag
CY - Berlin, Heidelberg
SN - 9783642215957
KW - Digital phantom
KW - Colon tissue
KW - Simulation
KW - Haralick texture features
N2 - Although segmentation of biomedical image data has been paid a lot of attention for many years, this crucial task still meets the problem of the correctness of the obtained results. Especially in the case of optical microscopy, the ground truth (GT), which is a very important tool for the validation of image processing algorithms, is not available. We have developed a toolkit that generates fully 3D digital phantoms, that represent the structure of the studied biological objects. While former papers concentrated on the modelling of isolated cells (such as blood cells), this work focuses on a representative of tissue image type, namely human colon tissue. This phantom image can be submitted to the engine that simulates the image acquisition process. Such synthetic image can be further processed, e.g. deconvolved or segmented. The results can be compared with the GT derived from the digital phantom and the quality of the applied algorithm can be measured.
ER -
SVOBODA, David, Ondřej HOMOLA a Stanislav STEJSKAL. Generation of 3D Digital Phantoms of Colon Tissue. In M. Kamel and A. Campilho. \textit{Proceedings of 8th International Conference on Image Analysis and Recognition}. LNCS 6754, Part II. Berlin, Heidelberg: Springer-Verlag, 2011, s.~31-39. ISBN~978-3-642-21595-7. Dostupné z: https://dx.doi.org/10.1007/978-3-642-21596-4\_{}4.
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