Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057285" target="_blank" >RIV/00216224:14330/12:00057285 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-31298-4_56" target="_blank" >http://dx.doi.org/10.1007/978-3-642-31298-4_56</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-31298-4_56" target="_blank" >10.1007/978-3-642-31298-4_56</a>
Alternative languages
Result language
angličtina
Original language name
Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy
Original language description
In the field of biomedical image analysis, motion tracking and segmentation algorithms are important tools for time-resolved analysis of cell characteristics, events, and tracking. There are many algorithms in everyday use. Nevertheless, most of them isnot properly validated as the ground truth (GT), which is a very important tool for the verification of image processing algorithms, is not naturally available. Many algorithms in this field of study are, therefore, validated only manually by an human expert. This is usually difficult, cumbersome and time consuming task, especially when single 3D image or even 3D image sequence is considered. In this paper, we have proposed a technique that generates time-lapse sequences of fully 3D synthetic image datasets. It includes generating shape, structure, and also motion of selected biological objects. The corresponding GT data is generated as well. The technique is focused on the generation of synthetic objects at various scales.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP302%2F12%2FG157" target="_blank" >GBP302/12/G157: Dynamics and Organization of Chromosomes in the Cell Cycle and during Differentiation under Normal and Pathological Conditions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 9th International Conference on Image Analysis and Recognition
ISBN
9783642312977
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
473-482
Publisher name
Springer-Verlag
Place of publication
Heidelberg
Event location
Aveiro, Portugal
Event date
Jun 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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