Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/GBP302%2F12%2FG157" target="_blank" >GBP302/12/G157: Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 9th International Conference on Image Analysis and Recognition

ISBN

9783642312977

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

473-482

Název nakladatele

Springer-Verlag

Místo vydání

Heidelberg

Místo konání akce

Aveiro, Portugal

Datum konání akce

25. 6. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—