Detailed Information on Publication Record
2013
On generating benchmark datasets for evaluation of segmentation and tracking algorithms in fluorescence microscopy
SVOBODA, DavidBasic information
Original name
On generating benchmark datasets for evaluation of segmentation and tracking algorithms in fluorescence microscopy
Authors
SVOBODA, David (203 Czech Republic, guarantor, belonging to the institution)
Edition
SPlab workshop, 2013
Other information
Language
English
Type of outcome
Vyžádané přednášky
Field of Study
20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14330/13:00066770
Organization unit
Faculty of Informatics
Keywords in English
simulation; benchmark datasets; image processing; fluorescence microscopy
Tags
Změněno: 22/1/2014 13:19, doc. RNDr. David Svoboda, Ph.D.
Abstract
V originále
In fluorescence microscopy, the proper evaluation of image segmentation and tracking algorithms is still an open problem. As the ground truth for cell image data (and measurements on them) is not available in most experiments, the outputs of different image analysis methods can hardly be verified or compared to each other. We created a toolbox that can generate 3D digital phantoms of specific cellular components along with their corresponding images degraded by specific optics and electronics. The images can represent static scenes (fixed cell) as well as time-lapse sequences (living cells). Such synthetically generated images can serve as a benchmark dataset for measuring the quality of various segmentation and tracking algorithms.
Links
| GBP302/12/G157, research and development project |
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