Binarization of noisy microscopy images through signal reconstruction using iterative detection network

Result code in IS VaVaI
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Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Binarization of noisy microscopy images through signal reconstruction using iterative detection network
Original language description
We propose a novel binarization method based on a signal reconstruction using an iterative detection network. The algorithm simulates the whole image acquisition process taking into account a point spread function of the imaging system and its noise characteristics. The negative influence of image blur and noise is effectively suppressed by iterative detection network based on the criterion of maximum a posteriori probability. The proposed method was successfully applied to noisy microscopy images. Experiments show that the proposed method due to the noise suppression and deconvolution properties provides for noisy images significantly better results compared to common thresholding techniques. Binarized images obtained by the proposed method can be particularly useful for particle detection and analysis of cell samples.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2014 IEEE International Conference on Image Processing (ICIP 2014)
ISBN
978-1-4799-5750-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
3949-3952
Publisher name
IEEE
Place of publication
Piscataway
Event location
Paríž
Event date
Oct 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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