Application of Morphology Filters to Compensation of Lateral Illumination Inhomogeneities in Confocal Microscopy Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F10%3A00168769" target="_blank" >RIV/68407700:21460/10:00168769 - isvavai.cz</a>
Alternative codes found
RIV/67985823:_____/10:00347023
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of Morphology Filters to Compensation of Lateral Illumination Inhomogeneities in Confocal Microscopy Images
Original language description
Due to multiple distortion effects, confocal laser scanning microscopy (CLSM) images of even homogeneous specimen regions suffer from irregular brightness variations. Grayscale map variations hamper image postprocessing e.g. in alignment of overlapping regions of two images, in 3D reconstruction etc., since most measures of similarity assume a spatially independent grayscale map. In this paper, a fast correction method based on estimating a spatially variable illumination gain, and multiplying acquiredCLSM images by the inverse of the estimated gain, is presented. The method does not require any special calibration (reference) images since the gain estimate is extracted from the CLSM image being corrected itself. The proposed approach exploits two types of morphological filters: the median filter and a morphological operator called the upper Lipschitz cover.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Analysis of Biomedical Signals and Images, BIOSIGNAL 2010, Proceedings
ISBN
978-80-214-4106-4
ISSN
1211-412X
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 27, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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