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Lateral Brightness Correction in Confocal Microscopy Images Using Mathematical Morphology Filters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F10%3A00170809" target="_blank" >RIV/68407700:21460/10:00170809 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985823:_____/10:00354159

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Lateral Brightness Correction in Confocal Microscopy Images Using Mathematical Morphology Filters

  • Original language description

    We present a fast correction method based on estimating a spatially variable gain which models the lateral brightness distortion, and multiplying acquired CLSM images by the inverse of the estimated gain. The estimation is done from the CLSM image itself, not from some kind of a reference image. The proposed approach exploits two types of mathematical morphology operators: the median filter and the upper Lipschitz cover.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

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

  • Name of the periodical

    Microscopy and Microanalysis

  • ISSN

    1431-9276

  • e-ISSN

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    Suppl. 2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    2

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database