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Description
  • Due to multiple distortion effects, confocal laser scanning microscopy (CLSM) images of even homogeneous specimen regions suffer from irregular brightness variations. In this paper, a fast correction method based on estimating a spatially variable illumination gain, and multiplying acquired CLSM 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
  • Due to multiple distortion effects, confocal laser scanning microscopy (CLSM) images of even homogeneous specimen regions suffer from irregular brightness variations. In this paper, a fast correction method based on estimating a spatially variable illumination gain, and multiplying acquired CLSM 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 (en)
Title
  • Application of morphology filters to compensation of lateral illumination inhomogeneities in confocal microscopy images
  • Application of morphology filters to compensation of lateral illumination inhomogeneities in confocal microscopy images (en)
skos:prefLabel
  • Application of morphology filters to compensation of lateral illumination inhomogeneities in confocal microscopy images
  • Application of morphology filters to compensation of lateral illumination inhomogeneities in confocal microscopy images (en)
skos:notation
  • RIV/67985823:_____/10:00347023!RIV11-GA0-67985823
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/08/0691), P(GA304/09/0733), P(LC06063), P(MEB090910), Z(AV0Z50110509), Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 247461
http://linked.open...ai/riv/idVysledku
  • RIV/67985823:_____/10:00347023
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CLSM; illumination inhomogeneities (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1647A1234553]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Analysis of biomedical signals and images
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kubínová, Lucie
  • Michálek, Jan
  • Čapek, Martin
  • Mao, X. W.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of technology
https://schema.org/isbn
  • 978-80-214-4106-4
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