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  • Due to the limitations of the scanning process, the image data acquired using confocal microscope are of-ten corrupted by the noise. Therefore some image preprocessing, which would reduce the noise without degradation of the underlying image, is needed before any further stage of image analysis. In this review we will discuss several well-known nonlinear diffusion filters, as they were published in the last decade. These filters are based on evolution of nonlinear partial differential equations. Unlike the common linear filters, they significantly reduce the amount of noise in the image while preserving details or even enhancing some edges. We will present efficient numerical schemes for solving such equations. Last but not least practical examples, comparison of the behaviour of individual methods and our experience with these filters will be shown.
  • Due to the limitations of the scanning process, the image data acquired using confocal microscope are of-ten corrupted by the noise. Therefore some image preprocessing, which would reduce the noise without degradation of the underlying image, is needed before any further stage of image analysis. In this review we will discuss several well-known nonlinear diffusion filters, as they were published in the last decade. These filters are based on evolution of nonlinear partial differential equations. Unlike the common linear filters, they significantly reduce the amount of noise in the image while preserving details or even enhancing some edges. We will present efficient numerical schemes for solving such equations. Last but not least practical examples, comparison of the behaviour of individual methods and our experience with these filters will be shown. (en)
Title
  • Enhancement of Images Acquired using Optical Microscope
  • Enhancement of Images Acquired using Optical Microscope (en)
skos:prefLabel
  • Enhancement of Images Acquired using Optical Microscope
  • Enhancement of Images Acquired using Optical Microscope (en)
skos:notation
  • RIV/00216224:14330/05:00014836!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021622419)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 520306
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/05:00014836
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • nonlinear diffusion; biomedical application; AOS numerical scheme; confocal microscopy (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C01AAFADC19E]
http://linked.open...v/mistoKonaniAkce
  • Brno (Česká republika)
http://linked.open...i/riv/mistoVydani
  • Brno (Česká republika)
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 1st International Summer School on Computational Biology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hubený, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Masarykova univerzita
https://schema.org/isbn
  • 80-210-3907-8
http://localhost/t...ganizacniJednotka
  • 14330
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