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  • The section deals with classification of microscope images of Picea Abies stomas. There is an assumption that a stoma character strongly depends on the level of air pollution, so that stoma can stand for an important environmental bioindicator. According to the level of stoma incrustation it is possible to distinguish several classes of stoma structures. A proposal of an algorithm enabling the automatic recognition of a stoma incrustation level is a main goal of this study. There are two principles discussed in the paper: The first principle is based on gradient methods while the second one uses a wavelet transform. Possibilities of application of mentioned attitudes were investigated and the classification criteria distinguishing the stoma character were suggested, as well. The resulting algorithm was verified for a set of four hundred real images and results achieved were compared with an expert's sensual classification.
  • The section deals with classification of microscope images of Picea Abies stomas. There is an assumption that a stoma character strongly depends on the level of air pollution, so that stoma can stand for an important environmental bioindicator. According to the level of stoma incrustation it is possible to distinguish several classes of stoma structures. A proposal of an algorithm enabling the automatic recognition of a stoma incrustation level is a main goal of this study. There are two principles discussed in the paper: The first principle is based on gradient methods while the second one uses a wavelet transform. Possibilities of application of mentioned attitudes were investigated and the classification criteria distinguishing the stoma character were suggested, as well. The resulting algorithm was verified for a set of four hundred real images and results achieved were compared with an expert's sensual classification. (en)
Title
  • Texture Classification in Bioindicator Images Processing
  • Texture Classification in Bioindicator Images Processing (en)
skos:prefLabel
  • Texture Classification in Bioindicator Images Processing
  • Texture Classification in Bioindicator Images Processing (en)
skos:notation
  • RIV/60461373:22340/11:43892247!RIV12-MSM-22340___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6046137306)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 235052
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22340/11:43892247
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Automation; Wavelet Transform Application; Gradient Methods; Image Processing; Environment; Picea Abies; Bioindicators (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C1C783590A9C]
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...vEdiceCisloSvazku
  • Studies in Computational Intelligence, 378
http://linked.open...i/riv/nazevZdroje
  • Recent Advances in Intelligent Engineering Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
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http://linked.open...iv/tvurceVysledku
  • Mudrová, Martina
  • Procházka, Aleš
  • Slavíková, Petra
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-23229-9_15
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-23228-2
http://localhost/t...ganizacniJednotka
  • 22340
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