Texture Classification in Bioindicator Images Processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F11%3A43892247" target="_blank" >RIV/60461373:22340/11:43892247 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-23229-9_15" target="_blank" >http://dx.doi.org/10.1007/978-3-642-23229-9_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-23229-9_15" target="_blank" >10.1007/978-3-642-23229-9_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Texture Classification in Bioindicator Images Processing

Popis výsledku v původním jazyce

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. Accordingto 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.

Název v anglickém jazyce

Texture Classification in Bioindicator Images Processing

Popis výsledku anglicky

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. Accordingto 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.

Druh

C - Kapitola v odborné knize

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Recent Advances in Intelligent Engineering Systems

ISBN

978-3-642-23228-2

Počet stran výsledku

15

Strana od-do

325-339

Počet stran knihy

440

Název nakladatele

Springer Verlag

Místo vydání

Berlin

Kód UT WoS kapitoly

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