Automatic Bioindicator Images Evaluation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F10%3A00023506" target="_blank" >RIV/60461373:22340/10:00023506 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Bioindicator Images Evaluation

Popis výsledku v původním jazyce

Presented paper deals with processing of electron-microscope images of Picea Abies stomas. A stoma character strongly depends on the level of air pollution as the stoma epidermis covers with epiticular waxes to protect itself against the negative environmental influences. According to the level of incrustation it is possible to distinguish five classes of stoma structure. An automatic algorithm recognizing a degree of stoma damage, based on the microscopic image processing can be useful during the process of environmental assessment. This work is devoted to a solution of the problem of stoma evaluation by means of texture classification. There are two principles discussed in the paper: Gradient methods application and a wavelet transform use. Possibilities of both attitudes were investigated and the classification criteria were suggested. The resulting algorithm was verified on a library of real images and achieved results were compared with sensual classification.

Název v anglickém jazyce

Automatic Bioindicator Images Evaluation

Popis výsledku anglicky

Presented paper deals with processing of electron-microscope images of Picea Abies stomas. A stoma character strongly depends on the level of air pollution as the stoma epidermis covers with epiticular waxes to protect itself against the negative environmental influences. According to the level of incrustation it is possible to distinguish five classes of stoma structure. An automatic algorithm recognizing a degree of stoma damage, based on the microscopic image processing can be useful during the process of environmental assessment. This work is devoted to a solution of the problem of stoma evaluation by means of texture classification. There are two principles discussed in the paper: Gradient methods application and a wavelet transform use. Possibilities of both attitudes were investigated and the classification criteria were suggested. The resulting algorithm was verified on a library of real images and achieved results were compared with sensual classification.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of 14th IEEE Int. Conf. on Intelligent Engineering Systems INES 2010

ISBN

978-1-4244-7651-0

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

IEEE Hungary

Místo vydání

Budapest

Místo konání akce

Las Palmas of Gran Canaria

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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