Classification method for macular lesions using fuzzy thresholding method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100258" target="_blank" >RIV/61989100:27240/16:86100258 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-32703-7_48" target="_blank" >http://dx.doi.org/10.1007/978-3-319-32703-7_48</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-32703-7_48" target="_blank" >10.1007/978-3-319-32703-7_48</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Classification method for macular lesions using fuzzy thresholding method

Popis výsledku v původním jazyce

The paper deals with analysis of image data macular lesions. In clinical practice, there is a problem with identification of macular lesion. Those pathological changes are fairly sufficiently observable. On the other hand, there are complications with computing and investigating their area. To the best of our knowledge, there is no any proprietary software for automatic extraction and classification stage of macular lesions. The proposed algorithm offers suitable way for automatic extraction. The core of the algorithm is based on the classification individual pixels to output classes. Each class represents specific object in the image. After taking classification process, individual objects are separated. By this approach we obtain mathematical model of analyzed lesions. Furthermore, segmentation method uses color mapping of shade level images. It means that we obtain color intensity image instead of shade level data.

Název v anglickém jazyce

Classification method for macular lesions using fuzzy thresholding method

Popis výsledku anglicky

The paper deals with analysis of image data macular lesions. In clinical practice, there is a problem with identification of macular lesion. Those pathological changes are fairly sufficiently observable. On the other hand, there are complications with computing and investigating their area. To the best of our knowledge, there is no any proprietary software for automatic extraction and classification stage of macular lesions. The proposed algorithm offers suitable way for automatic extraction. The core of the algorithm is based on the classification individual pixels to output classes. Each class represents specific object in the image. After taking classification process, individual objects are separated. By this approach we obtain mathematical model of analyzed lesions. Furthermore, segmentation method uses color mapping of shade level images. It means that we obtain color intensity image instead of shade level data.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

IFMBE Proceedings. Volume 57

ISBN

978-3-319-32701-3

ISSN

1680-0737

e-ISSN

—

Počet stran výsledku

6

Strana od-do

239-244

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Pafos

Datum konání akce

31. 3. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000376283000048