Fuzzy algorithm for segmentation of images in extraction of objects from MRI

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86096617" target="_blank" >RIV/61989100:27240/14:86096617 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6968264&tag=1" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6968264&tag=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICACCI.2014.6968264" target="_blank" >10.1109/ICACCI.2014.6968264</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy algorithm for segmentation of images in extraction of objects from MRI

Popis výsledku v původním jazyce

The paper discusses a suitable segmentation method for extraction of specific objects from Magnetic Resonance Imaging (MRI). A particular attention is paid to detection and extraction of articular tissues from knee images. This is a pressing issue for physicians because MRI reveals often damage to articular cartilage which is shown by a minor change in a brightness scale. The image segmentation can provide a detailed colour map which shows distribution of the tissue densities. This algorithm is based ondetection of local extremes in histogram and uses a membership function in order to allocate each image density into an output set. Each such set is given a colour from a predefined colour spectrum. This procedure can easily differentiate between the tissue structures based on the tissue densities.

Název v anglickém jazyce

Fuzzy algorithm for segmentation of images in extraction of objects from MRI

Popis výsledku anglicky

The paper discusses a suitable segmentation method for extraction of specific objects from Magnetic Resonance Imaging (MRI). A particular attention is paid to detection and extraction of articular tissues from knee images. This is a pressing issue for physicians because MRI reveals often damage to articular cartilage which is shown by a minor change in a brightness scale. The image segmentation can provide a detailed colour map which shows distribution of the tissue densities. This algorithm is based ondetection of local extremes in histogram and uses a membership function in order to allocate each image density into an output set. Each such set is given a colour from a predefined colour spectrum. This procedure can easily differentiate between the tissue structures based on the tissue densities.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

2014 International conference on advances in computing, communications and informatics (ICACCI)

ISBN

978-1-4799-3080-7

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1422-1427

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

New Delhi

Datum konání akce

24. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000358999700234