Segmentation of medical images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115437" target="_blank" >RIV/00216305:26220/15:PU115437 - 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

Segmentation of medical images

Popis výsledku v původním jazyce

Segmentation constitutes a significant component of image analysis. As such, the procedure yields an image defining the position and shape of the area of interest, namely the monitored tissue; the shape descriptors can then be utilized in the analysis oftissue properties [1] or further processed. The techniques subsumed within the wide family of segmentation methods are commonly classified according to their principles. In this context, we can first refer to thresholding methods, which are based on analyzing image intensities (simple thresholding; Mumford and Shah [2]). These procedures, although frequently used, nevertheless often fail to ensure proper segmentation of inhomogeneous areas. Another subgroup of techniques comprises methods that exploitedge analysis (edge detectors [3], active contours [4]). In most tissues, the segmentation process is hampered by incomplete edges of the analyzed object; such incompleteness is caused by, for example, bonds between the given tissue and o

Název v anglickém jazyce

Segmentation of medical images

Popis výsledku anglicky

Segmentation constitutes a significant component of image analysis. As such, the procedure yields an image defining the position and shape of the area of interest, namely the monitored tissue; the shape descriptors can then be utilized in the analysis oftissue properties [1] or further processed. The techniques subsumed within the wide family of segmentation methods are commonly classified according to their principles. In this context, we can first refer to thresholding methods, which are based on analyzing image intensities (simple thresholding; Mumford and Shah [2]). These procedures, although frequently used, nevertheless often fail to ensure proper segmentation of inhomogeneous areas. Another subgroup of techniques comprises methods that exploitedge analysis (edge detectors [3], active contours [4]). In most tissues, the segmentation process is hampered by incomplete edges of the analyzed object; such incompleteness is caused by, for example, bonds between the given tissue and o

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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