Vector Image Segmentation Tools

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APR24523" target="_blank" >RIV/00216305:26230/09:PR24523 - 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

Vector Image Segmentation Tools

Popis výsledku v původním jazyce

Vector Image Segmentation Tools is a collection of C++ library, binary modules, and shell scripts for vector segmentation of 2D images, as well as volumetric medical data. A principle task of the segmentation is image partitioning into a set of non-overlapping regions. This package provides segmentation technique based on 2D/3D Delaunay triangulation. Triangular/tetrahedral mesh is used to partition image data into elements, while the mesh construction process respects significant image edges. Therefore, surfaces of image regions are well described and can be easily derived. To provide high quality meshes, methods like isotropic meshing and variational tetrahedral meshing can be found in the package. Finally, every element of the mesh (e.g. tetrahedron) is characterized by its feature vector detailing underlying image data. The library provides several clustering methods to classify these feature vectors into groups, image segments. Some traditional methods like region growing and merg

Název v anglickém jazyce

Vector Image Segmentation Tools

Popis výsledku anglicky

Vector Image Segmentation Tools is a collection of C++ library, binary modules, and shell scripts for vector segmentation of 2D images, as well as volumetric medical data. A principle task of the segmentation is image partitioning into a set of non-overlapping regions. This package provides segmentation technique based on 2D/3D Delaunay triangulation. Triangular/tetrahedral mesh is used to partition image data into elements, while the mesh construction process respects significant image edges. Therefore, surfaces of image regions are well described and can be easily derived. To provide high quality meshes, methods like isotropic meshing and variational tetrahedral meshing can be found in the package. Finally, every element of the mesh (e.g. tetrahedron) is characterized by its feature vector detailing underlying image data. The library provides several clustering methods to classify these feature vectors into groups, image segments. Some traditional methods like region growing and merg

Druh

R - Software

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

MDSTk_Ext_VectorSeg

Technické parametry

Knihovna, binární moduly a skripty pro vektorovou segmentaci obrazových/volumetrických dat s využitím 2D/3D Delunay triangulace.Balík je distribuován jako rozšíření pro MDSTk toolkit (viz. http://sourceforge.net/projects/mdstk/files/MDST

Ekonomické parametry

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IČO vlastníka výsledku

00216305

Název vlastníka

Vysoké učení technické v Brně