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Segmentace 3D obrazových dat s využitím pokročilých texturních a tvarových příznaků / Segmentation of 3D image data using advanced textural and shape features

This thesis first describes theory of range of methods of textural and shape analysis. In several published articles some of the mentioned methods are used for automatic detection of lesion in spine in CT images. Some of these articles are shortly presented (in this thesis). Next part of the thesis includes description of various classifiers which are used for classification of feature vectors. Practical part of the thesis is a design and implementation of image data segmentation solution (metastatic lesions in vertebrae) with use of classification of feature vectors formed by texture and shape symptoms. The thesis also deals with the selection of significant features for segmentation. Segmentation algorithm is tested on medical data.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:221144
Date January 2014
CreatorsNovosadová, Michaela
ContributorsPhD, Miloš Malínský,, Jan, Jiří
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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