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  4. Wavelet based texture segmentation of multi-modal tomographic images
 
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1997
Journal Article
Title

Wavelet based texture segmentation of multi-modal tomographic images

Abstract
This paper presents a segmentation pipeline for computer-based automatic analysis of multimodal tomographic images. It is a computer based support for the localization of pathological tissues such as brain tumors. The segmentation pipeline of the presented approach includes texture analtsis, classification with a modified Kohonen Feature Map, a collection of classifiers and knowledge based morphological postprocessing. Furthermore this paper presents a statistical investigation that compares the wavelet transform to classical texture analysis methods. Patient data which was acquired using magnetic resonance imaging (MRI) and computer tomography (CT) is used for this investigation.
Author(s)
Busch, C.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Journal
Computers and Graphics  
DOI
10.1016/S0097-8493(97)00012-5
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • color-coded morphology

  • segmentation

  • texture analysis

  • tissue classification

  • wavelet transformation

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