Detail publikace

Pre-Processing Computer Tomography Images for Segmentation Based on Region Growing Methods

Tomáš Červinka, Ivo Provazník

Originální název

Pre-Processing Computer Tomography Images for Segmentation Based on Region Growing Methods

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper introduces an image pre-processing technique for the augmentation of segmentation of medical images. The proposed pre-processing method down-samples an image histogram for spreading important features to same intensity in CT image. However, some information is lost in this process. Therefore Bayes approach was applied to improve resulted inaccuracies. The method brings significant advantages for the image analysis: 1. the regions of interests are subjectively more visible, 2. the resulted image is represented by less gray scales which makes the following segmentation easier.

Klíčová slova

segmentation, medical image, computed tomography

Autoři

Tomáš Červinka, Ivo Provazník

Rok RIV

2005

Vydáno

1. 11. 2005

Nakladatel

IFBME

Místo

Praha

ISBN

0-0000-00

Kniha

Proceedings of 3rd International Conference EMBEC 2005

Strany od

1

Strany do

4

Strany počet

4

BibTex

@inproceedings{BUT14904,
  author="Tomáš {Červinka} and Valentine {Provazník}",
  title="Pre-Processing Computer Tomography Images for Segmentation Based on Region Growing Methods",
  booktitle="Proceedings of 3rd International Conference EMBEC 2005",
  year="2005",
  pages="4",
  publisher="IFBME",
  address="Praha",
  isbn="0-0000-00"
}