Publication detail

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

Tomáš Červinka, Ivo Provazník

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

segmentation, medical image, computed tomography

Authors

Tomáš Červinka, Ivo Provazník

RIV year

2005

Released

1. 11. 2005

Publisher

IFBME

Location

Praha

ISBN

0-0000-00

Book

Proceedings of 3rd International Conference EMBEC 2005

Pages from

1

Pages to

4

Pages count

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"
}