Publication detail

Pre-Processing Medical Images for Improving Segmentation Techniques

ČERVINKA, T. PROVAZNÍK, I.

Original Title

Pre-Processing Medical Images for Improving Segmentation Techniques

Type

conference paper

Language

English

Original Abstract

This paper introduces an image preprocessing technique for the augmentation of segmentation of medical images. Segmentation and classification are important procedures in medical image analysis especially for radiological evaluation or computer-aided diagnosis. Segmentation is a pixel classification technique that allows the formation of regions of similarities in the image. Image segmentation methods can be broadly classified into three categories: boundary-based techniques, region-based techniques, and pixel-based direct classification methods. In practice, region-based methods are mostly used. They are typically very fast and easy to manipulate. To improve performance of region-based methods and their results, pre-processing techniques are usually required.

Keywords

segmentation, medical image, computed tomography, Bayes approach, wavelet transform

Authors

ČERVINKA, T.; PROVAZNÍK, I.

RIV year

2006

Released

1. 1. 2006

Publisher

Vutium Press

Location

Brno

ISBN

80-214-2633-0

Book

Analysis of Biomedical Signals and Images

Edition number

1

ISBN

1211-412X

Periodical

Analysis of Biomedical Signals and Images

Year of study

18

State

Czech Republic

Pages from

312

Pages to

314

Pages count

3

BibTex

@inproceedings{BUT16649,
  author="Tomáš {Červinka} and Valentine {Provazník}",
  title="Pre-Processing Medical Images for Improving Segmentation Techniques",
  booktitle="Analysis of Biomedical Signals and Images",
  year="2006",
  journal="Analysis of Biomedical Signals and Images",
  volume="18",
  number="1",
  pages="3",
  publisher="Vutium Press",
  address="Brno",
  isbn="80-214-2633-0",
  issn="1211-412X"
}