Detail publikace

Pre-Processing Medical Images for Improving Segmentation Techniques

ČERVINKA, T. PROVAZNÍK, I.

Originální název

Pre-Processing Medical Images for Improving Segmentation Techniques

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

ČERVINKA, T.; PROVAZNÍK, I.

Rok RIV

2006

Vydáno

1. 1. 2006

Nakladatel

Vutium Press

Místo

Brno

ISBN

80-214-2633-0

Kniha

Analysis of Biomedical Signals and Images

Číslo edice

1

ISSN

1211-412X

Periodikum

Analysis of Biomedical Signals and Images

Ročník

18

Stát

Česká republika

Strany od

312

Strany do

314

Strany počet

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"
}