Detail publikace

Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods

MIKULKA, J. GESCHEIDTOVÁ, E. BARTUŠEK, K.

Originální název

Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The paper deals with modern methods of image processing, especially image segmentation, classification and evaluation of parameters. It is focused primarily on processing medical images of soft tissues obtained by magnetic resonance tomography (MR). It is easy to describe edges of the sought objects using of segmented images. The edges found can be useful for further processing of monitored object such as calculating the perimeter, surface and volume evaluation or even three-dimensional shape reconstruction. The proposed solutions can be used for the classification of healthy/unhealthy tissues in MR or other imaging. Application examples of the proposed segmentation methods are shown. Research in the area of image segmentation is focused on methods based on solving partial differential equations. This is a modern method for image processing, often called the active contour method. It is of great advantage in the segmentation of real images degraded by noise with fuzzy edges and transitions between objects. In the paper, results of the segmentation of medical images by the active contour method are compared with results of the segmentation by other existing methods. Experimental applications are given which demonstrate the very good properties of the active contour method.

Klíčová slova

Medical image processing, image segmentation, liver tumour, temporomandibular joint disc, level set, active contours, thresholding, watershed, edge detectors

Autoři

MIKULKA, J.; GESCHEIDTOVÁ, E.; BARTUŠEK, K.

Rok RIV

2012

Vydáno

31. 7. 2012

Nakladatel

De Gruyter Open

ISSN

1335-8871

Periodikum

Measurement Science Review

Ročník

12

Číslo

4

Stát

Slovenská republika

Strany od

153

Strany do

161

Strany počet

9

URL

https://www.degruyter.com/view/j/msr.2012.12.issue-4/v10048-012-0023-8/v10048-012-0023-8.xml

Plný text v Digitální knihovně

http://hdl.handle.net/11012/68378

BibTex

@article{BUT92915,
  author="Jan {Mikulka} and Eva {Gescheidtová} and Karel {Bartušek}",
  title="Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods",
  journal="Measurement Science Review",
  year="2012",
  volume="12",
  number="4",
  pages="153--161",
  doi="10.2478/v10048-012-0023-8",
  issn="1335-8871",
  url="https://www.degruyter.com/view/j/msr.2012.12.issue-4/v10048-012-0023-8/v10048-012-0023-8.xml"
}