All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Soft-tissues Image Processing: Comparison of Traditional Segmentation Methods with 2D active Contour Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F12%3A00385188" target="_blank" >RIV/68081731:_____/12:00385188 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/12:PU99076

  • Result on the web

    <a href="http://dx.doi.org/10.2478/v10048-012-0023-8" target="_blank" >http://dx.doi.org/10.2478/v10048-012-0023-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/v10048-012-0023-8" target="_blank" >10.2478/v10048-012-0023-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Soft-tissues Image Processing: Comparison of Traditional Segmentation Methods with 2D active Contour Methods

  • Original language description

    The paper deals with modern methods of image processing, especially image segmentation, classification and evaluation of parameters. It focuses 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 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 focuses 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 betw

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Measurement Science Review

  • ISSN

    1335-8871

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    9

  • Pages from-to

    153-161

  • UT code for WoS article

    000307943000006

  • EID of the result in the Scopus database