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An automatic initialization of interactive segmentation methods using shortest path basins

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929877" target="_blank" >RIV/49777513:23520/16:43929877 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/article/10.1134/S1054661816020188" target="_blank" >http://link.springer.com/article/10.1134/S1054661816020188</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1134/S1054661816020188" target="_blank" >10.1134/S1054661816020188</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An automatic initialization of interactive segmentation methods using shortest path basins

  • Original language description

    Image segmentation is one of many fundamental problems in computer vision. The need to divide an image to a number of classes is often a part of a system that uses image processing methods. Therefore, lots of methods were developed that are based on different approaches. The image segmentation could be classified with respect to many criteria. One such a criterion is based on the degree of allowed interactivity. The interactivity could be of several types-interactive initialization, interaction while the computation is running or manual refinement of achieved results, for example. Especially the precise initialization plays an important role in many methods. Therefore the possibility to initialize the method manually is often invaluable advantage and information obtained this way could be the difference between good and poor results. Unfortunately, in many cases it is not possible to initialize a method manually and the process needs to be automated. In this paper, an approach for such an automation is presented. It is based on shortest paths in a graph and deriving an area of influence for each obtained seed point. This method is called shortest path basins.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

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

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Pattern Recognition and Image Analysis

  • ISSN

    1054-6618

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    RU - RUSSIAN FEDERATION

  • Number of pages

    7

  • Pages from-to

    336-342

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84975833222