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Modified fuzzy C-means as a stereo segmentation method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092190" target="_blank" >RIV/61989100:27240/14:86092190 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=t4OVGI0Us8E=&t=1" target="_blank" >http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=t4OVGI0Us8E=&t=1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0004793000400047" target="_blank" >10.5220/0004793000400047</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modified fuzzy C-means as a stereo segmentation method

  • Original language description

    This paper presents an extension to the popular fuzzy c-means clustering method by introducing an additional disparity cue. The creation of the clusters is driven by a degree of the stereo match and thus is able to separate the objects based on their different colour and spatial depth. In contrast to the other popular approaches, the clustering is not performed on the individual input images, but on the stereo pair, and takes into account the matching properties. The algorithm is capable of producing the segmentations, as well as the disparity maps. The results of this algorithm show that the proposed method can improve the segmentation, under the condition of having the stereo image pair of the segmented scene.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods

  • ISBN

    978-989-758-018-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    40-47

  • Publisher name

    SciTePress - Science and Technology Publications

  • Place of publication

    [Portugalsko]

  • Event location

    Angers

  • Event date

    Mar 6, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article