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Image Segmentation for Object Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F11%3A43892388" target="_blank" >RIV/60461373:22340/11:43892388 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Image Segmentation for Object Detection

  • Original language description

    The main goal of the article is to propose methods improving image segmentation in the case of overlapping objects. Prior to applying different segmentation methods, it is necessary to perform specific pre-processing methods preceding application of further segmentation methods, such as de-noising and adjusting of intensity. The three methods of segmentation that are used in this article include the Watershed Distance Transform, Gradients in Watershed Transform and Region Growing Method.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Technical Computing Prague 2011, 19th Annual Conference Proceedings

  • ISBN

    978-80-7080-794-1

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    "129/1"-"129/12"

  • Publisher name

    Humusoft

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Nov 8, 2011

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article