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Determining hysteresis thresholds of Canny Edge Detector for Lines Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43910066" target="_blank" >RIV/62156489:43110/16:43910066 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.vedeckekonference.cz/library/proceedings/mmk_2016.pdf" target="_blank" >http://www.vedeckekonference.cz/library/proceedings/mmk_2016.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determining hysteresis thresholds of Canny Edge Detector for Lines Detection

  • Original language description

    The Canny edge detector is a very popular multi-stage algorithm for image edge detection and its output is frequently used as an input for the Hough transform algorithm for identification of lines. Its crucial step is the edge tracking by hysteresis, which selects the final edges by using two thresholds. The assessment of those two values in an unsupervised way is a difficult task, that is usually solved by application of statistical functions to the values of intensity of the input image converted to grayscale. This paper's objective is to experimentally prove, that it is more convenient not to use the input image, but instead the gradient image, which is the output of the Sobel gradient operator. The paper also revealed that with using the 2:1 ratio between the upper and lower threshold and the upper threshold to be set around 55 % of the maximum value of gradient image, the line detection reaches much better results.

  • 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

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Sborník příspěvků z mezinárodní vědecké konference MMK 2016: Mezinárodní Masarykova konference pro doktorandy a mladé vědecké pracovníky

  • ISBN

    978-80-87952-17-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1546-1550

  • Publisher name

    Magnanimitas

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Dec 12, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article