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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
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e-ISSN
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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
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