Edge Detection Competition - Algorithms Based on Image Represented by a Fuzzy Function
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901N2B" target="_blank" >RIV/61988987:17610/18:A1901N2B - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-66824-6_23" target="_blank" >http://dx.doi.org/10.1007/978-3-319-66824-6_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-66824-6_23" target="_blank" >10.1007/978-3-319-66824-6_23</a>
Alternative languages
Result language
angličtina
Original language name
Edge Detection Competition - Algorithms Based on Image Represented by a Fuzzy Function
Original language description
The contribution serves as a supporting report for outputs posted for EUSFLAT Competition on Edge Detection 2017. We present three different types of methods used for edge detection in an image. The methods differ in their interpretation of the term edge. The first one considers edges as thresholded gradient magnitudes. The second one reduces edges thickness in order to obtain 1px thin edges. The last one focuses on obtaining 1 pixel thin and continuous edges. The contribution describes the three methods, demonstrates their visual outputs and points their advantages and disadvantages.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017
ISBN
978-331966823-9
ISSN
2194-5357
e-ISSN
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Number of pages
6
Pages from-to
260-265
Publisher name
Springer Verlag
Place of publication
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Event location
Warsaw
Event date
Sep 11, 2017
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000432807900023