Image Based Individual Identification of Sumatra Barb (Puntigrus Tetrazona)

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F19%3A43899244" target="_blank" >RIV/60076658:12520/19:43899244 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-17938-0_11" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-17938-0_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-17938-0_11" target="_blank" >10.1007/978-3-030-17938-0_11</a>

Result language
angličtina
Original language name
Image Based Individual Identification of Sumatra Barb (Puntigrus Tetrazona)
Original language description
The paper deal with the individual fish identification of the same species based on digital image of the fish. The proof of concept of image based individual identification is introduced on the small group fish. The method is completely noninvasive and can overcome the disadvantages of standard invasive identification such as tagging. The experiments proved the hypothesis that the visible patterns on Sumatra Barb (Puntigrus tetrazona) body can be used for individual identification. In the first step, the database of 43 fish (was created by the taking of the images of fish in different pose. Images were taken in an aquarium with a water. After data collection, data was processed by the image processing methods to determine the features. The simple nearest neighbor classification was used to test individual identification. The accuracy of classification was 100%. The method proved the hypothesis that the visible pattern on Sumatra Barb can be used for fully automated individual fish identification. It can be substituted current practice of fish identification based on tagging and marking. The long-term stability of the pattern and the classification power for large fish group should be studied in the future. © 2019, Springer Nature Switzerland AG.
Czech name
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Czech description
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Project
<a href="/en/project/LM2018099" target="_blank" >LM2018099: South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-030-17937-3
ISSN
0302-9743
e-ISSN
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Number of pages
4
Pages from-to
116-119
Publisher name
Springer Verlag
Place of publication
Granada, Spain
Event location
Granada, Spain
Event date
May 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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