Image Based Individual Identification of Sumatra Barb (Puntigrus Tetrazona)

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Image Based Individual Identification of Sumatra Barb (Puntigrus Tetrazona)

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Image Based Individual Identification of Sumatra Barb (Puntigrus Tetrazona)

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

40103 - Fishery

Projekt

<a href="/cs/project/LM2018099" target="_blank" >LM2018099: Jihočeské výzkumné centrum akvakultury a biodiverzity hydrocenóz</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

—

Počet stran výsledku

4

Strana od-do

116-119

Název nakladatele

Springer Verlag

Místo vydání

Granada, Spain

Místo konání akce

Granada, Spain

Datum konání akce

8. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—