An efficient image processing based method for gills segmentation from a digital fish image
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU121080" target="_blank" >RIV/00216305:26220/16:PU121080 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/abstract/document/7566776/" target="_blank" >http://ieeexplore.ieee.org/abstract/document/7566776/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SPIN.2016.7566776" target="_blank" >10.1109/SPIN.2016.7566776</a>
Alternative languages
Result language
angličtina
Original language name
An efficient image processing based method for gills segmentation from a digital fish image
Original language description
The quality and freshness of a fish sample is mainly affected due to the handling and storage conditions during the post harvesting period. The retention time and storage medium are the two main factors affecting the fish quality. This paper presents an image processing based method for automatic and efficient segmentation of gills from the fish sample image which can be used for fish freshness validation and determination of any pesticide from the fish sample under test. The implemented algorithm has produced a maximum correlation of 92.4% with the ground truth results obtained from experts. The method used for gills segmentation is fast and simple.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Research and development of technology for machine emotion detection in unstructured data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Signal Processing and Integrated Networks (SPIN), 2016 3rd International Conference on
ISBN
978-1-4673-9197-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
606-612
Publisher name
Neuveden
Place of publication
New Delhi, Republic of India
Event location
Dept. of ECE, ASET, Amity University, Noida Sec-
Event date
Feb 2, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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