Image Processing Based Automatic Identification of Freshness in Fish Gill Tissues

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU144173" target="_blank" >RIV/00216305:26220/18:PU144173 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8748778" target="_blank" >https://ieeexplore.ieee.org/document/8748778</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICACCCN.2018.8748778" target="_blank" >10.1109/ICACCCN.2018.8748778</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Image Processing Based Automatic Identification of Freshness in Fish Gill Tissues

Popis výsledku v původním jazyce

Fish is one of the healthiest foods on the earth. The quality of the fish gets changed by the process involved in preserving and handling from buyer to seller. The degradation in the fish can be detected on the most vulnerable focal tissue like gill. This focal tissue has been automatically segmented from whole fish using image processing based technique. The statistical features were extracted from the segmented gill tissues. This paper presents a nondestructive image processing based technique for extracting the properties of stored fish gill tissues using Wavelet Transform. The imperative selection of the methodology makes the algorithm computationally fast, efficient, and automatic. The strategic selection of the discriminatory features from the fish image makes this a novel approach which is accurate for the detection of freshness in the sample under test. Experimental results show discriminatory variation pattern of statistical wavelet feature versus freshness of the fish. This prominent monotonic dissimilarity in the parameters provides a strategic framework for the identification of freshness in stored fish gill tissues. The computation speed is fast which makes this method efficient for real time application.

Název v anglickém jazyce

Image Processing Based Automatic Identification of Freshness in Fish Gill Tissues

Popis výsledku anglicky

Fish is one of the healthiest foods on the earth. The quality of the fish gets changed by the process involved in preserving and handling from buyer to seller. The degradation in the fish can be detected on the most vulnerable focal tissue like gill. This focal tissue has been automatically segmented from whole fish using image processing based technique. The statistical features were extracted from the segmented gill tissues. This paper presents a nondestructive image processing based technique for extracting the properties of stored fish gill tissues using Wavelet Transform. The imperative selection of the methodology makes the algorithm computationally fast, efficient, and automatic. The strategic selection of the discriminatory features from the fish image makes this a novel approach which is accurate for the detection of freshness in the sample under test. Experimental results show discriminatory variation pattern of statistical wavelet feature versus freshness of the fish. This prominent monotonic dissimilarity in the parameters provides a strategic framework for the identification of freshness in stored fish gill tissues. The computation speed is fast which makes this method efficient for real time application.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings - IEEE 2018 International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018

ISBN

978-1-5386-4119-4

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1011-1015

Název nakladatele

IEEE

Místo vydání

Greater Noida, Indie

Místo konání akce

Greater Noida

Datum konání akce

12. 10. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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