Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss)

Computer Vision (CV) is a relatively young discipline which has been widely used to automate quality evaluation. CV inspection of fish and fish products can provide efficient, consistent and cost effective alternative, so efforts focused on speed and accuracy of machine vision as a substitute for human inspection of foods. Machine vision is explained as the construction of explicit informative and meaningful descriptions of a physical object via image analysis. Actually it encloses the capturing, processing and analysis of two-dimensional images, and by modeling human vision electronically perceives and understands images. ... This study tries to evaluate the relationship between weight of fish and visual features derived from image processing and present best fit relationship between weight and visual features.

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Bibliographic Details
Main Authors: Gerami, M.H., Safiyari, H., Jafari, A., Mousavi-Nasab, M.
Format: article biblioteca
Language:English
Published: 2016
Subjects:Engineering, Fisheries, Image Processing, Fish Weight, MATLAB, Iran,
Online Access:http://hdl.handle.net/1834/37639
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spelling dig-aquadocs-1834-376392021-07-11T05:15:47Z Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss) Gerami, M.H. Safiyari, H. Jafari, A. Mousavi-Nasab, M. Engineering Fisheries Image Processing Fish Weight MATLAB Iran Computer Vision (CV) is a relatively young discipline which has been widely used to automate quality evaluation. CV inspection of fish and fish products can provide efficient, consistent and cost effective alternative, so efforts focused on speed and accuracy of machine vision as a substitute for human inspection of foods. Machine vision is explained as the construction of explicit informative and meaningful descriptions of a physical object via image analysis. Actually it encloses the capturing, processing and analysis of two-dimensional images, and by modeling human vision electronically perceives and understands images. ... This study tries to evaluate the relationship between weight of fish and visual features derived from image processing and present best fit relationship between weight and visual features. 2021-06-24T18:06:55Z 2021-06-24T18:06:55Z 2016 article TRUE 1562-2916 http://hdl.handle.net/1834/37639 en http://www.ifro.ir application/pdf application/pdf 575-584 http://aquaticcommons.org/id/eprint/22892 18721 2018-05-31 22:32:01 22892 Iranian Fisheries Science Research Institute
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Engineering
Fisheries
Image Processing
Fish Weight
MATLAB
Iran
Engineering
Fisheries
Image Processing
Fish Weight
MATLAB
Iran
spellingShingle Engineering
Fisheries
Image Processing
Fish Weight
MATLAB
Iran
Engineering
Fisheries
Image Processing
Fish Weight
MATLAB
Iran
Gerami, M.H.
Safiyari, H.
Jafari, A.
Mousavi-Nasab, M.
Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss)
description Computer Vision (CV) is a relatively young discipline which has been widely used to automate quality evaluation. CV inspection of fish and fish products can provide efficient, consistent and cost effective alternative, so efforts focused on speed and accuracy of machine vision as a substitute for human inspection of foods. Machine vision is explained as the construction of explicit informative and meaningful descriptions of a physical object via image analysis. Actually it encloses the capturing, processing and analysis of two-dimensional images, and by modeling human vision electronically perceives and understands images. ... This study tries to evaluate the relationship between weight of fish and visual features derived from image processing and present best fit relationship between weight and visual features.
format article
topic_facet Engineering
Fisheries
Image Processing
Fish Weight
MATLAB
Iran
author Gerami, M.H.
Safiyari, H.
Jafari, A.
Mousavi-Nasab, M.
author_facet Gerami, M.H.
Safiyari, H.
Jafari, A.
Mousavi-Nasab, M.
author_sort Gerami, M.H.
title Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss)
title_short Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss)
title_full Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss)
title_fullStr Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss)
title_full_unstemmed Short communication: Application of machine-vision to assess weight of fish (Case study: Oncorhynchus mykiss)
title_sort short communication: application of machine-vision to assess weight of fish (case study: oncorhynchus mykiss)
publishDate 2016
url http://hdl.handle.net/1834/37639
work_keys_str_mv AT geramimh shortcommunicationapplicationofmachinevisiontoassessweightoffishcasestudyoncorhynchusmykiss
AT safiyarih shortcommunicationapplicationofmachinevisiontoassessweightoffishcasestudyoncorhynchusmykiss
AT jafaria shortcommunicationapplicationofmachinevisiontoassessweightoffishcasestudyoncorhynchusmykiss
AT mousavinasabm shortcommunicationapplicationofmachinevisiontoassessweightoffishcasestudyoncorhynchusmykiss
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