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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Format: | article biblioteca |
Language: | English |
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2016
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Subjects: | Engineering, Fisheries, Image Processing, Fish Weight, MATLAB, Iran, |
Online Access: | http://hdl.handle.net/1834/37639 |
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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 |
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Engineering Fisheries Image Processing Fish Weight MATLAB Iran Engineering Fisheries Image Processing Fish Weight MATLAB Iran |
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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) |
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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 |
_version_ |
1756079651761946624 |