Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement.
The colour of seafood flesh is often not homogenous, hence measurement of colour requires repeat measurements to obtain a representative average. The aim of this study was to determine the optimal number of repeat colour measurements required for three different devices [machine vision (digital imag...
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Online Access: | https://doi.org/10.3390/foods13071110 https://pubmed.ncbi.nlm.nih.gov/38611414 |
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ftpubmed:38611414 2024-05-12T08:01:22+00:00 Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement. Watkins, Kieren Hastie, Melindee Ha, Minh Hepworth, Graham Warner, Robyn 2024 Apr 04 https://doi.org/10.3390/foods13071110 https://pubmed.ncbi.nlm.nih.gov/38611414 eng eng MDPI https://doi.org/10.3390/foods13071110 https://pubmed.ncbi.nlm.nih.gov/38611414 Foods ISSN:2304-8158 Volume:13 Issue:7 Delta E Minolta Nix fish prawns rockling salmon standard error of the mean technical replicate Journal Article 2024 ftpubmed https://doi.org/10.3390/foods13071110 2024-04-13T16:02:00Z The colour of seafood flesh is often not homogenous, hence measurement of colour requires repeat measurements to obtain a representative average. The aim of this study was to determine the optimal number of repeat colour measurements required for three different devices [machine vision (digital image using camera, and computer processing); Nix Pro; Minolta CR400 colorimeter] when measuring three species of seafood (Atlantic salmon, Salmo salar, n = 8; rockling, Genypterus tigerinus, n = 8; banana prawns, Penaeus merguiensis, n = 105) for raw and cooked samples. Two methods of analysis for number of repeat measurements required were compared. Method 1 was based on minimising the standard error of the mean and Method 2 was based on minimising the difference in colour over repeat measurements. Across species, using Method 1, machine vision required an average of four repeat measurements, whereas Nix Pro and Minolta required 13 and 12, respectively. For Method 2, machine vision required an average of one repeat measurement compared to nine for Nix Pro and Minolta. Machine vision required fewer repeat measurements due to its lower residual variance: 0.51 compared to 3.2 and 2.5 for Nix Pro and Minolta, respectively. In conclusion, machine vision requires fewer repeat measurements than colorimeters to precisely measure the colour of salmon, prawns, and rockling. Article in Journal/Newspaper Atlantic salmon Salmo salar PubMed Central (PMC) Foods 13 7 1110 |
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Open Polar |
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PubMed Central (PMC) |
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language |
English |
topic |
Delta E Minolta Nix fish prawns rockling salmon standard error of the mean technical replicate |
spellingShingle |
Delta E Minolta Nix fish prawns rockling salmon standard error of the mean technical replicate Watkins, Kieren Hastie, Melindee Ha, Minh Hepworth, Graham Warner, Robyn Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement. |
topic_facet |
Delta E Minolta Nix fish prawns rockling salmon standard error of the mean technical replicate |
description |
The colour of seafood flesh is often not homogenous, hence measurement of colour requires repeat measurements to obtain a representative average. The aim of this study was to determine the optimal number of repeat colour measurements required for three different devices [machine vision (digital image using camera, and computer processing); Nix Pro; Minolta CR400 colorimeter] when measuring three species of seafood (Atlantic salmon, Salmo salar, n = 8; rockling, Genypterus tigerinus, n = 8; banana prawns, Penaeus merguiensis, n = 105) for raw and cooked samples. Two methods of analysis for number of repeat measurements required were compared. Method 1 was based on minimising the standard error of the mean and Method 2 was based on minimising the difference in colour over repeat measurements. Across species, using Method 1, machine vision required an average of four repeat measurements, whereas Nix Pro and Minolta required 13 and 12, respectively. For Method 2, machine vision required an average of one repeat measurement compared to nine for Nix Pro and Minolta. Machine vision required fewer repeat measurements due to its lower residual variance: 0.51 compared to 3.2 and 2.5 for Nix Pro and Minolta, respectively. In conclusion, machine vision requires fewer repeat measurements than colorimeters to precisely measure the colour of salmon, prawns, and rockling. |
format |
Article in Journal/Newspaper |
author |
Watkins, Kieren Hastie, Melindee Ha, Minh Hepworth, Graham Warner, Robyn |
author_facet |
Watkins, Kieren Hastie, Melindee Ha, Minh Hepworth, Graham Warner, Robyn |
author_sort |
Watkins, Kieren |
title |
Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement. |
title_short |
Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement. |
title_full |
Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement. |
title_fullStr |
Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement. |
title_full_unstemmed |
Machine Vision Requires Fewer Repeat Measurements than Colorimeters for Precise Seafood Colour Measurement. |
title_sort |
machine vision requires fewer repeat measurements than colorimeters for precise seafood colour measurement. |
publisher |
MDPI |
publishDate |
2024 |
url |
https://doi.org/10.3390/foods13071110 https://pubmed.ncbi.nlm.nih.gov/38611414 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Foods ISSN:2304-8158 Volume:13 Issue:7 |
op_relation |
https://doi.org/10.3390/foods13071110 https://pubmed.ncbi.nlm.nih.gov/38611414 |
op_doi |
https://doi.org/10.3390/foods13071110 |
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Foods |
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13 |
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7 |
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1110 |
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1798843491158065152 |