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Abstract
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| The aim of this work was to compare an image algorithm to detect changes in quality related with changes in leaf pigments content in leafy spinach during storage with a visual evaluation using a 1-4 scale, where 1 corresponds to fresh samples without any spoilage and 4 to samples with severe deterioration, in order to obtain a sensory evaluation index (ISE) for each sample. The experiment was carried out on packed ready-to-use spinach stored at 4.5°C or 10ºC. Seventy-five leaves of spinach were analyzed at zero time and after 7, 14 and 21 days of storage at 4.5º C. Twenty-four e samples were measured at zero time and after 3, 6 and 9 days of storage at 10º C. Multispectral images were acquired in the red (R, 680±20 nm), infrared (IR, 800±20 nm) and blue (B, 450±20 nm) regions. Virtual images were calculated on the basis of spectral indexes usually employed for estimation of leaf pigment content. By considering the sensitive bands to chlorophyll, new virtual images were proposed. A non-supervised classification was applied to the obtained virtual images and the results were evaluated according to colorimetric measurements (CIE L*a*b* coordinates) and visual evaluation. Virtual images computed from R and B ranges gave the better results detecting changes in quality along period storage at 4.5º C. These virtual images were able to classify samples into two reference classes, including respectively the major part of the samples analyzed on zero time and on the 7th day and samples analyzed on the 14th and the 21th days. | |
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International
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Si |
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Congress
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2011 CIGR SECTION VI INTERNATIONAL SYMPOSIUM |
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960 |
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Place
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NANTES (FRANCIA) |
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Reviewers
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Si |
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ISBN/ISSN
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9788439723394 |
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Start Date
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18/04/2011 |
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End Date
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20/04/2011 |
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From page
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123 |
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To page
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123 |
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2011 CIGR SECTION VI INTERNATIONAL SYMPOSIUM |