Application of Image Analysis Combined with Computational Expert Approaches for Shrimp Freshness Evaluation
| Autor: | Seyed Saeid Mohtasebi, Sahameh Shafiee, Michele Forina, Mojtaba Naderi-Boldaji, Mahdi Ghasemi-Varnamkhasti, Reza Goli |
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| Rok vydání: | 2016 |
| Předmět: |
Lightness
Image (category theory) 010401 analytical chemistry Luma Image processing 04 agricultural and veterinary sciences Linear discriminant analysis 040401 food science 01 natural sciences 0104 chemical sciences Shrimp 0404 agricultural biotechnology Discriminant Statistics Food Science Mathematics Hue |
| Zdroj: | International Journal of Food Properties. 19:2202-2222 |
| ISSN: | 1532-2386 1094-2912 |
| DOI: | 10.1080/10942912.2015.1118386 |
| Popis: | This study was aimed to evaluate the freshness and quality of cultured shrimp (litopenaeus vannamei) during 9 days of storage on ice (i.e., at a temperature of 0°C) using image processing technique. A lighting chamber was used to provide uniform conditions for illumination. The shrimp freshness was evaluated using computer vision technique through color changes of head, legs and tail of the harvested shrimps. Thirty-six color parameters of the images such as mean and variance of red (r), green (g), blue (b), lightness hue (h), saturation (s), value (v), luma information (i and y), the luma component (y), chroma component (cr), lightness (L*), redness (a*), yellowness (b*), chroma (c), and hue (h) were analyzed. Some parameters, such as b*, from side pictures and r mean, b variance, v mean, y mean, b* mean and (L*) mean from top pictures changed with a rather similar trend during the storage period. Different computational expert approaches such as linear discriminant analysis, quadratic discriminant analy... |
| Databáze: | OpenAIRE |
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