1. Texture Quality Analysis of Rainbow Trout Using Hyperspectral Imaging Method.
- Author
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Khoshtaghaza, Mohammad Hadi, Khojastehnazhand, Mostafa, Mojaradi, Barat, Goodarzi, Mohammad, and Saeys, Wouter
- Subjects
FOOD texture ,QUALITY control ,RAINBOW trout ,HYPERSPECTRAL imaging systems ,STIFFNESS (Mechanics) - Abstract
In this study a hyperspectral imaging system (short wave infrared range from 1000 to 2500 nm) was used to model fish texture by experimental compression test. Partial least square–discriminate analysis modeling technique was used for classifying the samples by linking the hyperspectral information and their measured texture. TheR2of cross validation and prediction were 0.97 and 0.96, respectively. The root mean squared errors for cross validation and prediction were 0.07 and 0.09, respectively. Sensitivity and specificity for both class I and II were 1.00. Results indicated that hyperspectral imaging in short wave infrared range has ability to detect texture stiffness of rainbow trouts which is affected by freshness. [ABSTRACT FROM PUBLISHER]
- Published
- 2016
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