Texture Quality Analysis of Rainbow Trout Using Hyperspectral Imaging Method, By Mostafa Khojastehnazhand

Research

Title	Texture Quality Analysis of Rainbow Trout Using Hyperspectral Imaging Method
Type	Article
Keywords	Hyperspectral Imaging, Short Wave Infrared, Texture, Compression Test, Rainbow trout
Researchers	Mohammad Hadi Khoshtaghaza، Mostafa Khojastehnazhand، Barat Mojaradi، Mohammad Goodarzi، Wouter Saeys

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 SquareDiscriminate Analysis modeling technique was used for classifying the samples by linking the hyperspectral information and their measured texture. The R2 of 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 SWIR range has ability to detect texture stiffness of rainbow trouts which is affected by freshness.