Foods with oriented structures are frequently found in nature, and the degree of food orientation can exert a striking influence on the textural properties of the food and consumer preferences.This study developed a food orientation detection system by adopting MATLAB GUI to quantitatively characterise food orientation,.Afterwards, an established laser transmission imaging device was employed to capture the laser scattering on the sample, and the MATLAB GUI was subsequently utilized to program the food orientation detection system.The laser scattering image was processed into an ellipse fitting map through a battery of computer vision operations, and the sample orientation was calculated systematically and comprehensively.The system was validated by employing dough with diverse degrees of orientation as an instance.As conspicuously demonstrated by our experimental findings, the accuracy that detection system recognizes laser scattering images is as high as 96.33%, which is suitable for practical use.The ordering of different dough orientation degrees coincided with the microstructure map results.Aside from that, there was a strong positive correlation between dough orientation and gluten protein transverse to longitudinal length ratio (R=0.99, P<0.05).The already-established food orientation detection system not only exhibitss desirable accuracy, but also can be effectively applied to the accurate detection of food orientation.
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