具有取向结构的食品在自然界中普遍存在,而食品取向度对食品本身的质构特性和消费者的喜爱度有重大影响。为了定量表征食品取向度,本研究基于MATLAB GUI构建了一种食品取向度检测系统。借助已建立的激光传输成像装置,使用相机捕获样品上的激光散斑,运用MATLAB GUI进行食品取向度检测系统的编程设计,将激光散斑图像经过一系列的计算机视觉操作处理成椭圆拟合图,并计算样品取向度。然后以不同取向程度的面团为例对该系统进行了验证。实验结果表明,检测系统对激光散斑图像识别准确率为96.33%,实际运用效果良好。测得的不同面团取向度排序和显微结构图结果一致。此外,面团的取向度和面筋蛋白横纵长度比之间存在高强度的正相关关系(R=0.99,P＜0.05)。建立的食品取向度检测系统具有良好的准确性,能够有效应用于食品取向度的检测。
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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