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RELATIVE EVALUATION METHOD OF HARDNESS, TEXTURE, AND ATTRIBUTE OF FOOD BY PATTERN RECOGNITION

机译:模式识别法对食品硬度,质地和属性的相对评价方法

摘要

PROBLEM TO BE SOLVED: To exactly grasp difference in hardness, texture, and attribute of food in mastication.;SOLUTION: A sample specimen (A) of the food is pressed by a plunger, weight and distortion rate are continuously measured, a distortion rate-weight curve of a multidimensional approximation curve such as five or more dimensional approximation curve which considers an X axis as the distortion rate, and a Y axis as the weight by a least square method based on values of the weight and the distortion rate, and the maximum value (MaxA) in the multidimensional approximation curve is calculated. A distortion rate-weight curve of the multidimensional approximation curve of the same dimension is created for a test specimen (B) of the food, and the maximum value (MaxB) in the multidimensional approximation curve is calculated. After that, a corrected multidimensional approximation curve in which weight values on the multidimensional approximation curve is integrally corrected is created for each of the multidimensional approximation curves so that the weight values of the maximum value (MaxA) and the maximum value (MaxB) become the same value, a difference between the two created corrected multidimensional approximation curves is integrated, and a distinction in the hardness, texture and attribute between the sample specimen (A) of the food and the sample specimen (B) of the food is evaluated from the integrated value.;COPYRIGHT: (C)2012,JPO&INPIT
机译:解决的问题:要准确地掌握咀嚼食物的硬度,质地和属性的差异;解决方案:用柱塞按压食物的样品(A),连续测量重量和变形率,变形率多维近似曲线的权重曲线,例如基于权重和畸变率的值的最小二乘法,将X轴视为畸变率,将Y轴视为权重的五维或更高阶近似曲线,以及计算多维近似曲线中的最大值(MaxA)。对于食物的试样(B),创建相同尺寸的多维近似曲线的畸变率-权重曲线,并且计算多维近似曲线中的最大值(MaxB)。此后,为每个多维逼近曲线创建一个整体校正多维逼近曲线上的权重值的校正多维逼近曲线,以使最大值(MaxA)和最大值(MaxB)的权重值变为在相同的值下,将两条创建的校正后的多维近似曲线之间的差异进行积分,并根据以下公式评估食品样品(A)和食品样品(B)在硬度,质地和属性上的区别整合价值。;版权所有:(C)2012,日本特许厅&INPIT

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