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Ultrasonic image analysis for beef tenderness

机译:超声图像分析牛肉的嫩度

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Abstract: ve measurement of meat tenderness has been a topic of concern for palatability evaluation. In this study, a real-time ultrasonic B-mode imaging method was used for measuring beef palatability attributes such as juiciness, muscle fiber tenderness, connective tissue amount, overall tenderness, flavor intensity, and percent total collagen noninvasively. A temporal averaging image enhancement method was used for image analysis. Ultrasonic image intensity, fractal dimension, attenuation, and statistical gray-tone spatial-dependence matrix image texture measurement were analyzed. The contrast of the textural feature was the most correlated parameter with palatability attributes. The longitudinal scanning method was better for juiciness, muscle fiber tenderness, flavor intensity, and percent soluble collagen, whereas, the cross-sectional method was better for connective tissue, overall tenderness. The multivariate linear regression models were developed as a function of textural features and image intensity parameters. The determinant coefficients of regression models were for juiciness (R$+2$/ $EQ .97), for percent total collagen (R$+2$/ $EQ .88), for flavor intensity (R$+2$/ $EQ .75), for muscle fiber tenderness (R$+2$/ $EQ .55), and for overall tenderness (R$+2$/ $EQ .49), respectively. !17
机译:摘要:肉嫩度的ve测量一直是可口性评估的关注主题。在这项研究中,实时超声B型成像方法用于测量牛肉的适口性属性,例如多汁,肌肉纤维压痛,结缔组织量,总体压痛,风味强度和无创胶原蛋白百分比。使用时间平均图像增强方法进行图像分析。分析了超声图像强度,分形维数,衰减和统计灰阶空间相关矩阵图像纹理测量。纹理特征的对比度是与适口性属性最相关的参数。纵向扫描法在多汁,肌肉纤维压痛,风味强度和可溶性胶原蛋白百分数方面更好,而横截面法在结缔组织,整体压痛方面更好。多元线性回归模型是根据纹理特征和图像强度参数开发的。回归模型的决定性系数为多汁性(R $ + 2 $ / $ EQ .97),总胶原蛋白百分率(R $ + 2 $ / $ EQ .88),风味强度(R $ + 2 $ / $ EQ .88) EQ .75),肌肉纤维压痛(R $ + 2 $ / $ EQ .55)和整体压痛(R $ + 2 $ / $ EQ .49)。 !17

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