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COLOR EVALUATION OF LEAN TISSUE AND FAT OF THE BEEF1

机译:牛肉组织和脂肪的颜色评估1

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摘要

This study was conducted to develop color evaluation of beef using machine vision system. Machine vision has an advantage to measure larger area than colorimeter and also can be measured another quality factors like distribution of fats. But machine vision measurement is affected by its system component. To measure the beef color with machine vision system, the effect of color balancing control was tested and calibration model of vision system was developed. Neural network for color calibration which learned reference color patches shows the high correlation with colorimeter in L*a*b* coordinates and has an adaptability at various measurement environment. But trained network shows very low correlation with colorimeter when measuring beef color.
机译:进行这项研究以使用机器视觉系统开发牛肉的颜色评估。机器视觉具有比色度计更大的面积来测量的优势,并且还可以测量其他质量因子,例如脂肪的分布。但是机器视觉测量受其系统组件的影响。为了用机器视觉系统测量牛肉的颜色,测试了色彩平衡控制的效果,并开发了视觉系统的校准模型。获悉参考色块的用于色彩校准的神经网络在L * a * b *坐标中显示与色度计的高度相关性,并在各种测量环境下具有适应性。但是训练有素的网络在测量牛肉颜色时与色度计的相关性非常低。

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