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FOOD INSPECTION SYSTEM, FOOD INSPECTION PROGRAM, FOOD INSPECTION METHOD AND FOOD PRODUCTION METHOD

机译:食品检验系统,食品检验程序,食品检验方法和食品生产方法

摘要

[Problem] To provide a food inspection system, a food inspection program, a food inspection method and a food production method that realize accurate and prompt selection of food raw material, and contribute to the production of high-quality food and the control of costs. [Solution] This food inspection system is characterized by the execution of the following steps, with respect to an assessment image in which a food to be inspected is captured: a step for deriving a frequency distribution of the brightness of pixels included in the assessment image; a step for extracting, from the frequency distribution, brightness information of a pixel for which the brightness value is within a certain range, and generating brightness data that includes an element which has stored therein the brightness value in the brightness information of the pixel; a step for arranging the elements of the brightness data in ascending or descending order of the brightness values; and a step for inputting the brightness data as first input data to a neural network, and estimating an assessment mode of the food to be inspected, on the basis of a reaction value in the output layer of the neural network.
机译:[问题]提供一种食品检查系统,食品检查程序,食品检查方法和食品生产方法,以实现准确,及时地选择食品原料,并有助于生产优质食品和控制成本。 。 [解决方案]该食物检查系统的特征在于,对于捕获要检查的食物的评估图像,执行以下步骤:用于导出评估图像中包括的像素的亮度的频率分布的步骤。 ;从频率分布中提取亮度值在一定范围内的像素的亮度信息,并生成包括其中存储有该像素的亮度信息中的亮度值的元素的亮度数据的步骤;步骤,以亮度值的升序或降序排列亮度数据的元素;用于将亮度数据作为第一输入数据输入到神经网络,并基于神经网络的输出层中的反应值来估计被检查食品的评估模式的步骤。

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