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农业机械学报 2009

基于计算机视觉和神经网络的牛肉颜色自动分

, PP. 173-178

陈坤杰,孙鑫,陆秋琰

Keywords: 牛肉,颜色,分级,神经网络,计算机视觉

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Abstract:

将采集的牛胴体眼肌切面图像人工确定其颜色等级，然后通过计算机图像处理方法，分割出肌肉区域并提取出其在RGB和HIS颜色空间的颜色特征参数。设计一个以牛肉的颜色特征参数为输入、牛肉的颜色等级为输出的BP神经网络模型，通过训练，确定模型的结构参数，用测试样本对该模型进行验证。结果显示，用该模型进行牛肉颜色等级预测的正确率可达95%，耗时仅0.25s。表明利用所设计的模型可以对牛肉的颜色等级进行快速、准确的自动判定。

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