鸡蛋新鲜度神经网络检测系统的研究

Research on Detection System of Egg Fresh Degree Based on Neural Network

鸡蛋内部颜色信息(H、I、S)的变化表征蛋的新鲜度等内部品质的变化。用计算机视觉装置获取鸡蛋颜色参数(H、I、S),通过试验获得鸡蛋的新鲜度大小(哈夫值),用它们作为样本数据建立BP神经网络模型,获取鸡蛋新鲜度与其图像颜色参数之间的最优关系,达到自动检测鸡蛋新鲜度。经检验,系统正确识别率为90.8%。

The egg color parameter （H, I,S） is obtained with the computer vision device, the egg fresh degree（Haugh） can be gotten through the test. By using them as sample data to set up BP neural network, the most superior relation may be obtained. Through examination, the correct discerning rate to detect egg fresh degree with network is 90. 8%.