关键词: 食品机械, 计算机视觉, 大肠杆菌快速检测, 人工神经网络, 颜色特征识别

Abstract:

The speciality that the Escherichia coli can ferment lactose to produce acid which can produce depositions and make the indicator's color changed was utilized, an automatic detection system for enumeration of Escherichia coli in food based on color feature recognition technology was designed and the color change degree after incubating for 16 h was used to judge the Escherichia coli counts in the detection samples. The system can automatically extract the H、I、S color vector to act as the input vector and transfer the trained BP neural network to get the Escherichia coli counts. The experiments indicate that comparisons of counts of Escherichia coli by the rapid automatic detection system and by the traditional method closed correlated. Moreover, by using this rapid detection system, the Escherichia coli in food accurately enumerate within 18 h, which is much shorter than the 6 days detection time by the traditional method, which will greatly improve the products sale quality.

Key words: food machinery, machine vision, escherichia coli rapid detection, artificial neural network, color feature recognition