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Research of Image processing in Instant Noodle Packets Auto-Inspection System

机译:方便面划分自动检测系统的图像处理研究

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It is good idea that machine vision is introduced to inspect the seasoning packets of instant noodles on-line. The image processing algorithm was a key when the vision system was built up to capture the image of dough with seasoning packets. Image of dough contour was analyzed to find if the dough has a perfect shape. Before pocketing instant noodle, several packets were checked if they lie on the dough by method of histogram statistics of brightness in HIS color model and threshold. Vegetable and oil packets were inspected by the histogram statistics of Hue while the silver salt packet was tested by the histogram statistics of luminance. Testing on actual production line, a system using the image algorithm has the precise identification rate of 100% and false detection rate of 99%, and the detection speed of better than 20 per minute.
机译:介绍机器愿景是良好的想法,以检查速度面条的调味包。图像处理算法是屏蔽系统的构建时是一个键,以通过调味包捕获面团的图像。分析面团轮廓的图像,以找到面团是否具有完美的形状。在零用方便面之前,如果通过他的颜色模型和阈值的亮度的直方图统计方法,检查了几个数据包。通过Hue的直方图统计检查蔬菜和油包,而通过亮度的直方图统计测试银盐包。在实际生产线上进行测试,使用图像算法的系统具有100%和假检出率为99%的精确识别率,检测速度优于20分钟。

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