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Apply image processing to measure the moisture content of rice kernel

机译:应用图像处理测量米仁的水分含量

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The moisture content of rice is importance before storage, because the water content has directed affect to rice damage (when store in high moisture content) and the piece is decease. The sample of this study was used Thai Hom Mali 105 long grain rough rice, were condition moisture content six levels 11-21 MC% (wet basis). For measurement the moisture content of rice, which is direct and indirect method, the standard method is hot air oven but time consuming. In this study aims to apply the image processing to determine the moisture content of rice kernel, the image processing is nondestructive and fast methods for measuring. The color extracting of rice kernel by RGB, HSV and L*a*b* color, then calculate color, classify with correlation between color and MC%. The result shows that L* and G color were high correlation with R2 =0.95, and 0.94, that mean the image processing method can apply to measure the moisture content of rice kernel.
机译:大米的水分含量在存储之前很重要,因为水分会直接影响大米的损坏(当以高水分含量存储时),并且米粒会减少。本研究的样品使用泰国Hom Mali 105长粒糙米,条件水分含量为11-21 MC%(湿基)六个水平。对于直接或间接测量大米的水分含量,标准方法是热风烤箱,但很费时间。本研究旨在通过图像处理来确定稻米的水分含量,该图像处理是一种无损且快速的测量方法。用RGB,HSV和L * a * b *颜色提取稻米色,然后计算颜色,并根据颜色与MC%的相关性进行分类。结果表明,L *和G色与R2 = 0.95和0.94高度相关,表明该图像处理方法可用于测量稻仁的水分含量。

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