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基于圖像處理技術(shù)的麥穗產(chǎn)量測量方法
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    摘要:

    選用9918小麥品種,利用Matlab圖像處理技術(shù),對小麥穗頭圖像的紋理特征與產(chǎn)量的關(guān)系作了初步研究。研究結(jié)果表明:穗頭圖片各紋理特征參數(shù)值(灰度均值、方差、平滑度、三階矩、一致性、熵)與穗頭產(chǎn)量均呈顯著相關(guān);用多元線性回歸方法建立的穗頭圖像紋理-產(chǎn)量數(shù)學(xué)模型,在置信度為95%時,復(fù)相關(guān)系數(shù)為0.980 7;對于產(chǎn)量大于、等于1.06 g的本品種穗頭,用建立的模型測穗頭產(chǎn)量,精度達(dá)15%以上的樣本占

    Abstract:

    84.42%The relationship between the yield of a wheat spike and its image texture features was investigated with image processing technology. The spike images were obtained by a digital camera and processed with Matlab. The spike textures described with the mean value, standard deviation, smoothness, third moment, consistency and entropy were extracted based on gray level statistical properties of the spike image and the relationship between wheat spike yield and its image texture features was established by means of multiple linear-regression method. For the given breed named wheat 9918, the experimental results showed that the kernel yield of the wheat spike and its image texture features are significantly correlated with the confidence of 95% and correlative coefficient of 0.980 7. Using established model, wheat spike yield could be predicted with relative error less than 15% for 84.42% samples. 

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龔紅菊,姬長英.基于圖像處理技術(shù)的麥穗產(chǎn)量測量方法[J].農(nóng)業(yè)機(jī)械學(xué)報,2007,38(12):116-119.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(12):116-119.

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