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基于圖像處理的小麥病害診斷算法
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Algorithm of Diseased Wheat
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    摘要:

    通過(guò)小波變換和紋理矩陣計(jì)算，強(qiáng)調(diào)了小麥病害部位。由自動(dòng)閾值處理獲得病害部位的二值圖像；通過(guò)二值圖像與原圖像的匹配，計(jì)算出病害部位的顏色特征值；以待測(cè)病害圖像與庫(kù)存病害圖像之間顏色特征值差值最小為原則，檢索出庫(kù)存病害圖像。算法對(duì)小麥病害圖像的診斷準(zhǔn)確率達(dá)

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    90%。Diseased areas were emphasized using wavelet transformation and texture matrix, of which the binary image was obtained by threshold processing. Color values of the diseased area were calculated by matching the binary image and the original image. The diseased image in the database was searched using a principle of the least difference of color value between current image and image in database. Then the right rate of the detecting with the algorithm is above 90%. 

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陳兵旗,郭學(xué)梅,李曉華.基于圖像處理的小麥病害診斷算法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(12):190-195. Algorithm of Diseased Wheat[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(12):190-195.

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