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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:

    通過小波變換和紋理矩陣計算,，強調(diào)了小麥病害部位。由自動閾值處理獲得病害部位的二值圖像,；通過二值圖像與原圖像的匹配,，計算出病害部位的顏色特征值,；以待測病害圖像與庫存病害圖像之間顏色特征值差值最小為原則,，檢索出庫存病害圖像,。算法對小麥病害圖像的診斷準確率達

    Abstract:

    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)機械學報,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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