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基于傅里葉描述子的稻飛虱形狀識別
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Shape Recognition Based on Fourier Descriptors
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    分析了具有旋轉(zhuǎn)、平移和尺度變換不變性，并且與邊界的起點(diǎn)位置無關(guān)的歸一化傅里葉描述子，并把傅里葉描述子及歐氏距離應(yīng)用于稻飛虱的形狀識別中，通過計(jì)算同一形狀和不同形狀的平均離散度檢驗(yàn)了歸一化傅里葉描述子系數(shù)的穩(wěn)定性，從而確定形狀系數(shù)基準(zhǔn)值。對191張樣本圖像進(jìn)行了測試，當(dāng)相似度差異小于0.0123時(shí)，稻飛虱誤判率為7.85%。結(jié)果表明，歸一化傅里葉描述子具有高效的識別性能。

    Abstract:

    Fourier descriptors(FDs) which didn’t change with changes of translation, rotation and scale, and were also independent of the location of the beginning point of the image edge were analyzed. The FDs and Euclidean distance were applied to the recognition of the rice hopper shape. Average discrete degree of sogatella furcifera and rice hopper was calculated to test stability of FDs and coefficients reference value of shape feature was determined. Through 191 sample images tested, it was found that when similarity difference was less 0.0123,error rate of rice hopper was 7.85%. The experiment results indicated that this approach had a good recognition performance.

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趙三琴,丁為民,劉德營.基于傅里葉描述子的稻飛虱形狀識別[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(8):181-184. Shape Recognition Based on Fourier Descriptors[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(8):181-184.

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