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珍珠形狀的計(jì)算機(jī)視覺識別
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    摘要:

    采用計(jì)算機(jī)視覺采集珍珠圖像,,通過一系列的預(yù)處理后,,轉(zhuǎn)化到極坐標(biāo)系下,,利用計(jì)算前8組F(h)(傅里葉系數(shù))數(shù)值作為每種典型形狀特征面的特征參數(shù),,然后運(yùn)用模糊模式識別的方法對每一幅圖像的珍珠形狀進(jìn)行有效判別。通過對多視角得到的圖像特征面的尋找與比較判別,,實(shí)現(xiàn)珍珠形狀的判別分類,。實(shí)驗(yàn)結(jié)果表明,分選最大誤判率為

    Abstract:

    33.3%,。 Shape classification is an important step to pearl classification. After a series of preprocessing, the pearl image obtained by computer vision was transformed to the polar coordinates, and then eight F(h) (Fourier coefficient) values was computed as each kind of typical shape characteristic parameters. Subsequently the utilization of fuzzy pattern recognition method realized the shape effective distinction of each pearl image. Finally, the pearl shape distinction classification was realized by seeking and comparison of characteristics image through multi-angles of view. The experimental results indicate that the largest error judgments rate of the proposed distinction method is 33.3%.  

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李革,李斌,王瑩,余智,李兢,趙華勇.珍珠形狀的計(jì)算機(jī)視覺識別[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(7):129-132.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(7):129-132.

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