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蝦仁圖像細(xì)化曲線長度與體重相關(guān)性研
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of the Refinement Curve Length of Shrimp and Its Correlation with Weight
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    摘要:

    蝦仁細(xì)化曲線長度是蝦仁質(zhì)量預(yù)測的一個重要因素,，為了提取蝦仁細(xì)化曲線長度，對機器視覺所采集的白蝦蝦仁圖像進(jìn)行形態(tài)學(xué)處理,，減少細(xì)化處理后細(xì)化圖像曲線的分支,，經(jīng)過對細(xì)化曲線每個像素為中心的3×3鄰域分析，判斷出細(xì)化曲線的分支,，提出一種端點擦除方法去除分支,，通過平均值補償方法還原蝦仁細(xì)化曲線并計算其長度。經(jīng)過計算發(fā)現(xiàn),，蝦仁細(xì)化曲線長度與體重函數(shù)關(guān)系的相關(guān)系數(shù)為0.894,，蝦仁面積與體重關(guān)系模型的相關(guān)系數(shù)為0.939，蝦仁細(xì)化曲線長度,、蝦仁面積與體重關(guān)系模型的相關(guān)系數(shù)為0.954,，可見蝦仁細(xì)化曲線長度提高了蝦仁體重預(yù)測的精度。

    Abstract:

    Refinement curve length of shrimp is an important factor in its weight prediction. Morphological filter was required to reduce branches of the refinement curve in order to get this value. The existence of branches was correctly judged by 3×3 neighborhood analysis of every pixel on the refinement curve. Then the length of refinement curves which contain branches could be calculated by erasing the endpoints to remove branches and average compensation method. The conclusion showed that the correlation was obvious, with the correlation coefficient of 0.894 between its refinement curve length and weight, 0.939 between the size and weight, and prediction correlation coefficient of 0.954 between comprehensive details both of the length and size of shrimp and the weight after modeling. The results indicate that it's promising to increase the predicting accuracy with refinement curve length.

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潘鵬,李建平,傅立,呂谷來,楊徽.蝦仁圖像細(xì)化曲線長度與體重相關(guān)性研[J].農(nóng)業(yè)機械學(xué)報,2009,40(3):172-175. of the Refinement Curve Length of Shrimp and Its Correlation with Weight[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(3):172-175.

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