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水果表面亮度不均校正及單閾值缺陷提取研究
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國家高技術(shù)研究發(fā)展計(jì)劃（863計(jì)劃）資助項(xiàng)目（2010AA101401）


Correction Algorithm of Illumination Nonuniformity on Fruit Surface and Defects Extraction Using Single Threshold Value
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    提出了一種水果表面亮度不均校正算法。以臍橙為研究對(duì)象，首先提取R分量圖像并除去背景后獲得原始圖像；然后根據(jù)照度—反射模型，利用低通濾波獲得該圖像的入射分量圖，將此入射分量圖作為該圖像的亮度圖像；最后，原始圖像與亮度圖像相除后即為亮度校正后的圖像?；诹炼刃Ｕ蟮膱D像，利用單閾值對(duì)水果表面缺陷一次性成功分割。利用開發(fā)的算法對(duì)正常樣本和帶有10類不同缺陷的樣本共計(jì)788幅圖像進(jìn)行處理，總體識(shí)別正確率達(dá)到97%。

    Abstract:

    An algorithm was proposed to overcome the difficulty that defects could not be successfully segmented at one time due to illumination nonuniformity on fruit surface. Navel orange was selected as experiment object. Firstly, the R component image of navel orange was extracted and original image was obtained by removed R component image background. Then, incident component of original image was obtained by low pass filtering based on illuminationreflectance model. The incident component was considered as illumination image of original image. Finally, the corrected image was computed by original image dividing by illumination image. Defects were successfully segmented at one time by a threshold value. The sound samples and samples with other ten types of peel diseases were detected by using the proposed method. The experimental result showed that the recognition rate was over 97% based on 788 obtained images.

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李江波,饒秀勤,應(yīng)義斌.水果表面亮度不均校正及單閾值缺陷提取研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2011,42(8):159-163. Li Jiangbo, Rao Xiuqin, Ying Yibin. Correction Algorithm of Illumination Nonuniformity on Fruit Surface and Defects Extraction Using Single Threshold Value[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(8):159-163.

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