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類球形水果表皮顏色變化校正方法研究
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“十二五”國家科技支撐計劃資助項目(2013BAD19B02)、中國博士后科學(xué)基金資助項目(2012M520193)和北京市博士后科研活動經(jīng)費資助項目(2013ZZ-70)


Correction Algorithm of Lighting Non-uniformity on Spherical Fruit
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    摘要:

    針對類球形水果表面較大的曲率變化會引起表面亮度不均,從而導(dǎo)致水果顏色分級評價中存在誤差大、準確率低等問題,提出了二維B樣條水果表面亮度不均校正算法。利用該算法分別對原始RGB圖像各單通道圖像進行亮度校正,然后將校正后的RGB圖像轉(zhuǎn)換成HIS顏色空間圖像,提取色調(diào)H和亮度I分量,通過對比校正前后H和I分量圖像像素灰度標(biāo)準差評價校正效果。對160幅橙圖像處理結(jié)果表明,校正后的圖像在色調(diào)和亮度上比原始圖像更加均勻,色調(diào)H分量和亮度I分量的平均標(biāo)準差分別僅為原始圖像標(biāo)準差的21.57%和33.94%,色調(diào)和亮度均勻性得到了明顯的改善。

    Abstract:

    In terms of spherical fruits, the lighting was usually uneven distribution on the surface of fruits due to the larger change of curvature from fruit surface. Therefore, some drawbacks such as large error and low accuracy were still existed in the grading and assessing for fruit peel color. In order to solve this problem, B-spline lighting correction method was proposed in this study. Using the proposed algorithm, R, G and B channel images abstracted from original RGB image were firstly corrected respectively. Then, the corrected RGB image was changed into HIS color space image and hue H and illumination I component images were abstracted. Finally, the correction performance was assessed by computing the standard deviation of pixels in H and I component images before and after correction. For the investigated 160 orange sample images, the result showed that the corrected images were more uniform in terms of hue and illumination. Only 21.57% and 33.94% of mean standard deviations of original hue and illumination component were obtained. The uniformity of hue and illumination was effectively improved.

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李江波,黃文倩,張保華,彭彥昆,趙春江.類球形水果表皮顏色變化校正方法研究[J].農(nóng)業(yè)機械學(xué)報,2014,45(4):226-230. Li Jiangbo, Huang Wenqian, Zhang Baohua, Peng Yankun, Zhao Chunjiang. Correction Algorithm of Lighting Non-uniformity on Spherical Fruit[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(4):226-230.

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  • 收稿日期:2013-05-11
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  • 在線發(fā)布日期: 2014-04-10
  • 出版日期: 2014-04-10