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融合多源圖像信息的果實(shí)識(shí)別方法
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國家自然科學(xué)基金資助項(xiàng)目(31371532,、31371532-B),、河北省科技計(jì)劃自籌經(jīng)費(fèi)項(xiàng)目(13237210)和保定市科學(xué)技術(shù)研究與發(fā)展計(jì)劃資助項(xiàng)目(12ZG011)


Fruit Recognition Algorithm Based on Multi-source Images Fusion
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    摘要:

    光線變化與目標(biāo)重疊是影響自然環(huán)境中果實(shí)正確識(shí)別的重要原因。為了降低兩者的影響,,研究了融合多源圖像信息的果實(shí)識(shí)別方法,。在圖像配準(zhǔn)的基礎(chǔ)上,,優(yōu)選了H分量圖與幅度圖像作為待融合的源圖像;由模糊推理系統(tǒng)(隸屬度函數(shù)和模糊規(guī)則)決定權(quán)重,,采用加權(quán)平均策略實(shí)現(xiàn)圖像的像素級(jí)融合,;根據(jù)融合圖像中果實(shí)區(qū)域的分布規(guī)律,設(shè)計(jì)了一種基于直方圖的首閾檢測(cè)法以獲得最佳的果實(shí)分割效果,;利用深度圖像的統(tǒng)計(jì)特性,,設(shè)計(jì)了一種逐層分割圖像的方法以解決重疊果實(shí)的分離問題。實(shí)驗(yàn)結(jié)果表明:多源融合圖像用于果實(shí)識(shí)別與定位比單一圖像具有更好的準(zhǔn)確性與魯棒性,,對(duì)重疊果實(shí)的正確識(shí)別率在83.67%~94.22%之間,。

    Abstract:

    Light changing and targets overlapped each other were main reasons of affecting fruit recognition accuracy under natural condition. In order to reduce both effects, a kind of fruit recognition algorithm based on multi source images fusion was studied. On the basis of image registration, H component image and amplitude image were selected as source images for fusion. The use of fuzzy logic in pixel level fusion was related to the weighted averaging approach where the weights were determined by using the fuzzy inference system (membership function and fuzzy rules). According to the law of fruit area distribution in the fused image, an head threshold detection algorithm based on histogram was presented,so as to get the best fruit segmentation results. According to statisitical properties of range image, a solution for overlapped fruits recognition using layer segmentation algorithm was designed. The experimental results showed that information on multi-source image fusion was used for fruit recognition and location more accurately and robustly than single image, overlapped fruit recognition rate was from 83.67% to 94.22%.

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馮 娟,曾立華,劉 剛,司永勝.融合多源圖像信息的果實(shí)識(shí)別方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2014,45(2):73-80. Feng Juan, Zeng Lihua, Liu Gang, Si Yongsheng. Fruit Recognition Algorithm Based on Multi-source Images Fusion[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(2):73-80.

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  • 收稿日期:2013-09-18
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  • 在線發(fā)布日期: 2014-02-10
  • 出版日期: 2014-02-10
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