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基于模糊邏輯的植物葉片邊緣檢測(cè)方法
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上海市科委社會(huì)發(fā)展領(lǐng)域科技攻關(guān)資助項(xiàng)目（11dz1210802）


Plant Leaf Edge Detection Based on Fuzzy Logic
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    摘要:

    針對(duì)溫室環(huán)境植物葉片邊緣檢測(cè)中，植物圖像通常含有噪聲、背景復(fù)雜且圖像數(shù)據(jù)存在模糊性和不完整性問(wèn)題，提出了基于模糊邏輯的植物葉片邊緣檢測(cè)方法。首先，根據(jù)鄰域像素的統(tǒng)計(jì)特性及綠色植物和土壤背景的顏色差異性，利用線性函數(shù)定義噪聲和邊緣的隸屬度函數(shù)；其次，采用Sugeno模糊模型進(jìn)行模糊推理，以減少模糊規(guī)則數(shù)量；最后，利用模糊推理結(jié)果先進(jìn)行模糊濾波后再進(jìn)行模糊邊緣檢測(cè)。實(shí)驗(yàn)證明，提出的方法克服了常規(guī)算法未考慮葉片像素和背景像素的顏色差異而導(dǎo)致產(chǎn)生大量偽邊緣的問(wèn)題，在噪聲環(huán)境中能有效提取自然背景下植物葉片邊緣信息，可有效用于溫室環(huán)境的植物葉片圖像邊緣檢測(cè)。

    Abstract:

    It is difficult to detect plant leaf edge in green house environment because of noise and incompletion. For this problem, an edge detection based on fuzzy logic was proposed. Firstly, according to the statistics characteristic of neighbor pixels and color difference between plant and soil, membership function of noise and edge was defined by using linear function. Secondly, fuzzy rules were deduced by using Sugeno fuzzy model, so as to decrease the rule amounts. Then, with the results of fuzzy reasoning, fuzzy filter and fuzzy edge detection were performed. The experiment results indicated that the proposed method could overcome the problem of large amounts of false edges which caused by color difference between leaves and backgrounds in conventional algorithms. The proposed algorithm could detect edges in noisy environment effectively and could be used for the plant leaf edge detection in greenhouse monitoring. 

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林開(kāi)顏,司慧萍,周強(qiáng),吳軍輝,陳杰.基于模糊邏輯的植物葉片邊緣檢測(cè)方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(6):227-231. Lin Kaiyan, Si Huiping, Zhou Qiang, Wu Junhui, Chen Jie. Plant Leaf Edge Detection Based on Fuzzy Logic[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(6):227-231.

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  • 在線發(fā)布日期: 2013-05-28
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