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溫室環(huán)境下紅掌圖像拼接算法
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國家高技術研究發(fā)展計劃(863計劃)資助項目(SS2012AA041507),、中國博士后科學基金資助項目(2011M500450)、中央高?;究蒲袠I(yè)務費專項基金資助項目(2012QJ119)和中國農業(yè)大學基本科研業(yè)務費研究生科研創(chuàng)新專項資助項目(2012YJ106)


Anthurium Image Mosaicing Algorithm in Greenhouse Environment
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    摘要:

    研究了非結構環(huán)境復雜背景下圖像拼接方法,,實現(xiàn)了溫室環(huán)境下紅掌圖像的拼接,。以溫室自然光照環(huán)境下隨機壟地為研究對象,,提出先采用2G-R-B算法提取紅掌,、再采用SIFT算法進行圖像特征匹配的方式,,并對使用SIFT算法的圖像拼接算法進行了改進,,大大降低了原拼接算法在高噪聲環(huán)境下的運算量及處理時間,,實現(xiàn)了高噪聲環(huán)境下紅掌圖像快速有效的拼接。在智能對靶施藥系統(tǒng)的基礎上進行實驗,,結果表明,,所提出的方法拼接速度為0.083s,誤判率為7.3%,。

    Abstract:

    An image stitching method in the complex environment of non-structural context was studied. The anthurium image mosaicing under greenhouse environment was achieved. A random ridge by natural light environment in greenhouse was researched. An anthurium image stitching method based on SIFT only was improved by using a method that extracting anthurium by a 2G-R-B method firstly, and registering image by SIFT method secondly. The proposed method can greatly reduce the computation and processing time under high-noise environment. And a quickly and efficiently anthurium extraction method under high-noise environment was achieved. Experiments were carried on intelligence target spaying system. The results showed the mosaic time-consuming was 0.083s and false positive rate was 7.3%.

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張凱,耿長興,張二鵬,曲峰,張俊雄,李偉.溫室環(huán)境下紅掌圖像拼接算法[J].農業(yè)機械學報,2013,44(4):223-227. Zhang Kai, Geng Changxing, Zhang Erpeng, Qu Feng, Zhang Junxiong, Li Wei. Anthurium Image Mosaicing Algorithm in Greenhouse Environment[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(4):223-227.

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  • 在線發(fā)布日期: 2013-03-28
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