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基于圖像處理的霧滴檢測(cè)技術(shù)
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Based on Image Processing
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    摘要:

    通過(guò)模擬田間實(shí)際噴霧情況,利用圖像采集系統(tǒng)采集霧滴圖像,對(duì)其進(jìn)行增強(qiáng)和分割等預(yù)處理,并對(duì)粘連霧滴提出用改進(jìn)的分離粘連霧滴算法進(jìn)行了分離處理?;谙嗤瑯颖荆脠D像處理方法獲得的霧滴粒徑分布及覆蓋率等參數(shù)與激光粒度儀測(cè)量結(jié)果的對(duì)比分析表明,利用圖像處理技術(shù)檢測(cè)霧滴分布參數(shù),其測(cè)量誤差在

    Abstract:

    6%以內(nèi)。 The droplet size distribution is evaluated by image processing. The traces of the captured droplet on water-sensitive papers are detected by a camera and then sent for segment and evaluation by a specially developed program. An improved GLV algorithm is used to separate the conglutinated droplets and compute their size data comparing to the discrete droplets. Comparison experiments are conducted to measure the droplet size distribution by a laser particle size analyzer. The evaluation result shows that the error between the data set given by image process and the data set from laser analyzer is less than 6%.

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祁力鈞,胡開(kāi)群,莽璐,王洪濤,冀榮華.基于圖像處理的霧滴檢測(cè)技術(shù)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(Z1):48-51. Based on Image Processing[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):48-51.

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