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

    通過模擬田間實際噴霧情況,,利用圖像采集系統(tǒng)采集霧滴圖像,,對其進行增強和分割等預(yù)處理,,并對粘連霧滴提出用改進的分離粘連霧滴算法進行了分離處理,。基于相同樣本,,用圖像處理方法獲得的霧滴粒徑分布及覆蓋率等參數(shù)與激光粒度儀測量結(jié)果的對比分析表明,,利用圖像處理技術(shù)檢測霧滴分布參數(shù),其測量誤差在

    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,胡開群,莽璐,王洪濤,冀榮華.基于圖像處理的霧滴檢測技術(shù)[J].農(nóng)業(yè)機械學(xué)報,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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