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基于色度和形態(tài)特征的蝗蟲信息提取技術(shù)
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    摘要:

    采用基于數(shù)字圖像處理技術(shù)的蝗蟲(以粵北腹露蝗為例)自動(dòng)識(shí)別和計(jì)數(shù)方法,計(jì)算新型超低空蝗災(zāi)預(yù)警系統(tǒng)自動(dòng)采集視頻中的蝗蟲數(shù)量,。根據(jù)灰褐色蝗蟲與以綠色葉片為主的棲息地之間的顏色差異,利用基于色度空間的圖像分割方法從蝗蟲棲息地中分割蝗蟲區(qū)域,,然后利用蝗蟲區(qū)域面積和分散度提取單個(gè)存在的蝗蟲,根據(jù)群居蝗蟲個(gè)體大小基本一致的特性,,由單個(gè)蝗蟲的平均面積計(jì)算蝗蟲數(shù)量,。試驗(yàn)結(jié)果表明:蝗蟲區(qū)域的識(shí)別計(jì)數(shù)精度大于

    Abstract:

    85%。The locust detection and count method based on image processing was developed. The method was used to extract the number of locusts from color videos captured by a novel locust plague forecasting system with a super-low altitude helicopter. The color of locust is sandy beige, and the locusts’ habitat is mainly composed of green leaves. Therefore, the region of locust was segmented at first from the habitat according to the color feature of the hue space. Then some single locusts were detected by the area and compactness of the segmented locust area, and the mean area of them was used to compute the number of locusts for the characteristic that the infestation locusts have generally same size. The experimental results showed that the precision of the number of locusts achieved 85%.  

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毛文華,鄭永軍,苑嚴(yán)偉,張小超.基于色度和形態(tài)特征的蝗蟲信息提取技術(shù)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(9):104-107.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(9):104-107.

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