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農(nóng)田地塊圖像分割技術(shù)研究
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Image Segmentation Technology for Field Parcel
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    摘要:

    農(nóng)田地塊圖像包含的目標(biāo)區(qū)域多,不同地物間信息相互影響和干擾明顯,,農(nóng)田地塊圖像的分割提取非常困難,。利用基于邊界和基于區(qū)域兩種圖像分割方法對(duì)高空拍攝的農(nóng)田地塊圖像進(jìn)行處理和實(shí)驗(yàn)。實(shí)驗(yàn)結(jié)果表明,,利用微分算子的圖像邊界分割算法雖然能夠有效識(shí)別出農(nóng)田地塊的邊緣,,但是對(duì)噪聲有放大作用;而利用閾值法的圖像區(qū)域分割算法可以很好地消除農(nóng)田地塊圖像的噪聲影響,。

    Abstract:

    Field parcel images consist of multiple target regions where different field objects are always interfered each other. As a result, segmentation and feature extraction of the field parcel image are very difficult. Aiming at that, two algorithms based on edge and region were used to process field parcel images photographed by an aerial camera. The results showed that the algorithm of image edge segmentation based on differential operators could effectively detect the edge of the field parcel, but enlarged the noise of image; the algorithm of image region segmentation based on threshold could effectively remove the noise from field parcel image.

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陳伊哲,湯修映,彭彥昆,徐楊,李翠玲.農(nóng)田地塊圖像分割技術(shù)研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(Z1):253-256.Image Segmentation Technology for Field Parcel[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(Z1):253-256.

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