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作物病害圖像中重疊病斑分離算法
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    摘要:

    針對傳統(tǒng)的分水嶺分割算法的不足,應用了一種基于標記測地重建的分水嶺算法對棉花重疊病斑圖像進行分離。首先對病斑二值圖像利用多尺度距離變換獲得病斑的距離圖像,通過極限腐蝕操作檢測出標記種子;然后以種子標記為基礎(chǔ),運用形態(tài)學測地重建運算獲取測地影響區(qū)骨架SKIZ——分水嶺線;最后利用分水嶺線與原病斑圖像進行交集運算,從而得到分離的圖像。運用該算法對棉花重疊病斑圖像進行分離,試驗結(jié)果表明:該方法能較好地將圖像中的重疊病斑分離,并較好地保存病斑邊緣信息,對圖像中的微小結(jié)構(gòu)和噪聲不敏感,具有良好的魯棒性。

    Abstract:

    For accurately isolating the overlapping spots in crop disease images, an improved watershed algorithm named marker-reconstruction watershed algorithm was presented. Firstly, the binary spots image was transformed to distance image by multi-scale distance transform operator and makers (seed) were detected by using ultimate erosion. Then, geodesic SKIZ (i.e., watershed division lines) has been obtained by geodesic reconstruction operator constrained by marking seed image. Finally, the watershed division lines were subtracted from the original binary image. Applying the proposed method in cotton disease images, the experimental results indicated that the method could validly and effectively separate overlapping spots in the image, moreover, preferably protect the spots edge. This method is insensitive to noise and tiny outlier of the image.

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張艷誠,毛罕平,胡波,李明喜.作物病害圖像中重疊病斑分離算法[J].農(nóng)業(yè)機械學報,2008,39(2):112-115.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(2):112-115.

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