作物病害图像中重叠病斑分离算法
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    摘要:

    针对传统的分水岭分割算法的不足,应用了一种基于标记测地重建的分水岭算法对棉花重叠病斑图像进行分离。首先对病斑二值图像利用多尺度距离变换获得病斑的距离图像,通过极限腐蚀操作检测出标记种子;然后以种子标记为基础,运用形态学测地重建运算获取测地影响区骨架SKIZ——分水岭线;最后利用分水岭线与原病斑图像进行交集运算,从而得到分离的图像。运用该算法对棉花重叠病斑图像进行分离,试验结果表明:该方法能较好地将图像中的重叠病斑分离,并较好地保存病斑边缘信息,对图像中的微小结构和噪声不敏感,具有良好的鲁棒性。

    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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张艳诚,毛罕平,胡波,李明喜.作物病害图像中重叠病斑分离算法[J].农业机械学报,2008,39(2):112-115.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(2):112-115.

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