An Algorithm for Segmenting Spots in Crop Leaf Disease Image with Complicated Background

文献类型： 外文期刊

第一作者： Diao, Zhihua

作者： Diao, Zhihua;Guo, Xinyu;Zhao, Chunjiang;Lu, Shenglian;Wen, Weiliang;Diao, Zhihua

作者机构：

关键词： Image Segmenting; Watershed Algorithm; Morphological Processing; Noise Elimination; Complicated Background

期刊名称：SENSOR LETTERS （ 影响因子：0.558； 五年影响因子：0.58 ）

ISSN： 1546-198X

年卷期： 2010 年 8 卷 1 期

页码：

收录情况： SCI

摘要： A segmentation algorithm is proposed in this paper to deal with the problem of segmenting spots from crop leaf disease image with complicated background. Firstly the profile of the initial image is extracted by using a watershed algorithm from the gray-scale image, and the binary image is obtained by combining a threshold processing and morphological operations. Then the accurate leaf disease image is extracted by using window clipping and image restoration. Finally, the spots are segmented from the leaf disease image by using green segmentation algorithm, and the accurate spot information can be obtained after noise reduction. The experimental result shows that the proposed algorithm can be used in complicated field environment with high extracting accuracy.

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