Plant disease leaf image segmentation based on superpixel clustering and EM algorithm

Shanwen Zhang, Zhuhong You, Xiaowei Wu

科研成果: 期刊稿件文章同行评审

102 引用 (Scopus)

摘要

Plant disease leaf image segmentation plays an important role in the plant disease detection through leaf symptoms. A novel segmentation method of plant disease leaf image is proposed based on a hybrid clustering. The whole color leaf image is firstly divided into a number of compact and nearly uniform superpixels by superpixel clustering, which can provide useful clustering cues to guide image segmentation to accelerate the convergence speed of the expectation maximization (EM) algorithm, and then, the lesion pixels are quickly and accurately segmented from each superpixel by EM algorithm. The experimental results and the comparison results with similar approaches demonstrate that the proposed method is effective and has high practical value for plant disease detection.

源语言英语
页(从-至)1225-1232
页数8
期刊Neural Computing and Applications
31
DOI
出版状态已出版 - 13 2月 2019
已对外发布

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