JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 29 Issue 2
March 2014
Article Contents
XIA Yong-quan, WANG Hui-min and ZENG Sha. Plant leaf image disease detection based on Android[J]. Journal of Light Industry, 2014, 29(2): 71-74. doi: 10.3969/j.issn.2095-476X.2014.02.018
Citation: XIA Yong-quan, WANG Hui-min and ZENG Sha. Plant leaf image disease detection based on Android[J]. Journal of Light Industry, 2014, 29(2): 71-74. doi: 10.3969/j.issn.2095-476X.2014.02.018 shu

Plant leaf image disease detection based on Android

  • Received Date: 2013-12-03
    Available Online: 2014-03-15
  • Aiming at the poor performance of agricultural intelligence development platform in open source,free charge and human-computer interaction based on Windows Mobile,under Android platform,a method of leaf image disease detection based on maximum between-cluster variance and Canny operator was proposed.Firstly,adaptive median filter was used to smooth leaf images.Secondly,the images were processed by grey scale transformation.Then,the transformed images were segmented to bi-value images by adopting a method based on maximum between-cluster variance.Finally,the bi-value images images were processed by edge detection based on Canny operator.Experimental result showed that this method achieved leaf image disease detection under Android platform.The method which could reduce marginal noise and extract the edge of leaf image disease effectively provided robustness,effectiveness and correctness.
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