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.
  • 加载中
    1. [1]

      夏永泉,徐洁,崔伟.均值滤波中邻域均值的快速计算[J].郑州轻工业学院学报:自然科学版,2008,23(3):57.

    2. [2]

      刘晴蕊,何东健,张宏鸣,等.苹果病害智能诊断方法研究与设计[J].农机化研究,2011(4):82.

    3. [3]

      李志达.基于互联网的农业专家系统发展研究[J].农业科技与装备,2011(6):143.

    4. [4]

      李伟,芦东昕,柳长安.基于Windows Mobile的智能终端上自动化测试研究[J].计算机工程与设计,2006,27(21):111.

    5. [5]

      关富英,龙世彤,黄婧.3G时代农村移动信息服务研究[J].科技情报开发与经济,2011,21(4):140.

    6. [6]

      左奇,史忠科.一种基于数学形态学的实时车牌图象分割方法[J].中国图象图形学报,2003,8(3):281.

    7. [7]

      宋莹,陈科,林江莉,等.基于图像分块的边缘检测算法[J].计算机工程,2010,36(14):202.

    8. [8]

      陈燕龙,祝成虎.基于Canny算子的边缘检测改进算法[J].计算机应用与软件,2008,25(8):57.

    9. [9]

      李牧,闫继红,李戈,等.自适应Canny算子边缘检测技术[J].哈尔滨工程大学学报,2007,28(9):52.

    10. [10]

      尚明华,秦磊磊,王风云,等.基于Android智能手机的小麦生产风险信息采集系统[J].农业工程学报,2011(5):188.

Article Metrics

Article views(1413) PDF downloads(19) Cited by()

Ralated
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return