JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 30 Issue 1
January 2015
Article Contents
XIA Yong-quan, ZENG Sha and LI Yao-bin. An improved edge extraction technology of the plant leaf disease region[J]. Journal of Light Industry, 2015, 30(1): 67-70. doi: 10.3969/j.issn.2095-476X.2015.01.014
Citation: XIA Yong-quan, ZENG Sha and LI Yao-bin. An improved edge extraction technology of the plant leaf disease region[J]. Journal of Light Industry, 2015, 30(1): 67-70. doi: 10.3969/j.issn.2095-476X.2015.01.014 shu

An improved edge extraction technology of the plant leaf disease region

  • Received Date: 2014-09-19
    Available Online: 2015-01-15
  • Aiming at the defect that the traditional Canny operator edge detection easily lost the edge details,an improved technology was developed to extract the edges of the leaf disease region. More complete gradient information was preserved by using Otsu to binary plant disease images and adding on two oblique directions gradient information extraction, so as to get a more complete edge image. The experimental results showed that this method could effectively filter out noise in the image and detect the details of the gradient, remove the false edges and noise edges and get the lesion edges more accurately.
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