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| Improved Bernsen binary algorithm fordetection of plant disease leaves |
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| DOI：10.16768/j.issn.1004-874X.2016.12.022 |
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| Abstract: |
| As for the diffcultity of leaf spot disease detection in plant remote identification under complex
background of large field，a remote detection method of plant disease was proposed based on improved Bernsen
binary algorithm. The disease leaf images were collected by IOT from different areas. According to the different
characteristics of color subspace of RGB and HIS of disease leaf and normal leaf and background colors，the spot
images were extracted by the improved Bernsen binary algorithm from the four color channels of R，G，B and H，
respectively. Then the spot images were obtained by spot image fusion. The proposed method was applied to segment
several plant disease leaf images of agricultural IOT. Results showed that the improved algorithm could effectively
segment the plant disease images in the complex background environment，remove a large complex background，
and obtain the spot image. The proposed method can provide technical guidance for the remote intelligent monitoring
system of plant disease in large areas. |
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