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Computer Assistance Image Processing Spores Counting

Authors: Jigang Li; Pengyun Xu;

Computer Assistance Image Processing Spores Counting

Abstract

To monitor plant disease which caused by spores, it is needed to obtain the spores image exterior outline characteristic, prepares for spores type analysis and automatic counting. This paper uses computer assistance digital image processing, realized image pretreatment, determined the threshold value reasonably, and transformed the gray image to binary image. Images was captured by CCD and input into computer for process. A kind of gray images research method has been proposed. In order to remove low frequency components, the input gray image is preprocessed by edge enhancement using the Median filter and canny edge algorithm. In this foundation using the imagery processing technology carries on morphology analyses, feature extraction and track. Its goal is obtains the spore image exterior outline characteristic, completes the spores type analysis, counting and distinguish.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Average
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