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 OJAppS  Vol.3 No.1 B , March 2013
Recognition of Greenhouse Cucumber Disease Based on Image Processing Technology
Dong Pixia, Wang Xiangdong
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Abstract: This paper mainly studies the disease of cucumber downy mildew, powdery mildew and anthracnose leaf image processing and recognition technologies. Application of median filtering method of filtering noise, leaf spot disease of cucumber leaf color range segmentation part extract color feature parameters of the lesion site, characteristic parameters of the shape; extraction texture parameters by using gray level co-occurrence matrix. Based on the shortest distance methods to identify diseases of images. The experimental result showed that the current method on disease recognition accuracy rates more than 96%.
Keywords: Image Processing Cucumber Diseases Shape Features Color Features GLCM
Cite this paper: D. Pixia and W. Xiangdong, "Recognition of Greenhouse Cucumber Disease Based on Image Processing Technology," Open Journal of Applied Sciences, Vol. 3 No. 1, 2013, pp. 27-31. doi: 10.4236/ojapps.2013.31B006.
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