<FONT face="Verdana">Study on Recognition Method of Rice Disease Based on Image<BR></FONT>

GUAN Ze-xin,TANG Jian,YANG Bao-jun,ZHOU Ying-feng,FAN De-yao,YAO Qing

doi:10.3969/j.issn.1001-7216.2010.05.009

Chinese Journal OF Rice Science >

2010 , Vol. 24 >Issue 5: 497 - 497～502

DOI: https://doi.org/10.3969/j.issn.1001-7216.2010.05.009

研究报告

Study on Recognition Method of Rice Disease Based on Image

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¹College of Informatics and Electronics, Zhejiang SciTech University, Hangzhou 310018, China; ²China National Rice Research Institute, Hangzhou 310006, China；*Corresponding author, E-mail: q-yao@126.com

Received date: 1900-01-01

Revised date: 1900-01-01

Online published: 2010-09-10

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Abstract

The recognition method of three kinds of rice diseases (blast, sheath blight, and bacterial leaf blight) was studied by image processing technique and the Bayes discrimination method. Firstly, the disease spots were segmented by color features and their outlines, and 63 parameters of shape, color and texture features were extracted. Secondly, the stepwise discriminant analysis was used to select effective recognition parameters from four parameter sets of shape, color, texture feature and all of them. Finally, the Bayes discrimination method was applied to classify and recognize the three kinds of rice diseases. The results showed that the number of texture parameters decreased to 35.2% and the highest recognition rates of four parameter sets was 97.2%. This method could also be applied to recognize diseases of other crops.

Key words： rice; diseases recognition; image processing; stepwise discriminant analysis; Bayes discrimination method

Cite this article

GUAN Ze-xin,TANG Jian,YANG Bao-jun,ZHOU Ying-feng,FAN De-yao,YAO Qing . Study on Recognition Method of Rice Disease Based on Image
[J]. Chinese Journal OF Rice Science, 2010 , 24(5) : 497 -497～502 . DOI: 10.3969/j.issn.1001-7216.2010.05.009

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