Grading Method of Leaf Spot Disease Based on Image Processing

Author

Weizheng, Shen ; Yachun, Wu ; Zhanliang, Chen ; Hongda, Wei

Author_Institution

Dept. of Comput., Northeast Agric. Univ., Harbin

Volume

6

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

491

Lastpage

494

Abstract

Since current grading of plant diseases is mainly based on eyeballing, a new method is developed based on computer image processing. All influencing factors existed in the process of image segmentation was analyzed and leaf region was segmented by using Otsu method. In the HSI color system, H component was chosen to segment disease spot to reduce the disturbance of illumination changes and the vein. Then, disease spot regions were segmented by using Sobel operator to examine disease spot edges. Finally, plant diseases are graded by calculating the quotient of disease spot and leaf areas. Researches indicate that this method to grade plant leaf spot diseases is fast and accurate.

Keywords

biology computing; botany; diseases; image colour analysis; image segmentation; HSI color system; Otsu method; Sobel operator; computer image processing; grading method; illumination change; image segmentation; leaf region; leaf spot disease; plant disease; Agricultural engineering; Computer science; Diseases; Educational institutions; Image analysis; Image processing; Image segmentation; Lesions; Pixel; Plants (biology); disease; image segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.1649

Filename

4723305