Title :
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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1649
