Segmentation of disease image of lettuce leaves based on machine vision

In order to apply the research on the disease of lettuce leaves, a new segmentation method of disease image of lettuce leaves was proposed based on machine vision. In this method, the Otsu algorithm is used to segment the leaves and background of lettuce, and uses the H component as the data process...

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Bibliographic Details
Published in2018 Chinese Control And Decision Conference (CCDC) pp. 6590 - 6594
Main Authors Meng, Rui-Qi, Cui, Shi-Gang, Zhang, Yong-Li, Wu, Xing-Li, He, Lin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
Subjects
Agriculture
Blades
Diseases
Histograms
HSI Color Space
Image color analysis
Image segmentation
K-Means Algorithm
Lettuce
Machine Vision
Object segmentation
Otsu Algorithm
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Summary:In order to apply the research on the disease of lettuce leaves, a new segmentation method of disease image of lettuce leaves was proposed based on machine vision. In this method, the Otsu algorithm is used to segment the leaves and background of lettuce, and uses the H component as the data processing basis to divide the diseased area. Compared with K-means algorithm, the results show that the proposed method has higher segmentation accuracy and faster running speed.
ISSN:1948-9447
DOI:10.1109/CCDC.2018.8408289