Study on segmentation of lettuce image based on morphological reorganization and watershed algorithm

The segmentation of lettuce is the key monitoring link in plant factory. First through the image information collector to collect a lettuce image, we analyzed the image of the morphological gradient image. Then the image of the lettuce was morphological and morphological, and the foreground image an...

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Bibliographic Details
Published in2018 Chinese Control And Decision Conference (CCDC) pp. 6595 - 6597
Main Authors Shi-Gang, Cui, Heng, Li, Xing-Li, Wu, Yong-Li, Zhang, Lin, He
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
Subjects
Image color analysis
Image edge detection
Image Processing
Image reconstruction
Image segmentation
Morphological operations
Morphological recombination
Production facilities
Watershed Algorithm
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Summary:The segmentation of lettuce is the key monitoring link in plant factory. First through the image information collector to collect a lettuce image, we analyzed the image of the morphological gradient image. Then the image of the lettuce was morphological and morphological, and the foreground image and background image of the image were marked. Finally lettuce and the background of the image based on the watershed algorithm for precise segmentation. The experimental results shown that the morphological recombination and watershed algorithm can accurately divide the images of the lettuce. This paper applies morphological recombination and watershed algorithm to plant factory, which provided reference basis for image processing in agricultural production and application.
ISSN:1948-9447
DOI:10.1109/CCDC.2018.8408290