Open AccessPlant leaf images computerized segmenation
Author(s) -
Viktor Altukhov
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/957/1/012002
Subject(s) - hsl and hsv , rgb color model , thresholding , artificial intelligence , color space , computer vision , segmentation , computer science , color model , image segmentation , pattern recognition (psychology) , mathematics , image (mathematics) , biology , virus , virology
In this paper the comparison of RGB, HSV and CIELab color spaces is considered in view of diseased leaf images segmentation by color thresholding method. In such tasks HSV and CIELab outperform RGB. Thresholding method based upon HSV or CIELab color spaces can be applied to measuring leaves total area, diseased and healthy surfaces area, as well as dataset composing in machine learning.