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The Segmentation of Leaf and Stem of Individual Rice Plant with Hyperspectral Imaging System and Principal Component Analysis
Pages: 31-37
Year: Issue:  1
Journal: Acta Laser Biology Sinica

Keyword:  hyperspectral imagingimage processprincipal component analysis;
Abstract: In the study of phenomics,the segmentation of leaf and stem of individual rice plant is very important, which can be used to provide basis for the calculation of phenotypic parameters,such as green leaf area and biomass.Traditional methods are subjective,time-consuming,and labor-intensive.The segmentation with color image,acquired by CCD camera,has shown a poor result.This study introduced an automatic segmentation method of leaf and stem with a hyperspectral imaging system.First,the images of individual rice plant under different wavelength were extracted from original binary stream.Then the principal component analysis (PCA)was used to analyze all the images and extract main principal component images.At last,these main images were used to segment the leaf and stem with digital image processing.The result has shown that this hyperspectral imaging system and method that was used in this study has good segmentation outcome for the leaf and stem of individual rice plant on the tillering stage.This work provides a break-through for high-throughput,non-destructive,and accurate extracting the leaf and stem of rice,and promotes the devel-opment of the plant phenomics.
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