Comparison between the geometric centroid and skeletonization methods employed in this study.

<p>(a) depicts the skeleton extracted using the geometric centroid method, where the blue points represent the geometric center of mass skeleton points. (b) illustrates the skeletonization method employed in this study, with red points representing the skeleton points extracted by the proposed...

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Bibliographic Details
Main Author:	Qi Yikai (22298207) (author)
Other Authors:	Zhou Yang (329522) (author), Xiang Longbin (22298210) (author)
Published:	2025
Subjects:	Medicine Ecology Developmental Biology Plant Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified schima superba </ principal component analysis predicted correlation coefficients minimum spanning tree means ++ algorithm including plant height adhering leaves based achieve higher precision dimensional point clouds extract skeleton points automatic phenotypic calculation segmented point cloud manual measurement process div >< p suboptimal separation accuracy 3d point skeleton extraction site measurement segmentation process phenotypic parameters leaf separation cloud phenotyping technical challenges plantation management main steps leaf segmentation leaf junction leaf area large errors initially estimate improved k first time fine segmentation experimental phenotypes effectively improving effectively addressing destructive method coarse segmentation automated non accurately identify
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Comparison between the geometric centroid and skeletonization methods employed in this study.

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