Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation.

ABSTRACT: Silique morphology is an important trait that determines the yield output of oilseed rape (Brassica napus L.). Segmenting siliques and quantifying traits are challenging because of the complicated structure of an oilseed rape plant at the reproductive stage. This study aims to develop an accurate method in which a skeletonization algorithm was combined with the hierarchical segmentation (SHS) algorithm to separate siliques from the whole plant using 3-dimensional (3D) point clouds. We combined the L1-median skeleton with the random sample consensus for iteratively extracting skeleton points and optimized the skeleton based on information such as distance, angle, and direction from neighborhood points. Density-based spatial clustering of applications with noise and weighted unidirect

SUBMITTER: Ma Z 

PROVIDER: S-EPMC10017417 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature