Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation
Zhihong Ma, Ruiming Du, Jiayang Xie, Dawei Sun, Hui Fang, Lixi Jiang, Haiyan Cen
Abstract
values of 0.935, 0.916, and 0.897, respectively. Overall, the SHS algorithm is accurate, efficient, and robust for the segmentation of siliques and extraction of silique morphological parameters, which is promising for high-throughput silique phenotyping in oilseed rape breeding.
Topics & Concepts
SiliqueSegmentationSkeletonizationBiologyMathematicsBotanyComputer scienceArtificial intelligenceAnatomyArabidopsis thalianaBiochemistryGeneMutantSilicon Effects in AgricultureSoil Geostatistics and MappingDiatoms and Algae Research