Automatic Identification of First-Order Veins and Corolla Contours in Three-Dimensional Floral Images.

ABSTRACT: Defining and quantifying corolla traits are essential for studying corolla shape variation. Three-dimensional (3D) images of corollas contain comprehensive information regarding corolla structures and are optimal for studying corolla shapes. Conventionally, corolla traits are identified and quantified manually from 3D images. Manual identification is time consuming and labor intensive. In this study, approaches are proposed to automatically identify first-order veins and corolla contours in 3D corolla images. The first-order veins of the corollas were identified using Hessian of Gaussian and Dijkstra's algorithm. The contours of the corollas were identified using vector harmony and node distance thresholding. A total of 130 3D images of 28 species in the subtribe Ligeriinae were collected

SUBMITTER: Wang YH 

PROVIDER: S-EPMC7525071 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature