A leaf base point extraction method in 3D point cloud data of tree canopy

Abstract

The present invention provides a leaf base point extraction method in three-dimensional point cloud data of a canopy layer, comprising: dividing a point cloud image of any branch in the tree canopy layer to be measured into a plurality of sub-point cloud images, and obtaining a clustering center of each sub-point cloud image; Based on the clustering center of each sub-point cloud image, space fitting is performed to obtain a spatial straight line; according to the point cloud image of any branch, the point cloud image corresponding to each leaf on any branch is obtained, and for the point cloud image corresponding to any leaf For each blade point cloud data, obtain the distance from each blade point cloud data to the space straight line, use the blade point cloud data with the smallest distance as the blade base point coordinates, and obtain the blade base point of any blade according to the blade base point coordinates. The invention automatically extracts the coordinates of the base points of the leaves in the branches to meet the analysis requirements of scientific researchers for canopy ecology; the calculation method is reasonable and suitable for automatic programming, which can improve the utilization rate of three-dimensional point cloud data of fruit tree canopies and reduce the number of three-dimensional reconstruction scientific research personnel Labor intensity.

Description

technical field [0001] The invention relates to the technical field of three-dimensional reconstruction, and more specifically, relates to a method for extracting leaf base points in three-dimensional point cloud data of tree canopies. Background technique [0002] At present, with the development of terrestrial 3D laser scanner technology, how to express and understand the meaning of these 3D point cloud data in the computer is a common problem encountered in many fields of science and technology. Apple tree 3D reconstruction technology, as an important technology in the implementation of digital orchard comprehensive management, has been widely valued by scientific and technological workers. [0003] How to quickly extract the point cloud data in the three-dimensional point cloud of the apple tree canopy has broad application prospects in the fields of agriculture and forestry, ecology, landscape design, computer animation and computer teaching. The growth process of the ...

AI Technical Summary

Problems solved by technology

[0004] At present, the position of the base point of the blade is mainly determined by manual experiments, or the mark recognition of each point in the massive 3D point cloud data, which is time-consuming and laborious.

Images