Vein acquisition method for plant leaves

Abstract

The invention provides a vein acquisition method for plant leaves. The vein acquisition method comprises the following steps: step 11, carrying out principal component analysis on plant leaf point clouds; step 13, segmenting the leaf point cloud based on an octree; defining two endpoints in the direction of the first principal component as a starting point and an ending point respectively; step 15, selecting a starting point as a base point; step 17, searching K nearest neighbor points around the base point; step 19, respectively calculating the sum of the distances between each nearest neighbor point and the base point and between each nearest neighbor point and the terminal point; step 21, judging whether the nearest neighbor point with the minimum distance sum is a base point or not; step 23, when the nearest neighbor point with the minimum distance sum is not the previous base point, taking the nearest neighbor point with the minimum distance sum as the current base point; step 25,circularly executing the step 17 to the step 23 until the base point is an end point; and step 27, performing fitting according to the stored base points so as to acquire leaf veins of the leaves. The vein obtaining method for the plant leaves is high in efficiency.

Description

technical field [0001] The invention relates to the field of plant phenotype measurement, in particular to a method for obtaining veins of plant leaves. Background technique [0002] Plant phenotype is determined or influenced by genes and environmental factors, and reflects all physical, physiological, biochemical characteristics and traits of plant structure and composition, plant growth and development process and results. Leaf is an important part of the plant, and its shape directly affects the growth and final yield of the plant, and is an indispensable part of plant phenotype classification. The veins allow the leaves to stretch in the air to maximize sunlight and are the most important part of the leaves. [0003] In the prior art, the leaf veins are extracted from the leaf point cloud. Generally, the principal component analysis is first performed on the leaf point cloud to find the tip and base of the blade. The shortest path to replace the veins. This method ne...

AI Technical Summary

Problems solved by technology

This method needs to compare all possible paths on the leaf point cloud to find the shortest path. The efficiency is relatively low, and the shortest path searched is not smooth, and there is still an error compared with the smooth veins.

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