Plant chlorophyll content three-dimensional space three-dimensional distribution visualization method based on point cloud

Abstract

The invention discloses a point cloud-based plant chlorophyll content three-dimensional space distribution visualization method. The method comprises the following steps: collecting color image data of plant leaves; detecting the chlorophyll content of the collected plant leaves through a chlorophyll content measuring instrument; extracting color factors from the color image data of the plant leaves; performing correlation analysis on the chlorophyll content detected by the chlorophyll content measuring instrument and the extracted color factors, and establishing an optimal regression model of the chlorophyll content; and applying the optimal regression model of the chlorophyll content to the reconstructed three-dimensional model of the plant to obtain corresponding chlorophyll content values of all points, and performing pseudo-color processing to realize three-dimensional space distribution visualization of the chlorophyll content of the plant. According to the method, the problem that the chlorophyll content cannot be rapidly, accurately and non-destructively measured on a large scale in the existing plant phenotype information extraction is solved, and the visualization of the three-dimensional space distribution of the plant chlorophyll content is realized, so that the distribution condition of the plant chlorophyll content can be intuitively observed.

Description

technical field [0001] The invention relates to the field of image analysis, and more specifically to a visualization method for three-dimensional distribution of plant chlorophyll content based on point clouds. Background technique [0002] When analyzing the physiological and biochemical parameters of plants, it is a common method to collect plant images through computer vision technology and analyze the color information in the image data and the parameters detected by the physiological and biochemical content measuring instrument to establish a mathematical estimation model. Among them, the use of visible light cameras to collect two-dimensional images has the advantages of low cost and easy acquisition, and is a commonly used method in the field of computer vision. Two-dimensional plant images can only be used for one-sided imaging analysis of plants. However, plants have complex spatial morphological structures, and there are obvious morphological structures and physio...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a visualization method for the three-dimensional spatial distribution of plant chlorophyll content based on point clouds for the above-mentioned deficiencies in the prior art. The problem existing in the extraction of phenotypic information is that it is impossible to measure the chlorophyll content in large quantities, quickly, accurately, and non-destructively, and realize the visualization of the three-dimensional spatial distribution of plant chlorophyll content, so as to intuitively observe the distribution of plant chlorophyll content

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