Plant three-dimensional measurement method and system based on cloud mirror photography system parameters and video frames

Abstract

The invention relates to the field of digital image measurement, and proposes a plant three-dimensional measurement method and system based on cloud mirror camera system parameters and video frames. The method includes: S1 cloud mirror camera system parameter calibration: axial image distance, image space object space corresponding coefficient, image movement rate pitch value fitting equation and coefficient. S2 Image point registration model of the same name: inter-frame image vector conversion model, optical axis motion vector, two-dimensional registration matrix of the image point of the same name and differential optimization verification. S3 point cloud world coordinate algorithm: three-dimensional transformation matrix of the same name image point, inter-frame dual optical system vector projection relationship model, cloud mirror camera system motion vector measurement model, three-dimensional point cloud coordinate acquisition, grayscale material correction factor. S4 Plant local measurement method. The system includes: S1 cloud camera system parameter acquisition module; S2 image point registration module with the same name; S3 three-dimensional measurement module; S4 plant local measurement module. Compared with other digital mapping technologies, there is no need for object space control points, strong environmental adaptability, high equipment compatibility, and reduced costs.

Description

technical field [0001] The invention relates to the technical field of digital image measurement, in particular to a plant three-dimensional measurement method and system based on cloud mirror camera system parameters and video frames. Background technique [0002] At present, agricultural digital production management is an important content of agricultural informatization. Leaf is an important organ for plant to produce nutrients and is the basis of plant growth and fruiting; fruit is an important functional organ of plant; stem is an important nutrient conduction organ of plant. Therefore, it is of great significance to realize the digital management of agriculture by obtaining the characteristic parameters of the fruit, leaf and stem of field plants in real time and judging the growth status of plants. [0003] With the development of the Internet of Things technology, the acquisition and application of digital images has also received great attention and considerable d...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to use common CCD and CMOS sensors with low cost, strong environmental adaptability and high equipment compatibility, and without the need for object control points, to measure the technology and methods of plant fruit, leaf and stem under the natural light environment of the greenhouse. method to overcome some application deficiencies of high-precision and high-cost equipment

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