Plant growth measurement method and system based on image similarity calculation and electronic equipment

Abstract

The invention relates to a plant growth measurement method and system based on image similarity calculation and electronic equipment. The plant growth measurement method comprises the following steps:carrying out image preprocessing on all tracking block diagrams and corresponding to-be-selected block diagrams by adopting an edge distance histogram algorithm, and obtaining a most relevant block diagram from the to-be-selected block diagrams corresponding to each tracking block diagram in combination with image similarity calculation; storing the most relevant point corresponding to each tracking point in the most relevant block diagram and relevant parameters of the most relevant point; and circularly traversing N plant seedling images in the time sequence image set to obtain a group of new time sequence images containing tracking points, and taking the positions of the tracking points in the new time sequence images as growth tracking measurement results of the plant seedlings. The plant growth measurement method solves the problem of image angle rotation caused by bending in the plant growth process and the problem of correlation confusion of multiple to-be-selected block diagrams, and realizes accurate tracking of the plant growth time sequence image.

Description

technical field [0001] The application belongs to the technical field of plant biology, and in particular relates to a plant growth measurement method, system and electronic equipment based on image similarity calculation. Background technique [0002] Studying the response of plant organs to the environment such as hormones, nutrients, and natural conditions is conducive to artificial regulation and better cultivation of ideal plants. People hope to quantify the growth of plant organs, understand the details of organ development, and better measure the relationship between plant growth and environment. Understanding the molecular processes underlying plant organ growth is a major challenge in plant biology. [0003] The growth status of plants can be understood by quantifying the trajectory of plant growth, and kinematic analysis is an important method to study the growth status of plants and the temporal and spatial distribution of growth curves. As early as in the 1950s...

AI Technical Summary

Problems solved by technology

In current applications, the algorithm for calculating similarity is mainly the maximum correlation coefficient search algorithm. This algorithm is simple and efficient, but it is prone to misidentification for pixel blocks with small differences in image patterns. It is not suitable for use when the pattern is not obvious or there is only one pattern Nuance on the image

During the growth process, plants will bend and rotate at an angle, which makes tracking more difficult. However, many existing image similarity calculation methods applied to plant growth analysis do not consider the rotation problem, resulting in poor image tracking accuracy. not tall

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