A method for detecting Arabidopsis profile phenotypes

Abstract

A method for detecting the outline phenotype of Arabidopsis thaliana, the method specifically includes: placing a calibration plate in a planting pot of Arabidopsis thaliana, and using a camera to collect RGB images of Arabidopsis thaliana; preprocessing the collected images to realize Automatic correction and calibration of images, in which image correction is to correct the distortion of the image, and image calibration is to obtain the true size of the unit pixel; segment the preprocessed image, segment Arabidopsis and the background, and extract it from the image ; After the Arabidopsis image is segmented, the profile phenotype parameters of Arabidopsis are extracted, and the overall profile is quantitatively described by the elliptical Fourier descriptor. Through the analysis of the overall profile phenotypic parameters, the differences in the overall profile morphology and growth orientation of Arabidopsis thaliana with different genes can be described, so that the functions of different genes and their impact on Arabidopsis plants can be deduced.

Description

technical field [0001] The invention relates to a method for detecting the outline phenotype of Arabidopsis thaliana, which uses a camera to collect pictures of Arabidopsis thaliana, uses an image processing method to extract the profile phenotype parameters of Arabidopsis thaliana, and realizes the non-destructive detection of the growth process of Arabidopsis thaliana . Background technique [0002] Arabidopsis is an important model plant in botany, genetics and genetics. The research on Arabidopsis phenotype can comprehensively and thoroughly clarify the physiological function of Arabidopsis thaliana, especially the relationship between its phenotype and its genes, and the influence of different environmental conditions on its growth. The detection methods of plant phenotypic characteristics include destructive measurement, contact measurement and computer vision detection methods. Destructive measurement is to randomly select a certain number of plants for a batch of p...

AI Technical Summary

Problems solved by technology

[0004] 1. The use of destructive measurement methods will cause damage to plants, and the continuous measurement of plant growth cannot be performed

[0005] 2. The use of sensors for measurement and direct contact with plants will have a certain impact on the growth of plants, and its cost is high, and its development is relatively difficult

[0006] 3. The existing computer vision technology mainly focuses on the phenotype detection of a single leaf or other crops, while the phenotype detection of Arabidopsis mainly relies on manual implementation, which has a large workload and low efficiency

[0007] At present, there are few literature reports on computer vision detection of Arabidopsis phenotypes at home and abroad.

Images