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Image-based plant root phenotype analysis method, system and device

A technology for plant root system and phenotype analysis, applied in the field of image processing, can solve problems such as the difficulty of topological structure analysis

Pending Publication Date: 2022-05-27
ZHEJIANG TUOPUYUN AGRI SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage is that modern analysis needs to understand the topological characteristics of the root system, such as the number of all roots in the root system, the length of each root, the root thickness of each root, etc., that is, it is necessary to analyze independent single roots. The difficulty lies in the relationship between different roots. There are intersections and overlaps, which make it extremely difficult to analyze the topology

Method used

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  • Image-based plant root phenotype analysis method, system and device
  • Image-based plant root phenotype analysis method, system and device
  • Image-based plant root phenotype analysis method, system and device

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Experimental program
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Effect test

Embodiment 1

[0064] An image-based method for plant root phenotyping, such as figure 1 shown, including the following steps:

[0065] S100, obtaining an original plant root image and performing correction processing in combination with four identifiers to obtain a corrected plant root image, wherein the four identifiers are at four corners of the original plant root image;

[0066] S200. Preprocess the corrected plant root image to obtain a root binary image that only includes the root region, and obtain the plant root skeleton topology based on the root binary image;

[0067] S300, based on the topological structure of the plant root skeleton, perform end point and intersection point detection respectively, and obtain the end point set, the intersection point set and the segment Array set, wherein, each segment element in the segment Array set is the starting point of the plant root skeleton topology structure with the end point or the intersection point as the starting point and a segme...

Embodiment 2

[0202] An image-based plant root phenotyping system such as figure 2 As shown, it includes an image acquisition processing module 100, an image preprocessing module 200, a detection and segmentation module 300, a connectivity graph construction module 400, a main root information acquisition module 500, and a lateral root information acquisition module 600;

[0203]The image acquisition processing module 100 acquires an original plant root image and performs correction processing in combination with four identifiers to obtain a corrected plant root image, wherein the four identifiers are at four corners of the original plant root image;

[0204] The image preprocessing module 200 preprocesses the corrected plant root image, obtains a root binary map including only the root region, and obtains the plant root skeleton topology based on the root binary map;

[0205] The detection and segmentation module 300, based on the topological structure of the plant root skeleton, performs...

Embodiment 3

[0211] A computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following method steps are implemented:

[0212] S100, obtaining an original plant root image and performing correction processing in combination with four identifiers to obtain a corrected plant root image, wherein the four identifiers are at four corners of the original plant root image;

[0213] S200. Preprocess the corrected plant root image to obtain a root binary image that only includes the root region, and obtain the plant root skeleton topology based on the root binary image;

[0214] S300, based on the topological structure of the plant root skeleton, perform end point and intersection point detection respectively, and obtain the end point set, the intersection point set and the segment Array set, wherein, each segment element in the segment Array set is the starting point of the plant root skeleton to...

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Abstract

The invention discloses an image-based plant root system phenotype analysis method, system and device, and the method comprises the steps: obtaining an original plant root system image, and carrying out the correction processing through combining four identifiers, and obtaining a corrected plant root system image; performing preprocessing to obtain a root system binary image, and obtaining plant root system skeleton information based on the root system binary image; respectively detecting end points and intersection points to obtain an end point set, an intersection point set and a segment Array set; constructing a connected graph; according to a single-source path search algorithm, traversing any two end points in the connected graph to obtain a first path and main root phenotypic information; and according to a smoothness principle, recursively obtaining a lateral root topological structure and a corresponding level. According to the method, the defects of high subjectivity and low efficiency in the measurement process of a traditional measurement method are overcome, the plant root phenotypic parameters can be rapidly and accurately measured, the measurement requirements of research objects on the tobacco seedling phenotypic parameters are met, and data reference can be provided for root phenotypic research.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method, system and device for analyzing plant root phenotypes based on computer vision. Background technique [0002] In the prior art, rice roots are segmented based on image processing technology to extract root color features, divergence features, etc., but only global analysis can be performed, and individual branch roots cannot be analyzed. Or extract rice roots through adaptive threshold segmentation and morphological transformation, especially using a special morphological transformation to remove burrs and fractures generated during the segmentation process, providing segmentation ideas for subsequent researchers to study the root topology. The disadvantage is that the small roots cannot be retained, and the author does not provide further research ideas for root topology analysis. Others provided a survey of existing root contact observation and non-contact i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187G06T5/50G06T5/20G06T5/00
CPCG06T7/0002G06T7/187G06T5/50G06T5/20G06T7/11G06T2207/20221G06T2207/20028G06T2207/20132G06T5/70
Inventor 朱旭华陈渝阳王闯刘荣利
Owner ZHEJIANG TUOPUYUN AGRI SCI & TECH CO LTD