CN110660127A - Method for constructing wolfberry fruit phenotype group database based on three-dimensional point cloud scanning technology - Google Patents

Method for constructing wolfberry fruit phenotype group database based on three-dimensional point cloud scanning technology Download PDF

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CN110660127A
CN110660127A CN201910899378.2A CN201910899378A CN110660127A CN 110660127 A CN110660127 A CN 110660127A CN 201910899378 A CN201910899378 A CN 201910899378A CN 110660127 A CN110660127 A CN 110660127A
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scanning
medlar
wolfberry
data
point cloud
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CN110660127B (en
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戴国礼
张波
何昕孺
黄婷
周旋
段淋渊
秦垦
焦恩宁
高燕
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Institute of Wolfberry Engineering Technology of Ningxia Academy of Agricultural and Forestry Sciences
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/28Measuring arrangements characterised by the use of optical techniques for measuring areas
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N2021/8466Investigation of vegetal material, e.g. leaves, plants, fruits
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • G06T2200/08Indexing scheme for image data processing or generation, in general involving all processing steps from image acquisition to 3D model generation

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Abstract

The invention provides a method for constructing a wolfberry fruit phenotype group database based on a three-dimensional point cloud scanning technology, and relates to the technical field of three-dimensional point cloud scanning. The method for constructing the wolfberry fruit phenotype group database based on the three-dimensional point cloud scanning technology comprises the following steps of: a. screening the medlar: the scanning personnel screens the Chinese wolfberry fruits which accord with the characteristics of the variety of the Chinese wolfberry and have obvious characteristics without diseases and insect pests; b. wolfberry scanning: 1) taking the complete mature medlar and the profile of the mature medlar as scanning objects, and scanning indoors; 2) assembling an OKIO-5M scanner, wherein the scanning precision is 0.03mm, the scanning range is 3mm-400mm, calibrating the OKIO-5M scanner by using a 2390 calibration plate, and calibrating according to the operation specified by software until the calibration is successful. The surface area and the volume of the mature medlar and the internal characteristics of the medlar such as the length, the width and the pulp thickness of a central axis can be accurately measured by a three-dimensional point cloud scanning technology, the medlar fruit phenotype group data can be measured in batches, the labor is saved, and the error is reduced.

Description

Method for constructing wolfberry fruit phenotype group database based on three-dimensional point cloud scanning technology
Technical Field
The invention relates to the technical field of three-dimensional point cloud scanning, in particular to a method for constructing a wolfberry fruit phenotype group database based on a three-dimensional point cloud scanning technology.
Background
Medlar is perennial deciduous shrub of solanaceae, and at present, there are three seven varieties, namely different types of bearing branches of medlar, so that the fruit maturity of the medlar is different from that of other perennial plants. The amount of fruits and flowers of biennial branches of the medlar is relatively centralized, and the amount of fruits and flowers of annual branches is relatively centralized in the same batch. The basic data constructed by the fruit commodity quality and fruit growth and development model are mainly collected manually in a short time, so that the problems of large sample size, large human error, small data size and the like exist, the Chinese wolfberry fruit shape index is described more simply, the Chinese wolfberry fruit shape characteristics cannot be accurately described, and great obstacles are brought to deep mining of later data and acquisition of Chinese wolfberry phenotypic group data.
The plant phenotype refers to the expression characteristics of the plant determined or influenced by the plant and the external environment, and reflects the growth and development process, the genetic characteristics, the physiological and biochemical characteristics and the like of the plant. The plant phenotype research is mainly to quantitatively analyze the genotype and the environmental interaction effect and the influence thereof on the main traits related to yield, quality, stress resistance and the like by acquiring high-quality and repeatable trait data.
With the application development of computer technology in the agricultural field and the requirements of crop research on digitization and visualization, the problems of high-precision measurement of phenotypic parameters and morphological structure analysis on calculation are urgently needed to be solved by modern agricultural research. The three-dimensional scanning technology can rapidly and accurately acquire the point cloud information on the surface of the plant to acquire the three-dimensional data of the plant, and lays a foundation for researching and predicting the growth of the medlar, so that the three-dimensional scanning technology occupies an important position in the process of phenotype research.
At present, medlar fruit phenotype information acquisition mainly depends on manpower, medlar longitudinal and transverse diameters are measured by using a vernier caliper, the medlar aspect ratio is estimated, and a medlar fruit shape index is determined, wherein the defects of the prior art measuring method are mainly shown as follows: firstly, the efficiency is low, and sufficient phenotype information cannot be acquired in a short time; secondly, human errors cannot be overcome, and the precision of measured data is not high; thirdly, the three-dimensional property is lacked, and the measurement, analysis and observation can not be carried out at multiple angles; fourth, the internal structure cannot be described effectively.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method for constructing a wolfberry fruit phenotype group database based on a three-dimensional point cloud scanning technology, and solves the existing problems.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the method for constructing the wolfberry fruit phenotype group database based on the three-dimensional point cloud scanning technology comprises the following steps:
s1, scanning step
a. Screening the medlar:
the scanning personnel screens the Chinese wolfberry fruits which accord with the characteristics of the variety of the Chinese wolfberry and have obvious characteristics without diseases and insect pests;
b. wolfberry scanning:
1) taking the complete mature medlar and the profile of the mature medlar as scanning objects, and scanning indoors;
2) assembling an OKIO-5M scanner, wherein the scanning precision is 0.03mm, the scanning range is 3mm-400mm, calibrating the OKIO-5M scanner by using a 2390 calibration plate, and calibrating according to the specified operation of software until the calibration is successful;
3) spraying a developer DPT-5 on the screened sample, pasting a mark point on a turntable, and fixing the sample on the turntable pasted with the mark point by plasticine;
4) using 3DScan-OKIO software, rotating a turntable to perform initial integral scanning, rotating the turntable for about 6 times according to 30 degrees of one-time rotation to obtain wolfberry complete point cloud data, removing surrounding miscellaneous points for observation, scanning un-scanned detail parts again, adopting a multi-step scanning method to complement all data which can be scanned, splicing and combining the data to obtain triangular patch data, introducing the obtained patch data into GeomagicWrap for processing until the surface of the patch is smooth and has no broken holes, and introducing the processed patch data into GeomagicDesignX for entity creation after data processing;
5) creating an engineering drawing:
i) making a medlar catalogue engineering drawing: building a new engineering drawing in Unigraphics NX, constructing a detail column by using STP data of medlar, wherein the detail column comprises serial numbers, quantity and codes, manufacturing a 31 x 22.5 grid in the drawing and marking the grid, respectively opening entity data obtained by GeomagicDesignX processing in the Unigraphics NX according to the detail column, and placing a fruit orthographic projection view according to the serial numbers;
ii) preparing a section diagram: opening a complete wolfberry STP format file in UnigraphicnX, creating a new engineering drawing, and placing two basic views and five projection views, wherein one basic view is used for marking two sizes of the length and the width of the wolfberry; the other basic view and the five projection views are used for manufacturing sectional views, and the manufactured five sectional views are marked with two dimensions of length and width;
iii) making a wolfberry transverse cutting chart: newly building a project diagram in UnigraphicnX, making a detail column between transverse cutting medlar STP, drawing a 13.66X 22 grid and marking the sequence, respectively opening a medlar transverse cutting attempt according to the detail column, and placing a medlar transverse cutting basic view according to the sequence number; marking the length and the width of the internal structure of the Chinese wolfberry in each view;
iiii) making a wolfberry vertical cutting chart: the method is the same as the transverse cutting method; grid size 35 × 25, the dimensioning totally marks three items: respectively marking the length and width of the internal structure and the thickness of the external structure;
c. measuring the length, width, surface area and volume of the whole medlar:
opening the entity model aligned in the GeomagicDesignX by using GeomagicWrap, converting STP data into STL data, and respectively measuring and recording length, width, volume and surface area data;
s2. measuring result
a. Making a medlar engineering drawing;
b. making a longitudinal section result graph;
c. and (5) making a cross-sectional result picture.
The working principle is as follows:
1. constructing a three-dimensional model of the ripe fruits of the Chinese wolfberry:
in the process of constructing the entity three-dimensional model, scanning by using a scanner to obtain three-dimensional point cloud data, and screening out the point cloud data by removing miscellaneous points; processing the point cloud data by using a geomagicwrap software and then packaging to obtain triangular patch STL data; and performing reverse modeling by using STL data and utilizing geomagicdesign, linking a plurality of triangular patches (about 20 ten thousand patches) into a closed entity to finally obtain entity STP data, and finally, reasonably dividing the triangular patches into about 50 fields to generate large patches and sewing to generate a solid model.
2. The method for accurately measuring the surface area and the volume of the fruit comprises the following steps:
the surface area and volume of the fruit were obtained by geomagicwrap measurement using STL data consisting of numerous triangular patches of different specifications, with the area being the sum of the areas of their numerous triangles.
3. Dividing threshold points in the wolfberry fruit phenotype data acquisition process:
after the longitudinal diameter of the whole fruit is measured, five parts of the fruit are divided into five parts, five section data are obtained, and the length and the width of the mature fruit at different positions are obtained.
4. Acquiring medlar fruit information by a three-dimensional point cloud scanning technology, and constructing a medlar fruit phenotype group data set and a database:
scanning mature medlar of different varieties (lines) to obtain a three-dimensional structure chart of the mature medlar, dividing the longitudinal diameter of the medlar into countless equal parts, obtaining a large amount of section data of the medlar, continuously analyzing and accumulating the data to construct a database of mature fruits of different germplasms of the medlar, inquiring key characteristics of the medlar in the maturation period from the database, and aiming at providing data reference for the cultivation management of different medlar varieties (lines).
Through wolfberry section scanning, the wolfberry central axis, the length and the width of the pulp of the wolfberry central axis are directly measured, the internal structural characteristics of the wolfberry are described more visually and accurately, the wolfberry fruit information content is further supplemented, and a material foundation is laid for revealing the wolfberry phenotype group characteristics.
(III) advantageous effects
The invention provides a method for constructing a wolfberry fruit phenotype group database based on a three-dimensional point cloud scanning technology. The method has the following beneficial effects:
1. the method for constructing the wolfberry fruit phenotypic group data base based on the three-dimensional point cloud scanning technology can measure wolfberry fruit phenotypic group data in batches, saves labor and reduces errors.
2. The method for constructing the wolfberry fruit phenotype group database based on the three-dimensional point cloud scanning technology accurately determines maturity through section scanning.
3. The method for constructing the wolfberry fruit phenotype group database based on the three-dimensional point cloud scanning technology accurately measures the surface area and the volume of mature wolfberries, and the internal characteristics of fruits such as the length, the width and the pulp thickness of a central axis.
4. According to the method for constructing the wolfberry fruit phenotypic group database based on the three-dimensional point cloud scanning technology, the fruit phenotypic group database can be obtained by constructing a mature wolfberry fruit three-dimensional model.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic view of a scanned wolfberry structure according to the present invention;
FIG. 3 is a schematic longitudinal cross-sectional view of a scanned wolfberry of the present invention;
fig. 4 is a schematic cross-sectional view of a scanned wolfberry of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1 to 4, an embodiment of the present invention provides a method for constructing a wolfberry fruit phenotype group database based on a three-dimensional point cloud scanning technology, including the following steps:
s1, scanning step
a. Screening the medlar:
the scanning personnel screen the medlar fruits which accord with the characteristics of the variety (line) and have obvious characteristics without diseases and insect pests;
b. wolfberry scanning:
1) taking the complete mature medlar and the profile of the mature medlar as scanning objects, and scanning indoors;
2) assembling an OKIO-5M scanner, wherein the scanning precision is 0.03mm, the scanning range is 3mm-400mm, calibrating the OKIO-5M scanner by using a 2390 calibration plate, and calibrating according to the specified operation of software until the calibration is successful;
3) spraying a developer DPT-5 on the screened sample, pasting a mark point on a turntable, and fixing the sample on the turntable pasted with the mark point by plasticine;
4) using 3DScan-OKIO software, rotating a turntable to perform initial integral scanning, rotating the turntable for about 6 times according to 30 degrees of one-time rotation to obtain wolfberry complete point cloud data, removing surrounding miscellaneous points for observation, scanning un-scanned detail parts again, adopting a multi-step scanning method to complement all data which can be scanned, splicing and combining the data to obtain triangular patch data, introducing the obtained patch data into GeomagicWrap for processing until the surface of the patch is smooth and has no broken holes, and introducing the processed patch data into GeomagicDesignX for entity creation after data processing;
5) creating an engineering drawing:
i) making a medlar catalogue engineering drawing: building a new engineering drawing in Unigraphics NX, constructing a detail column by using STP data of medlar, wherein the detail column comprises serial numbers, quantity and codes, manufacturing a 31 x 22.5 grid in the drawing and marking the grid, respectively opening entity data obtained by GeomagicDesignX processing in the Unigraphics NX according to the detail column, and placing a fruit orthographic projection view according to the serial numbers;
ii) preparing a section diagram: opening a complete wolfberry STP format file in UnigraphicnX, creating a new engineering drawing, and placing two basic views (front view) and five projection views (top view), wherein one basic view is used for marking two sizes of the length and the width of the wolfberry; the other basic view and the five projection views are used for manufacturing sectional views, and the manufactured five sectional views are marked with two dimensions of length and width;
iii) making a wolfberry transverse cutting chart: newly building a project diagram in UnigraphicnX, making a detail column between transverse cutting medlar STP, drawing a 13.66X 22 grid and marking the sequence, respectively opening a medlar transverse cutting attempt according to the detail column, and placing a medlar transverse cutting basic view (a section view angle) according to the sequence number; marking the length and the width of the internal structure of the Chinese wolfberry in each view;
iiii) making a wolfberry vertical cutting chart: the method is the same as the transverse cutting method; grid size 35 × 25, the dimensioning totally marks three items: respectively marking the length and width of the internal structure and the thickness of the external structure;
c. measuring the length, width, surface area and volume of the whole medlar:
opening the entity model aligned in the GeomagicDesignX by using GeomagicWrap, converting STP data into STL data, and respectively measuring and recording length, width, volume and surface area data;
s2. measuring result
a. Making a medlar engineering drawing;
b. making a longitudinal section result graph;
c. and (5) making a cross-sectional result picture.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (1)

1. The method for constructing the wolfberry fruit phenotype group database based on the three-dimensional point cloud scanning technology is characterized by comprising the following steps of: the method for constructing the wolfberry fruit phenotype group database based on the three-dimensional point cloud scanning technology comprises the following steps of:
s1, scanning step
a. Screening the medlar:
the scanning personnel screens the Chinese wolfberry fruits which accord with the characteristics of the variety of the Chinese wolfberry and have obvious characteristics without diseases and insect pests;
b. wolfberry scanning:
1) taking the complete mature medlar and the profile of the mature medlar as scanning objects, and scanning indoors;
2) assembling an OKIO-5M scanner, wherein the scanning precision is 0.03mm, the scanning range is 3mm-400mm, calibrating the OKIO-5M scanner by using a 2390 calibration plate, and calibrating according to the specified operation of software until the calibration is successful;
3) spraying a developer DPT-5 on the screened sample, pasting a mark point on a turntable, and fixing the sample on the turntable pasted with the mark point by plasticine;
4) using 3DScan-OKIO software, rotating a turntable to perform initial integral scanning, rotating the turntable for about 6 times according to 30 degrees of one-time rotation to obtain wolfberry complete point cloud data, removing surrounding miscellaneous points for observation, scanning un-scanned detail parts again, adopting a multi-step scanning method to complement all data which can be scanned, splicing and combining the data to obtain triangular patch data, introducing the obtained patch data into GeomagicWrap for processing until the surface of the patch is smooth and has no broken holes, and introducing the processed patch data into GeomagicDesignX for entity creation after data processing;
5) creating an engineering drawing:
i) making a medlar catalogue engineering drawing: building a new engineering drawing in Unigraphics NX, constructing a detail column by using STP data of medlar, wherein the detail column comprises serial numbers, quantity and codes, manufacturing a 31 x 22.5 grid in the drawing and marking the grid, respectively opening entity data obtained by GeomagicDesignX processing in the Unigraphics NX according to the detail column, and placing a fruit orthographic projection view according to the serial numbers;
ii) preparing a section diagram: opening a complete wolfberry STP format file in UnigraphicnX, creating a new engineering drawing, and placing two basic views and five projection views, wherein one basic view is used for marking two sizes of the length and the width of the wolfberry; the other basic view and the five projection views are used for manufacturing sectional views, and the manufactured five sectional views are marked with two dimensions of length and width;
iii) making a wolfberry transverse cutting chart: newly building a project diagram in UnigraphicnX, making a detail column between transverse cutting medlar STP, drawing a 13.66X 22 grid and marking the sequence, respectively opening a medlar transverse cutting attempt according to the detail column, and placing a medlar transverse cutting basic view according to the sequence number; marking the length and the width of the internal structure of the Chinese wolfberry in each view;
iiii) making a wolfberry vertical cutting chart: the method is the same as the transverse cutting method; grid size 35 × 25, the dimensioning totally marks three items: respectively marking the length and width of the internal structure and the thickness of the external structure;
c. measuring the length, width, surface area and volume of the whole medlar:
opening the entity model aligned in the GeomagicDesignX by using GeomagicWrap, converting STP data into STL data, and respectively measuring and recording length, width, volume and surface area data;
s2. measuring result
a. Making a medlar engineering drawing;
b. making a longitudinal section result graph;
c. and (5) making a cross-sectional result picture.
CN201910899378.2A 2019-09-23 2019-09-23 Method for constructing medlar fruit phenotype group database based on three-dimensional point cloud scanning technology Active CN110660127B (en)

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