CN110660127B - Method for constructing medlar fruit phenotype group database based on three-dimensional point cloud scanning technology - Google Patents

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

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CN110660127B
CN110660127B CN201910899378.2A CN201910899378A CN110660127B CN 110660127 B CN110660127 B CN 110660127B CN 201910899378 A CN201910899378 A CN 201910899378A CN 110660127 B CN110660127 B CN 110660127B
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scanning
medlar
data
wolfberry
point cloud
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CN110660127A (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 medlar 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 medlar fruit phenotype group database based on the three-dimensional point cloud scanning technology comprises the following steps: a. screening medlar: the scanner screens the medlar fruits which accord with the characteristics of the variety and have obvious characteristics and no plant diseases and insect pests; b. scanning wolfberry: 1) Taking complete mature matrimony vine and mature matrimony vine section as scanning objects, and scanning indoors; 2) An OKIO-5M scanner is assembled, the scanning precision is 0.03mm, the scanning range is 3mm-400mm, the OKIO-5M scanner is calibrated by using a 2390 calibration plate, and the calibration work is carried out according to the operation specified by software until the calibration is successful. By the three-dimensional point cloud scanning technology, the surface area and volume of the mature Chinese wolfberry can be accurately measured, the internal characteristics of fruits such as the length, the width and the pulp thickness of the central axis can be measured in batches, the data of the Chinese wolfberry fruit phenotype group can be measured in batches, the labor is saved, and the error is reduced.

Description

Method for constructing medlar 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 medlar fruit phenotype group database based on the three-dimensional point cloud scanning technology.
Background
The medlar is a perennial fallen leaf shrub of Solanaceae, three varieties exist at present, and different types of fruit branches of the medlar lead to the fruit maturity of the medlar to be different from that of other perennial plants. The amount of the two-year branch fruits of the medlar is relatively concentrated, and the amount of the one-year branch fruits is relatively concentrated in the same batch. The basic data of fruit commodity quality and fruit growth and development model construction 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 figure index of the Chinese wolfberry fruit is described simply, the morphological characteristics of the Chinese wolfberry fruit cannot be described accurately, and the method brings great obstacle to the deep mining of later data and the acquisition of the Chinese wolfberry phenotype group data.
The plant phenotype refers to the expression characteristics of the plant determined or influenced by the plant itself and the external environment, and reflects the growth and development process, genetic characteristics, physiological and biochemical characteristics and the like of the plant. Plant phenotype research is mainly to quantitatively analyze genotype and environmental interaction effects and the influence of the genotype and the environmental interaction effects on main characters related to yield, quality, stress resistance and the like by acquiring high-quality and repeatable character data.
Along with the application development of computer technology in the agricultural field and the demands of digitization and visualization of crop research, the high-precision measurement of phenotype parameters and analysis of morphological structures in calculation are the problems which are urgently needed to be solved in modern agricultural research. The three-dimensional scanning technology can rapidly and accurately acquire the point cloud information on the surface of the plant, acquire the three-dimensional data of the plant, and lay a foundation for researching and predicting the growth of the medlar, so that the three-dimensional scanning technology occupies a very important position in the phenotype research process.
At present, the phenotype information collection of the wolfberry fruits mainly depends on manual work, the aspect ratio of the wolfberry is measured by utilizing a vernier caliper, the aspect ratio of the wolfberry is estimated, the shape index of the wolfberry is determined, and the defects of the prior art measuring method mainly appear in that: firstly, the efficiency is low, and sufficient phenotype information cannot be obtained in a short time; secondly, human errors cannot be overcome, and the accuracy of measured data is not high; thirdly, the three-dimensional property is lacking, and the measurement, analysis and observation cannot be performed at multiple angles; fourth, the internal structure cannot be effectively described.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a method for constructing a medlar fruit phenotype group database based on a three-dimensional point cloud scanning technology, which solves the problems.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method for constructing a medlar fruit phenotype group database based on a three-dimensional point cloud scanning technology comprises the following steps:
s1, scanning step
a. Screening medlar:
the scanner screens the medlar fruits which accord with the characteristics of the variety and have obvious characteristics and no plant diseases and insect pests;
b. scanning wolfberry:
1) Taking complete mature matrimony vine and mature matrimony vine section 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, and the OKIO-5M scanner is calibrated by using a 2390 calibration plate, and the calibration work is performed according to the operation specified by software until the calibration is successful;
3) Spraying a developing agent DPT-5 on the screened sample, pasting a mark point on a turntable, and fixing the sample on the turntable with the marked point by using plasticine;
4) Using 3DScan-OKIO software to perform preliminary integral scanning, rotating a turntable for about 6 times according to 30 DEG rotation to obtain medlar complete point cloud data, removing surrounding miscellaneous points for observation, scanning the detail part which is not scanned again, adopting a multi-step scanning method, supplementing all the data which can be scanned, splicing and combining the data to obtain triangular patch data, introducing the obtained patch data into a Geomagic Wrap for processing until the surface of the patch is smooth and has no broken holes, and introducing the patch data into Geomagic design X for entity creation after the data processing;
5) Creating an engineering drawing:
i) Making a medlar catalogue engineering drawing: creating a project drawing in Unigraphics NX, constructing a detail column by using wolfberry STP data, wherein the detail column comprises serial numbers, numbers and codes, manufacturing a grid of 31 x 22.5 in the drawing, marking the sequence, respectively opening entity data obtained by Geomagic design X processing in Unigraphics NX according to the detail column, and placing a fruit orthographic view according to the sequence;
ii) preparing a section view: opening a complete wolfberry STP format file in Unigraphics NX, creating an engineering drawing, and placing two basic views and five projection views, wherein one basic view is used for marking the length and the width of wolfberry; the other basic view and the five projection views are used for manufacturing a cross-sectional view, and the manufactured five cross-sectional views are respectively marked with two dimensions of length and width;
iii) Making a Chinese wolfberry transverse cutting chart: creating a new engineering drawing in Unigraphics NX, making detail columns by using transverse cutting wolfberry STP, drawing a grid of 13.66 x 22 and marking the sequence, opening wolfberry transverse cutting attempts according to the detail columns respectively, and placing wolfberry transverse cutting basic views according to the sequence number; marking two sizes of length and width of the internal structure of the medlar in each view;
iii) making a vertical cut chart of medlar: the method is the same as the transverse cutting method; grid dimensions 35 x 25, three items are noted in total for the size label: marking the length and width of the inner structure and the thickness of the outer structure respectively;
c. measuring the length, width, surface area and volume of the complete medlar:
opening the entity model which is aligned in Geomagic design X by using Geomagic Wrap, and loading STP data into STL data, measuring length and width, volume and surface area data respectively, and recording;
s2, measuring result
a. Preparing a medlar engineering drawing;
b. making a longitudinal section result graph;
c. and (5) making a cross section result graph.
Working principle:
1. constructing a three-dimensional model of the mature 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 geomagicwrap software, and packaging to obtain triangular patch STL data; reverse modeling is performed by using STL data through geomagicdesign, countless triangular patches (about 20-thousand patches) are linked into a closed entity, the entity STP data is finally obtained, finally, the triangular patches are reasonably divided into about 50 fields to generate large patches, and the large patches are stitched to generate an entity model.
2. The accurate determination method of the surface area and the volume of the fruit comprises the following steps:
STL data consisting of countless triangular patches with different specifications are utilized, and the surface area and the volume of the fruit are obtained by measuring by geomagicwrap, wherein the area of the STL data is the sum of countless triangular areas of the STL data.
3. Dividing threshold points in the process of collecting the phenotype data of the medlar fruits:
after measuring the longitudinal diameter of the whole fruit, five equal parts of the fruit are subjected to five-section data to obtain the lengths and widths of different positions of the mature fruit.
4. The information of the medlar fruits is obtained through a three-dimensional point cloud scanning technology, and medlar fruit phenotype group data sets and databases are constructed:
scanning mature matrimony vine of different varieties (lines) to obtain a three-dimensional structure diagram, dividing the longitudinal diameter of the matrimony vine into countless equal parts, obtaining a large amount of cross-section data of the matrimony vine, continuously analyzing and accumulating the data to construct a database of mature fruits of different germplasm of the matrimony vine, inquiring key characteristics of the matrimony vine in the mature period, and providing data reference for cultivation management of different matrimony vine varieties (lines).
Through the scanning of the medlar profile, the medlar center axis and the pulp length and width thereof are directly measured, the internal structural characteristics of the medlar are more intuitively and accurately described, the information quantity of medlar fruits is further supplemented, and a material foundation is laid for revealing the medlar phenotype group characteristics.
(III) beneficial effects
The invention provides a method for constructing a medlar fruit phenotype group database based on a three-dimensional point cloud scanning technology. The beneficial effects are as follows:
1. the method for constructing the medlar fruit phenotype group database based on the three-dimensional point cloud scanning technology can be used for measuring medlar fruit phenotype group data in batches, so that labor is saved, and errors are reduced.
2. The method for constructing the medlar 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 medlar fruit phenotype group database based on the three-dimensional point cloud scanning technology precisely determines the surface area and volume of the ripe medlar by the three-dimensional point cloud scanning technology, and the internal characteristics of the medlar such as the length, the width and the pulp thickness of the medial axis.
4. According to the method for constructing the medlar fruit phenotype group database based on the three-dimensional point cloud scanning technology, a mature medlar fruit three-dimensional model is constructed, and the fruit phenotype group database can be obtained.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic diagram of a scanned fructus Lycii structure according to the present invention;
FIG. 3 is a schematic longitudinal cross-sectional view of a scanned wolfberry fruit of the present invention;
FIG. 4 is a schematic cross-sectional view of a scanned wolfberry of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
as shown in fig. 1-4, the embodiment of the invention provides a method for constructing a medlar fruit phenotype group database based on a three-dimensional point cloud scanning technology, which comprises the following steps:
s1, scanning step
a. Screening medlar:
the scanner screens the medlar fruits which accord with the characteristics of the variety (line) and have obvious characteristics and no plant diseases and insect pests;
b. scanning wolfberry:
1) Taking complete mature matrimony vine and mature matrimony vine section 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, and the OKIO-5M scanner is calibrated by using a 2390 calibration plate, and the calibration work is performed according to the operation specified by software until the calibration is successful;
3) Spraying a developing agent DPT-5 on the screened sample, pasting a mark point on a turntable, and fixing the sample on the turntable with the marked point by using plasticine;
4) Using 3DScan-OKIO software to perform preliminary integral scanning, rotating a turntable for about 6 times according to 30 DEG rotation to obtain medlar complete point cloud data, removing surrounding miscellaneous points for observation, scanning the detail part which is not scanned again, adopting a multi-step scanning method, supplementing all the data which can be scanned, splicing and combining the data to obtain triangular patch data, introducing the obtained patch data into a Geomagic Wrap for processing until the surface of the patch is smooth and has no broken holes, and introducing the patch data into Geomagic design X for entity creation after the data processing;
5) Creating an engineering drawing:
i) Making a medlar catalogue engineering drawing: creating a project drawing in Unigraphics NX, constructing a detail column by using wolfberry STP data, wherein the detail column comprises serial numbers, numbers and codes, manufacturing a grid of 31 x 22.5 in the drawing, marking the sequence, respectively opening entity data obtained by Geomagic design X processing in Unigraphics NX according to the detail column, and placing a fruit orthographic view according to the sequence;
ii) preparing a section view: opening a complete wolfberry STP format file in Unigraphics NX, creating an engineering drawing, and placing two basic views (front view) and five projection views (overlook), wherein one basic view is used for marking the length and the width of wolfberry; the other basic view and the five projection views are used for manufacturing a cross-sectional view, and the manufactured five cross-sectional views are respectively marked with two dimensions of length and width;
iii) Making a Chinese wolfberry transverse cutting chart: creating a new engineering drawing in Unigraphics NX, making detail columns by using transverse cutting wolfberry STP, drawing a grid of 13.66 x 22 and marking the sequence, opening wolfberry transverse cutting attempts according to the detail columns respectively, and placing wolfberry transverse cutting basic views (section view angles) according to the sequence numbers; marking two sizes of length and width of the internal structure of the medlar in each view;
iii) making a vertical cut chart of medlar: the method is the same as the transverse cutting method; grid dimensions 35 x 25, three items are noted in total for the size label: marking the length and width of the inner structure and the thickness of the outer structure respectively;
c. measuring the length, width, surface area and volume of the complete medlar:
opening the entity model which is aligned in Geomagic design X by using Geomagic Wrap, and loading STP data into STL data, measuring length and width, volume and surface area data respectively, and recording;
s2, measuring result
a. Preparing a medlar engineering drawing;
b. making a longitudinal section result graph;
c. and (5) making a cross section result graph.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein 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 medlar 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 medlar fruit phenotype group database based on the three-dimensional point cloud scanning technology comprises the following steps:
s1, scanning step
a. Screening medlar:
the scanner screens the medlar fruits which accord with the characteristics of the variety and have obvious characteristics and no plant diseases and insect pests;
b. scanning wolfberry:
1) Taking complete mature matrimony vine and mature matrimony vine section 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, and the OKIO-5M scanner is calibrated by using a 2390 calibration plate, and the calibration work is performed according to the operation specified by software until the calibration is successful;
3) Spraying a developing agent DPT-5 on the screened sample, pasting a mark point on a turntable, and fixing the sample on the turntable with the marked point by using plasticine;
4) Using 3DScan-OKIO software to perform preliminary integral scanning, rotating a turntable for about 6 times according to 30 DEG rotation to obtain medlar complete point cloud data, removing surrounding miscellaneous points for observation, scanning the detail part which is not scanned again, adopting a multi-step scanning method, supplementing all the data which can be scanned, splicing and combining the data to obtain triangular patch data, introducing the obtained patch data into a Geomagic Wrap for processing until the surface of the patch is smooth and has no broken holes, and introducing the patch data into Geomagic design X for entity creation after the data processing;
5) Creating an engineering drawing:
i) Making a medlar catalogue engineering drawing: creating a project drawing in Unigraphics NX, constructing a detail column by using wolfberry STP data, wherein the detail column comprises serial numbers, numbers and codes, manufacturing a grid of 31 x 22.5 in the drawing, marking the sequence, respectively opening entity data obtained by Geomagic design X processing in Unigraphics NX according to the detail column, and placing a fruit orthographic view according to the sequence;
ii) preparing a section view: opening a complete wolfberry STP format file in Unigraphics NX, creating an engineering drawing, and placing two basic views and five projection views, wherein one basic view is used for marking the length and the width of wolfberry; the other basic view and the five projection views are used for manufacturing a cross-sectional view, and the manufactured five cross-sectional views are respectively marked with two dimensions of length and width;
iii) Making a Chinese wolfberry transverse cutting chart: creating a new engineering drawing in Unigraphics NX, making detail columns by using transverse cutting wolfberry STP, drawing a grid of 13.66 x 22 and marking the sequence, opening wolfberry transverse cutting attempts according to the detail columns respectively, and placing wolfberry transverse cutting basic views according to the sequence number; marking two sizes of length and width of the internal structure of the medlar in each view;
iii) making a vertical cut chart of medlar: the method is the same as the transverse cutting method; grid dimensions 35 x 25, three items are noted in total for the size label: marking the length and width of the inner structure and the thickness of the outer structure respectively;
c. measuring the length, width, surface area and volume of the complete medlar:
opening the entity model which is aligned in Geomagic design X by using Geomagic Wrap, and loading STP data into STL data, measuring length and width, volume and surface area data respectively, and recording;
s2, measuring result
a. Preparing a medlar engineering drawing;
b. making a longitudinal section result graph;
c. and (5) making a cross section result graph.
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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