CN106546568B - A kind of method and device obtaining plant three-dimensional chlorophyll fluorescence image information - Google Patents

A kind of method and device obtaining plant three-dimensional chlorophyll fluorescence image information Download PDF

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CN106546568B
CN106546568B CN201610930204.4A CN201610930204A CN106546568B CN 106546568 B CN106546568 B CN 106546568B CN 201610930204 A CN201610930204 A CN 201610930204A CN 106546568 B CN106546568 B CN 106546568B
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light
chlorophyll fluorescence
fluorescence image
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CN106546568A (en
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岑海燕
翁海勇
何勇
何木斌
姚洁妮
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Zhejiang University ZJU
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    • 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
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6486Measuring fluorescence of biological material, e.g. DNA, RNA, cells
    • 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
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/645Specially adapted constructive features of fluorimeters
    • G01N21/6456Spatial resolved fluorescence measurements; Imaging

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Abstract

The invention discloses a kind of method and devices for obtaining plant three-dimensional chlorophyll fluorescence image information, after wherein method is the following steps are included: treat measuring plants progress dark adaptation processing, under the induction of exciting light, the chlorophyll fluorescence image and gray level image information to measuring plants different angle are acquired;The chlorophyll fluorescence image and gray level image information to measuring plants of different angle acquisition are pre-processed to obtain chlorophyll fluorescence image and gray level image to be reconstructed;It is loaded into chlorophyll fluorescence image and gray level image to be reconstructed, treats measuring plants chlorophyll fluorescence image and gray level image reconstruct, three-dimensional fluorescence image is corrected using three dimensional grey scale image, obtains final three-dimensional chlorophyll fluorescence image.The present invention can not only obtain the chlorophyll fluorescence image of single blade, and the heterogeneity of photosynthesis of plant can be perceived from three-dimensional space degree.

Description

A kind of method and device obtaining plant three-dimensional chlorophyll fluorescence image information
Technical field
The present invention relates to plnat monitoring technical field more particularly to a kind of acquisition plant three-dimensional chlorophyll fluorescence image informations Method and device.
Background technique
One of the detection of plant physiology status information is had been a hot spot of research using non-destructive testing technology realization.At present Non-destructive testing technology mainly includes multispectral, high light spectrum image-forming technology, infrared thermal imaging technique and imaging-PAM skill Art etc..
Multispectral, high light spectrum image-forming technology is mainly the profile information for obtaining plant, from angular area spatially and spectrally Divide the plant of different growth conditions;Infrared thermal imaging technique generates plant tissue table by the temperature of acquisition plant tissue surface The temperature profile in face analyzes the temperature changing regularity in Plant Under The Stress tissue, believes to realize plant physiology state The detection of breath;And imaging-PAM technology is developed on the basis of chlorophyll fluorescence kinetics technology is increasingly mature Come.Imaging-PAM technology can reflect plant to the utilization power of luminous energy and be allowed to visualize, it is considered to be photosynthetic work Probe.Therefore, imaging-PAM technology is widely used in plant physiology state-detection field.
The Chinese invention patent document of Publication No. CN105548113A discloses one kind and is based on chlorophyll fluorescence and mostly light The plant physiology monitoring method of spectrogram picture, comprising the following steps: treat measuring plants and be modulated the detection of formula chlorophyll fluorescence, obtain Modulation system chlorophyll fluorescence characteristic parameter figure is joined according to the default chlorophyll fluorescence relevant to plant physiology situation of characteristic parameter figure Number;It treats measuring plants and carries out multispectral image measurement, it is more anti-than 500~515nm wave band to obtain 540~560nm wave band reflected intensity Penetrate the spectrum relative reflectance Parameter Map of intensity;Chlorophyll fluorescence parameters value and spectrum relative reflectance parameter to plant regional Figure is counted;The distribution curve of the chlorophyll fluorescence parameters value and spectral reflectivity parameter value that are obtained in conjunction with step, to plant Physiological status is judged.
The Chinese invention patent document of Publication No. CN104034710A discloses a kind of based on chlorophyll fluorescence and imaging The plant disease detection method and device of technology.The device is placed in lighting box, blue LED lamp as excitation light source, in etc. Side triangular structure is able to achieve the illumination of stable and uniform, for exciting the chlorophyll fluorescence of plant leaf blade, colored high speed camera and The adjustable preposition Red lightscreening plate of camera lens acquires chlorophyll fluorescence image for filtering interference light.Pass through image preprocessing, image Segmentation and feature extraction can obtain blade and background separation using main lobe arteries and veins as the pixel region of center position Subgraph, and the textural characteristics and vein characteristic parameter of blade are calculated, finally by classifier calculated, can be by plant classification Health and two class of disease.
The targeted plant to be measured of above-mentioned preparation method and device is in vitro blade, and acquired image is It is two-dimensional, only identify from health status of the angle of single blade to plant, analysis does not have generation to a certain extent Table.
Summary of the invention
The present invention provides a kind of method and devices for obtaining plant three-dimensional chlorophyll fluorescence image information, can not only obtain The chlorophyll fluorescence image of single blade is taken, and the heterogeneity of photosynthesis of plant can be perceived from three-dimensional space degree, together When can also obtain the biological natures such as plant type, blade shape and leaf area index, be conducive to establish plant-pest and disease damage in three-dimensional space On interactive information model, realize plant physiology state detection.
A method of obtaining plant three-dimensional chlorophyll fluorescence image information, which comprises the following steps:
(1) internal reference of camera is demarcated;
(2) it after treating measuring plants progress dark adaptation processing, under the induction of exciting light, acquires to measuring plants different angle Chlorophyll fluorescence image information.After chlorophyll fluorescence Image Acquisition is completed, actinic light is opened, acquires the gray scale under corresponding angle Image;
Adjacent angular has overlapping region;
(3) the chlorophyll fluorescence image and gray level image information to measuring plants of different angle acquisition pre-process To chlorophyll fluorescence image to be reconstructed and gray level image, comprising: the chlorophyll fluorescence of application image cutting techniques removal acquisition The background of image and gray level image judges the abnormal point on fluorescent image using the detection algorithm of unitary outlier, and Abnormal point is replaced using Lagrangian linear interpolation;
(4) it is loaded into chlorophyll fluorescence image and gray level image to be reconstructed, finds and schemes using Hariss Corner Detection Algorithm Characteristic point as in;The matching of two images characteristic point is realized using SIFT algorithm and to epipolar-line constraint;Utilize triangulation method meter Actual coordinate of the match point in world coordinate system is calculated, the chlorophyll fluorescence image and grayscale image of three-dimensional plant are respectively obtained Picture;Three-dimensional fluorescence image is corrected using three dimensional grey scale image, obtains final three-dimensional chlorophyll fluorescence image.
In step (1):
The method that the internal reference of camera is demarcated are as follows:
(1-1) opens actinic light, adjusts the position of CCD camera, shoots the two dimension ash of cube calibration object from different perspectives Image is spent, in the image clapped under each angle, cube demarcates object should be complete, and cube calibration object at least accounts for entire figure 60% or more of image planes product;
Shooting angle should be not less than 6, and the image of adjacent angular shooting should have reasonable overlapping region;
(1-2) obtains the world coordinate system of cube calibration object upper surface central point, and application Hariss Corner Detection is calculated Method finds the corresponding projected position in 2-D gray image of characteristic point on cube calibration object, calculates CCD by projection model The inside and outside parameter of camera.
The CCD camera image-forming principle meets pinhole camera model, the throwing of 2-D gray image and pinhole camera model Shadow relationship are as follows:
In formula, K1For the internal reference of camera, K2For space coordinate of the camera under world coordinates, [w z 1] is on two dimensional image Coordinate, R indicate rotation, T indicate displacement, [XrYrZrIt 1] is spatially coordinate.Therefore solve K1Then complete the internal reference mark of camera It is fixed.
In step (2):
Preferably, the angle is no less than 6, in the image acquired under each angle, the image to measuring plants is complete Whole and accounting for whole image area 60% or more.
The method for acquiring the chlorophyll fluorescence image and gray level image information to each angle of measuring plants are as follows:
Measurement light, the minimum fluorescent image Fo of acquisition and measurement light identical frequency are opened according to specific frequency;
Measurement light is closed, saturated light is opened, obtains maximum fluorescence image Fm;
Saturated light is closed, actinic light, chlorophyll fluorescence image when acquisition actinic light moment opens, i.e. Kausty effect are opened The maximum fluorescence image Fp answered;Obtain the maximum fluorescence image F of different phases under photopic conditionsm-LnAnd steady-state fluorescence Fss
Actinic light is closed, the maximum fluorescence image F of different phases under the conditions of dark relaxation is acquiredm-Dn
Chlorophyll fluorescence Image Acquisition is completed and then secondary opening actinic light, takes the gray level image Im under corresponding angle;
Wherein n=1~5.
In step (3):
The chlorophyll fluorescence image information to measuring plants of different angle acquisition is pre-processed to obtain leaf to be reconstructed Green element fluorescent image and gray level image.
Preferably, carrying out pretreated method to chlorophyll fluorescence image collected and gray level image: in Fp image On the basis of, exposure mask file is generated, background is removed;Using the detection algorithm of the unitary outlier based on normal distribution to target area The abnormal point in domain is judged that abnormal point passes through Lagrangian linear interpolation replacement, it may be assumed that
Obtain chlorophyll fluorescence image and gray level image to be reconstructed.
Preferably, the principle judged abnormal point are as follows: assuming that data fit normal distribution, when image to be reconstructed In the absolute value of the value mean μ that subtracts target area pixel of some pixel be more than 3 σ, then it is assumed that the pixel is exceptional value, That is:
|xi- μ | 3 σ of > (2)
In formula,
Preferably, chlorophyll fluorescence image to be reconstructed includes the fluorescence parameter for reflecting plant physiology:
Light quantum transfer efficiency
Non-photochemical quenching coefficient NPQn=Fm/Fm-n-1;
Photochemical quenching coefficient
Practical phosphorescent quantum yields
Wherein, FonFor the minimum fluorescence of different phases, Fm-n is Fm-LnOr Fm-Dn, n=1~5.
In step (4):
It is loaded into chlorophyll fluorescence image and gray level image to be reconstructed, treats the chlorophyll fluorescence image and gray scale of measuring plants Image is reconstructed, and corrects three-dimensional fluorescence image using three dimensional grey scale image, improves spatial resolution, obtain final three-dimensional leaf Green element fluorescent image.
The present invention also provides a kind of devices for obtaining plant three-dimensional chlorophyll fluorescence image information, comprising:
Camera bellows;
Rotating platform is mounted on the bottom of camera bellows, for support and selects to measuring plants;
Light source is mounted on the side wall of camera bellows, for emitting detection light to measuring plants;
Image capture module is mounted on the side wall of camera bellows, for acquiring chlorophyll fluorescence image and ash to measuring plants Spend image;
Computer, the chlorophyll fluorescence image and gray level image letter acquired by analysis processing from image capture module Breath carries out three-dimensionalreconstruction to chlorophyll fluorescence image and gray level image.
In order to realize dark adaptation and cut down illumination reflection, preferably, the inner wall of lighting box is black and frosted.
The image capture module includes CCD camera, filter wheel and camera lens, and filter wheel is mounted on CCD camera and camera lens Between.
Filter wheel may be switched to feux rouges optical filter and both of which free of light filter.The central wavelength of feux rouges optical filter is 690nm, for filtering interference light.Filter wheel is switched into feux rouges optical filter mode, acquisition ash when acquiring chlorophyll fluorescence image Filter wheel is switched into mode free of light filter when spending image.
Preferably, the light source is mounted on light source board, and the geometric center hollow out of light source board, the Image Acquisition Module is mounted on the hollowed out area of light source board.
Light source board is " returning " font or circular ring shape, and center hollow out, image capture module is mounted on light source board center hollow part.
Preferably, the geometric center on light source board around light source board is separately installed with:
Blood orange light LED light, generation wavelength are the measurement light of 620nm;
White LED lamp, generation wavelength are the actinic light and saturated light of 450~465nm.
Preferably, being within 0~30cm in measurement range, the light intensity adjustable extent of actinic light is 0~500 μm of olm-2·s-1, the light intensity adjustable extent of saturated light is 0~4000 μm of olm-2·s-1
By the rotation of rotating platform, image capture module acquire to measuring plants different angle chlorophyll fluorescence image and Gray level image information, and it is uploaded to computer in real time, computer believes the chlorophyll fluorescence image and gray level image of different angle Breath is analyzed and processed and is reconstructed, and obtains plant three-dimensional chlorophyll fluorescence image information.
Compared with prior art, the invention has the benefit that
(1) method of the invention can not only the two-dimensional chlorophyll fluorescence image of herborization body, and pass through Three-dimensional Gravity Structure technology can obtain the chlorophyll fluorescence information on plant space three-dimensional to be measured, be conducive to establish from space three-dimensional angle and plant Object-pest and disease damage interactive information model, helps to realize the detection of plant physiology state;
(2) present invention can not only obtain the 3-D image of different fluorescence parameters, and can obtain plant to be measured its His biological nature, such as plant type, leaf area index, blade shape and blade space distribution etc..
Detailed description of the invention
Fig. 1 is the structural schematic diagram for the device that the present invention obtains plant three-dimensional chlorophyll fluorescence image information;
Fig. 2 is the structural schematic diagram of image capture module.
Wherein, 1, camera bellows;2, light source board;3, computer;4, image capture module;5, to measuring plants;6, rotating platform;7, CCD camera;8, filter wheel;9, camera lens.
Specific embodiment
Present invention is further described in detail with reference to the accompanying drawings and examples.
As depicted in figs. 1 and 2, the device that the present invention obtains plant three-dimensional chlorophyll fluorescence image information includes: camera bellows 1, The bottom of camera bellows 1 is equipped with the rotating platform 6 that support waits for measuring plants 5, is equipped with light source board 2 on the side wall of camera bellows 1, light source board 2 Geometric center hollow out is equipped with chlorophyll fluorescence image capture module 4 in the hollowed out area.
Image capture module 4 includes CCD camera 7, filter wheel 8 and camera lens 9.Filter wheel be mounted on camera lens and CCD camera it Between.Image capture module towards vertically with the illumination plane of light source board 2.CCD camera resolution ratio is 1392x1040, valid pixel Size is 6.45 μm.Filter wheel may be switched to feux rouges optical filter and both of which free of light filter.The central wavelength of feux rouges optical filter For 690nm, light is interfered for filtering.
It can be according to the installation position of morphological differences adjustment light source board 2 and image capture module inside camera bellows to measuring plants It sets.Image capture module and there is certain tilt angle to measuring plants.
Geometric center on light source board 2 around light source board 2 is separately installed with:
Blood orange light LED light, generation wavelength are the measurement light (Measuring Flash) of 620nm;
White LED lamp, generation wavelength are the actinic light (Actinic light) and saturated light of 450~465nm (Saturating light);
Blood orange light LED light and white LED lamp are LED light array.
It is within 0~30cm in measurement range, the light intensity adjustable extent of actinic light is 0~500 μm of olm-2·s-1, satisfy Light intensity adjustable extent with light is 0~4000 μm of olm-2·s-1
Rotating platform 6 waits for measuring plants for support, and can rotate in the horizontal plane to adjust to measuring plants and Image Acquisition The opposite angle of module.Rotating platform 6 can pass through motor driven.
Computer 3 is connected with CCD camera, for receiving the chlorophyll fluorescence image and gray level image of CCD camera acquisition, and Processing and three-dimensionalreconstruction are carried out to chlorophyll fluorescence image.
Camera bellows inner-wall spraying black paint and frosted processing, advantageously reduce the reflection of light.
The method of present invention acquisition plant three-dimensional chlorophyll fluorescence image information, comprising:
(1) calibration of CCD camera internal reference:
Cube calibration object is placed on rotating platform 6 by (1-1), and 6 faces which demarcates object are the white phase of black Between gridiron pattern, the space coordinate of X-comers is known during the experiment on each face.
Actinic light is opened, switches filter wheel to position free of light filter, CCD camera shoots cube calibration from different angles The 2-D gray image of object, in the image clapped under each angle, cube demarcates object should be complete, and cube calibration object is extremely 60% or more of whole image area is accounted for less;
Shooting angle should be not less than 6, and the image of adjacent angular shooting should have reasonable overlapping region;
(1-2) obtains the world coordinate system of cube calibration object upper surface central point, and application Hariss Corner Detection is calculated Method finds the corresponding projected position in 2-D gray image of characteristic point on cube calibration object.CCD is calculated by projection model The inside and outside parameter of camera.In the present embodiment, the CCD camera image-forming principle meets pinhole camera model, two dimensional image and needle The projection relation of hole camera model are as follows:
In formula (1), K1For the internal reference of camera, K2For space coordinate of the camera under world coordinates, [w z 1] is X-Y scheme As upper coordinate, R indicates rotation, and T indicates displacement, [XrYrZrIt 1] is spatially coordinate.Therefore solve K1Then complete the interior of camera Ginseng calibration;
(2) it will be placed in measuring plants on rotating platform 6, and close actinic light 20min, and carry out dark adaptation to measuring plants;
(3) switch filter wheel to feux rouges optical filter position.After measuring plants carry out dark adaptation, measurement light is opened, it is described Measure light duration about 5s, switching frequency 1Hz, the minimum fluorescent image Fo of CCD camera shooting and measurement light identical frequency;
(4) measurement light is closed, saturated light is opened, CCD camera shoots maximum fluorescence image Fm;The saturated light duration is about 800ms, intensity are about 800 μm of olm-2·s-1
(5) saturated light to be closed, actinic light is opened after 17s, CCD camera shoots fluorescent image when actinic light moment opening, That is the maximum fluorescence image Fp of Kaustky effect;
(6) duration of actinic light about 70s, the lasting process of actinic light are also referred to as light adaptation process.Light adaptation not In same time course, then 5 saturated lights (8s, 18s, 28s, 48s and 68s after actinic light unlatching), CCD phase are opened respectively Machine shoots corresponding light adaptation maximum fluorescence image F respectivelym-Ln(n=1~5);Meanwhile it is steady to obtain plant photosynthesis The steady-state fluorescence F of timingss
(7) actinic light (dark relaxation process) is closed.Correspondingly, the duration of dark relaxation process is 100s.In dark relaxation In different time courses, then 3 saturated lights (28s, 58s and 88s after actinic light closing) is opened respectively, CCD camera is clapped Take the photograph the maximum fluorescence image F of corresponding dark relaxationm-Dn(n=1~3);
(8) completion of chlorophyll fluorescence Image Acquisition and then secondary opening actinic light, switching filter wheel to position free of light filter It sets, takes the gray level image Im under corresponding angle;
(9) chlorophyll fluorescence image collected and gray level image are pre-processed, rejecting abnormalities point.In Fp image On the basis of, exposure mask file is generated, background is removed.Using the detection algorithm of the unitary outlier based on normal distribution to target area Abnormal point judged.The principle of judgement is: assuming that data fit normal distribution, when the value of some pixel in fluorescent image subtracts The absolute value for removing the mean μ of target area pixel is more than 3 σ, then it is assumed that the pixel is exceptional value.That is:
|xi- μ | 3 σ of > (2)
In formula (2),
The abnormal point passes through Lagrangian linear interpolation replacement, it may be assumed that
(10) other fluorescence parameter images are calculated.Above-mentioned steps fluorescence parameter obtained is subjected to different combinations, It is available:
The minimum fluorescence of light adaptation and dark relaxation
Light quantum transfer efficiency
Non-photochemical quenching coefficient NPQn=Fm/Fm-n-1;
Photochemical quenching coefficient
Practical phosphorescent quantum yieldsEtc. the fluorescence parameter that can reflect plant physiology;
(11) it is rotated by rotating platform 6 to measuring plants, image capture module waits for measuring plants from another angle shot Chlorophyll fluorescence image and gray level image, repeat step (3)~(10);
(12) it is loaded into the chlorophyll fluorescence image progress of the gray level image shot from different perspectives and identical parameters Match.Pick out characteristic point first with Hariss Corner Detection Algorithm, again with SIFT algorithm and to epipolar-line constraint realize to The matching of characteristic point between reconstructed image;
(13) actual coordinate of the match point in world coordinate system is calculated using triangulation method.Respectively obtain three-dimensional plant The chlorophyll fluorescence image and gray level image of object.Three-dimensional fluorescence image is corrected using three dimensional grey scale image, improves spatial resolution, Obtain final three-dimensional chlorophyll fluorescence image.
According to step (1)~(13), the present invention produces the 3-D image of multiple different fluorescence parameters.
Technical solution of the present invention and beneficial effect is described in detail in embodiment described above, it should be understood that Above is only a specific embodiment of the present invention, it is not intended to restrict the invention, it is all to be done in spirit of the invention Any modification, supplementary, and equivalent replacement etc., should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of method for obtaining plant three-dimensional chlorophyll fluorescence image information, which comprises the following steps:
(1) internal reference of camera is demarcated;
(2) it after treating measuring plants progress dark adaptation processing, under the induction of exciting light, acquires green to the leaf of measuring plants different angle Plain fluorescent image information;After chlorophyll fluorescence Image Acquisition is completed, actinic light is opened, acquires the grayscale image under corresponding angle Picture;
Adjacent angular has overlapping region;
(3) to the chlorophyll fluorescence image and gray level image information to measuring plants of different angle acquisition pre-processed to obtain to The chlorophyll fluorescence image and gray level image of reconstruct, comprising: application image cutting techniques remove chlorophyll fluorescence figure collected The background of picture and gray level image judges the abnormal point on fluorescent image using the detection algorithm of unitary outlier, and answers Abnormal point is replaced with Lagrangian linear interpolation;
(4) it is loaded into chlorophyll fluorescence image and gray level image to be reconstructed, is found in image using Hariss Corner Detection Algorithm Characteristic point;The matching of two images characteristic point is realized using SIFT algorithm and to epipolar-line constraint;It is calculated using triangulation method Actual coordinate of the match point in world coordinate system respectively obtains the chlorophyll fluorescence image and gray level image of three-dimensional plant; Three-dimensional fluorescence image is corrected using three dimensional grey scale image, obtains final three-dimensional chlorophyll fluorescence image.
2. the method according to claim 1 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that described Angle be no less than 6, in the image acquired under each angle, the image to measuring plants is complete and accounts for whole image area 60% or more.
3. the method according to claim 1 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that acquisition The method of chlorophyll fluorescence image information and gray level image to each angle of measuring plants are as follows:
Measurement light, the minimum fluorescent image Fo of acquisition and measurement light identical frequency are opened according to specific frequency;
Measurement light is closed, saturated light is opened, obtains maximum fluorescence image Fm;
Saturated light is closed, actinic light, chlorophyll fluorescence image when acquisition actinic light moment opens, i.e. Kausty effect are opened Maximum fluorescence image Fp;Obtain the maximum fluorescence image F of different phases under photopic conditionsm-LnAnd steady-state fluorescence Fss
Actinic light is closed, the maximum fluorescence image F of different phases under the conditions of dark relaxation is acquiredm-Dn
Chlorophyll fluorescence Image Acquisition is completed and then secondary opening actinic light, takes the gray level image Im under corresponding angle;
Wherein n=1~5.
4. the method according to claim 3 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that institute The chlorophyll fluorescence image and gray level image of acquisition carry out pretreated method: on the basis of Fp image, exposure mask file is generated, Remove background;Detection algorithm using the unitary outlier based on normal distribution judges the abnormal point of target area, different Often point obtains chlorophyll fluorescence image and gray level image to be reconstructed by Lagrangian linear interpolation replacement.
5. the method according to claim 4 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that different The often principle that point is judged are as follows: assuming that data fit normal distribution, when the value of some pixel in image to be reconstructed subtracts mesh The absolute value for marking the mean μ of area pixel is more than 3 σ, then it is assumed that the pixel is exceptional value, it may be assumed that
|xi- μ | 3 σ of >
In formula,
6. the method according to claim 3 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that weight The chlorophyll fluorescence image of structure includes the fluorescence parameter for reflecting plant physiology:
Light quantum transfer efficiency
Non-photochemical quenching coefficient NPQn=Fm/Fm-n-1;
Photochemical quenching coefficient
Practical phosphorescent quantum yields
Wherein,For the minimum fluorescence of different phases,Fm-n For Fm-LnOr Fm-Dn, n=1~5.
7. a kind of device for obtaining plant three-dimensional chlorophyll fluorescence image information characterized by comprising
Camera bellows;
Rotating platform is mounted on the bottom of camera bellows, for support and selects to measuring plants;
Light source is mounted on the side wall of camera bellows, for emitting detection light to measuring plants;The light source includes that generation wavelength is The blood orange light LED light and generation wavelength of the measurement light of 620nm are the actinic light of 450~465nm and the white light LEDs of saturated light Lamp;
Image capture module is mounted on the side wall of camera bellows, for acquiring chlorophyll fluorescence image and grayscale image to measuring plants Picture;The image capture module includes CCD camera, filter wheel and camera lens, and filter wheel is mounted between CCD camera and camera lens, It may be switched to feux rouges optical filter and both of which free of light filter;
Computer, the chlorophyll fluorescence image and gray level image information acquired by analyzing processing from image capture module are right Chlorophyll fluorescence image and gray level image carry out three-dimensionalreconstruction.
8. the device according to claim 7 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that described Light source be mounted on light source board, the geometric center hollow out of light source board, the image capture module is mounted on engraving for light source board Empty region.
9. the device according to claim 8 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that light source Geometric center on plate around light source board is separately installed with:
Blood orange light LED light, generation wavelength are the measurement light of 620nm;
White LED lamp, generation wavelength are the actinic light and saturated light of 450~465nm.
10. the device according to claim 9 for obtaining plant three-dimensional chlorophyll fluorescence image information, which is characterized in that Measurement range is within 0~30cm, and the light intensity adjustable extent of actinic light is 0~500 μm of olm-2·s-1, the light intensity of saturated light Adjustable extent is 0~4000 μm of olm-2·s-1
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CA3132824A1 (en) * 2019-04-08 2020-10-15 Oded LIRAN Remote sensing of plant photosynthetic capacity
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CN110554017A (en) * 2019-09-30 2019-12-10 福建农林大学 Method and device for correcting fluorescence parameters of plant chlorophyll
CN112629412A (en) * 2019-12-12 2021-04-09 天目爱视(北京)科技有限公司 Rotary type 3D intelligent vision equipment
CN111551530B (en) * 2020-04-23 2022-07-22 江苏大学 Method and device for acquiring three-dimensional distribution information of chlorophyll fluorescence of canopy of crop group
US11327021B1 (en) 2020-04-23 2022-05-10 Jiangsu University Method and device for crop canopy chlorophyll fluorescence three-dimensional distribution information acquisition
CN112613521B (en) * 2020-12-28 2023-01-20 上海埃林哲软件系统股份有限公司 Multilevel data analysis system and method based on data conversion
CN112903642B (en) * 2021-01-20 2022-06-10 井冈山大学 Method for quantitatively analyzing photosynthetic heterogeneity of plant leaves
CN114646625B (en) * 2022-04-22 2023-01-17 江苏大学 Moisture condition diagnosis method and device based on plant full-three-dimensional information

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103018221A (en) * 2012-12-12 2013-04-03 浙江大学 Plant chlorophyll fluorescence detecting device for equalizing irradiation
CN104034710A (en) * 2014-06-25 2014-09-10 浙江大学 Chlorophyll fluorescence and imaging technology based plant disease detection method and detection device
CN104655573A (en) * 2015-01-22 2015-05-27 浙江大学 High-spectrum scanning system for canopy of side surface of plant
CN104677839A (en) * 2015-01-22 2015-06-03 浙江大学 Rotary scanning hyperspectral crop stem information acquisition system
CN105548113A (en) * 2015-12-31 2016-05-04 浙江大学 Plant physiology monitoring method based on chlorophyll fluorescence and multispectral image
CN105572091A (en) * 2016-01-21 2016-05-11 浙江大学 Chlorophyll fluorescence detection device and method
CN105717115A (en) * 2016-01-31 2016-06-29 浙江大学 High-throughput plant phenotype analysis device and method based on optical imaging technique

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NL1036677C2 (en) * 2009-03-06 2010-09-07 Praktijkonderzoek Plant & Omgeving B V METHOD AND APPARATUS FOR MAKING IMAGES CONTAINING INFORMATION ON THE QUANTUM EFFICIENCY AND TIME RESPONSE OF THE PHOTOSYNTHESIS SYSTEM FOR OBJECTIVE OF DETERMINING THE QUALITY OF VEGETABLE MATERIAL AND METHOD AND MEASURING MATERIAL SIZE CLASSIFICATION.

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103018221A (en) * 2012-12-12 2013-04-03 浙江大学 Plant chlorophyll fluorescence detecting device for equalizing irradiation
CN104034710A (en) * 2014-06-25 2014-09-10 浙江大学 Chlorophyll fluorescence and imaging technology based plant disease detection method and detection device
CN104655573A (en) * 2015-01-22 2015-05-27 浙江大学 High-spectrum scanning system for canopy of side surface of plant
CN104677839A (en) * 2015-01-22 2015-06-03 浙江大学 Rotary scanning hyperspectral crop stem information acquisition system
CN105548113A (en) * 2015-12-31 2016-05-04 浙江大学 Plant physiology monitoring method based on chlorophyll fluorescence and multispectral image
CN105572091A (en) * 2016-01-21 2016-05-11 浙江大学 Chlorophyll fluorescence detection device and method
CN105717115A (en) * 2016-01-31 2016-06-29 浙江大学 High-throughput plant phenotype analysis device and method based on optical imaging technique

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Chlorophyll fluorescence analysis and imaging in plant stress and disease;Paul F.Daley;《Canadian Journal of Plant Pathology》;19951231;第17卷(第2期);第167-173页
Chlorophyll Fluorescence:A Probe of Photosynthesis In Vivo;Neil R.Baker;《Annual Review of Plant Biology》;20081231;第59卷;第89-113页
叶绿素荧光技术在植物环境胁迫研究中的应用;陈贻竹 等;《热带亚热带植物学报》;19951231;第3卷(第4期);第79-86页
荧光成像技术在植物病害检测的应用研究进展;卢劲竹 等;《农业机械学报》;20140430;第45卷(第4期);第244-252页

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021251969A1 (en) * 2020-06-11 2021-12-16 Texas State University Autonomous farming growth control and maintenance systems

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