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CN107730471A - A kind of leaf image color antidote and device for rice shoot Growing state survey - Google Patents

A kind of leaf image color antidote and device for rice shoot Growing state survey Download PDF

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Publication number
CN107730471A
CN107730471A CN201711013630.2A CN201711013630A CN107730471A CN 107730471 A CN107730471 A CN 107730471A CN 201711013630 A CN201711013630 A CN 201711013630A CN 107730471 A CN107730471 A CN 107730471A
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color
image
rgb color
color value
reference colour
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Inventor
冯青春
李翠玲
姜凯
范鹏飞
王秀
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Beijing Research Center of Intelligent Equipment for Agriculture
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Beijing Research Center of Intelligent Equipment for Agriculture
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Priority to CN201711013630.2A priority Critical patent/CN107730471A/en
Publication of CN107730471A publication Critical patent/CN107730471A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30232Surveillance

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Processing (AREA)

Abstract

The present invention provides a kind of leaf image color antidote and device for rice shoot Growing state survey, first RGB color value of the color of image of the correction reference colour shot by obtaining predetermined time, the predetermined time are the minimum shooting time of the color of image distortion level of correction reference colour;Obtain the second RGB color value of the color of image of the correction reference colour of any instant shooting;Compensation coefficient is obtained according to the first RGB color value and the second RGB color value;The color of the rice shoot leaf image shot according to compensation coefficient to any instant is corrected.Above-mentioned correction is implemented to the color of rice shoot leaf image of different time shooting, so as to allow the color of rice shoot leaf image that different time shoots to keep the cross-color that degree is identical and degree is minimum, ensure that the accuracy of the analysis to seedling growth situation.

Description

A kind of leaf image color antidote and device for rice shoot Growing state survey
Technical field
The present invention relates to technical field of image processing, more particularly, to a kind of blade figure for rice shoot Growing state survey As color antidote and device.
Background technology
China is as vegetables production and consumption big country, about 680,000,000,000 plants of vegetables nursery annual requirement, wherein due to bad seedling, lacking Cultivation rate is mended caused by seedling and reaches 5%-10%, by manually seedbed seedling growth situation being differentiated and being managed labor intensity be present Greatly, the problems such as lacking unified standard and increase pest and disease damage propagation risk, therefore realize the automation of fruits and vegetables seedbed monitoring management Embodiment, the sustainable development for China's fruits and vegetables industry are significant.
High-quality rice shoot is the basis that fruits and vegetables are high-quality, get bumper crops, and routine observation leaf appearance feature understands seedling growth situation, with Implement corresponding agronomy management, be the important process in fruits and vegetables seedling raising process.At present, manual work specification is used for reference, passes through shooting The color of device dynamic acquisition rice shoot leaf image information particularly rice shoot blade, and signature analysis is carried out to it, it is to realize seedling The important channel that seedling upgrowth situation monitors automatically.
However, the color serious distortion of the undesirable rice shoot leaf image that can cause to shoot of the illumination condition of rice shoot blade, Influence the judgement to seedling growth situation;Importantly, the illumination condition of rice shoot blade is influenceed by solar irradiation change, with Time changes in dynamic fluctuation, causes in the different time, the light when shooting the image of rice shoot blade suffered by rice shoot blade It is different according to condition, thus cause the cross-color degree of the rice shoot leaf image of different time shooting different, due to being given birth to rice shoot The analysis of long situation relies on the color of the rice shoot leaf image of shooting, so as to the color of the rice shoot leaf image of different time shooting There is different degrees of distortion, have impact on the accuracy of the analysis to seedling growth situation.
The content of the invention
In order to overcome above mentioned problem or solve the above problems at least in part, the present invention provides one kind and is directed to rice shoot growing way The leaf image color antidote and device of monitoring.
According to an aspect of the present invention, there is provided a kind of leaf image color antidote for rice shoot Growing state survey, Including:The first RGB color value of the color of image of the correction reference colour of predetermined time shooting is obtained, the predetermined time is marked for correction The minimum shooting time of the color of image distortion level of quasi- color;Obtain the color of image of the correction reference colour of any instant shooting Second RGB color value;Compensation coefficient is obtained according to the first RGB color value and the second RGB color value;According to compensation coefficient to described The color of the rice shoot leaf image of any instant shooting is corrected.
Wherein, it is leaf green to correct reference colour.
Wherein, compensation coefficient is obtained according to the first RGB color value and the second RGB color value, including:According to the first RGB face The R values of the R values of colour and the second RGB color value obtain the first coefficient;According to the G values and the second RGB color of the first RGB color value The G values of value obtain the second coefficient;3rd coefficient is obtained according to the B values of the B values of the first RGB color value and the second RGB color value;Will First coefficient, the second coefficient and the 3rd coefficient composition compensation coefficient.
Wherein, the color of the rice shoot leaf image shot according to compensation coefficient to any instant is corrected, including: The RGB color value of each pixel is adjusted in the rice shoot leaf image shot according to compensation coefficient to any instant.
Wherein, the RGB color of each pixel in the rice shoot leaf image shot to any instant according to compensation coefficient Value is adjusted, including:To the RGB color value of any pixel in the rice shoot leaf image of any instant shooting, according to the The R values of the RGB color value of any pixel of one coefficient adjustment, according to the G values of the RGB color value of any pixel of the second coefficient adjustment, According to the B values of the RGB color value of the 3rd any pixel of coefficient adjustment.
Wherein, also wrapped before the first RGB color value of any pixel in the image of the reference colour of acquisition predetermined time shooting Include:Obtain the color of image every the correction reference colour of preset time shooting;Calculate correction reference colour each color of image with Correct the aberration of the true colors of reference colour;The minimum color of image of the aberration of true colors with correcting reference colour is corresponding Shooting time is as predetermined time.
Wherein, the color and the aberration of the true colors of correction reference colour in each image of correction reference colour, bag are calculated Include:Any image color for correcting reference colour, using any image color as target image color, obtain target image face The RGB color value of color;The RGB color value of target image color is converted into the tristimulus values of target image color, correction is marked The RGB color value of the true colors of quasi- color is converted to the tristimulus values of the true colors of correction reference colour;According to target image face The tristimulus values of the tristimulus values of color and the true colors of correction reference colour, calculates target image color with correcting the true of reference colour The aberration of solid color.
Another aspect of the present invention, there is provided a kind of leaf image color apparatus for correcting for rice shoot Growing state survey, including: At least one processor;And at least one memory being connected with the processor communication, wherein:The memory storage has Can be by the programmed instruction of the computing device, the processor calls described program instruction to perform above-mentioned method.
Another aspect of the present invention, there is provided a kind of computer program product, the computer program product are non-including being stored in Computer program in transitory computer readable storage medium, the computer program include programmed instruction, when the programmed instruction quilt When computer performs, computer is set to perform above-mentioned method.
Another aspect of the present invention, there is provided a kind of non-transient computer readable storage medium storing program for executing, the non-transient computer are readable Storage medium stores computer program, and the computer program makes computer perform above-mentioned method.
A kind of leaf image color antidote and device for rice shoot Growing state survey provided by the invention, passes through acquisition First RGB color value of the color of image of the correction reference colour of predetermined time shooting, the predetermined time are the figure of correction reference colour As the shooting time that cross-color degree is minimum;Obtain the 2nd RGB of the color of image of the correction reference colour of any instant shooting Color value;Compensation coefficient is obtained according to the first RGB color value and the second RGB color value;According to compensation coefficient to it is described any when The color for carving the rice shoot leaf image of shooting is corrected;On the color of the rice shoot leaf image shot to different time is implemented Correction is stated, so as to allow the color of rice shoot leaf image that different time shoots to keep degree is identical and degree is minimum color to lose Very, it ensure that the accuracy of the analysis to seedling growth situation.
Brief description of the drawings
, below will be to embodiment or prior art in order to illustrate more clearly of technical scheme of the invention or of the prior art The required accompanying drawing used is briefly described in description, it should be apparent that, drawings in the following description are the one of the present invention A little embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to these Accompanying drawing obtains other accompanying drawings.
Fig. 1 is the flow according to the leaf image color antidote for rice shoot Growing state survey of the embodiment of the present invention Figure;
Fig. 2 is the schematic diagram according to the seedbed rice shoot Growing state survey vision system of the embodiment of the present invention.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention Figure, the technical scheme in the present invention is clearly and completely described, it is clear that described embodiment is a part of the invention Embodiment, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making wound The every other embodiment obtained under the premise of the property made work, belongs to the scope of protection of the invention.
In one embodiment of the invention, with reference to figure 1, there is provided a kind of leaf image color for rice shoot Growing state survey Antidote, including:S11, the first RGB color value of the color of image of the correction reference colour of predetermined time shooting is obtained, this is pre- If the moment is the minimum shooting time of the color of image distortion level of correction reference colour;S12, obtain the correction of any instant shooting Second RGB color value of the color of image of reference colour;S13, correction is obtained according to the first RGB color value and the second RGB color value Coefficient;S14, the color of the rice shoot leaf image shot according to compensation coefficient to any instant are corrected.
Wherein, it is leaf green to correct reference colour.
Specifically, the method encoded to color is referred to as color space or colour gamut, the color of any color is empty Between all may be defined to fixed a numeral or variable.Only one kind in numerous color spaces, RGB color are empty for RGB color Between in, any one color can be obtained by red, green and blueness superposition, and red, green and blueness are also known as three primary colors Light, represent it is Red (being abbreviated as R), Green (being abbreviated as G) and Blue (being abbreviated as B), therefore, any one face respectively with English Color can be recorded and expressed by one group of RGB color value, and RGB color value has three variables, wherein, R values represent the strong of red Degree, G values represent the intensity of green, and B values represent the intensity of blueness.
The illumination condition of rice shoot blade is influenceed by solar irradiation change, is changed with the time in dynamic fluctuation, is caused The different time, illumination condition of the filming apparatus when shooting the image of rice shoot blade suffered by rice shoot blade is different, thus causes The cross-color degree of the rice shoot leaf image of different time shooting is different.Because filming apparatus is generally adopted by lens imaging Principle, lens imaging exist one it is serious the defects of, cause cross-color inevitable, but exist a cross-color degree At the time of minimum, at the moment, the image of shooting is optimal image.
In the present embodiment, a certain reference colour is chosen as correction reference colour, due to leaf green in ColorChecker colour tables (Foliage) dominant wavelength 540nm, its visible reflectance characteristic is close with rice shoot blade, therefore using leaf green as rice shoot blade Correction reference colour, obtain shot at the time of cross-color degree minimum correction reference colour color of image RGB color Value, while the RGB color value of the color of image of the correction reference colour shot at any one time is obtained, pass through the two above moment The RGB color of the color of image of correction reference colour is worth to be rectified to what the color of the image of shooting of any of the above-described moment was corrected Positive coefficient, to the color of the rice shoot leaf image shot in any instant, corrected using compensation coefficient, obtain color mistake True degree is minimum, that is, the image shot under conditions of optimal imaging effect.
In the present embodiment, in order to guarantee to shoot the image and rice shoot blade of correction reference colour in real time in synchronization Image, it can realize that in the system, camera pedestal is located at seedbed by seedbed rice shoot Growing state survey vision system as shown in Figure 2 Top, Standard colour board is placed near seedbed, there is correction reference colour, video camera adjustable angle, to protect on Standard colour board Card monitoring scope as big as possible, video camera can photograph Standard colour board in the shooting visual field of any angle, so, in office When quarter shooting photo in can photograph simultaneously correction reference colour image and rice shoot leaf image.
The color of image for the correction reference colour that the present embodiment is shot by obtaining at the time of cross-color degree minimum RGB color value and the RGB color value for obtaining the color of image for correcting reference colour shot at any one time, to obtain correction system Number, the color for reusing rice shoot leaf image of the compensation coefficient to being shot in any instant are corrected, and obtain cross-color Degree is minimum, that is, the image shot under conditions of optimal imaging effect;To the rice shoot leaf of different time shooting The color of picture implements above-mentioned correction, so as to which the color of rice shoot leaf image for allowing different time to shoot keeps degree phase The minimum cross-color of same and degree, ensure that the accuracy of the analysis to seedling growth situation.
Based on above example, compensation coefficient is obtained according to the first RGB color value and the second RGB color value, including:According to The R values of the R values of first RGB color value and the second RGB color value obtain the first coefficient;According to the G values of the first RGB color value and The G values of two RGB color values obtain the second coefficient;The is obtained according to the B values of the B values of the first RGB color value and the second RGB color value Three coefficients;First coefficient, the second coefficient and the 3rd coefficient are formed into compensation coefficient.
Specifically, RGB color value has three variables, R values represent the intensity of red, and G values represent the intensity of green, B value generations The intensity of table blueness;It is corresponding respectively to obtain the first coefficient, second by the R colors in two RGB color values, G values and B values Coefficient and the 3rd coefficient, then compensation coefficient is formed by the first coefficient, the second coefficient and the 3rd coefficient.
First coefficient, the second coefficient and the 3rd coefficient can be obtained by following formula:
Wherein, JRFor the first coefficient, JGFor the second coefficient, JBFor the 3rd coefficient, R'FFor the R values of the first RGB color value, G'F For the G values of the first RGB color value, B'FFor the B values of the first RGB color value, RFFor the R values of the second RGB color value, GFFor second The G values of RGB color value, BFFor the B values of the second RGB color value.
Based on above example, the color of the rice shoot leaf image shot according to compensation coefficient to any instant is carried out Correction, including:The RGB color value of each pixel is entered in the rice shoot leaf image shot according to compensation coefficient to any instant Row adjustment.
Wherein, the RGB color of each pixel in the rice shoot leaf image shot to any instant according to compensation coefficient Value is adjusted, including:To the RGB color value of any pixel in the rice shoot leaf image of any instant shooting, according to the The R values of the RGB color value of any pixel of one coefficient adjustment, according to the G values of the RGB color value of any pixel of the second coefficient adjustment, According to the B values of the RGB color value of the 3rd any pixel of coefficient adjustment.
Specifically, because the RGB color value of each pixel in rice shoot leaf image is different, compensation coefficient pair need to be used The RGB color value of each pixel is adjusted, during being adjusted to the RGB color value of each pixel, according to the first system Number adjusts the R values of the RGB color values of any pixels, according to the G values of the RGB color value of any pixel of the second coefficient adjustment, according to The B color values of the RGB color value of the 3rd any pixel of coefficient adjustment, finally obtain the image after correction.
For a certain pixel, the RGB color value (R' of the pixel after correctionL, G'L, B'L) shot by any instant Rice shoot leaf image in the pixel RGB color value (RL, GL, BL) adjustment acquisition, it is as follows to adjust formula:
Wherein, JRFor the first coefficient, JGFor the second coefficient, JBFor the 3rd coefficient, RLFor the rice shoot of any instant shooting The R values of the RGB color value of a certain pixel, G in leaf imageLFor a certain picture in the rice shoot leaf image of any instant shooting The G values of the RGB color value of member, BLFor the B of the RGB color value of a certain pixel in the rice shoot leaf image of any instant shooting Value.
Based on above example, the first RGB color of any pixel in the image for the reference colour for obtaining predetermined time shooting Before value, in addition to:Obtain the color of image every the correction reference colour of preset time shooting;Calculate each of correction reference colour The aberration of color of image and the true colors of correction reference colour;By the image that the aberration of the true colors with correcting reference colour is minimum Shooting time is as predetermined time corresponding to color.
Specifically, the degree of cross-color may be embodied in the size of aberration, it is true with correction reference colour by finding Shooting time corresponding to the minimum color of image of the aberration of color, at the time of to determine cross-color degree minimum.The present embodiment In, per at regular intervals shooting correction reference colour image, calculate in each image correct reference colour color with correction The aberration of the true colors of reference colour, so as to find and correct the minimum color of image of the aberration of the true colors of reference colour, with This finds the time for shooting the image, the time minimum as cross-color degree.
Based on above example, the color and the true colors of correction reference colour in each image of correction reference colour are calculated Aberration, including:Any image color for correcting reference colour, using any image color as target image color, obtain The RGB color value of target image color;The RGB color value of target image color is converted into the tristimulus of target image color Value, the RGB color value for the true colors for correcting reference colour is converted to the tristimulus values of the true colors of correction reference colour;According to The tristimulus values of the tristimulus values of target image color and the true colors of correction reference colour, calculates target image color and correction The aberration of the true colors of reference colour.
Specifically, the aberration between two kinds of colors is calculated, and need to be by the tristimulus values of two kinds of colors, tristimulus values is CIE- It is worth under XYZ color space corresponding to three primary colours, transformational relation is present with RGB color value, transition matrix between the two can be passed through Realize conversion between the two, in the present embodiment, the RGB color value for the color of image for correcting reference colour is converted into correction standard The tristimulus values of the color of image of color, the RGB color value for the true colors for correcting reference colour is converted into the true of correction reference colour The tristimulus values of solid color, the true face of the color of image and correction reference colour of correction reference colour is calculated by two tristimulus values Aberration between color.
Wherein, between the tristimulus values (X, Y, Z) of a certain color of image and the RGB color value (R, G, B) of the color of image Transformational relation determined by following formula:
Wherein, C is transition matrix, and X is the X values of the tristimulus values of color of image, and Y is the Y of the tristimulus values of color of image Value, Z are the Z values of the tristimulus values of color of image, and R is the R values of the RGB color value of color of image, and G is the RGB face of color of image The R values of colour, B are the R values of the RGB color value of color of image.
And transition matrix
Aberration Δ E between two kinds of colors is calculated by following formula to be obtained:
Wherein, wherein Δ L*、Δa*、Δb*The difference of two kinds of color parameters respectively under L*a*b* color spaces.
Tristimulus values (X, Y, Z) and L of the same color in CIE-XYZ color spaces*a*b*Parameter value (the L of color space*, a*, b*) between relation determined by following formula:
Wherein, X is the X values of the tristimulus values of color of image, and Y is the Y value of the tristimulus values of color of image, and Z is image face The Z values of the tristimulus values of color, fXA, fXB, fZBThe constant determined for video camera and working flare.
As another embodiment of the present invention, there is provided a kind of leaf image color for rice shoot Growing state survey corrects dress Put, including:At least one processor;And at least one memory being connected with the processor communication, wherein:The storage Device is stored with can be by the programmed instruction of the computing device, and the processor calls described program instruction to perform above-mentioned each side The method that method embodiment is provided, such as including:Obtain the first RGB of the color of image of the correction reference colour of predetermined time shooting Color value, the predetermined time are the minimum shooting time of the color of image distortion level of correction reference colour;Any instant is obtained to clap Second RGB color value of the color of image for the correction reference colour taken the photograph;Obtained according to the first RGB color value and the second RGB color value Compensation coefficient;The color of the rice shoot leaf image shot according to compensation coefficient to any instant is corrected.
Another embodiment as the present invention, there is provided a kind of computer program product, the computer program product include The computer program being stored on non-transient computer readable storage medium storing program for executing, the computer program include programmed instruction, work as program Instruction is when being computer-executed, and computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including:Obtain pre- If the first RGB color value of the color of image of the correction reference colour of moment shooting, the predetermined time are the image of correction reference colour The minimum shooting time of cross-color degree;Obtain the 2nd RGB face of the color of image of the correction reference colour of any instant shooting Colour;Compensation coefficient is obtained according to the first RGB color value and the second RGB color value;According to compensation coefficient to any instant The color of the rice shoot leaf image of shooting is corrected.
Another embodiment as the present invention, there is provided a kind of non-transient computer readable storage medium storing program for executing, the non-transient meter Calculation machine readable storage medium storing program for executing stores computer program, and the computer program is put forward the above-mentioned each method embodiment of computer execution The method of confession, such as including:The first RGB color value of the color of image of the correction reference colour of predetermined time shooting is obtained, this is pre- If the moment is the minimum shooting time of the color of image distortion level of correction reference colour;Obtain the correction standard of any instant shooting Second RGB color value of the color of image of color;Compensation coefficient is obtained according to the first RGB color value and the second RGB color value;According to The color for the rice shoot leaf image that compensation coefficient is shot to any instant is corrected.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above method embodiment can pass through The related hardware of computer program instructions is completed, and foregoing computer program can be stored in a computer-readable storage and be situated between In matter, the computer program upon execution, execution the step of including above method embodiment;And foregoing storage medium includes: ROM, RAM, magnetic disc or CD etc. are various can be with the medium of store program codes.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on The part that technical scheme substantially in other words contributes to prior art is stated to embody in the form of software product, should Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers Make to cause a computer equipment (can be personal computer, server, or network equipment etc.) to perform each implementation Method described in some parts of example or embodiment.
What is finally illustrated is:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although ginseng The present invention is described in detail according to previous embodiment, it will be understood by those within the art that:It still can be with Technical scheme described in foregoing embodiments is modified, or equivalent substitution is carried out to which part technical characteristic;And These modifications are replaced, and the essence of appropriate technical solution is departed from the spirit and model of various embodiments of the present invention technical scheme Enclose.

Claims (10)

  1. A kind of 1. leaf image color antidote for rice shoot Growing state survey, it is characterised in that including:
    The first RGB color value of the color of image of the correction reference colour of predetermined time shooting is obtained, the predetermined time is described Correct the minimum shooting time of the color of image distortion level of reference colour;
    Obtain the second RGB color value of the color of image of the correction reference colour of any instant shooting;
    Compensation coefficient is obtained according to the first RGB color value and the second RGB color value;
    The color of the rice shoot leaf image shot according to the compensation coefficient to any instant is corrected.
  2. 2. according to the method for claim 1, it is characterised in that the correction reference colour is leaf green.
  3. 3. according to the method for claim 1, it is characterised in that described according to the first RGB color value and described second RGB color value obtains compensation coefficient, including:
    First coefficient is obtained according to the R values of the R values of the first RGB color value and the second RGB color value;
    Second coefficient is obtained according to the G values of the G values of the first RGB color value and the second RGB color value;
    3rd coefficient is obtained according to the B values of the B values of the first RGB color value and the second RGB color value;
    First coefficient, second coefficient and the 3rd coefficient are formed into the compensation coefficient.
  4. 4. according to the method for claim 3, it is characterised in that described that any instant is clapped according to the compensation coefficient The color for the rice shoot leaf image taken the photograph is corrected, including:
    The RGB color value of each pixel is carried out in the rice shoot leaf image shot according to the compensation coefficient to any instant Adjustment.
  5. 5. according to the method for claim 4, it is characterised in that described that any instant is clapped according to the compensation coefficient The RGB color value of each pixel is adjusted in the rice shoot leaf image taken the photograph, including:
    To the RGB color value of any pixel in the rice shoot leaf image of any instant shooting, adjusted according to first coefficient The R values of the RGB color value of whole any pixel, according to the G of the RGB color value of any pixel described in second coefficient adjustment Value, according to the B values of the RGB color value of any pixel described in the 3rd coefficient adjustment.
  6. 6. according to the method for claim 1, it is characterised in that the figure of the correction reference colour for obtaining predetermined time shooting As color the first RGB color value before, in addition to:
    Obtain the color of image every the correction reference colour of preset time shooting;
    Calculate the aberration of each color of image and the true colors of the correction reference colour of the correction reference colour;
    Shooting time that the minimum color of image of the aberration of true colors with the correction reference colour is corresponding is as described pre- If the moment.
  7. 7. according to the method for claim 1, it is characterised in that in each image for calculating the correction reference colour Color and the aberration of the true colors of the correction reference colour, including:
    For any image color of the correction reference colour, using any image color as target image color, obtain The RGB color value of the target image color;
    The RGB color value of the target image color is converted to the tristimulus values of the target image color, by the correction The RGB color value of the true colors of reference colour is converted to the tristimulus values of the true colors of the correction reference colour;
    According to the tristimulus values of the target image color and the tristimulus values of the true colors of the correction reference colour, institute is calculated State target image color and the aberration of the true colors of the correction reference colour.
  8. A kind of 8. leaf image color apparatus for correcting for rice shoot Growing state survey, it is characterised in that including:
    At least one processor;And at least one memory being connected with the processor communication, wherein:
    The memory storage have can by the programmed instruction of the computing device, the processor call described program instruction with Perform the method as described in claim 1 to 7 is any.
  9. 9. a kind of computer program product, it is characterised in that the computer program product includes being stored in non-transient computer Computer program on readable storage medium storing program for executing, the computer program include programmed instruction, when described program is instructed by computer During execution, the computer is set to perform the method as described in claim 1 to 7 is any.
  10. 10. a kind of non-transient computer readable storage medium storing program for executing, it is characterised in that the non-transient computer readable storage medium storing program for executing is deposited Computer program is stored up, the computer program makes the computer perform the method as described in claim 1 to 7 is any.
CN201711013630.2A 2017-10-26 2017-10-26 A kind of leaf image color antidote and device for rice shoot Growing state survey Pending CN107730471A (en)

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CN108416782A (en) * 2018-04-19 2018-08-17 云南佳叶现代农业发展有限公司 View-based access control model identifies and the tobacco leaf ranking method and system of illumination correction
CN108734747A (en) * 2018-05-23 2018-11-02 北京三才脉度网络科技有限公司 A kind of method of long-range correction picture aberration
CN108766084A (en) * 2018-05-03 2018-11-06 深圳市鹰硕技术有限公司 Show the teaching method and device of the simulation chemical experiment of flame reaction
CN110017816A (en) * 2019-04-28 2019-07-16 新疆师范大学 It is a kind of to take photo by plane the image flame detection device of measurement suitable for low-to-medium altitude aircraft
CN112215765A (en) * 2020-09-08 2021-01-12 北京农业智能装备技术研究中心 Robot vision color correction method and device under agricultural natural light environment
CN113923429A (en) * 2021-12-16 2022-01-11 成都索贝数码科技股份有限公司 Color correction method based on color card
CN113920037A (en) * 2021-12-14 2022-01-11 极限人工智能有限公司 Endoscope picture correction method, device, correction system and storage medium

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CN108416782A (en) * 2018-04-19 2018-08-17 云南佳叶现代农业发展有限公司 View-based access control model identifies and the tobacco leaf ranking method and system of illumination correction
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CN108766084A (en) * 2018-05-03 2018-11-06 深圳市鹰硕技术有限公司 Show the teaching method and device of the simulation chemical experiment of flame reaction
CN108734747A (en) * 2018-05-23 2018-11-02 北京三才脉度网络科技有限公司 A kind of method of long-range correction picture aberration
CN110017816A (en) * 2019-04-28 2019-07-16 新疆师范大学 It is a kind of to take photo by plane the image flame detection device of measurement suitable for low-to-medium altitude aircraft
CN112215765A (en) * 2020-09-08 2021-01-12 北京农业智能装备技术研究中心 Robot vision color correction method and device under agricultural natural light environment
CN112215765B (en) * 2020-09-08 2024-06-11 北京农业智能装备技术研究中心 Robot vision color correction method and device in agricultural natural light environment
CN113920037A (en) * 2021-12-14 2022-01-11 极限人工智能有限公司 Endoscope picture correction method, device, correction system and storage medium
CN113920037B (en) * 2021-12-14 2022-04-12 极限人工智能有限公司 Endoscope picture correction method, device, correction system and storage medium
CN113923429A (en) * 2021-12-16 2022-01-11 成都索贝数码科技股份有限公司 Color correction method based on color card

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