CN110363807A - Based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image - Google Patents
Based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image Download PDFInfo
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- CN110363807A CN110363807A CN201910579769.6A CN201910579769A CN110363807A CN 110363807 A CN110363807 A CN 110363807A CN 201910579769 A CN201910579769 A CN 201910579769A CN 110363807 A CN110363807 A CN 110363807A
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- 229920000742 Cotton Polymers 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012545 processing Methods 0.000 claims abstract description 5
- 238000005259 measurement Methods 0.000 abstract description 8
- 239000011111 cardboard Substances 0.000 abstract description 4
- 239000000123 paper Substances 0.000 description 12
- 230000005540 biological transmission Effects 0.000 description 2
- 230000001066 destructive effect Effects 0.000 description 2
- 230000012010 growth Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 238000000338 in vitro Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000011087 paperboard Substances 0.000 description 1
- 230000029553 photosynthesis Effects 0.000 description 1
- 238000010672 photosynthesis Methods 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/28—Measuring arrangements characterised by the use of optical techniques for measuring areas
- G01B11/285—Measuring arrangements characterised by the use of optical techniques for measuring areas using photoelectric detection means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
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- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses a kind of based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image, and specific steps include: step 1: cotton leaf being fitted in the background of rule completely, and take pictures to obtain original image；Step 2: cutting the original image, obtains an image；Step 3: an image carries out second order processing, obtains second order image；Step 4: the ratio between white black pixel of the second order image is calculated；Step 5: true cotton leaf area is obtained.The present disclosure provides a kind of based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image, portable mobile phone or camera and an A4 white board are only needed when implementing, camera can far can be close at a distance from cardboard when taking pictures, it is easy to operate, image procossing can be carried out with Matlab batch, measurement result is accurate, and error is controllable.
Description
Technical field
The present invention relates to growth information field of measuring technique, more particularly to a kind of high-throughput based on RGB image
The lossless method for obtaining field cotton Efficient leaf area.
Background technique
Crop leaf area is all an important plant growth parameter, blade face for the scientific research project for being much related to crop
The photosynthesis that long-pending size directly influences crop utilizes the size of sun light area, eventually affects the height of yield, surveys
The data of leaf area can be used to Guiding Practice out, the parameter it is accurate whether for these scientific research projects have positive meaning.
The measurement higher method of leaf area accuracy has weight method, gridding method etc. in the prior art, but weight method is needed from crop
A large amount of blade is acquired, carries out destructive measurement, and measuring process is very cumbersome, gridding method also belongs to destructive measurement,
The normal growth of crop is influenced, and speed is slow, required time is long.In view of these situations, use is had also appeared in the prior art
Laser ranging, positioning, then leaf area is measured using image procossing method, but first laser positioning and distance-measuring equipment compared with
Valuableness should not be generally applicable in, and the image processing method secondly used is not the principle for complying fully with leaf recognition, will cause blade face
The error that product calculates.
In addition, being in the prior art to obtain image using advanced equipments of high grade and precision about acquisition blade face area, to guarantee to calculate essence
Degree, although however ensure that leaf area computational accuracy, expensive equipment is unable to get large-scale popularization.
Therefore, it is accurate based on the high-throughput lossless acquisition field effective blade face of cotton of RGB image how to provide a kind of calculating
The problem of long-pending method is those skilled in the art's urgent need to resolve.
Summary of the invention
In view of this, the present invention provides one kind based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
Method, it is accurate that leaf area calculates,, need to be complete by blade without adjusting camera lens and background distance without expensive capture apparatus
Full shooting.
To achieve the goals above, the invention provides the following technical scheme:
A method of based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image, specific steps include:
Step 1: cotton leaf is fitted in the background of rule completely, and takes pictures to obtain original image；
Step 2: cutting the original image, obtains an image；
Step 3: an image carries out second order processing, obtains second order image；
Step 4: the ratio between white black pixel of the second order image is calculated；
Step 5: true cotton leaf area is obtained.
Preferably, in a kind of above-mentioned method based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
In, in the step 1, photo is fully contemplated by cotton leaf and background when taking pictures.
Preferably, in a kind of above-mentioned method based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
In, in the step 2, background is cut into square on the basis of one side of background, cotton leaf is fallen completely within into square
It is interior.
Preferably, in a kind of above-mentioned method based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
In, the background color is white.
Preferably, in a kind of above-mentioned method based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
In, second order processing is carried out to an image using matlab.
Preferably, in a kind of above-mentioned method based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
In, the ratio between white black pixel is PW:PB in step 4.
Preferably, in a kind of above-mentioned method based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
In, cotton leaf areaWherein S ' expression background area.
It can be seen via above technical scheme that compared with prior art, the present disclosure provides one kind to be based on RGB image
The high-throughput lossless method for obtaining field cotton Efficient leaf area, only needed when implementing portable mobile phone or camera and
One A4 white board, when taking pictures camera at a distance from cardboard can far can be close, it is easy to operate, image procossing can with Matlab batch into
Row, measurement result is accurate, and error is controllable.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is flow chart of the invention；
Fig. 2 is second order picture schematic diagram of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a kind of based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
Method, it is not necessary that cotton leaf to be measured is in vitro, and measure it is accurate.
A method of it is described to be schemed based on RGB based on the high-throughput lossless acquisition field cotton Efficient leaf area of RGB image
The lossless method for obtaining field cotton Efficient leaf area of image height flux includes the following steps:
1) the white A4 paper (210*297mm) of standard, area 62.37cm2 are used, and blank sheet of paper is attached to light modeling
On flitch or hardboard；
2) make background using white A4 paper to take pictures in field to cotton leaf to be measured；
3) drawing software carried using computer cuts out photo around blank sheet of paper edge, according to white A4 paper broadside be one side into
Row is cut；
4) Matlab batch second order picture is utilized, and calculating white black pixel sum is PW and PB；
5) true area for calculating measured leaf in batches is S,Unit is cm2。
In an embodiment of the present invention, described take pictures in field to cotton leaf to be measured includes the following steps:
1) cotton blade to be measured is lightly attached at white A4 paper, cotton leaf is as close as possible to one edge of cardboard, no
Divide up and down；
2) mobile phone is directed at white A4 paper, photograph includes A4 blank sheet of paper completely, and mobile phone camera and A4 paper are parallel as far as possible, and distance is suitable
In.
3) all photos of acquisition are stored in computer according to serial number Uniform Name.
In an embodiment of the present invention, the drawing software carried using computer cuts out photo packet around blank sheet of paper edge
Include following steps:
1) photo is opened with the drawing software that computer carries, and zooming to computer desktop can completely see subject to photo；
2) a line of white A4 paper of being subject to cuts photo, obtains a square picture；A4 paper slightly inclines in such as figure
Figure correction can be tiltedly carried out, as far as possible reduction paperboard rectangular shape.
In an embodiment of the present invention, using Matlab batch second order picture, and calculate white black pixel be PW and
PB includes the following steps:
1) photo cut is stored under matlab destination folder, files=dir (' * .jpg')；
2) batch reads in original image imread (files (i) .name)；
3) reading of RGB image pixel and Single matrix, redChannel=rgbImage (::, 1)；
GreenChannel=rgbImage (::, 2)；BlueChannel=rgbImage (::, 3)；Red=single
(redChannel)；Green=single (greenChannel)；Blue=single (blueChannel)；
4) RGB average value, redMean (i)=mean (mean (red)) are calculated；GreenMean (i)=mean (mean
(green))；BlueMean (i)=mean (mean (blue))；
5) rdivide, roicolor second order picture are utilized；
6) monochrome pixels total amount sum is calculated
7) batch signatures are to Excel, Files=1:numel (files)；xlswrite
Application examples:
| Blade number | Li-3100C area meter apparatus measures result | This method |
| 1 | 117.24 | 118.93 |
| 2 | 63.29 | 63.82 |
| 3 | 117.82 | 119.91 |
Blade is sent into the analyzer for having fluorescent light source by transmission belt by Li-3100C area meter leaf area instrument,
When blade passes through fluorescent light source, image by mirror-reflection to being fixed on the smear camera at instrument rear portion, it is this solely
Special optical design greatly improves the accuracy of measurement.In addition, adjustable compression type roller can make the blade of curling
It flattens, and makes it just at the accuracy between two transparent transmission belts, guaranteeing measurement, but the leaf area instrument is used to need
Blade is removed and is detected, and detection process is cumbersome, while prices are rather stiff for the leaf area instrument, for commonly using
Family or small-scale use are simultaneously not suitable for.The method of the present embodiment compared with Li-3100C area meter leaf area instrument,
It is simple to operate, it is at low cost, portable mobile phone or camera and an A4 white board are only needed when implementing, when taking pictures
Camera at a distance from cardboard can far can be close, it is easy to operate, image procossing can with Matlab batch carry out, measurement result is accurate, mistake
It is poor controllable；Simultaneously without taking blade, lossless is reached to blade, generalization is strong in a word, can be widely used.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (6)
1. a kind of based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image, which is characterized in that specific step
Suddenly include:
Step 1: cotton leaf is fitted in the background of rule completely, and takes pictures to obtain original image；
Step 2: cutting the original image, obtains an image；
Step 3: an image carries out second order processing, obtains second order image；
Step 4: the ratio between white black pixel of the second order image is calculated；
Step 5: true cotton leaf area is obtained.
2. according to claim 1 a kind of based on the high-throughput lossless side for obtaining field cotton Efficient leaf area of RGB image
Method, which is characterized in that in the step 1, photo is fully contemplated by cotton leaf and background when taking pictures.
3. according to claim 1 a kind of based on the high-throughput lossless side for obtaining field cotton Efficient leaf area of RGB image
Method, which is characterized in that the background color is white.
4. a kind of method based on the lossless acquisition field cotton Efficient leaf area of RGB image high pass according to claim 1,
It is characterized in that, carrying out second order processing to an image using matlab.
5. a kind of method based on the lossless acquisition field cotton Efficient leaf area of RGB image high pass according to claim 1,
It is characterized in that, the ratio between white black pixel is PW:PB in step 4.
6. a kind of method based on the lossless acquisition field cotton Efficient leaf area of RGB image high pass according to claim 1,
It is characterized in that, cotton leaf areaWherein S ' expression background area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910579769.6A CN110363807A (en) | 2019-06-28 | 2019-06-28 | Based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910579769.6A CN110363807A (en) | 2019-06-28 | 2019-06-28 | Based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image |
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| CN201910579769.6A Pending CN110363807A (en) | 2019-06-28 | 2019-06-28 | Based on the high-throughput lossless method for obtaining field cotton Efficient leaf area of RGB image |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114486768A (en) * | 2021-12-24 | 2022-05-13 | 石河子大学 | Seed cotton color grade detection device for seed cotton purchasing link and grading method thereof |
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2019
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114486768A (en) * | 2021-12-24 | 2022-05-13 | 石河子大学 | Seed cotton color grade detection device for seed cotton purchasing link and grading method thereof |
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Application publication date: 20191022 |