CN106909898A - Image intelligent analysing terminal and method in straw-returning monitoring - Google Patents
Image intelligent analysing terminal and method in straw-returning monitoring Download PDFInfo
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- CN106909898A CN106909898A CN201710101235.3A CN201710101235A CN106909898A CN 106909898 A CN106909898 A CN 106909898A CN 201710101235 A CN201710101235 A CN 201710101235A CN 106909898 A CN106909898 A CN 106909898A
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Abstract
The invention discloses image intelligent analysing terminal and method in straw-returning monitoring, including：Background server and the main frame on equipment；High-definition camera is connected with main frame, high-definition camera is used to gather the flow diagram picture of straw-returning；Background server is connected with main frame, and by operation image transmitting to background server, background server is analyzed treatment, obtains improving straw mulching rate with the Morphology Algorithm of image to flow diagram picture for main frame timing.The present invention judges the qualified area of straw-returning by improving straw mulching rate, it greatly improves the statistical accuracy of qualified area in straw-returning operation, reduce artificial link and improve monitoring efficiency, working area and qualified area in statistics straw-returning operation, country is provided subsidy according to qualified area, is improved subsidy and is provided authenticity.
Description
Technical field
The present invention relates to image analysis technology field, more particularly to image intelligent analysing terminal in straw-returning monitoring and
Method.
Background technology
Straw-returning is a well stimulation for culture fertility of most attention in the world today, is preventing crop straw burning
There is getting fat production-increasing function while caused atmosphere pollution.Straw-returning can increase the soil organism, improved soil structure,
Increase loosing soil, porosity, capacity mitigates, and promotes the development of microbial activity and crop root.Straw-returning getting fat increases
Product effect is notable, can typically increase production 5%~10%.《General Office, the People's Government of Heilongjiang Province is mended on implementing cultivated-land protection
The instruction of patch》File is proposed：Since autumn in 2016, actively push forward cultivated-land protection pilot, explore from arable land ground
Concentrated part fund in shield of trying hard to keep subsidy fund, the scale management main body to implementing subsoiling land preparation straw-returning is given subsidies, deep
Loose site preparation and 20 yuan of the subsidy in every mu of straw-returning plot, it is therefore desirable to which a station terminal equipment can be to the operation authenticity of straw-returning
And operation quality is precisely counted.
Existing straw-returning monitoring carries out monitor in real time to straw counters-field set by high-definition camera, but cannot be to adopting
The image of collection carries out intellectual analysis.Need artificially to judge whether operation plot has stalk after photo acquisition, estimate improving straw mulching rate.
Workload is larger, and calculation error is larger.Therefore need a kind of intellectual analysis device for calculating improving straw mulching rate in straw-returning operation.
The content of the invention
Weak point present in regarding to the issue above, the image intelligent analysis that the present invention is provided in straw-returning monitoring is whole
End and method.
To achieve the above object, the present invention provides the image intelligent analysing terminal in a kind of straw-returning monitoring, including：Afterwards
Platform server and the main frame on equipment；
High-definition camera is connected with the main frame, the high-definition camera is used to gather the flow diagram picture of straw-returning；
The background server is connected with the main frame, and the main frame is regularly by the operation image transmitting to background service
Device, the background server is analyzed treatment with the Morphology Algorithm of image to flow diagram picture, obtains improving straw mulching rate.
As a further improvement on the present invention, GPRS antenna, gps antenna are also associated with the main frame and for cognitron
Has the equipment identification module of job state；
The locating module for obtaining equipment location information is provided with the main frame and for entering with the background server
The wireless communication module of row data transfer.
As a further improvement on the present invention, it is additionally provided with spare interface on the main frame.
The present invention also provides the image intelligent analysis method in a kind of straw-returning monitoring, including：
Step 1, high-definition camera obtain the flow diagram picture of straw-returning；
Step 2, main frame are regularly by operation image transmitting to background server；
Step 3, background server carry out tone (H) treatment to flow diagram picture, and operation picture tone is obtained by MATLAB
(H) distribution curve；
Step 4, background server carry out saturation degree (S) treatment to flow diagram picture, and obtaining flow diagram picture by MATLAB satisfies
With degree (S) distribution curve；
Step 5, background server carry out lightness (V) treatment to flow diagram picture, and operation image brightness is obtained by MATLAB
(V) distribution curve；
Step 6, in order to be partitioned into stalk region in artwork, it is necessary to know the value of the HSV components in stalk region, that is,
Determine the threshold value of image segmentation, background server is cut out treatment to flow diagram picture, obtain improving straw mulching region photo；
Step 7, background server carry out tone (H) treatment to improving straw mulching region photo, and stalk is obtained by MATLAB
Overlay area photo tone (H) distribution curve；
Step 8, background server carry out saturation degree (S) treatment to improving straw mulching region photo, and straw are obtained by MATLAB
Stalk overlay area photo saturation degree (S) distribution curve；
Step 9, background server carry out lightness (V) treatment to improving straw mulching region photo, and stalk is obtained by MATLAB
Overlay area photo lightness (V) distribution curve；
Step 10, from HSV distribution curves, the distribution of the HSV in stalk region each component can be obtained accordingly
The threshold range of each component needed for being partitioned into stalk region, while needing to consider the fluctuation of each component, the threshold of final choice
Value scope is：0.006<H<0.18, S>0.08,0.4<V<0.8；
Step 11, background server determine the number of pixels in region according to final threshold range, divided by total picture in region
Prime number obtains the improving straw mulching rate in the region.
Compared with prior art, beneficial effects of the present invention are：
The present invention provides image intelligent analysing terminal and method in straw-returning monitoring, the high-definition camera reality on main frame
The IMAQ of existing straw-returning, and by image transmitting to background server, with the morphology of image in background server
Algorithm process image, obtains improving straw mulching rate, and the qualified area of straw-returning is judged by improving straw mulching rate；The present invention is carried significantly
The statistical accuracy of qualified area, reduces artificial link and improves monitoring efficiency in straw-returning operation high, counts straw-returning
Working area and qualified area in operation, country are provided subsidy according to qualified area, are improved subsidy and are provided authenticity.
Brief description of the drawings
Fig. 1 is the structure chart of the image intelligent analysing terminal in straw-returning monitoring disclosed in an embodiment of the present invention；
Fig. 2 is the flow chart of the image intelligent analysis method in straw-returning monitoring disclosed in an embodiment of the present invention；
Fig. 3 be background server disclosed in an embodiment of the present invention after threshold value to artwork by MATLAB treatment
Image afterwards；
Fig. 4 is the analysis result of the photo larger to stalk region of background server disclosed in an embodiment of the present invention
Figure；
Fig. 5 is analysis result of the background server to the less photo in stalk region disclosed in an embodiment of the present invention
Figure.
In figure：
1st, main frame；2nd, background server；3rd, high-definition camera；4th, GPRS antenna；5th, gps antenna；6th, equipment identification module；
7th, spare interface；8th, liquid crystal display；9th, charactron；10th, power interface and power switch.
Specific embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained on the premise of creative work is not made, belongs to the scope of protection of the invention.
As long as whether qualified or do not judge by high-definition camera Collecting operation photo artificial judgment operation in the prior art
Equipment Recognition feedback equipment type is counted as straw-returning area for straw-returning equipment；Asked as follows for existing in the prior art
Topic：Without image intelligent analytic function after high-definition camera collection photo, improving straw mulching amount efficiency is low, time-consuming in hand inspection photo
Long, the judgement to improving straw mulching rate is not accurate enough, directly results in and error occurs to the qualified area statistics of straw-returning operation.This
Invention provides image intelligent analysing terminal and method in straw-returning monitoring, and existing scheme high-definition camera is gathered photo by it
After upload to background server, in background server with image Morphology Algorithm treatment obtain improving straw mulching rate, pass through
Improving straw mulching rate judges the qualified area of straw-returning, and the present invention can realize the prison of straw-returning area on intelligent analysis terminal
Survey, while distinguishing working area and qualified area, the operation without stalk or non-total crop return is distinguished；It can maximum journey
Degree improves area accuracy, and unqualified area can be reduced, and helps country rationally to provide straw-returning subsidy.
The present invention is described in further detail below in conjunction with the accompanying drawings：
As shown in figure 1, the present invention provides the image intelligent analysing terminal in a kind of straw-returning monitoring, including：Backstage takes
Business device 2 and the main frame on equipment 1；
Main frame of the invention 1 is connected with high-definition camera 3, GPRS antenna 4, gps antenna 5 and equipment and recognizes mould by interface
Block 6, high-definition camera 3 is used to gather the flow diagram picture of straw-returning, and GPRS antenna is used for the stalk for gathering high-definition camera 3
Also flow diagram picture in field is wirelessly transferred, and gps antenna 5 is used to obtain the more specific location information of agricultural machinery, and equipment identification module 6 is used for
Recognize the job state of equipment.
Spare interface 7, liquid crystal display 8, the charactron 9 for connecting the equipment such as sensor are also left on main frame of the invention 1
With power interface and power switch 10；Locating module, wireless communication module and time block are provided with main frame 1, locating module is used
In equipment location information is obtained, it is connected with gps antenna 5；Wireless communication module is used to carry out data biography with background server 2
Defeated, it is connected with GPRS antenna 4；Time block is used for timing and carries out data transmission to background server 2.
Background server of the invention 2 is connected with main frame 1, the timing of main frame 1 by operation image transmitting to background server 2,
Background server 2 is analyzed treatment with the Morphology Algorithm of image to flow diagram picture, obtains improving straw mulching rate.
As shown in Fig. 2 the present invention provides the image intelligent analysis method in a kind of straw-returning monitoring, main frame can be with external
The first-class monitor and detection equipment of antenna, depth detection, high-definition camera, main frame has positioning and radio communication function, regularly believes positioning
Image uploads to background server when breath, depth information, job state, operation, with the form of image in background server
Learn the image after treatment binaryzation and be opened and closed computing.Opening operation：Etching operation is first carried out to image carries out expansive working again, can
To remove the isolated point outside target.Closed operation：Expansive working is first carried out to image carries out etching operation again, can remove in target
Hole.In HSV space, different color regions has different HSV components, can be to face by the threshold value for delimiting HSV components
Color split the stalk region for obtaining, and the number of pixels in region is the improving straw mulching rate for obtaining divided by total pixel number；Its is specific
Including：
Step 1, high-definition camera 3 obtain the flow diagram picture of straw-returning；
Step 2, the timing of main frame 1 are by operation image transmitting to background server 2；
Step 3, background server 2 carry out tone (H) treatment to flow diagram picture, and operation picture tone is obtained by MATLAB
(H) distribution curve, as shown in Figure 3；
Step 4, background server carry out saturation degree (S) treatment to flow diagram picture, and obtaining flow diagram picture by MATLAB satisfies
With degree (S) distribution curve, as shown in Figure 3；
Step 5, background server carry out lightness (V) treatment to flow diagram picture, and operation image brightness is obtained by MATLAB
(V) distribution curve, as shown in Figure 3；
Step 6, in order to be partitioned into stalk region in artwork, it is necessary to know the value of the HSV components in stalk region, that is,
Determine the threshold value of image segmentation, background server is cut out treatment to flow diagram picture, obtain improving straw mulching region photo；
Step 7, background server carry out tone (H) treatment to improving straw mulching region photo, and stalk is obtained by MATLAB
Overlay area photo tone (H) distribution curve；
Step 8, background server carry out saturation degree (S) treatment to improving straw mulching region photo, and straw are obtained by MATLAB
Stalk overlay area photo saturation degree (S) distribution curve；
Step 9, background server carry out lightness (V) treatment to improving straw mulching region photo, and stalk is obtained by MATLAB
Overlay area photo lightness (V) distribution curve；
Step 10, from HSV distribution curves, the distribution of the HSV in stalk region each component can be obtained accordingly
The threshold range of each component needed for being partitioned into stalk region, while needing to consider the fluctuation of each component, the threshold of final choice
Value scope is：0.006<H<0.18, S>0.08,0.4<V<0.8；
Step 11, background server determine the number of pixels in region according to final threshold range, divided by total picture in region
Prime number obtains the improving straw mulching rate in the region.
Background server as shown in Figure 4,5 understands that background server can be counted accurately to the analysis result of stalk photo
Calculate the coverage rate of stalk in the larger or smaller photo in stalk region.
The present invention provides image intelligent analysing terminal and method in straw-returning monitoring, the high-definition camera reality on main frame
The IMAQ of existing straw-returning, and by image transmitting to background server, with the morphology of image in background server
Algorithm process image, obtains improving straw mulching rate, and the qualified area of straw-returning is judged by improving straw mulching rate；The present invention is carried significantly
The statistical accuracy of qualified area, reduces artificial link and improves monitoring efficiency in straw-returning operation high, counts straw-returning
Working area and qualified area in operation, country are provided subsidy according to qualified area, are improved subsidy and are provided authenticity.
The preferred embodiments of the present invention are these are only, is not intended to limit the invention, for those skilled in the art
For member, the present invention can have various modifications and variations.All any modifications within the spirit and principles in the present invention, made,
Equivalent, improvement etc., should be included within the scope of the present invention.
Claims (4)
1. the image intelligent analysing terminal during a kind of straw-returning is monitored, it is characterised in that including：Background server and it is arranged on
Main frame on equipment；
High-definition camera is connected with the main frame, the high-definition camera is used to gather the flow diagram picture of straw-returning；
The background server is connected with the main frame, main frame timing by the operation image transmitting to background server,
The background server is analyzed treatment with the Morphology Algorithm of image to flow diagram picture, obtains improving straw mulching rate.
2. the image intelligent analysing terminal during straw-returning as claimed in claim 1 is monitored, it is characterised in that on the main frame
It is also associated with GPRS antenna, gps antenna and the equipment identification module for recognizing equipment job state；
The locating module for obtaining equipment location information is provided with the main frame and for entering line number with the background server
According to the wireless communication module of transmission.
3. the image intelligent analysing terminal during straw-returning as claimed in claim 1 is monitored, it is characterised in that on the main frame
It is additionally provided with spare interface.
4. the analysis of the image intelligent analysing terminal in a kind of straw-returning monitoring as any one of claims 1 to 3
Method, it is characterised in that including：
Step 1, high-definition camera obtain the flow diagram picture of straw-returning；
Step 2, main frame are regularly by operation image transmitting to background server；
Step 3, background server carry out tone (H) treatment to flow diagram picture, and operation picture tone (H) point is obtained by MATLAB
Cloth curve；
Step 4, background server carry out saturation degree (S) treatment to flow diagram picture, and operation image saturation is obtained by MATLAB
(S) distribution curve；
Step 5, background server carry out lightness (V) treatment to flow diagram picture, and operation image brightness (V) point is obtained by MATLAB
Cloth curve；
Step 6, in order to be partitioned into stalk region in artwork, it is necessary to know the value of the HSV components in stalk region, that is, determine
The threshold value of image segmentation, background server is cut out treatment to flow diagram picture, obtains improving straw mulching region photo；
Step 7, background server carry out tone (H) treatment to improving straw mulching region photo, and improving straw mulching is obtained by MATLAB
Region photo tone (H) distribution curve；
Step 8, background server carry out saturation degree (S) treatment to improving straw mulching region photo, obtain stalk by MATLAB and cover
Cover area photo saturation degree (S) distribution curve；
Step 9, background server carry out lightness (V) treatment to improving straw mulching region photo, and improving straw mulching is obtained by MATLAB
Region photo lightness (V) distribution curve；
Step 10, from HSV distribution curves, the distribution of the HSV in stalk region each component can be split accordingly
The threshold range of each component needed for going out stalk region, while needing to consider the fluctuation of each component, the threshold value model of final choice
Enclosing is：0.006<H<0.18, S>0.08,0.4<V<0.8；
Step 11, background server determine the number of pixels in region according to final threshold range, divided by the total pixel number in region
Obtain the improving straw mulching rate in the region.
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| CN110765931A (en) * | 2019-10-22 | 2020-02-07 | 黑龙江惠达科技发展有限公司 | Method and device for detecting straw coverage rate, storage medium and agricultural machine |
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Address after: 101403 No. 735, Huang Kan village, nine Du River town, Huairou District, Beijing Applicant after: Beijing Jingwei material Link Technology Co., Ltd. Address before: 100089 B1 17, No. 1 Zhongguancun Avenue, Haidian District, Beijing. Applicant before: Beijing Huida Zhi Nong Technology Co., Ltd. |
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Application publication date: 20170630 |