CN107644200A - Pest and disease damage gradient of infection detection method and system based on Android system - Google Patents
Pest and disease damage gradient of infection detection method and system based on Android system Download PDFInfo
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- CN107644200A CN107644200A CN201710761540.5A CN201710761540A CN107644200A CN 107644200 A CN107644200 A CN 107644200A CN 201710761540 A CN201710761540 A CN 201710761540A CN 107644200 A CN107644200 A CN 107644200A
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Abstract
The invention provides a kind of pest and disease damage gradient of infection detection method and system based on Android system.Method includes：The thermal infrared images of crop in crop area is obtained using the infrared imaging camera lens based on Android system；The thermal infrared images is pre-processed to obtain processing image；Split pest and disease damage region and background area in the processing image；The number of pixel in the pest and disease damage region and the background area is counted respectively, and pest and disease damage gradient of infection is calculated according to the number of the pixel.Technical solutions according to the invention gather the thermal infrared images of crop by the infrared imaging camera lens based on Android system, and thermal infrared images can be identified, realize the detection of pest and disease damage gradient of infection, can be when pest and disease damage be found, it is easy to be handled in time, reduces economic loss, good portability, accuracy is high, and reliability and real-time are good.
Description
Technical field
The present invention relates to thermal infrared images identification technology field, and in particular to a kind of pest and disease damage infection based on Android system
Degree detecting method and system.
Background technology
Generation of the pest and disease damage in agricultural production and harm are very frequently and serious, have brought economically huge
Big loss.The method that the detection method generally use field investigation of pest and disease damage and prediction are combined, and field investigation with it is pre-
Survey forecast and rely on artificial detection, this method requires that tester possesses higher quality, is familiar with business, so can just obtain compared with
Good effect, this results in artificial detection and error inevitably be present, is unfavorable for automating, efficiently managing for agricultural production.
With the continuous development of computer image processing technology, people start with computer generation and replace the mode manually observed
To diagnose pest and disease damage, the visible ray pest and disease damage image of shooting is uploaded onto the server end, the pest and disease damage completed with training in advance is special
Sign carries out match cognization its type, or the model completed with training in advance matches diagnosis pest and disease damage type, and this method will
The image of a kind of disease or insect pest can only be shot by asking, and the selection to pest and disease damage image requires that height, detection are not accurate enough.
Thermal infrared imaging technology can be according to the temperature difference drawing image showed between pest and disease damage and crop, can be fine
Identification pest and disease damage incidence, existing frequently-used thermal infrared imaging instrument cost is high, and is after obtaining pest and disease damage image
Incidence is estimated by artificial observation mode, it is impossible to draw the valid data of pest and disease damage infection conditions well.
The content of the invention
For in the prior art the defects of, the present invention provides a kind of pest and disease damage gradient of infection detection side based on Android system
Method and system, realize the detection to pest and disease damage gradient of infection and improve the portability and real-time of detection.
To achieve the above object, the present invention provides following technical scheme：
On the one hand, the invention provides a kind of pest and disease damage gradient of infection detection method based on Android system, including：
The thermal infrared images of crop in crop area is obtained using the infrared imaging camera lens based on Android system；
The thermal infrared images is pre-processed to obtain processing image；
Split pest and disease damage region and background area in the processing image；
The number of pixel in the pest and disease damage region and the background area is counted respectively, according to of the pixel
Number calculates pest and disease damage gradient of infection.
Further, methods described also includes：
Store the data of pest and disease damage gradient of infection and the specifying information of testing result is inquired about according to presupposed information.
Further, the presupposed information includes：Crop title and crop numbering；The specifying information bag of the testing result
Include：Crop title, crop numbering, collection date, acquisition time, crop infection area and crop infectiosity result.
Further, the step of being pre-processed to obtain processing image to the thermal infrared images, including：
Denoising is filtered to the thermal infrared images and obtains filtering image；
Image enhancement processing is carried out to the filtering image and obtains the processing image.
Further, pest and disease damage region is split in the processing image and the step of background area, including：
In hsv color space on S-H+1.5V passages, the processing image is divided using maximum variance between clusters
Cut to obtain bianry image, wherein, the first pixel value represents pest and disease damage region in the bianry image, and the second pixel value represents background
Region；
It is 0 and 255 to set the pixel value of the pixel in the pest and disease damage region and the pixel of the background area respectively；
The bianry image is handled using connected region domain method, removes the noise spot in the bianry image.
Further, the number of pixel in the pest and disease damage region and the background area is counted respectively according to the picture
The number of vegetarian refreshments calculates the step of pest and disease damage gradient of infection, including：
Using formula：A=M/ (M+N) calculates pest and disease damage gradient of infection；
Wherein, a is pest and disease damage gradient of infection, and M is the number of pixel in pest and disease damage region, and N is pixel in background area
The number of point.
On the other hand, present invention also offers a kind of pest and disease damage gradient of infection detecting system based on Android system, system
Including：
Acquisition module, for obtaining the thermal infrared of crop in crop area using the infrared imaging camera lens based on Android system
Image；
Processing module, for being pre-processed to obtain processing image to the thermal infrared images；
Modular converter, for splitting pest and disease damage region and background area in the processing image；
Computing module is counted, for counting the number of pixel in the pest and disease damage region and the background area respectively,
Pest and disease damage gradient of infection is calculated according to the number of the pixel.
Further, the system also includes：
Enquiry module is stored, for storing the data of pest and disease damage gradient of infection and inquiring about testing result according to presupposed information
Specifying information.
Further, the processing module, including：
Filter unit, filtering image is obtained for being filtered denoising to the thermal infrared images；
Image enhancing unit, the processing image is obtained for carrying out image enhancement processing to the filtering image.
Further, the modular converter, including
Cutting unit, for the S-H+1.5V passages in hsv color space, using maximum variance between clusters by the place
Reason image is split to obtain bianry image, wherein, the first pixel value represents pest and disease damage region, the second picture in the bianry image
Element value represents background area；
Setting unit, for setting the picture of the pixel in the pest and disease damage region and the pixel of the background area respectively
Element value is 0 and 255；
Optimize unit, for being handled using connected region domain method the bianry image, remove in the bianry image
Noise spot.
As shown from the above technical solution, a kind of pest and disease damage gradient of infection detection side based on Android system of the present invention
Method and system, the thermal infrared images of crop is gathered by the infrared imaging camera lens based on Android system, and can be to thermal infrared figure
As being identified, the detection of pest and disease damage gradient of infection is realized, can be easy to be handled in time when pest and disease damage is found, reduced
Economic loss, good portability, accuracy is high, and reliability and real-time are good.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are the present invention
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
Fig. 1 is a kind of flow of pest and disease damage gradient of infection detection method based on Android system provided in an embodiment of the present invention
Figure；
Fig. 2 is the stream of another pest and disease damage gradient of infection detection method based on Android system provided in an embodiment of the present invention
Cheng Tu；
Fig. 3 is step in a kind of pest and disease damage gradient of infection detection method based on Android system provided in an embodiment of the present invention
A kind of schematic flow sheet of S102 embodiment；
Fig. 4 is step in a kind of pest and disease damage gradient of infection detection method based on Android system provided in an embodiment of the present invention
A kind of schematic flow sheet of S103 embodiment；
Fig. 5 is a kind of structure of pest and disease damage gradient of infection detecting system based on Android system provided in an embodiment of the present invention
Schematic diagram.
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, clear, complete description is carried out to the technical scheme in the embodiment of the present invention, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.This hair
A kind of pest and disease damage gradient of infection detection method based on Android system that bright embodiment provides, referring to Fig. 1, this method specifically includes
Following steps：
S101：The thermal infrared images of crop in crop area is obtained using the infrared imaging camera lens based on Android system；
In this step, the thermal infrared images of crop in crop area is gathered by infrared thermal imaging camera lens, can be passed through
Mobile phone connects infrared thermal imaging camera lens, inputs the crop title and crop numbering of crop area, starts infrared thermal imaging camera lens and clap
The blade of crop infection pest and disease damage in crop area is taken the photograph, by image RNTO crop title _ crop during preservation image after shooting
Form as the date-time of numbering _ collection；The thermal infrared images of crop is stored into mobile phone.Due to the light of crop leaf
Cooperation is used, and is made in thermal-induced imagery, and the regional temperature height of infection pest and disease damage, brightness are big on blade, can the high, brightness by temperature
Big pest and disease damage infected zone is separated with the region of other normal blades, so as to obtain the area image of only pest and disease damage,
So can more preferable region pest and disease damage region, so as to follow-up calculating；Therefore the thermal infrared gathered by infrared thermal imaging camera lens
Image can substantially distinguish the blade of pest and disease damage region part and the blade of normal region part on blade.
S102：The thermal infrared images is pre-processed to obtain processing image；
In this step, the thermal infrared images of crop is obtained by above-mentioned steps S101, or reads other in mobile phone and sets
The thermal infrared images that preparation is brought.Distinguished and failed to understand due to the temperature in pest and disease damage region on crop leaf and normal region intersection
Make to occur on crop thermal infrared images noise due to shield portions on aobvious and blade, therefore, it is necessary to step S101 obtains work
The thermal infrared images of thing is handled, and is excluded the noise in thermal infrared images and is improved the differentiation of pest and disease damage region and normal region
Degree, realize the precision and accuracy for improving detection pest and disease damage region.
S103：Split pest and disease damage region and background area in the processing image；
In this step, pest and disease damage region in the thermal infrared images of crop is carried out with normal region according to step S102 bright
Aobvious differentiation obtains handling image.From the processing image on the S-H+1.5V passages on hsv color spatial model, by S-H+1.5V
Processing image division pest and disease damage region and background area (normal region i.e. in step S102 and step S103) on passage.
The discrimination of pest and disease damage region and normal region is further improved on the basis of step S102, realization further carries
The precision and accuracy in high detection pest and disease damage region.
S104：The number of pixel in the pest and disease damage region and the background area is counted respectively, according to the pixel
The number of point calculates pest and disease damage gradient of infection.
In this step, pest and disease damage region and background area are obtained by above-mentioned steps S103, counts above-mentioned steps respectively
The quantity of pixel in the pest and disease damage region obtained in S103 and background area, such as：Black, which is represented, with 0 represents pest and disease damage
Region, 255, which represent white, represents background area, and the pixel of white is counted by row, each row is scanned from top to bottom, finally obtains white
Total pixel number of total the pixel number and black portions of color part, pass through the picture in pest and disease damage region and background area
The quantity of vegetarian refreshments come calculate and represent pest and disease damage infection degree.Such as：The ratio table of background area is accounted for by pest and disease damage region
Show the degree of pest and disease damage infection, or the ratio expression disease pest of background area and pest and disease damage region sum is accounted for by pest and disease damage region
Evil infection degree, or in other way come represent pest and disease damage infection degree.Wherein, the ratio shared by pest and disease damage region
Example is bigger, then shows that the degree of pest and disease damage infection is deeper.
It was found from foregoing description, a kind of pest and disease damage gradient of infection detection method provided in an embodiment of the present invention, pass through collection
The thermal-induced imagery of crop, thermal-induced imagery can be identified, realize the detection of pest and disease damage gradient of infection, can be in disease pest
When evil is found, it is easy to be handled in time, reduces economic loss, and improve the accuracy of detection.
A kind of pest and disease damage gradient of infection detection method based on Android system provided in an embodiment of the present invention, should referring to Fig. 2
Method also comprises the following steps on the basis of above-described embodiment：
S105：Store the data of pest and disease damage gradient of infection and the specifying information of testing result is inquired about according to presupposed information.
In this step, the presupposed information includes：Crop title and crop numbering；The specifying information of the testing result
Including：Crop title, crop numbering, collection date, acquisition time, crop infection area and crop infectiosity result.User is defeated
The crop title entered or crop numbering, the thermal infrared images of the crop can be positioned according to the title of crop or numbering, according to heat
The order of infrared image and the testing result of thermal infrared images show the information of inquiry.In a kind of optional embodiment,
Provide in above-described embodiment, a kind of step S102 embodiment.Referring to Fig. 3, above-mentioned steps S102 specifically include as
Lower step：
S1021：Denoising is filtered to the thermal infrared images and obtains filtering image；
In this step, by being filtered denoising to the thermal infrared images of crop, exclude in thermal infrared images
Noise and the discrimination for improving pest and disease damage region and normal region.
S1022：Image enhancement processing is carried out to the filtering image and obtains the processing image.
In this step, original unsharp image is apparent from or emphasized some clarifications of objective, suppress non-targeted
Feature, be allowed to improve picture quality, strengthen image interpretation and recognition effect；Due to the color and edge mould of thermal-induced imagery
Paste, is handled figure from the method for image sharpening.
It was found from foregoing description, the present embodiment is realized by handling the thermal infrared images of crop and improves detection disease
The precision and accuracy of affected area.
In a kind of optional embodiment, there is provided a kind of above-mentioned steps S103 embodiment.Referring to Fig. 4, on
Step S103 is stated to specifically comprise the following steps：
S1031：The processing image is split to obtain bianry image using maximum variance between clusters, wherein, it is described
The first pixel value represents pest and disease damage region in bianry image, and the second pixel value represents background area；
In this step, processing image is changed on hsv color spatial model, and is converted into S-H+1.5V channel images,
S-H+1.5V channel images after conversion carry out maximum variance between clusters and carry out image segmentation, and maximum variance between clusters are split
After form bianry image, the region representation pest and disease damage region of a certain pixel value filling in bianry image, another pixel value filling
Region representation background area, obtain pest and disease damage region and background area.The letter in image can be conveniently extracted by bianry image
Breath, recognition efficiency can be increased during identification.By the way that processing image is changed to S-H+1.5V passages, with changing to channel S
Compare, the accurate recognition efficiency determined, improve image in this step of bianry image after segmentation can be improved.
S1032：It is 0 to set the pixel value of the pixel in the pest and disease damage region and the pixel of the background area respectively
With 255；
In this step, by setting two extreme values preferably to distinguish affected area and background area, it can also be passed through
His pixel value distinguishes affected area and background area.
S1033：The bianry image is handled using connected region domain method, removes the noise in the bianry image
Point.
In this step, by connected region domain method, to the noise spot in bianry image, the standard of the affected area of segmentation is improved
True property.
It was found from foregoing description, the present embodiment carries out dividing processing by the processing image to crop and is converted to binary map
Picture, realize the precision and accuracy for further improving detection pest and disease damage region.
In a kind of optional embodiment, there is provided a kind of above-mentioned steps S104 embodiment, above-mentioned steps
S104 specifically comprises the following steps：
Using formula：A=M/ (M+N) calculates pest and disease damage gradient of infection；
Wherein, a is pest and disease damage gradient of infection, and M is the number of pixel in pest and disease damage region, and N is pixel in background area
The number of point.
In this step, if a≤30%, judge that diseases and pests of agronomic crop gradient of infection is I levels；
If 30%<A≤50%, then judge that diseases and pests of agronomic crop gradient of infection is II levels；
If 50%<A≤70%, then judge that diseases and pests of agronomic crop gradient of infection is III level；
If 70%<A, then judge that diseases and pests of agronomic crop gradient of infection is IV levels.
In above-mentioned decision scheme, although the grade of diseases and pests of agronomic crop gradient of infection is defined as I~IV levels, but pest and disease damage
The grade of gradient of infection and the upper lower limit value of grade can make as needed it is appropriate increase or decrease, to meet different product
The crops of kind, different desired actual demands.
The embodiments of the invention provide a kind of pest and disease damage gradient of infection detecting system, referring to Fig. 5, system includes：
Acquisition module 10, for obtaining the thermal infrared images of crop in crop area；
Processing module 20, for being pre-processed to obtain processing image to the thermal infrared images；
Modular converter 30, for splitting pest and disease damage region and background area in the processing image；
Computing module 40 is counted, for counting of pixel in the pest and disease damage region and the background area respectively
Number, pest and disease damage gradient of infection is calculated according to the number of the pixel.
Also include：Enquiry module 50 is stored, for storing the data of pest and disease damage gradient of infection and being inquired about according to presupposed information
The specifying information of testing result.
Further, processing module 20, including：
Filter unit 201, filtering image is obtained for being filtered denoising to the thermal infrared images；
Image enhancing unit 202, the processing image is obtained for carrying out image enhancement processing to the filtering image.
Further, modular converter 30, including
Cutting unit 301, for the processing image to be split to obtain bianry image using maximum variance between clusters,
Wherein, the first pixel value represents pest and disease damage region in the bianry image, and the second pixel value represents background area；
Setting unit 302, for setting the pixel in the pest and disease damage region and the pixel of the background area respectively
Pixel value be 0 and 255；
Optimize unit 303, for being handled using connected region domain method the bianry image, remove the bianry image
In noise spot.
As shown from the above technical solution, a kind of pest and disease damage gradient of infection detecting system of the present invention, made by gathering
The thermal-induced imagery of thing, thermal-induced imagery can be identified, realize the detection of pest and disease damage gradient of infection, can be in pest and disease damage
It was found that when, it is easy to be handled in time, reduces economic loss, accuracy is high, and reliability and real-time are good.
In the specification of the present invention, numerous specific details are set forth.Although it is understood that embodiments of the invention can
To be put into practice in the case of these no details.In some instances, known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.Similarly, it will be appreciated that disclose in order to simplify the present invention and helps to understand respectively
One or more of individual inventive aspect, in the description to the exemplary embodiment of the present invention above, each spy of the invention
Sign is grouped together into single embodiment, figure or descriptions thereof sometimes.However, should not be by the method solution of the disclosure
Release and be intended in reflection is following：I.e. the present invention for required protection requirement is than the feature that is expressly recited in each claim more
More features.More precisely, as the following claims reflect, inventive aspect is to be less than single reality disclosed above
Apply all features of example.Therefore, it then follows thus claims of embodiment are expressly incorporated in the embodiment,
Wherein each claim is in itself as separate embodiments of the invention.It should be noted that in the case where not conflicting, this
The feature in embodiment and embodiment in application can be mutually combined.The invention is not limited in any single aspect,
Any single embodiment is not limited to, is also not limited to any combination and/or the displacement of these aspects and/or embodiment.And
And can be used alone the present invention each aspect and/or embodiment or with other one or more aspects and/or its implementation
Example is used in combination.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover among the claim of the present invention and the scope of specification.
Claims (10)
1. a kind of pest and disease damage gradient of infection detection method based on Android system, it is characterised in that methods described includes：
The thermal infrared images of crop in crop area is obtained using the infrared imaging camera lens based on Android system；
The thermal infrared images is pre-processed to obtain processing image；
Split pest and disease damage region and background area in the processing image；
The number of pixel in the pest and disease damage region and the background area is counted respectively, according to the number meter of the pixel
Calculate pest and disease damage gradient of infection.
2. the pest and disease damage gradient of infection detection method according to claim 1 based on Android system, it is characterised in that described
Method also includes：
Store the data of pest and disease damage gradient of infection and the specifying information of testing result is inquired about according to presupposed information.
3. the pest and disease damage gradient of infection detection method according to claim 2 based on Android system, it is characterised in that described
Presupposed information includes：Crop title and crop numbering；The specifying information of the testing result includes：Crop title, crop numbering,
Gather date, acquisition time, crop infection area and crop infectiosity result.
4. the pest and disease damage gradient of infection detection method according to claim 1 or 2 based on Android system, it is characterised in that
The step of being pre-processed to obtain processing image to the thermal infrared images, including：
Denoising is filtered to the thermal infrared images and obtains filtering image；
Image enhancement processing is carried out to the filtering image and obtains the processing image.
5. the pest and disease damage gradient of infection detection method according to claim 1 or 2 based on Android system, it is characterised in that
Split in the processing image pest and disease damage region and the step of background area, including：
In hsv color space on S-H+1.5V passages, the processing image split using maximum variance between clusters
To bianry image, wherein, the first pixel value represents pest and disease damage region in the bianry image, and the second pixel value represents background area
Domain；
It is 0 and 255 to set the pixel value of the pixel in the pest and disease damage region and the pixel of the background area respectively；
The bianry image is handled using connected region domain method, removes the noise spot in the bianry image.
6. the pest and disease damage gradient of infection detection method according to claim 1 or 2 based on Android system, it is characterised in that
The number for counting pixel in the pest and disease damage region and the background area respectively calculates disease according to the number of the pixel
The step of insect pest gradient of infection, including：
Using formula：A=M/ (M+N) calculates pest and disease damage gradient of infection；
Wherein, a is pest and disease damage gradient of infection, and M is the number of pixel in pest and disease damage region, and N is pixel in background area
Number.
7. a kind of pest and disease damage gradient of infection detecting system based on Android system, it is characterised in that the system includes：
Acquisition module, for obtaining the thermal infrared figure of crop in crop area using the infrared imaging camera lens based on Android system
Picture；
Processing module, for being pre-processed to obtain processing image to the thermal infrared images；
Modular converter, for splitting pest and disease damage region and background area in the processing image；
Computing module is counted, for counting the number of pixel in the pest and disease damage region and the background area respectively, according to
The number of the pixel calculates pest and disease damage gradient of infection.
8. the pest and disease damage gradient of infection detecting system according to claim 7 based on Android system, it is characterised in that described
System also includes：
Enquiry module is stored, for storing the data of pest and disease damage gradient of infection and inquiring about the specific of testing result according to presupposed information
Information.
9. the pest and disease damage gradient of infection detecting system based on Android system according to claim 7 or 8, it is characterised in that
The processing module, including：
Filter unit, filtering image is obtained for being filtered denoising to the thermal infrared images；
Image enhancing unit, the processing image is obtained for carrying out image enhancement processing to the filtering image.
10. the pest and disease damage gradient of infection detecting system based on Android system according to claim 7 or 8, it is characterised in that
The modular converter, including
Cutting unit, for the S-H+1.5V passages in hsv color space, the processing is schemed using maximum variance between clusters
As being split to obtain bianry image, wherein, the first pixel value represents pest and disease damage region, the second pixel value in the bianry image
Represent background area；
Setting unit, for setting the pixel value of the pixel in the pest and disease damage region and the pixel of the background area respectively
For 0 and 255；
Optimize unit, for being handled using connected region domain method the bianry image, remove making an uproar in the bianry image
Sound point.
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