CN107180231B - Shared bicycle Weigh sensor system - Google Patents
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Abstract
The present invention relates to a kind of shared bicycle Weigh sensor system, including horizontal measuring instrument, it is arranged on the vertical beam of shared bicycle；Bubble regime detection device, be connected with the horizontal measuring instrument, when it is determined that the vertical beam of shared bicycle be in upright state, send the first setting signal, it is determined that shared bicycle vertical beam in couch state when, send first and couch signal；Remote sensing starting device, receive described first couch signal when, open the data receiver to remote sensing satellite, receive it is described first erect signal when, close the data receiver to remote sensing satellite；Remote sensing images receiving device, under the control of the remote sensing starting device, the data receiver to remote sensing satellite is turned on and off, the data received from remote sensing satellite are remote sensing images.
Description
Technical field
The present invention relates to shared bicycle field, more particularly to a kind of shared bicycle Weigh sensor system.
Background technology
Third party's data research mechanism up to consulting than issuing a few days ago《The shared bicycle market intelligence of 2016 China》It is aobvious
Show, by the end of the year 2016, the shared bicycle market entirety number of users of China has reached 18,860,000, it is contemplated that 2017, shares bicycle
Marketing users scale increases substantially holding is continued, and the end of the year will be up to 50,000,000 userbases.
Report points out that the shared bicycle market of China has been subjected to three developing stage.2007-2010 are the first rank
Section, the country is introduced by the public bicycle pattern of foreign countries' rise, divides city management by Government-Leading, mostly there is a bicycle.
2010-2014 are second stage, and the enterprise for dealing exclusively in bicycle market starts to occur, but public bicycle is still to there is stake list
Based on car.2014 are the phase III so far, and with the fast development of mobile Internet, the internet headed by OFO is shared single
Car arises at the historic moment, and more easily starting substitution without stake bicycle has a bicycle.
Report display, at present, OFO and two business excellences of Mo Bai are obvious in the shared bicycle market of China, wherein,
OFO bicycle injected volumes are most, reach 800,000, occupation rate of market 51.2%；Rub and visit 600,000, bicycle, occupation rate of market
40.1%.
Report also shows that shared bicycle is more welcome by young men.Male's accounting 54.2% in the shared bicycle user of China,
Women accounting 45.8%.In age of user distribution, crowd is used at most, next to that less than 25 years old crowd within 25 years old -35 years old.Use
In frequency, the user weekly using 3 times -4 times is most.
With flourishing for shared bicycle, some problems itself brought also emerge, and have to be solved.For example,
Because shared bicycle distribution is excessively scattered, its operator be difficult the substantial amounts of man power and material of distribution carry out shared bicycle repairing and
Safeguard, cause some shared bicycles to be chronically at the state fallen down, at this moment, not only influence urban landscape, and client can be reduced
Desire of riding, so as to form vicious circle.
The content of the invention
In order to solve the above problems, the invention provides a kind of shared bicycle Weigh sensor system, is detected using level
The pattern of remote Sensing Image Analysis after instrument detection, while not impact analysis result, is reduced and is carried out using cumbersome remote sensing images
The number of analysis, so as to improve the efficiency and precision of tilt state detection, when particularly important, employ targetedly,
High-precision image filtering tupe, image content-based carry out adaptive filtering process step by step, improved to be detected
The definition of remote sensing images.
According to an aspect of the present invention, there is provided a kind of shared bicycle Weigh sensor system, the system include：
Horizontal measuring instrument, it is arranged on the vertical beam of shared bicycle, for determining shared bicycle based on bubble regime therein
Vertical beam whether be in upright state；
Bubble regime detection device, it is connected with the horizontal measuring instrument, for it is determined that the vertical beam of shared bicycle is in perpendicular
During vertical state, the first setting signal is sent, is couched letter it is determined that the vertical beam of shared bicycle is in when couching state, sending first
Number；
Remote sensing starting device, it is connected with the bubble regime detection device, for couching signal receiving described first
When, the data receiver to remote sensing satellite is opened, when receiving the first setting signal, closes and the data of remote sensing satellite is connect
Receive；
Remote sensing images receiving device, it is connected with the remote sensing starting device, for the control in the remote sensing starting device
Under, the data receiver to remote sensing satellite is turned on and off, the data received from remote sensing satellite are remote sensing images.
More specifically, in the shared bicycle Weigh sensor system, in addition to：
First filter apparatus, it is connected with the remote sensing images receiving device, for receiving remote sensing images, to the remote sensing figure
As performing wavelet filtering processing, Wiener filtering processing, median filter process and Gassian low-pass filter processing simultaneously, to obtain respectively
First filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image, at the same to first filtering image,
Second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to obtain the respectively
One signal to noise ratio, the second signal to noise ratio, the 3rd signal to noise ratio and the 4th signal to noise ratio, the maximum letter of numerical value is selected from four signal to noise ratio
Make an uproar and be used for target signal to noise ratio, using filtering image corresponding to target signal to noise ratio as target filtering image；
Edge strengthens equipment, is connected with first filter apparatus, for carrying out edge increasing to the target filtering image
Manage to obtain edge enhanced images strength.
More specifically, in the shared bicycle Weigh sensor system, in addition to：
Noise analysis equipment, with the edge enhancing equipment be connected, for the edge enhanced images progress noise into
Decompose analysis with obtain in the edge enhanced images various noise types and respectively corresponding to each noise signal composition, obtaining
Three noise signal compositions of amplitude maximum are selected in each noise signal composition obtained and are sorted from big to small according to amplitude
Respectively as the first noise signal composition, the second noise signal composition and the 3rd noise signal composition；
Second filter apparatus, strengthen equipment and the noise analysis equipment with the edge respectively and be connected, for from image
It is corresponding respectively with the first noise signal composition, the second noise signal composition and the 3rd noise signal composition to filter search in template library
Image filtering masterplate using as first filtering masterplate, second filtering masterplate and the 3rd filtering masterplate, based on described first filtering
Masterplate, the second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain most to the edge enhanced images
Whole filtering image；
Image recognition apparatus, it is connected with second filter apparatus, for receiving the final filtering image, and to described
Final filtering image carries out target identification and dbjective state analysis, to determine that the shared bicycle in the final filtering image is
It is no to couch formula profile, if it is not, then send the second setting signal, couched signal if it is, sending second；
Adaptive pricing equipment, be connected with described image identification equipment, for receive second couch signal when, for choosing
The bicyclist for selecting shared bicycle corresponding to riding formulates amount of money award, is receiving the second setting signal, is ridden correspondingly for selection
Shared bicycle bicyclist formulate toll amount；
Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the described 3rd
Filtering masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First filtered using described first
Ripple masterplate performs filtering process to the edge enhanced images, obtains the first median filter image, reuses second filtering
Masterplate performs filtering process to the first median filter image, the second median filter image is obtained, finally using the described 3rd
Filter masterplate and filtering process is performed to the second median filter image, obtain final filtering image.
More specifically, in the shared bicycle Weigh sensor system, in addition to：The Big Dipper navigation equipment, for reality
When the Present navigation data of shared bicycle are provided.
More specifically, in the shared bicycle Weigh sensor system：Described image identification equipment and described the Big Dipper
Navigation equipment connects, and described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed,
To determine whether the shared bicycle in the final filtering image is that the formula profile that couches includes：The Present navigation data are received,
The target identification of shared bicycle is carried out from the final filtering image based on the Present navigation data, to determine and be partitioned into institute
State the shared bicycle subgraph in final filtering image.
More specifically, in the shared bicycle Weigh sensor system：Described image identification equipment is to the final filter
Whether ripple image carries out target identification and dbjective state analysis, be horizontal with the shared bicycle determined in the final filtering image
The formula profile of lying also includes：The matching result of bicycle pattern is shared based on the shared bicycle subgraph and benchmark, it is determined that it is described most
Whether the shared bicycle in whole filtering image is the formula profile that couches.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is the block diagram of the shared bicycle Weigh sensor system according to embodiment of the present invention.
Fig. 2 is the step flow chart of the shared bicycle Weigh sensor method according to embodiment of the present invention.
Reference：1 horizontal measuring instrument；2 bubble regime detection devices；3 remote sensing starting devices；4 remote sensing images are received and set
It is standby；S101 determines shared bicycle using the horizontal measuring instrument being arranged on the vertical beam of shared bicycle based on bubble regime therein
Vertical beam whether be in upright state；S102 sends the first setting letter when it is determined that the vertical beam of shared bicycle is in upright state
Number, couched signal it is determined that the vertical beam of shared bicycle is in when couching state, sending first；S103 is receiving first horizontal stroke
Lie signal when, open the data receiver to remote sensing satellite, receive it is described first erect signal when, close to remote sensing satellite
Data receiver
Embodiment
The embodiment of the shared bicycle Weigh sensor method of the present invention is described in detail below with reference to accompanying drawings.
Currently, because the development speed for sharing bicycle is very fast, its final-period management and Maintenance Difficulty are to keep up with increasing for its quantity.
Meanwhile it is different from net about car, the operation of bicycle is influenceed also bigger by seasonal variations, weather conditions etc..As for meeting typhoon
Heavy rain, then no matter be located in where, the order volume of public bicycles trip, all can straight line decline and be even zeroed, and platform must face
Depreciable cost is damaged to higher car.Compared with the public bicycles of " having stake ", this " the no stake " taken and stopped at any time
While theory brings great convenience to citizen, also cause " random road occupying " phenomenon of " small screw oil expeller " and " little Huang cars " more general
Time, the management of city space thus becomes more difficult.
Due to disorderly parking or the reasons such as strong wind is blown down, once shared bicycle is in traverse state, customer is ready the heart ridden
State produces change immediately, and they may select those to seem to safeguard in good condition and put neat vehicle and ridden,
So, after long-time, the shared bicycle of traverse can be further outmoded or even scrapped, and great economic loss is caused to operator.
In order to overcome above-mentioned deficiency, the present invention has built a kind of shared bicycle Weigh sensor system and method, Neng Gouli
Judge whether shared bicycle is in tilt state, and notifying backstage in time under tilt state and carried for bicyclist
For the condition of riding, so as to reach the effect of self and management, the financial cost of operator is reduced.
Fig. 1 is the block diagram of the shared bicycle Weigh sensor system according to embodiment of the present invention, described
System includes：
Horizontal measuring instrument, it is arranged on the vertical beam of shared bicycle, for determining shared bicycle based on bubble regime therein
Vertical beam whether be in upright state；
Bubble regime detection device, it is connected with the horizontal measuring instrument, for it is determined that the vertical beam of shared bicycle is in perpendicular
During vertical state, the first setting signal is sent, is couched letter it is determined that the vertical beam of shared bicycle is in when couching state, sending first
Number；
Remote sensing starting device, it is connected with the bubble regime detection device, for couching signal receiving described first
When, the data receiver to remote sensing satellite is opened, when receiving the first setting signal, closes and the data of remote sensing satellite is connect
Receive；
Remote sensing images receiving device, it is connected with the remote sensing starting device, for the control in the remote sensing starting device
Under, the data receiver to remote sensing satellite is turned on and off, the data received from remote sensing satellite are remote sensing images.
Then, continue that the concrete structure of the shared bicycle Weigh sensor system of the present invention is further detailed.
In the shared bicycle Weigh sensor system, in addition to：
First filter apparatus, it is connected with the remote sensing images receiving device, for receiving remote sensing images, to the remote sensing figure
As performing wavelet filtering processing, Wiener filtering processing, median filter process and Gassian low-pass filter processing simultaneously, to obtain respectively
First filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image, at the same to first filtering image,
Second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to obtain the respectively
One signal to noise ratio, the second signal to noise ratio, the 3rd signal to noise ratio and the 4th signal to noise ratio, the maximum letter of numerical value is selected from four signal to noise ratio
Make an uproar and be used for target signal to noise ratio, using filtering image corresponding to target signal to noise ratio as target filtering image；
Edge strengthens equipment, is connected with first filter apparatus, for carrying out edge increasing to the target filtering image
Manage to obtain edge enhanced images strength.
In the shared bicycle Weigh sensor system, in addition to：
Noise analysis equipment, with the edge enhancing equipment be connected, for the edge enhanced images progress noise into
Decompose analysis with obtain in the edge enhanced images various noise types and respectively corresponding to each noise signal composition, obtaining
Three noise signal compositions of amplitude maximum are selected in each noise signal composition obtained and are sorted from big to small according to amplitude
Respectively as the first noise signal composition, the second noise signal composition and the 3rd noise signal composition；
Second filter apparatus, strengthen equipment and the noise analysis equipment with the edge respectively and be connected, for from image
It is corresponding respectively with the first noise signal composition, the second noise signal composition and the 3rd noise signal composition to filter search in template library
Image filtering masterplate using as first filtering masterplate, second filtering masterplate and the 3rd filtering masterplate, based on described first filtering
Masterplate, the second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain most to the edge enhanced images
Whole filtering image；
Image recognition apparatus, it is connected with second filter apparatus, for receiving the final filtering image, and to described
Final filtering image carries out target identification and dbjective state analysis, to determine that the shared bicycle in the final filtering image is
It is no to couch formula profile, if it is not, then send the second setting signal, couched signal if it is, sending second；
Adaptive pricing equipment, be connected with described image identification equipment, for receive second couch signal when, for choosing
The bicyclist for selecting shared bicycle corresponding to riding formulates amount of money award, is receiving the second setting signal, is ridden correspondingly for selection
Shared bicycle bicyclist formulate toll amount；
Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the described 3rd
Filtering masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First filtered using described first
Ripple masterplate performs filtering process to the edge enhanced images, obtains the first median filter image, reuses second filtering
Masterplate performs filtering process to the first median filter image, the second median filter image is obtained, finally using the described 3rd
Filter masterplate and filtering process is performed to the second median filter image, obtain final filtering image.
In the shared bicycle Weigh sensor system, in addition to：The Big Dipper navigation equipment, it is shared for providing in real time
The Present navigation data of bicycle.
In the shared bicycle Weigh sensor system：Described image identification equipment connects with the Big Dipper navigation equipment
Connect, described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed, with described in determination
Whether shared bicycle in final filtering image is that the formula profile that couches includes：The Present navigation data are received, are worked as based on described
Preceding navigation data carries out the target identification of shared bicycle from the final filtering image, to determine and be partitioned into the final filtering
Shared bicycle subgraph in image.
In the shared bicycle Weigh sensor system：Described image identification equipment is carried out to the final filtering image
Target identification and dbjective state analysis, to determine whether the shared bicycle in the final filtering image is to couch formula profile also
Including：The matching result of bicycle pattern is shared based on the shared bicycle subgraph and benchmark, determines the final filtering image
In shared bicycle whether be the formula profile that couches.
Fig. 2 is the step flow chart of the shared bicycle Weigh sensor method according to embodiment of the present invention, described
Method includes：
Using the horizontal measuring instrument being arranged on the vertical beam of shared bicycle, shared bicycle is determined based on bubble regime therein
Vertical beam whether be in upright state；
When it is determined that the vertical beam of shared bicycle is in upright state, the first setting signal is sent, it is determined that sharing bicycle
Vertical beam is in when couching state, is sent first and is couched signal；
Receive described first couch signal when, open the data receiver to remote sensing satellite, receiving described first
When erectting signal, the data receiver to remote sensing satellite is closed；
Wherein, receive described first couch signal when, open the data receiver to remote sensing satellite, it is described receiving
During the first setting signal, close includes to the data receiver of remote sensing satellite：Using remote sensing images receiving device, for receiving
Described first couch signal or it is described first erect signal, the data receiver to remote sensing satellite is turned on and off, from remote sensing satellite
The data received are remote sensing images.
Then, continue that the idiographic flow of the shared bicycle Weigh sensor method of the present invention is further detailed.
In the shared bicycle Weigh sensor method, in addition to：
Using the first filter apparatus, it is connected with the remote sensing images receiving device, for receiving remote sensing images, to described distant
Sense image performs wavelet filtering processing, Wiener filtering processing, median filter process and Gassian low-pass filter processing simultaneously, with respectively
The first filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image are obtained, while the described first filtering is schemed
Picture, second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to obtain respectively
The first signal to noise ratio, the second signal to noise ratio, the 3rd signal to noise ratio and the 4th signal to noise ratio are obtained, selects numerical value maximum from four signal to noise ratio
Signal to noise ratio as target signal to noise ratio, using filtering image corresponding to target signal to noise ratio as target filtering image；
Strengthen equipment using edge, be connected with first filter apparatus, for carrying out side to the target filtering image
Edge enhancing is handled to obtain edge enhanced images.
In the shared bicycle Weigh sensor method, in addition to：
Using noise analysis equipment, it is connected with edge enhancing equipment, for being made an uproar to the edge enhanced images
Sound component resolving with obtain in the edge enhanced images various noise types and respectively corresponding to each noise signal composition,
Selected in each noise signal composition of acquisition three noise signal compositions of amplitude maximum and according to amplitude from big to small
Sequence is respectively as the first noise signal composition, the second noise signal composition and the 3rd noise signal composition；
Using the second filter apparatus, strengthen equipment with the edge respectively and the noise analysis equipment be connected, for from
Search is distinguished with the first noise signal composition, the second noise signal composition and the 3rd noise signal composition in image filtering template library
Corresponding image filtering masterplate as the first filtering masterplate, the second filtering masterplate and the 3rd to filter masterplate, based on described first
Filtering masterplate, the second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain to the edge enhanced images
Obtain final filtering image；
Using image recognition apparatus, it is connected with second filter apparatus, for receiving the final filtering image, and it is right
The final filtering image carries out target identification and dbjective state analysis, to determine the shared list in the final filtering image
Whether car is the formula profile that couches, if it is not, then send the second setting signal, is couched signal if it is, sending second；
Using adaptive pricing equipment, be connected with described image identification equipment, for receive second couch signal when,
To select to ride, the corresponding bicyclist for sharing bicycle formulates amount of money award, is receiving the second setting signal, is being ridden for selection
The bicyclist of corresponding shared bicycle formulates toll amount；
Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the described 3rd
Filtering masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First filtered using described first
Ripple masterplate performs filtering process to the edge enhanced images, obtains the first median filter image, reuses second filtering
Masterplate performs filtering process to the first median filter image, the second median filter image is obtained, finally using the described 3rd
Filter masterplate and filtering process is performed to the second median filter image, obtain final filtering image.
In the shared bicycle Weigh sensor method, in addition to：Using the Big Dipper navigation equipment, for providing in real time
The Present navigation data of shared bicycle.
In the shared bicycle Weigh sensor method：Described image identification equipment connects with the Big Dipper navigation equipment
Connect, described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed, with described in determination
Whether shared bicycle in final filtering image is that the formula profile that couches includes：The Present navigation data are received, are worked as based on described
Preceding navigation data carries out the target identification of shared bicycle from the final filtering image, to determine and be partitioned into the final filtering
Shared bicycle subgraph in image.
In the shared bicycle Weigh sensor method：Described image identification equipment is carried out to the final filtering image
Target identification and dbjective state analysis, to determine whether the shared bicycle in the final filtering image is to couch formula profile also
Including：The matching result of bicycle pattern is shared based on the shared bicycle subgraph and benchmark, determines the final filtering image
In shared bicycle whether be the formula profile that couches.
In addition, image filtering, i.e., press down under conditions of image detail feature is retained as far as possible to the noise of target image
System, is indispensable operation in image preprocessing, and the quality of its treatment effect will directly influence successive image processing and divide
The validity and reliability of analysis.
Due to the imperfection of imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
Often polluted in journey by a variety of noises.In addition, some links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one on image and cause the isolated of stronger visual effect
Pixel or block of pixels.Typically, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, and these extreme values are acted on by plus-minus
On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration,
The progress of the follow-up work such as segmentation, feature extraction, image recognition.A kind of wave filter for effectively suppressing noise is constructed to must take into consideration
Two basic problems：The noise in target and background can effectively be removed；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One kind in conventional image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
Such as the noise as caused by mission nonlinear or non-gaussian be present and make an uproar when composing aliasing or when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, such as Fourier conversion, while noise is filtered out, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for causing the positioning precision and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained
Signal wants feature, thus it can overcome the weak point of linear filter to a certain extent.
Using the present invention shared bicycle Weigh sensor system and method, in the prior art share bicycle safeguard into
This too high technical problem, by the double check of horizon detector and remote sensing images, improve shared bicycle situation detection itself
Precision, and adaptive pricing equipment is caused when shared bicycle couches based on testing result, for selection ride corresponding to it is shared
The bicyclist of bicycle formulates amount of money award, when shared bicycle is erect, the bicyclist's system for corresponding shared bicycle of being ridden for selection
Determine toll amount, so that while providing accommodating for bicyclist, shared bicycle is safeguarded in itself.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (6)
1. a kind of shared bicycle Weigh sensor system, it is characterised in that the system includes：
Horizontal measuring instrument, it is arranged on the vertical beam of shared bicycle, for determining the perpendicular of shared bicycle based on bubble regime therein
Whether beam is in upright state；
Bubble regime detection device, it is connected with the horizontal measuring instrument, for it is determined that the vertical beam of shared bicycle is in and erects shape
During state, the first setting signal is sent, is couched signal it is determined that the vertical beam of shared bicycle is in when couching state, sending first；
Remote sensing starting device, be connected with the bubble regime detection device, for receive described first couch signal when, open
The data receiver to remote sensing satellite is opened, when receiving the first setting signal, closes the data receiver to remote sensing satellite；
Remote sensing images receiving device, it is connected with the remote sensing starting device, under the control of the remote sensing starting device, opening
The data receiver to remote sensing satellite is opened or closes, the data received from remote sensing satellite are remote sensing images；
Image recognition apparatus, for receiving remote sensing images, and the remote sensing images are carried out with target identification and dbjective state point
Analysis, to determine whether the shared bicycle in the remote sensing images is the formula profile that couches.
2. shared bicycle Weigh sensor system as claimed in claim 1, it is characterised in that also include：
First filter apparatus, it is connected with the remote sensing images receiving device, it is same to the remote sensing images for receiving remote sensing images
The processing of Shi Zhihang wavelet filterings, Wiener filtering processing, median filter process and Gassian low-pass filter processing, to obtain first respectively
Filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image, while to first filtering image, described
Second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to obtain the first letter respectively
Make an uproar ratio, the second signal to noise ratio, the 3rd signal to noise ratio and the 4th signal to noise ratio, the maximum signal to noise ratio of numerical value is selected from four signal to noise ratio
As target signal to noise ratio, using filtering image corresponding to target signal to noise ratio as target filtering image；
Edge strengthens equipment, is connected with first filter apparatus, for being carried out to the target filtering image at edge enhancing
Manage to obtain edge enhanced images.
3. shared bicycle Weigh sensor system as claimed in claim 2, it is characterised in that also include：
Noise analysis equipment, it is connected with edge enhancing equipment, for carrying out noise contribution solution to the edge enhanced images
Analysis with obtain in the edge enhanced images various noise types and respectively corresponding to each noise signal composition, in acquisition
Three noise signal compositions of amplitude maximum and the difference that sorted from big to small according to amplitude are selected in each noise signal composition
As the first noise signal composition, the second noise signal composition and the 3rd noise signal composition；
Second filter apparatus, strengthen equipment and the noise analysis equipment with the edge respectively and be connected, for from image filtering
Search figure corresponding with the first noise signal composition, the second noise signal composition and the 3rd noise signal composition difference in template library
As filtering masterplate using as first filtering masterplate, second filtering masterplate and the 3rd filtering masterplate, based on described first filtering masterplate,
The second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain final filter to the edge enhanced images
Ripple image；
Image recognition apparatus, it is connected with second filter apparatus, for receiving the final filtering image, and to described final
Filtering image carries out target identification and dbjective state analysis, with determine the shared bicycle in the final filtering image whether be
The formula that couches profile, if it is not, then send the second setting signal, couched signal if it is, sending second；
Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the 3rd filtering
Masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First using the described first filtering mould
Version performs filtering process to the edge enhanced images, obtains the first median filter image, reuses the second filtering masterplate
Filtering process is performed to the first median filter image, obtains the second median filter image, finally using the described 3rd filtering
Masterplate performs filtering process to the second median filter image, obtains final filtering image.
4. shared bicycle Weigh sensor system as claimed in claim 3, it is characterised in that also include：
The Big Dipper navigation equipment, for providing the Present navigation data of shared bicycle in real time.
5. shared bicycle Weigh sensor system as claimed in claim 4, it is characterised in that：
Described image identification equipment is connected with the Big Dipper navigation equipment, and described image identification equipment is to the final filtering figure
As carrying out target identification and dbjective state analysis, to determine whether the shared bicycle in the final filtering image is the formula of couching
Profile includes：The Present navigation data are received, are shared based on the Present navigation data from the final filtering image
The target identification of bicycle, to determine and be partitioned into the shared bicycle subgraph in the final filtering image.
6. shared bicycle Weigh sensor system as claimed in claim 5, it is characterised in that：
Described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed, with described in determination
Whether shared bicycle in final filtering image is that the formula profile that couches also includes：It is total to based on the shared bicycle subgraph with benchmark
The matching result of bicycle pattern is enjoyed, determines whether the shared bicycle in the final filtering image is the formula profile that couches.
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| CN201710361816.0A CN107180231B (en) | 2017-05-22 | 2017-05-22 | Shared bicycle Weigh sensor system |
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| CN107180231B true CN107180231B (en) | 2018-03-23 |
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