CN106162076A - Big data image gray processing processing means - Google Patents
Big data image gray processing processing means Download PDFInfo
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- CN106162076A CN106162076A CN201610478163.XA CN201610478163A CN106162076A CN 106162076 A CN106162076 A CN 106162076A CN 201610478163 A CN201610478163 A CN 201610478163A CN 106162076 A CN106162076 A CN 106162076A
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- 238000000034 method Methods 0.000 claims abstract description 65
- 238000001914 filtration Methods 0.000 claims description 31
- 238000001514 detection method Methods 0.000 claims description 20
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 238000005286 illumination Methods 0.000 claims description 13
- 238000005192 partition Methods 0.000 claims description 12
- 238000004458 analytical method Methods 0.000 claims description 11
- 238000000605 extraction Methods 0.000 claims description 10
- 230000006399 behavior Effects 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 4
- 230000002902 bimodal effect Effects 0.000 claims description 3
- 230000013011 mating Effects 0.000 claims description 2
- 230000003760 hair shine Effects 0.000 claims 1
- 239000000203 mixture Substances 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 5
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- 238000010586 diagram Methods 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000003795 desorption Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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Abstract
The present invention relates to a kind of big data image gray processing processing means, including big data processing platform (DPP), for image being carried out gray processing process by network, wherein, big data processing platform (DPP) includes gray processing processing equipment, processes for realizing the gray processing to image.By means of the invention it is possible to improve the precision that image gray processing processes.
Description
Technical field
The present invention relates to gray processing process field, particularly relate to a kind of big data image gray processing processing means.
Background technology
Some industry leaders are in order to identify and tracing pirate film, it is proposed that by the method for Coded Anti-Piracy (CAP),
I.e. in film, increase watermark.First Coded Anti-Piracy is designed by Kodak, Deluxe Laboratories pair subsequently
It improves.Philips it is also proposed a mark system being named as CineFence in 2006.But, digital watermark is only
Being a kind of passive measure, he can not eliminate and stop shooting to take on the sly.On the other hand, camera perturbation technique is intended to by serious broken
Bad film visual quality eliminates shooting and takes on the sly, to make these interference signals not interfere with the spectators of movie theatre simultaneously.
The most substantial amounts of camera interference method mainly make use of imaging sensor to respond ultrared principle.In order to disturb shifting
Moving video camera and generate light in the picture of shooting, infrared emitter is installed in cinema.Except those emitters
Etc. extra cost price and regular job expense, this scheme can be by enclosing suitable filter on camera lens.But it is this
Mode is easy to be avoided because of the selection of the person of taking on the sly.
Accordingly, it would be desirable to a kind of new anti-camcording technology scheme, it is possible to auditorium image is carried out electronic analysis, scene is drilled
Go out environment and carry out electronic analysis, and carry out the person's of taking on the sly judgement based on two kinds of analysis results, it addition, be additionally based upon the position letter of the person of taking on the sly
The person of taking on the sly is reminded by breath, thus realizes oriented detection and the orientation warning of the on-the-spot person of taking on the sly of performance.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of big data image gray processing processing means, arrange at the scene
Auditorium image capture device completes the extraction to auditorium image, introduces various image processing equipment and image analysis equipment is sentenced
Whether disconnected auditorium image exists the suspicious person of taking on the sly, in the case of there is the suspicious person of taking on the sly, extracts suspicious stealing
The numbering at seat, bat person place, detects in real time to ambient parameter or current performance content the most at the scene, can with basis
Information and the Site Detection result of the person of taking on the sly doubted determine the person that really do not takes on the sly.
According to an aspect of the present invention, it is provided that a kind of big data image gray processing processing means, described device includes greatly
Data processing platform (DPP), for image being carried out gray processing process by network, wherein, big data processing platform (DPP) includes gray processing
Processing equipment, processes for realizing the gray processing to image.
More specifically, in described big data image gray processing processing means, including: cinema content collecting device, arrange
On movie theatre curtain opposite, the scene image on Real-time Collection movie theatre curtain is to export as real-time scene image；Content is divided
Desorption device, the Background control being arranged on movie theatre is indoor, is connected with screen partition device network, also with cinema content collecting device even
Connect, for receiving the seat numbering of each screen subimage and its correspondence, be additionally operable to receive real-time scene image, by each
Screen subimage and real-time scene image carry out content matching to determine content matching percentage ratio, when content matching percentage ratio is more than
During equal to preset percentage threshold value, using seat numbering corresponding for screen subimage as targeted seat numbering output；Wherein, exist
Number of objects in screen subimage is non-linear dependence with the relation of content matching percentage ratio；Ling Yang SPCE061A chip,
The Background control being arranged on movie theatre is indoor, is connected with Content analysis apparatus, includes target for sending based on targeted seat numbering
The drive control signal of seat numbering；Motor driving apparatus, the Background control being arranged on movie theatre is indoor, respectively with Ling Yang
SPCE061A chip and motor device connect, for receiving the drive control signal that Ling Yang SPCE061A chip is sent, and to driving
Dynamic control signal carries out resolving to determine that targeted seat is numbered, and determines motor drive signal based on targeted seat numbering；The Cloud Terrace, if
Putting the position, roof directly over movie theatre curtain, including equipment fixed support and direct current generator, equipment fixed support is used for fixing
Luminaire and direct current generator, direct current generator is connected with motor driving apparatus, for adjusting under the driving of motor drive signal
The illumination direction of luminaire, and after having adjusted, send illumination enabling signal；Luminaire, is fixed on equipment fixed support
On, it is connected with direct current generator, including light switch and lighting source, light switch connects with direct current generator and lighting source respectively
Connect, for automatically opening up to start the illumination of lighting source after receiving illumination enabling signal；CMOS sensing equipment, is arranged on
Middle position, movie theatre roof, for carrying out image acquisition with output auditorium image to the auditorium on movie theatre curtain opposite；Big number
According to processing platform, be connected with CMOS sensing equipment by network, be used for receiving auditorium image and to auditorium image at
Reason, big data processing platform (DPP) includes: gray processing processing equipment, is connected with CMOS sensing equipment network, extracts including channel parameters
Unit, weighted value memory element and gray value computing unit, channel parameters extraction unit is used for receiving auditorium image, extracts
The R passage pixel value of each pixel, G passage pixel value and channel B pixel value, weighted value memory element in the image of auditorium
For having prestored R channel weighting value, G channel weighting value and channel B weighted value, gray value computing unit is joined with passage respectively
Number extraction unit and weighted value memory element connect, for each pixel in the image of auditorium, by R passage pixel value and R
The product of the product of channel weighting value, G passage pixel value and G channel weighting value and channel B pixel value and channel B weighted value
Product addition with obtain for the gray value of pixel, and obtain based on the gray value of each pixel in the image of auditorium and see
The gray level image that many seat images are corresponding；Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is
0.586811, channel B weighted value value is 0.114350；Histogram distribution detection equipment, is connected with gray processing processing equipment, uses
In receiving gray level image, and gray level image is carried out the grey level histogram process histogram image with acquisition correspondence, directly
When side's figure image presents bimodal distribution, send global threshold and select signal, otherwise, send non-global threshold and select signal；Threshold value
Selection equipment, is connected with histogram distribution detection equipment, for when receiving global threshold and selecting signal, by global threshold
128 as threshold data export, receive non-global threshold select signal time, using neighbor pixel gray difference threshold 40 as
Threshold data exports；Binary conversion treatment equipment, selects with threshold value equipment and histogram distribution detection equipment to be connected respectively, is used for
When receiving global threshold selection signal, for each pixel in gray level image, when gray value is more than or equal to threshold value
During data, by for pixel be set to white level pixel, when gray value less than threshold data time, by for pixel
It is set to black level pixel, and the binary image that output gray level image is corresponding；Binary conversion treatment equipment is additionally operable to connecing
When receiving non-global threshold selection signal, for each pixel in gray level image, calculate vertical direction upwards distance
The gray value of the pixel of its 3 pixels, as upper grey scale pixel value, calculates vertical direction downwards apart from its 3 pixels
The gray value of pixel is as lower grey scale pixel value, and calculated level direction is to the left apart from the gray scale of pixel of its 3 pixels
Value as left grey scale pixel value, calculated level direction to the right apart from the gray value of pixel of its 3 pixels as right pixel
Gray value, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is less than or equal to threshold data and left grey scale pixel value
During with the absolute value of the difference of right grey scale pixel value less than or equal to threshold data, by for pixel be set to white level pixel
Point, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is more than threshold data or left grey scale pixel value and right pixel
The absolute value of the difference of gray value more than threshold data time, by for pixel be set to black level pixel, and output gray level
Change the binary image that image is corresponding；Picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving binary picture
Picture, for each pixel in binary image, when adjacent all pixels exist the trip point of more than half,
Then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be set to white level pixel, and
The smoothed image that output binary image is corresponding；Medium filtering equipment, is connected with image balance processing equipment, is used for receiving smooth
Image, is analyzed determining the distribution radius in each noise profile region, base to the gray value of the pixel of smoothed image
Maximum in the distribution radius in each noise profile region determines the filtered pixel block size carrying out medium filtering, uses really
Fixed filtered pixel block size carries out medium filtering and processes to obtain filtering image smoothed image；Screen partition equipment, with in
Value filtering equipment connects to obtain filtering image, the screen pattern of filtering image with the various mobile terminals prestored is carried out
Mate each screen subimage to detect and be partitioned in filtering image, for each screen subimage, for it in filter
Position in ripple image determine for screen subimage corresponding seat numbering；Wherein, for screen subimage corresponding
Seat is numbered hold for the movie seat numbering at spectators place of mobile terminal corresponding to screen subimage；Wherein, interior
Hold analytical equipment and each screen subimage and real-time scene image are carried out content matching to determine that content matching percentage ratio has
Body includes: identify each object in real-time scene image, for each object, detects whether it is present in screen subgraph
In Xiang, the number of objects being present in screen subimage is the most, then content matching percentage ratio is the highest.
More specifically, in described big data image gray processing processing means, also include: gray processing processing equipment is by multiple
Identical process subset composition, multiple identical process subsets are used for parallel work-flow, process and set jointly completing gray processing
Standby operation.
More specifically, in described big data image gray processing processing means, also include: histogram distribution detection equipment by
Multiple identical process subsets compositions, multiple identical process subsets are used for parallel work-flow, divide jointly completing rectangular histogram
The operation of cloth detection equipment.
More specifically, in described big data image gray processing processing means, also include: threshold value selects equipment by multiple phases
Same process subset composition, multiple identical process subsets are used for parallel work-flow, jointly to complete threshold value selection equipment
Operation.
More specifically, in described big data image gray processing processing means, also include: binary conversion treatment equipment is by multiple
Identical process subset composition, multiple identical process subsets are used for parallel work-flow, set jointly completing binary conversion treatment
Standby operation.
More specifically, in described big data image gray processing processing means, also include: picture smooth treatment equipment is by many
Individual identical process subset composition, multiple identical process subsets are used for parallel work-flow, jointly to complete at image smoothing
The operation of reason equipment.
More specifically, in described big data image gray processing processing means, also include: medium filtering equipment is by multiple phases
Same process subset composition, multiple identical process subsets are used for parallel work-flow, jointly to complete medium filtering equipment
Operation.
More specifically, in described big data image gray processing processing means, also include: screen partition equipment is by multiple phases
Same process subset composition, multiple identical process subsets are used for parallel work-flow, jointly to complete screen partition equipment
Operation.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram according to the big data image gray processing processing means shown in embodiment of the present invention.
Reference: 1 big data processing platform (DPP)；2 gray processing processing equipments
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the big data image gray processing processing means of the present invention is carried out specifically
Bright.
As can be seen here, the artificial anti-mode taken on the sly has inborn deficiency, in order to overcome above-mentioned drawback, reduces anti-taking on the sly
Operation cost, improves the anti-work efficiency taken on the sly, and operator always searches for the mode that electronics prevents taking on the sly and carries out on-site supervision, electricity
The anti-two kinds of developing direction of having taken on the sly of son, a kind of is to make an issue of on the mobile terminal that spectators are hand-held, when mobile terminal shoots certainly
Dynamic detection is taken on the sly behavior, but this mode is probably due to the selection of mobile terminal is avoided by the person of taking on the sly, another kind be
The scene of taking on the sly disposes electronic jamming device, and this mode can avoid evading of the person of taking on the sly.
The existing anti-electronic jamming device taken on the sly is that a kind of infrared facility is placed in the back side of curtain or stage,
Infrared facility sends the sightless infrared ray of human eye, if the person of taking on the sly is moving terminal or video camera shooting, the most infrared
Line by the video camera imaging of the interference person of taking on the sly, causes image or lower picture quality that the person of taking on the sly obtains, it is impossible to commercially sell
Sell and propagate on network, thus effectively safeguarding copyright interest.
But, this mode needs to launch infrared ray always, and ultrared transmitting is large-scale, needs from each
Infrared ray, relatively costly and poor feasibility are all launched in position.Therefore on-the-spot electronics prevents that the equipment of taking on the sly also needs to find other
Break through direction.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data image gray processing processing means, it is possible to by right
In audience seat spectators behavioral value and by whether the parameter extraction of site environment being determined in audience seat
There is the person of taking on the sly, and can in time the position at the person of taking on the sly place be positioned, in order to take to orient warning measure accordingly,
The prompting person of taking on the sly abandons the behavior of taking on the sly.
Fig. 1 is the block diagram according to the big data image gray processing processing means shown in embodiment of the present invention, institute
State device and include big data processing platform (DPP), for image being carried out gray processing process, wherein, big data processing platform (DPP) by network
Include gray processing processing equipment, process for realizing the gray processing to image.
Then, continue the concrete structure of the big data image gray processing processing means of the present invention is carried out further
Bright.
Described device includes: cinema content collecting device, is arranged on movie theatre curtain opposite, for Real-time Collection movie theatre curtain
On scene image using as real-time scene image export.
Described device includes: Content analysis apparatus, and the Background control being arranged on movie theatre is indoor, with screen partition device network
Connect, be also connected with cinema content collecting device, for receiving the seat numbering of each screen subimage and its correspondence, also use
In receiving real-time scene image, each screen subimage and real-time scene image are carried out content matching to determine content matching
Percentage ratio, when content matching percentage ratio is more than or equal to preset percentage threshold value, makees seat numbering corresponding for screen subimage
For targeted seat numbering output；Wherein, the number of objects being present in screen subimage with the relation of content matching percentage ratio is
Non-linear relation.
Described device includes: Ling Yang SPCE061A chip, and the Background control being arranged on movie theatre is indoor, with Content analysis apparatus
Connect, for sending, based on targeted seat numbering, the drive control signal including that targeted seat is numbered.
Described device includes: motor driving apparatus, and the Background control being arranged on movie theatre is indoor, respectively with Ling Yang SPCE061A
Chip and motor device connect, and for receiving the drive control signal that Ling Yang SPCE061A chip is sent, and control letter to driving
Number carry out resolving to determine that targeted seat is numbered, determine motor drive signal based on targeted seat numbering.
Described device includes: The Cloud Terrace, is arranged on the position, roof directly over movie theatre curtain, including equipment fixed support with straight
Stream motor, equipment fixed support is used for fixing luminaire and direct current generator, and direct current generator is connected with motor driving apparatus, is used for
Under the driving of motor drive signal, adjust the illumination direction of luminaire, and after having adjusted, send illumination enabling signal.
Described device includes: luminaire, is fixed on equipment fixed support, is connected with direct current generator, including illumination
Switch and lighting source, light switch is connected with direct current generator and lighting source respectively, for receiving illumination enabling signal
After automatically open up to start the illumination of lighting source.
Described device includes: CMOS sensing equipment, is arranged on middle position, movie theatre roof, for movie theatre curtain opposite
Auditorium carries out image acquisition with output auditorium image.
Described device includes: big data processing platform (DPP), is connected with CMOS sensing equipment by network, is used for receiving auditorium
Auditorium image is also processed by image.
Big data processing platform (DPP) includes: gray processing processing equipment, is connected, including channel parameters with CMOS sensing equipment network
Extraction unit, weighted value memory element and gray value computing unit, channel parameters extraction unit is used for receiving auditorium image, carries
Taking out the R passage pixel value of each pixel, G passage pixel value and channel B pixel value in the image of auditorium, weighted value stores
Unit is used for having prestored R channel weighting value, G channel weighting value and channel B weighted value, and gray value computing unit is respectively with logical
Road parameter extraction unit and weighted value memory element connect, for each pixel in the image of auditorium, by R passage pixel value
Weight with channel B with product and the channel B pixel value of G channel weighting value with product, the G passage pixel value of R channel weighting value
The product addition of value with obtain for the gray value of pixel, and obtain based on the gray value of each pixel in the image of auditorium
Obtain the gray level image that auditorium image is corresponding；Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is
0.586811, channel B weighted value value is 0.114350.
Big data processing platform (DPP) includes: histogram distribution detection equipment, is connected with gray processing processing equipment, is used for receiving ash
Degreeization image, and gray level image is carried out the grey level histogram process histogram image with acquisition correspondence, at histogram image
When presenting bimodal distribution, send global threshold and select signal, otherwise, send non-global threshold and select signal.
Big data processing platform (DPP) includes: threshold value selects equipment, is connected, for receiving with histogram distribution detection equipment
When global threshold selects signal, global threshold 128 is exported as threshold data, select signal receiving non-global threshold
Time, neighbor pixel gray difference threshold 40 is exported as threshold data.
Big data processing platform (DPP) includes: binary conversion treatment equipment, selects equipment and histogram distribution detection respectively with threshold value
Equipment connects, for when receiving global threshold and selecting signal, for each pixel in gray level image, working as gray scale
Value more than or equal to threshold data time, by for pixel be set to white level pixel, when gray value less than threshold data time,
By for pixel be set to black level pixel, and the binary image that output gray level image is corresponding；Binary conversion treatment
Equipment is additionally operable to, when receiving non-global threshold and selecting signal, for each pixel in gray level image, calculate and hang down
Nogata to upwards apart from the gray value of pixel of its 3 pixels as upper grey scale pixel value, calculate vertical direction downwards away from
From the gray value of pixel of its 3 pixels as lower grey scale pixel value, calculated level direction is to the left apart from its 3 pixels
The gray value of pixel as left grey scale pixel value, calculated level direction is to the right apart from the ash of pixel of its 3 pixels
Angle value is as right grey scale pixel value, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is less than or equal to threshold data
And the absolute value of the difference of left grey scale pixel value and right grey scale pixel value less than or equal to threshold data time, by for pixel arrange
For white level pixel, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is more than threshold data or left pixel ash
The absolute value of the difference of angle value and right grey scale pixel value more than threshold data time, by for pixel be set to black level pixel
Point, and the binary image that output gray level image is corresponding.
Big data processing platform (DPP) includes: picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving two-value
Change image, for each pixel in binary image, when adjacent all pixels exist more than half saltus step
During point, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be set to white level pixel
Point, and export the smoothed image that binary image is corresponding.
Big data processing platform (DPP) includes: medium filtering equipment, is connected with image balance processing equipment, is used for receiving smooth figure
Picture, is analyzed determining the distribution radius in each noise profile region to the gray value of the pixel of smoothed image, based on
Maximum in the distribution radius in each noise profile region determines the filtered pixel block size carrying out medium filtering, and employing determines
Filtered pixel block size smoothed image is carried out medium filtering process to obtain filtering image.
Big data processing platform (DPP) includes: screen partition equipment, is connected with medium filtering equipment to obtain filtering image, will filter
Ripple image carry out with the screen pattern of the various mobile terminals prestored mating with detection and be partitioned in filtering image each
Individual screen subimage, for each screen subimage, for its position in filtering image determine for screen subgraph
As corresponding seat numbering；Wherein, for seat corresponding to screen subimage numbered hold for screen subimage pair
The movie seat numbering at the spectators place of the mobile terminal answered.
Wherein, Content analysis apparatus each screen subimage and real-time scene image are carried out content matching to determine in
Hold match-percentage to specifically include: each object identifying in real-time scene image, for each object, whether detect it
Being present in screen subimage, the number of objects being present in screen subimage is the most, then content matching percentage ratio is the highest.
Alternatively, in described platform: gray processing processing equipment is made up of multiple identical process subsets, multiple identical
Process subset for parallel work-flow, jointly to complete the operation of gray processing processing equipment；Histogram distribution detection equipment by
Multiple identical process subsets compositions, multiple identical process subsets are used for parallel work-flow, divide jointly completing rectangular histogram
The operation of cloth detection equipment；Threshold value selects equipment to be made up of multiple identical process subsets, multiple identical process subsets
For parallel work-flow, jointly to complete the operation of threshold value selection equipment；Binary conversion treatment equipment is set by multiple identical process
Standby composition, multiple identical process subsets are used for parallel work-flow, jointly to complete the operation of binary conversion treatment equipment；Image is put down
Sliding processing equipment is made up of multiple identical process subsets, and multiple identical process subsets are used for parallel work-flow, with jointly
Complete the operation of picture smooth treatment equipment；Medium filtering equipment is made up of multiple identical process subsets, multiple identical
Process subset and be used for parallel work-flow, jointly to complete the operation of medium filtering equipment；Screen partition equipment is by multiple identical
Process subset forms, and multiple identical process subsets are used for parallel work-flow, jointly to complete the operation of screen partition equipment.
It addition, wave filter, as the term suggests, it is the device that ripple is filtered." ripple " is that a physics widely is general
Read, at electronic technology field, the value fluctuations in time that " ripple " is narrowly confined to refer in particular to describe various physical quantity
Process.The effect by various kinds of sensors of this process, is converted into the time function of voltage or electric current, the most various physical quantitys
Time waveform, or referred to as signal.Because the independent variable time is continuous value, so referred to as continuous time signal,
It is referred to as analogue signal the most habitually.
Along with the generation of digital electronic computer technology with develop rapidly, for the ease of computer to signal at
Reason, creates complete theory and the method that continuous time signal is transformed under sampling theorem instructs discrete-time signal.
It is to say, only primary signal can be expressed by original analog signal sample value on series of discrete time coordinate point and not lose
Lose any information, since the expression of these concepts of ripple, waveform, signal is the change of various physical quantitys in objective world, the most just
It it is the carrier of the various information that modern society depends on for existence.Information needs to propagate, and lean on is exactly the transmission of waveshape signal.Signal exists
Its generation, change, each link of transmitting is likely to be due to environment and the existence of interference and distorts, even quite a lot of
In the case of, this distortion is the most serious, causes signal and entrained information thereof to be embedded in the middle of noise dearly.In order to
Filter these noises, recover signal originally, need to use various wave filter to be filtered processing.
Use the big data image gray processing processing means of the present invention, cannot be for the offer of taking on the sly of performance for prior art
The technical problem of effective detection of electrons, by using targetedly, high-precision a series of images processing equipment and image
The audience status of auditorium is analyzed by analytical equipment, is analyzed, in above-mentioned analysis also by the environment on-the-spot to performance
On the basis of, the behavior of pirates shoot person in auditorium is accurately detected and location recognition.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-described embodiment being not used to
Limit the present invention.For any those of ordinary skill in the art, without departing under technical solution of the present invention ambit,
Technical solution of the present invention is made many possible variations and modification by the technology contents that all may utilize the disclosure above, or is revised as
Equivalent embodiments with change.Therefore, every content without departing from technical solution of the present invention, according to the technical spirit pair of the present invention
Any simple modification made for any of the above embodiments, equivalent variations and modification, all still fall within the scope of technical solution of the present invention protection
In.
Claims (9)
1. a big data image gray processing processing means, described device includes big data processing platform (DPP), for by network pair
Image carries out gray processing process, and wherein, big data processing platform (DPP) includes gray processing processing equipment, for realizing the ash to image
Degreeization processes.
2. big data image gray processing processing means as claimed in claim 1, it is characterised in that described device includes:
Cinema content collecting device, is arranged on movie theatre curtain opposite, and the scene image on Real-time Collection movie theatre curtain is to make
Export for real-time scene image；
Content analysis apparatus, the Background control being arranged on movie theatre is indoor, is connected with screen partition device network, goes back and cinema content
Collecting device connects, and for receiving the seat numbering of each screen subimage and its correspondence, is additionally operable to receive real-time scene figure
Picture, carries out content matching to determine content matching percentage ratio, when content by each screen subimage and real-time scene image
When component percentage is more than or equal to preset percentage threshold value, seat numbering corresponding for screen subimage is defeated as targeted seat numbering
Go out；Wherein, the number of objects being present in screen subimage is non-linear dependence with the relation of content matching percentage ratio；
Ling Yang SPCE061A chip, the Background control being arranged on movie theatre is indoor, is connected with Content analysis apparatus, for based on target
Seat numbering sends the drive control signal including that targeted seat is numbered；
Motor driving apparatus, the Background control being arranged on movie theatre is indoor, connects with Ling Yang SPCE061A chip and motor device respectively
Connect, for receiving the drive control signal that Ling Yang SPCE061A chip is sent, and resolve to determine to drive control signal
Targeted seat is numbered, and determines motor drive signal based on targeted seat numbering；
The Cloud Terrace, is arranged on the position, roof directly over movie theatre curtain, including equipment fixed support and direct current generator, and fixing of equipment
Frame is used for fixing luminaire and direct current generator, and direct current generator is connected with motor driving apparatus, in motor drive signal
Drive the lower illumination direction adjusting luminaire, and after having adjusted, send illumination enabling signal；
Luminaire, is fixed on equipment fixed support, is connected with direct current generator, including light switch and lighting source, shines
Bright switch is connected with direct current generator and lighting source respectively, for automatically opening up to start photograph after receiving illumination enabling signal
The illumination in source, Mingguang City；
CMOS sensing equipment, is arranged on middle position, movie theatre roof, adopts for the auditorium on movie theatre curtain opposite is carried out image
Collect with output auditorium image；
Big data processing platform (DPP), is connected with CMOS sensing equipment by network, is used for receiving auditorium image and to auditorium figure
As processing, big data processing platform (DPP) includes:
Gray processing processing equipment, is connected with CMOS sensing equipment network, including channel parameters extraction unit, weighted value memory element
With gray value computing unit, channel parameters extraction unit is used for receiving auditorium image, extracts each in the image of auditorium
The R passage pixel value of pixel, G passage pixel value and channel B pixel value, weighted value memory element is used for having prestored R and leads to
Higher, G channel weighting value and channel B weighted value, gray value computing unit respectively with channel parameters extraction unit and weighting
Value memory element connects, for each pixel in the image of auditorium, by the product of R passage pixel value and R channel weighting value,
The product addition of G passage pixel value and the product of G channel weighting value and channel B pixel value and channel B weighted value is to obtain pin
To the gray value of pixel, and obtain, based on the gray value of each pixel in the image of auditorium, the ash that auditorium image is corresponding
Degreeization image；Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is 0.586811, channel B weighted value
Value is 0.114350；
Histogram distribution detection equipment, is connected with gray processing processing equipment, is used for receiving gray level image, and to gray level image
Carry out grey level histogram to process to obtain corresponding histogram image, when histogram image presents bimodal distribution, send the overall situation
Threshold value selects signal, otherwise, sends non-global threshold and selects signal；
Threshold value selects equipment, is connected with histogram distribution detection equipment, for when receiving global threshold and selecting signal, by complete
Office's threshold value 128 exports as threshold data, when receiving non-global threshold and selecting signal, by neighbor pixel gray difference threshold
40 export as threshold data；
Binary conversion treatment equipment, selects equipment and histogram distribution detection equipment to be connected, for receiving entirely respectively with threshold value
When office's threshold value selects signal, for each pixel in gray level image, when gray value is more than or equal to threshold data, will
For pixel be set to white level pixel, when gray value less than threshold data time, by for pixel be set to black
Level pixel point, and the binary image that output gray level image is corresponding；Binary conversion treatment equipment be additionally operable to receive non-entirely
When office's threshold value selects signal, for each pixel in gray level image, calculate vertical direction upwards apart from its 3 pixels
The gray value of the pixel of point as upper grey scale pixel value, calculates vertical direction downwards apart from the pixel of its 3 pixels
Gray value as lower grey scale pixel value, calculated level direction to the left apart from the gray value of pixel of its 3 pixels as a left side
Grey scale pixel value, calculated level direction to the right apart from the gray value of pixel of its 3 pixels as right grey scale pixel value, when
The absolute value of the difference of upper grey scale pixel value and lower grey scale pixel value is less than or equal to threshold data and left grey scale pixel value and right pixel
The absolute value of the difference of gray value less than or equal to threshold data time, by for pixel be set to white level pixel, when upper picture
The absolute value of the difference of element gray value and lower grey scale pixel value more than threshold data or left grey scale pixel value and right grey scale pixel value it
Difference absolute value more than threshold data time, by for pixel be set to black level pixel, and output gray level image pair
The binary image answered；
Picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving binary image, in binary image
Each pixel, when adjacent all pixels exist the trip point of more than half, then by for pixel
Gray value retains, otherwise, by for the gray value of pixel be set to white level pixel, and it is corresponding to export binary image
Smoothed image；
Medium filtering equipment, is connected with image balance processing equipment, is used for receiving smoothed image, to the pixel of smoothed image
Gray value is analyzed determining the distribution radius in each noise profile region, distribution based on each noise profile region half
Maximum in footpath determines the filtered pixel block size carrying out medium filtering, uses the filtered pixel block size determined to smooth figure
Process as carrying out medium filtering to obtain filtering image；
Screen partition equipment, is connected to obtain filtering image with medium filtering equipment, and filtering image is various with prestore
The screen pattern of mobile terminal carries out mating each screen subimage to detect and be partitioned in filtering image, for each
Screen subimage, for its position in filtering image determine for screen subimage corresponding seat numbering；Wherein, pin
To seat corresponding to screen subimage numbered hold for the spectators place of mobile terminal corresponding to screen subimage
Movie seat is numbered；
Wherein, each screen subimage and real-time scene image are carried out content matching to determine content by Content analysis apparatus
Component percentage specifically includes: identify each object in real-time scene image, for each object, detects whether it exists
In screen subimage, the number of objects being present in screen subimage is the most, then content matching percentage ratio is the highest.
3. big data image gray processing processing means as claimed in claim 2, it is characterised in that:
Gray processing processing equipment is made up of multiple identical process subsets, and multiple identical process subsets are for parallel behaviour
Make, jointly to complete the operation of gray processing processing equipment.
4. big data image gray processing processing means as claimed in claim 2, it is characterised in that:
Histogram distribution detection equipment is made up of multiple identical process subsets, and multiple identical process subsets are for parallel
Operation, jointly to complete the operation of histogram distribution detection equipment.
5. big data image gray processing processing means as claimed in claim 2, it is characterised in that:
Threshold value selects equipment to be made up of multiple identical process subsets, and multiple identical process subsets are used for parallel work-flow,
Jointly to complete the operation of threshold value selection equipment.
6. big data image gray processing processing means as claimed in claim 2, it is characterised in that:
Binary conversion treatment equipment is made up of multiple identical process subsets, and multiple identical process subsets are for parallel behaviour
Make, jointly to complete the operation of binary conversion treatment equipment.
7. big data image gray processing processing means as claimed in claim 2, it is characterised in that:
Picture smooth treatment equipment is made up of multiple identical process subsets, and multiple identical process subsets are for parallel behaviour
Make, jointly to complete the operation of picture smooth treatment equipment.
8. big data image gray processing processing means as claimed in claim 2, it is characterised in that:
Medium filtering equipment is made up of multiple identical process subsets, and multiple identical process subsets are used for parallel work-flow,
Jointly to complete the operation of medium filtering equipment.
9. big data image gray processing processing means as claimed in claim 2, it is characterised in that:
Screen partition equipment is made up of multiple identical process subsets, and multiple identical process subsets are used for parallel work-flow,
Jointly to complete the operation of screen partition equipment.
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| CN201610478163.XA CN106162076A (en) | 2016-06-27 | 2016-06-27 | Big data image gray processing processing means |
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| CN201610478163.XA CN106162076A (en) | 2016-06-27 | 2016-06-27 | Big data image gray processing processing means |
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| CN107525809A (en) * | 2017-08-03 | 2017-12-29 | 朱林清 | A kind of method using the on-line automatic analysis workpiece, defect of wireless communication technology |
| CN107729810A (en) * | 2017-09-13 | 2018-02-23 | 田凤香 | A kind of automatic switch over atomization method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107525809A (en) * | 2017-08-03 | 2017-12-29 | 朱林清 | A kind of method using the on-line automatic analysis workpiece, defect of wireless communication technology |
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| CN108053399A (en) * | 2017-08-08 | 2018-05-18 | 卜风雷 | Real-time pattern identifying system |
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| CN107729810A (en) * | 2017-09-13 | 2018-02-23 | 田凤香 | A kind of automatic switch over atomization method |
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| CN108932719A (en) * | 2018-07-18 | 2018-12-04 | 九江学院 | A kind of personnel training practical training method and system based on figure identification |
| CN110263872A (en) * | 2019-06-26 | 2019-09-20 | 上海鹰瞳医疗科技有限公司 | Training data processing method and processing device |
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Application publication date: 20161123 |