CN107545575A - High in the clouds image segmentation system based on wavelet filtering - Google Patents

High in the clouds image segmentation system based on wavelet filtering Download PDF

Info

Publication number
CN107545575A
CN107545575A CN201610478006.9A CN201610478006A CN107545575A CN 107545575 A CN107545575 A CN 107545575A CN 201610478006 A CN201610478006 A CN 201610478006A CN 107545575 A CN107545575 A CN 107545575A
Authority
CN
China
Prior art keywords
image
pixel
value
equipment
clouds
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610478006.9A
Other languages
Chinese (zh)
Inventor
张华华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201610478006.9A priority Critical patent/CN107545575A/en
Publication of CN107545575A publication Critical patent/CN107545575A/en
Pending legal-status Critical Current

Links

Landscapes

  • Image Processing (AREA)

Abstract

The present invention relates to a kind of high in the clouds image segmentation system based on wavelet filtering, including ccd image sensing equipment, high in the clouds image-preprocessing device, wavelet filtering equipment and sub-screen area splitting equipment, ccd image sensing equipment, high in the clouds image-preprocessing device and wavelet filtering equipment realize the IMAQ, image preprocessing and image filtering to target image successively, sub-screen area splitting equipment is connected with wavelet filtering equipment, and the filtering image for being exported based on wavelet filtering equipment is partitioned into the screen subgraph of each mobile terminal in filtering image.By means of the invention it is possible to improve the speed of image segmentation.

Description

High in the clouds image segmentation system based on wavelet filtering
Technical field
The present invention relates to image segmentation field, more particularly to a kind of high in the clouds image segmentation system based on wavelet filtering.
Background technology
Cloud computing is another great change after the 1980's mainframe computer to the big change of client-server. Cloud computing (Cloud Computing) is Distributed Calculation (Distributed Computing), parallel computation (Parallel Computing), effectiveness calculates (Utility Computing), [5] network storage (Network Storage Technologies (Virtualization), load balancing (Load Balance), hot-standby redundancy (High), are virtualized Available) traditional computer and the product of network technical development fusion such as.Cloud computing is edited with its computing and starts progressively to enter Enter each application field.
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, infrared if the person of taking on the sly is moving terminal or video camera shooting Line will disturb the video camera imaging of the person of taking on the sly, the image or lower picture quality for causing the person of taking on the sly to obtain, can not commercially sell Sell and propagated on network, so as to effectively safeguard copyright interest.
But this mode needs to launch infrared ray always, and the transmitting of infrared ray is large-scale, it is necessary to from each Infrared ray is all launched in position, and cost is higher and poor feasibility.Therefore the anti-equipment of taking on the sly of the electronics at scene also needs to find others Break through direction.
Therefore, the present invention proposes a kind of anti-electronic equipment taken on the sly in new scene, can be by audience seat The behavioral value of spectators and determine to whether there is in audience seat the person of taking on the sly by the parameter extraction to site environment, and The position where the person of taking on the sly can be positioned in time, in order to take corresponding orientation warning measure, remind the person of taking on the sly to put Abandon the behavior of taking on the sly.
The content of the invention
In order to solve the above problems, the invention provides a kind of high in the clouds image segmentation system based on wavelet filtering, existing Field sets auditorium image capture device to complete the extraction to auditorium image, introduces various image processing equipments and graphical analysis Equipment judges to whether there is the suspicious person of taking on the sly in auditorium image, and in the case where the suspicious person of taking on the sly be present, extracting can The numbering at seat where the doubtful person of taking on the sly, then also ambient parameter or current performance content are detected in real time at the scene, with The really person of taking on the sly is determined according to the information of the suspicious person of taking on the sly and Site Detection result, it is even more important that establish a set of energy Enough mechanisms that prompting is oriented according to the person of taking on the sly position, so as to completely automatically realize electronic type detection and police to the person of taking on the sly Accuse.
According to an aspect of the present invention, there is provided a kind of high in the clouds image segmentation system based on wavelet filtering, the system Including ccd image sensing equipment, high in the clouds image-preprocessing device, wavelet filtering equipment and sub-screen area splitting equipment, CCD figures As sensing equipment, high in the clouds image-preprocessing device and wavelet filtering equipment realize the IMAQ to target image, image successively Pretreatment and image filtering, sub-screen area splitting equipment are connected with wavelet filtering equipment, for defeated based on wavelet filtering equipment The filtering image gone out is partitioned into the screen subgraph of each mobile terminal in filtering image.
More specifically, in the high in the clouds image segmentation system based on wavelet filtering, including:Projection room content acquisition is set It is standby, projection room draw curtain opposite is arranged on, for gathering the scene image on projection room draw curtain in real time to be used as real-time scene image Output;Content analysis apparatus, be arranged in the Background control room of projection room, respectively with sub-screen area splitting equipment and projection room Content acquisition equipment connects, and for receiving real-time scene image, is additionally operable to receive each screen subgraph seat corresponding with its Bit number, each screen subgraph and real-time scene image are subjected to content matching to determine content matching percentage, when interior When appearance match-percentage is more than or equal to preset percentage threshold value, seat numbering corresponding to screen subgraph is compiled as targeted seat Number output;Ling Yang SPCE061A chips, are arranged in the Background control room of projection room, are connected with Content analysis apparatus, for base Being sent in targeted seat numbering includes the driving control signal of targeted seat numbering;Remote control equipment, it is being arranged on projection room draw curtain just The roof position of top, for being connected with Ling Yang SPCE061A chips to receive the drive control that Ling Yang SPCE061A chips are sent Signal, and driving control signal is parsed to determine that targeted seat is numbered, numbered based on targeted seat and determine remote signal; Seat warning lamp, one is set on each spectators seat, for receiving remote signal to carry out feux rouges police based on remote signal Show;Ccd image sensing equipment, projection room roof middle position is arranged on, for the auditorium progress to projection room draw curtain opposite IMAQ is to export target image;Data splitting equipment, positioned at high in the clouds, it is connected with ccd image sensing equipment, for by target Image is divided into N number of image block, and N is the natural number more than 1;N number of high in the clouds storage device, positioned at high in the clouds, set with data segmentation Standby connection, for storing N number of image block respectively;High in the clouds command channel management equipment, positioned at high in the clouds, for entering to high in the clouds order Row of channels management;Cloud service central apparatus, positioned at high in the clouds, it is connected with N number of high in the clouds storage device, for concentrating N number of image point Block, and N number of image block is distributed to M high in the clouds application apparatus, M is the natural number more than 1 and M is less than or equal to N;M high in the clouds Application apparatus, positioned at high in the clouds, it is connected with cloud service central apparatus, for receiving image block be assigned to, more than one, Each high in the clouds application apparatus includes:The sub- equipment of gray processing processing, including channel parameters extraction unit, weighted value memory cell and Gray value computing unit, channel parameters extraction unit are used to receive each image block, extract each in image block R passages pixel value, G passages pixel value and the channel B pixel value of pixel, weighted value memory cell are led to for having prestored R Higher, G channel weightings value and channel B weighted value, gray value computing unit respectively with channel parameters extraction unit and weighting It is worth memory cell connection, for each pixel in image block, by the product of R passages pixel value and R channel weighting values, G Passage pixel value and the product and channel B pixel value and the product addition of channel B weighted value of G channel weighting values are directed to obtaining Pixel gray value, and based in image block each pixel gray value obtain image block corresponding to gray processing figure Picture;Wherein, R channel weightings value value is that 0.298839, G channel weighting values value is 0.586811, and channel B weighted value value is 0.114350;Histogram distribution detects sub- equipment, is connected with the sub- equipment of gray processing processing, for receiving gray level image, and it is right Gray level image carries out grey level histogram processing to obtain corresponding histogram image, and bimodal distribution is presented in histogram image When, global threshold selection signal is sent, otherwise, sends non-global threshold selection signal;Threshold value selects sub- equipment, with histogram point Cloth detects the connection of sub- equipment, for when receiving global threshold selection signal, global threshold 128 is defeated as threshold data Go out, when receiving non-global threshold selection signal, exported neighbor pixel gray difference threshold 40 as threshold data;Two-value Change and handle sub- equipment, select sub- equipment and histogram distribution to detect sub- equipment with threshold value respectively and be connected, for receiving the overall situation During threshold value selection signal, for each pixel in gray level image, when gray value is more than or equal to threshold data, by pin To pixel be arranged to white level pixel, when gray value is less than threshold data, by for pixel be arranged to black appliances Flat pixel, and binary image corresponding to output gray level image;The sub- equipment of binary conversion treatment be additionally operable to receive it is non-complete During office's threshold value selection signal, for each pixel in gray level image, vertical direction is calculated upwards apart from its 3 pixels The gray value of the pixel of point calculates vertical direction downwards apart from the pixel of its 3 pixels as upper grey scale pixel value Gray value is used as left apart from the gray value of the pixel of its 3 pixels to the left as lower grey scale pixel value, calculated level direction Grey scale pixel value, calculated level direction to the right apart from its 3 pixels pixel gray value 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 When the absolute value of the difference of gray value is less than or equal to threshold data, by for pixel be arranged to white level pixel, when upper picture The absolute value of the difference of plain gray value and lower grey scale pixel value be more than threshold data or left grey scale pixel value and right grey scale pixel value it The absolute value of difference is when being more than threshold data, by for pixel be arranged to black level pixel, and output gray level image pair The binary image answered;The sub- equipment of picture smooth treatment, it is connected with the sub- equipment of binary conversion treatment, for receiving binary image, For each pixel in binary image, when the trip point of more than half in adjacent all pixels point be present, then By for the gray value of pixel retain, otherwise, by for the gray value of pixel be arranged to white level pixel, it is and defeated Go out smoothed image corresponding to binary image;Data merge equipment, positioned at high in the clouds, are connected with M high in the clouds application apparatus, for inciting somebody to action The smoothed image of the sub- equipment output of picture smooth treatment of each high in the clouds application apparatus is spliced to obtain smooth integration figure Picture;Wavelet filtering equipment, it is arranged in the Background control room of projection room, merging equipment with data is connected, smooth whole for receiving Image is closed, 2-d wavelet filtering process is performed to smooth integration image to obtain filtering image;Sub-screen area splitting equipment, if Put in the Background control room of projection room, be connected with the sub- equipment of wavelet filtering to obtain filtering image, by filtering image and in advance The screen pattern of the various mobile terminals of storage is matched to detect and be partitioned into each screen subgraph in filtering image, For each screen subgraph, seat corresponding to the screen subgraph for determining to be directed to for its position in filtering image is compiled Number;Wherein, for screen subgraph corresponding to seat numbering be to hold mobile terminal corresponding to the screen subgraph being directed to Projection room seat numbering where spectators.More specifically, in the high in the clouds image segmentation system based on wavelet filtering:Content Each screen subgraph is carried out content matching to determine that content matching percentage is specific by analytical equipment with real-time scene image Including:Each pixel in real-time scene image and each pixel of each screen subgraph are subjected to pixel value matching, as The quantity of the element value pixel that the match is successful is more, and content matching percentage is higher corresponding to screen subgraph.
More specifically, in the high in the clouds image segmentation system based on wavelet filtering:The gray value of black level pixel For 0.
More specifically, in the high in the clouds image segmentation system based on wavelet filtering:The gray value of white level pixel For 255.
More specifically, in the high in the clouds image segmentation system based on wavelet filtering, in addition to:Static storage device, For prestoring R channel weightings value, G channel weightings value and channel B weighted value.
More specifically, in the high in the clouds image segmentation system based on wavelet filtering:Static storage device, which is arranged on, to be put Reflect in the Background control room of room.
More specifically, in the high in the clouds image segmentation system based on wavelet filtering:The pixel value pixel that the match is successful The relation of quantity and content matching percentage be non-linear dependence.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein:
Fig. 1 is the structure square frame of the high in the clouds image segmentation system based on wavelet filtering according to embodiment of the present invention Figure.
Reference:1CCD image sensing apparatus;2 high in the clouds image-preprocessing devices;3 wavelet filtering equipment;4 sub-screen areas Regional partition equipment
Embodiment
The embodiment of the high in the clouds image segmentation system based on wavelet filtering of the present invention is carried out below with reference to accompanying drawings Describe in detail.
Cloud computing, i.e. cloud computing, are the increase, use and delivery mode of the related service based on internet, It is usually directed to by internet to provide dynamic easily extension and the often resource of virtualization.Cloud is one kind of network, internet Liken saying.Past often represents telecommunications network in figure with cloud, is also used for representing internet and underlying infrastructure later It is abstract.Therefore, cloud computing even can allow you to experience the operational capability of 10 TFlops per second, possess so powerful computing capability Can be with simulated-nuclear explosion, Prediction of Climate Change and market trend.User is accessed by modes such as computer, notebook, mobile phones Data center, computing is carried out by the demand of oneself.
There are a variety of sayings to the definition of cloud computing.For on earth what be cloud computing, can at least find 100 kinds of explanations. Well accepted at this stage is National Institute of Standards and Technology (NIST) definition:Cloud computing is that one kind is paid by usage amount Pattern, this pattern provides network access available, easily, on demand, into configurable computing resources shared pool (money Source includes network, server, storage, application software, service), these resources can be provided quickly, only need to put into seldom pipe Science and engineering is made, or carries out seldom interact with service supplier.
Early stage, substantial amounts of camera interference method mainly make use of the principle of imaging sensor response infrared ray.Moved to disturb Move video camera and light is generated in the picture of shooting, infrared emitter is mounted in the cinema.Except those transmitters Etc. extra cost and regular job expense, this scheme can be by enclosing appropriate filter on camera lens.It is but this Mode is easy to be avoided because of the selection of the person of taking on the sly.
In order to overcome above-mentioned deficiency, the present invention has built a kind of high in the clouds image segmentation system based on wavelet filtering, to seeing Many seat images carry out electronic analysis, carry out electronic analysis to live performance environment, and carry out the person of taking on the sly based on two kinds of analysis results Judge, in addition, the positional information also based on the person of taking on the sly is reminded the person of taking on the sly, so as to realize the orientation of the live person of taking on the sly of performance Detection and orientation warning.
Fig. 1 is the structure square frame of the high in the clouds image segmentation system based on wavelet filtering according to embodiment of the present invention Figure, the system include ccd image sensing equipment, high in the clouds image-preprocessing device, wavelet filtering equipment and sub-screen area point Equipment is cut, ccd image sensing equipment, high in the clouds image-preprocessing device and wavelet filtering equipment realize the figure to target image successively As collection, image preprocessing and image filtering, sub-screen area splitting equipment is connected with wavelet filtering equipment, for based on small echo The filtering image of filter apparatus output is partitioned into the screen subgraph of each mobile terminal in filtering image.
Then, continue to carry out further the concrete structure of the high in the clouds image segmentation system based on wavelet filtering of the present invention Explanation.
The system includes:Projection room content acquisition equipment, projection room draw curtain opposite is arranged on, for gathering projection in real time Scene image on the draw curtain of room as real-time scene image to export;Content analysis apparatus, it is arranged on the Background control of projection room Interior, it is connected respectively with sub-screen area splitting equipment and projection room content acquisition equipment, for receiving real-time scene image, also For receiving each screen subgraph seat numbering corresponding with its, each screen subgraph is entered with real-time scene image Row content matching, when content matching percentage is more than or equal to preset percentage threshold value, will be shielded with determining content matching percentage Seat numbering corresponding to curtain subgraph is as targeted seat numbering output.
The system includes:Ling Yang SPCE061A chips, are arranged in the Background control room of projection room, are set with content analysis Standby connection, the driving control signal of targeted seat numbering is included for being sent based on targeted seat numbering;Remote control equipment, it is arranged on Roof position directly over projection room draw curtain, sent out for being connected with Ling Yang SPCE061A chips with receiving Ling Yang SPCE061A chips The driving control signal come, and driving control signal is parsed to determine that targeted seat is numbered, numbered based on targeted seat Determine remote signal;Seat warning lamp, one is set on each spectators seat, for receiving remote signal to believe based on remote control Number carry out feux rouges warning;Ccd image sensing equipment, projection room roof middle position is arranged on, for projection room draw curtain opposite Auditorium carry out IMAQ to export target image.
The system includes:Data splitting equipment, positioned at high in the clouds, it is connected with ccd image sensing equipment, for by target figure As being divided into N number of image block, N is the natural number more than 1;N number of high in the clouds storage device, positioned at high in the clouds, with data splitting equipment Connection, for storing N number of image block respectively.
The system includes:High in the clouds command channel management equipment, positioned at high in the clouds, for carrying out tube channel to high in the clouds order Reason;Cloud service central apparatus, positioned at high in the clouds, it is connected with N number of high in the clouds storage device, for concentrating N number of image block, and by N Individual image block is distributed to M high in the clouds application apparatus, and M is the natural number more than 1 and M is less than or equal to N;M high in the clouds application apparatus, Positioned at high in the clouds, it is connected with cloud service central apparatus, for receiving image block be assigned to, more than one.
Each high in the clouds application apparatus includes:The sub- equipment of gray processing processing, including channel parameters extraction unit, weighted value are deposited Storage unit and gray value computing unit, channel parameters extraction unit are used to receive each image block, extract image block In each pixel R passages pixel value, G passages pixel value and channel B pixel value, weighted value memory cell be used for deposit in advance Stored up R channel weightings value, G channel weightings value and channel B weighted value, gray value computing unit respectively with channel parameters extraction unit Connected with weighted value memory cell, for each pixel in image block, by R passages pixel value and R channel weighting values The product addition of product, the product of G passages pixel value and G channel weighting values and channel B pixel value and channel B weighted value is to obtain The gray value for the pixel being directed to is taken, and the gray value based on each pixel in image block obtains ash corresponding to image block Degreeization image;Wherein, R channel weightings value value is that 0.298839, G channel weighting values value is 0.586811, channel B weighted value Value is 0.114350.
Each high in the clouds application apparatus includes:Histogram distribution detects sub- equipment, is connected, uses with the sub- equipment of gray processing processing In reception gray level image, and grey level histogram processing is carried out to gray level image to obtain corresponding histogram image, straight When bimodal distribution is presented in square figure image, global threshold selection signal is sent, otherwise, sends non-global threshold selection signal;Threshold value Sub- equipment is selected, detecting sub- equipment with histogram distribution is connected, for when receiving global threshold selection signal, by global threshold Value 128 exports as threshold data, and when receiving non-global threshold selection signal, neighbor pixel gray difference threshold 40 is made Exported for threshold data;The sub- equipment of binary conversion treatment, select sub- equipment and histogram distribution to detect sub- equipment with threshold value respectively and connect Connect, for when receiving global threshold selection signal, for each pixel in gray level image, when gray value is more than During equal to threshold data, by for pixel be arranged to white level pixel, when gray value is less than threshold data, will be directed to Pixel be arranged to black level pixel, and binary image corresponding to output gray level image.
Each high in the clouds application apparatus includes:The sub- equipment of binary conversion treatment is additionally operable to receiving non-global threshold selection letter Number when, for each pixel in gray level image, calculate vertical direction upwards apart from the pixel of its 3 pixels Gray value is as upper grey scale pixel value, and calculating vertical direction is downwards under the gray value of the pixel of its 3 pixels is used as Grey scale pixel value, calculated level direction to the left apart from its 3 pixels pixel gray value as left grey scale pixel value, meter Calculate horizontal direction to the right apart from its 3 pixels pixel gray value as right grey scale pixel value, when upper grey scale pixel value It is less than or equal to threshold data and the difference of left grey scale pixel value and right grey scale pixel value with the absolute value of the difference of lower grey scale pixel value When absolute value is less than or equal to threshold data, by for pixel be arranged to white level pixel, when upper grey scale pixel value and under The absolute value of the difference of grey scale pixel value is more than threshold data or the absolute value of the difference of left grey scale pixel value and right grey scale pixel value is big When threshold data, by for pixel be arranged to black level pixel, and binary picture corresponding to output gray level image Picture.
Each high in the clouds application apparatus includes:The sub- equipment of picture smooth treatment, it is connected, is used for the sub- equipment of binary conversion treatment Receive binary image, for each pixel in binary image, when exist in adjacent all pixels point half with On trip point when, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be arranged to white Level pixel point, and export smoothed image corresponding to binary image.
The platform includes:Data merge equipment, positioned at high in the clouds, be connected with M high in the clouds application apparatus, for by each The smoothed image of the sub- equipment output of picture smooth treatment of high in the clouds application apparatus is spliced to obtain smooth integration image;Small echo Filter apparatus, it is arranged in the Background control room of projection room, merging equipment with data is connected, for receiving smooth integration image, 2-d wavelet filtering process is performed to smooth integration image to obtain filtering image.
The platform includes:Sub-screen area splitting equipment, it is arranged in the Background control room of projection room, with wavelet filtering Sub- equipment connection is matched filtering image with the screen pattern of the various mobile terminals prestored with obtaining filtering image To detect and be partitioned into each screen subgraph in filtering image, for each screen subgraph, scheme for it in filtering Number at seat corresponding to the screen subgraph that position as in determines to be directed to.
Wherein, for screen subgraph corresponding to seat numbering be hold corresponding to the screen subgraph being directed to it is mobile eventually Projection room seat numbering where the spectators at end.
Alternatively, in the system:Content analysis apparatus carries out each screen subgraph and real-time scene image Content matching is to determine that content matching percentage specifically includes:By each pixel in real-time scene image and each screen Each pixel of image carries out pixel value matching, and the quantity of the pixel value pixel that the match is successful is more, corresponding to screen subgraph Content matching percentage is higher;The gray value of black level pixel is 0;The gray value of white level pixel is 255;Also include: Static storage device, for prestoring R channel weightings value, G channel weightings value and channel B weighted value;Static storage device is set Put in the Background control room of projection room;And the quantity of the pixel value pixel that the match is successful and the relation of content matching percentage Being can be with right and wrong linear dependence.
In addition, small echo (Wavelet) this term, as its name suggests, " small echo " is exactly small waveform.So-called " small " refers to him With Decay Rate;And be referred to as " ripple " and then refer to its fluctuation, the concussion form of its amplitude alternate positive and negative.Become with Fourier Commutation ratio, wavelet transformation are the localization analyses of time (space) frequency, he by flexible shift operations to signal (function) by Step carries out multi-scale refinement, is finally reached high frequency treatment time subdivision, and frequency is segmented at low frequency, can adapt to time frequency signal analysis automatically Requirement, so as to focus on any details of signal, solve Fourier conversion difficult problem, turn into after Fourier become Important breakthrough since changing in scientific method.Someone calls wavelet transformation " school microscop ".
The application of wavelet analysis is that the theoretical research with wavelet analysis is bound tightly together ground.He believes in science and technology Breath industrial field achieves the achievement to attract people's attention.Electronic information technology is a field important in six big new and high technologies, he Importance be image and signal transacting.Now, signal transacting has become the pith of contemporary science and technology work, letter Number processing purpose be exactly:Accurately analysis, diagnosis, coding compression and quantify, it is quick transmit or storage, accurately reconstruct (or Recover).From the point of view of mathematically angle, signal can uniformly regard that (image can be regarded as two to signal transacting as with image procossing Dimensional signal), in many applications of many analyses, signal processing problems can be attributed in wavelet analysis.For its property It is to stablize constant signal with the time, the ideal tools of processing are still Fourier analysis.But in actual applications exhausted big Majority signal is non-stable, and the instrument especially suitable for unstable signal is exactly wavelet analysis.
Can not be stealing for performance for prior art using the high in the clouds image segmentation system based on wavelet filtering of the present invention Clap the technical problem that effective detection of electrons is provided, by using targetedly, high-precision a series of images processing equipment The audience status of auditorium is analyzed with image analysis equipment, also by analyzing the environment at performance scene, upper On the basis of stating analysis, the behavior to pirates shoot person in auditorium carries out accurately detection and position identifies, finally takes aposematic mechanism Electronic reminding is carried out to the person of taking on the sly, so as to while avoiding disturbing other spectators to watch, effectively reduce the generation for behavior of taking on the sly.
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 (2)

1. a kind of high in the clouds image segmentation system based on wavelet filtering, the system includes ccd image sensing equipment, high in the clouds image Pre-processing device, wavelet filtering equipment and sub-screen area splitting equipment, ccd image sensing equipment, high in the clouds image preprocessing are set Standby and wavelet filtering equipment realizes the IMAQ, image preprocessing and image filtering to target image, sub-screen area successively Splitting equipment is connected with wavelet filtering equipment, and the filtering image for being exported based on wavelet filtering equipment is partitioned into filtering image Each mobile terminal screen subgraph.
2. the high in the clouds image segmentation system based on wavelet filtering as claimed in claim 1, it is characterised in that the system bag Include:
Projection room content acquisition equipment, projection room draw curtain opposite is arranged on, for gathering the scene graph on projection room draw curtain in real time As to be exported as real-time scene image;
Content analysis apparatus, be arranged in the Background control room of projection room, respectively with sub-screen area splitting equipment and projection room Content acquisition equipment connects, and for receiving real-time scene image, is additionally operable to receive each screen subgraph seat corresponding with its Bit number, each screen subgraph and real-time scene image are subjected to content matching to determine content matching percentage, when interior When appearance match-percentage is more than or equal to preset percentage threshold value, seat numbering corresponding to screen subgraph is compiled as targeted seat Number output;
Ling Yang SPCE061A chips, are arranged in the Background control room of projection room, are connected with Content analysis apparatus, for based on mesh Standard seat bit number sends the driving control signal for including targeted seat numbering;
Remote control equipment, the roof position being arranged on directly over projection room draw curtain, for being connected with Ling Yang SPCE061A chips to connect The driving control signal that Ling Yang SPCE061A chips are sent is received, and driving control signal is parsed to determine that targeted seat is compiled Number, numbered based on targeted seat and determine remote signal;
Seat warning lamp, one is set on each spectators seat, it is red to be carried out based on remote signal for receiving remote signal Light warns;
Ccd image sensing equipment, projection room roof middle position is arranged on, for the auditorium progress to projection room draw curtain opposite IMAQ is to export target image;
Data splitting equipment, positioned at high in the clouds, it is connected with ccd image sensing equipment, for target image to be divided into N number of image point Block, N are the natural number more than 1;
N number of high in the clouds storage device, positioned at high in the clouds, it is connected with data splitting equipment, for storing N number of image block respectively;
High in the clouds command channel management equipment, positioned at high in the clouds, for carrying out channel management to high in the clouds order;
Cloud service central apparatus, positioned at high in the clouds, it is connected with N number of high in the clouds storage device, for concentrating N number of image block, and by N Individual image block is distributed to M high in the clouds application apparatus, and M is the natural number more than 1 and M is less than or equal to N;
M high in the clouds application apparatus, positioned at high in the clouds, be connected with cloud service central apparatus, for receive be assigned to, more than one Image block, each high in the clouds application apparatus includes:
The sub- equipment of gray processing processing, including channel parameters extraction unit, weighted value memory cell and gray value computing unit, passage Parameter extraction unit be used for receive each image block, extract each pixel in image block R passages pixel value, G passages pixel value and channel B pixel value, weighted value memory cell are used to prestore R channel weightings value, G channel weighting values With channel B weighted value, gray value computing unit is connected with channel parameters extraction unit and weighted value memory cell respectively, for figure As each pixel in piecemeal, by R passages pixel value and product, G passages pixel value and the G channel weightings of R channel weighting values The gray value for the pixel that the product and channel B pixel value of value are directed to the product addition of channel B weighted value with obtaining, and base The gray value of each pixel obtains gray level image corresponding to image block in image block;Wherein, R channel weightings value takes It is 0.586811 to be worth for 0.298839, G channel weighting values value, and channel B weighted value value is 0.114350;
Histogram distribution detects sub- equipment, is connected with the sub- equipment of gray processing processing, for receiving gray level image, and to gray processing Image carries out grey level histogram processing to obtain corresponding histogram image, when bimodal distribution is presented in histogram image, sends Global threshold selection signal, otherwise, send non-global threshold selection signal;
Threshold value selects sub- equipment, and detecting sub- equipment with histogram distribution is connected, for when receiving global threshold selection signal, Exported global threshold 128 as threshold data, when receiving non-global threshold selection signal, by neighbor pixel gray scale difference Threshold value 40 exports as threshold data;
The sub- equipment of binary conversion treatment, select sub- equipment and histogram distribution to detect sub- equipment with threshold value respectively and be connected, for connecing When receiving global threshold selection signal, for each pixel in gray level image, when gray value is more than or equal to number of threshold values According to when, by for pixel be arranged to white level pixel, when gray value is less than threshold data, by for pixel set It is set to black level pixel, and binary image corresponding to output gray level image;The sub- equipment of binary conversion treatment is additionally operable to connecing When receiving non-global threshold selection signal, for each pixel in gray level image, the upward distance of vertical direction is calculated The gray value of the pixel of its 3 pixels calculates vertical direction downwards apart from its 3 pixels as upper grey scale pixel value The gray value of pixel as lower grey scale pixel value, calculated level direction to the left apart from its 3 pixels pixel gray scale Value be used as left grey scale pixel value, calculated level direction to the right apart from its 3 pixels pixel gray value as right pixel Gray value, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value are less than or equal to threshold data and left grey scale pixel value When being less than or equal to threshold data with the absolute value of the difference of right grey scale pixel value, by for pixel be arranged to white level pixel Point, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value are more than threshold data or left grey scale pixel value and right pixel When the absolute value of the difference of gray value is more than threshold data, by for pixel be arranged to black level pixel, and output gray level Change binary image corresponding to image;
The sub- equipment of picture smooth treatment, it is connected with the sub- equipment of binary conversion treatment, for receiving binary image, for binary picture Each pixel as in, when more than half trip point in adjacent all pixels point be present, then by for pixel The gray value of point retains, otherwise, by for the gray value of pixel be arranged to white level pixel, and export binary image Corresponding smoothed image;
Data merge equipment, positioned at high in the clouds, are connected with M high in the clouds application apparatus, for by the figure of each high in the clouds application apparatus As the smoothed image that the sub- equipment of smoothing processing exports is spliced to obtain smooth integration image;
Wavelet filtering equipment, it is arranged in the Background control room of projection room, merging equipment with data is connected, smooth whole for receiving Image is closed, 2-d wavelet filtering process is performed to smooth integration image to obtain filtering image;
Sub-screen area splitting equipment, it is arranged in the Background control room of projection room, is connected with the sub- equipment of wavelet filtering to obtain Filtering image, filtering image is matched to detect and be partitioned into filter with the screen pattern of the various mobile terminals prestored Each screen subgraph in ripple image, for each screen subgraph, pin is determined for its position in filtering image To screen subgraph corresponding to seat numbering;Wherein, for screen subgraph corresponding to seat numbering hold and be directed to Projection room seat numbering corresponding to screen subgraph where the spectators of mobile terminal;
Each screen subgraph and real-time scene image are carried out content matching to determine content matching hundred by Content analysis apparatus Ratio is divided to specifically include:Each pixel in real-time scene image and each pixel of each screen subgraph are subjected to pixel value Matching, the quantity of the pixel value pixel that the match is successful is more, and content matching percentage is higher corresponding to screen subgraph;
The gray value of black level pixel is 0.
CN201610478006.9A 2016-06-27 2016-06-27 High in the clouds image segmentation system based on wavelet filtering Pending CN107545575A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610478006.9A CN107545575A (en) 2016-06-27 2016-06-27 High in the clouds image segmentation system based on wavelet filtering

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610478006.9A CN107545575A (en) 2016-06-27 2016-06-27 High in the clouds image segmentation system based on wavelet filtering

Publications (1)

Publication Number Publication Date
CN107545575A true CN107545575A (en) 2018-01-05

Family

ID=60961440

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610478006.9A Pending CN107545575A (en) 2016-06-27 2016-06-27 High in the clouds image segmentation system based on wavelet filtering

Country Status (1)

Country Link
CN (1) CN107545575A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108694704A (en) * 2018-03-29 2018-10-23 吴英 Intelligent image scene filtering method
CN108837520A (en) * 2018-06-29 2018-11-20 许兰兰 Bungee jumping rope body discharges drive system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108694704A (en) * 2018-03-29 2018-10-23 吴英 Intelligent image scene filtering method
CN108694704B (en) * 2018-03-29 2019-05-03 上海极链网络科技有限公司 Intelligent live image filtering method
CN108837520A (en) * 2018-06-29 2018-11-20 许兰兰 Bungee jumping rope body discharges drive system

Similar Documents

Publication Publication Date Title
CN101281422B (en) Apparatus and method for generating three-dimensional information based on object as well as using interactive system
CN106027849B (en) High in the clouds high-definition image processing platform
CN105868748A (en) Data service platform on basis of cloud processing
CN110163076A (en) A kind of image processing method and relevant apparatus
CN107547850A (en) Big data processing method and big data processing unit
CN107547852A (en) A kind of big data storage system
EP4050305A1 (en) Visual positioning method and device
CN105868747B (en) Cloud computing system
CN107146252A (en) A kind of big data image processing apparatus
CN108471497A (en) A kind of ship target real-time detection method based on monopod video camera
CN110706328B (en) Three-dimensional scene virtual generation method and system based on GAN network
CN107545575A (en) High in the clouds image segmentation system based on wavelet filtering
CN105872115B (en) A kind of remote supervision system based on cloud computing
CN109858319A (en) Image processing equipment and control method and non-transitory computer-readable storage media
CN106157302A (en) High in the clouds based on wavelet filtering image segmentation system
CN116704324A (en) Target detection method, system, equipment and storage medium based on underwater image
WO2021244114A1 (en) Visual positioning method and apparatus
CN107547845A (en) Big data processing method and big data processing unit
CN105955058A (en) Wireless intelligent household system
CN107545211A (en) High in the clouds data handling system
CN112633158A (en) Power transmission line corridor vehicle identification method, device, equipment and storage medium
CN106157260B (en) parallel image smoothing processing platform
CN106855875A (en) Data combination system based on distributed treatment
CN106131484B (en) Parallel image binary processing system
CN102740057A (en) Image detection analysis method and device aiming at urban lighting facilities

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180105