CN110035259A - The processing method of video image, apparatus and system - Google Patents
The processing method of video image, apparatus and system Download PDFInfo
- Publication number
- CN110035259A CN110035259A CN201910273011.XA CN201910273011A CN110035259A CN 110035259 A CN110035259 A CN 110035259A CN 201910273011 A CN201910273011 A CN 201910273011A CN 110035259 A CN110035259 A CN 110035259A
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- video image
- video
- frame picture
- processing
- sobel operator
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
-
- 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
-
- 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
- G06T2207/10016—Video; Image sequence
Abstract
The embodiment of the invention provides a kind of processing methods of video image, apparatus and system, which comprises receives the first video image that video capture device uploads, wherein the first video image includes each frame picture acquired in specified time；Edge analysis processing is carried out by each frame picture of the Sobel operator to the first video image；By treated, each frame picture reintegrates into the second video image.The integrality for retaining necessary information simultaneously, and greatly protect the privacy of user that will not bring loss to user even if video is seen by a third party.
Description
Technical field
The present invention relates to technical field of intelligent equipment, in particular to a kind of processing method of video image, device and
System.
Background technique
Due to the development of Internet technology and Internet of things hardware, monitor video has been applied in various scenes.Thus band
The Privacy Protection come is also increasingly by social concerns.Because monitoring passes through the complete mistake under a certain scene of videograph
Journey contains the privacy information under user or monitored scene wherein may include a large amount of invalid informations.
Current technology mainly protects the means of privacy, first is that passing through convolution algorithm for blurred background.Second is that using masking
Method fixed area is covered background.Third is that non-essential information is broken mosaic.But these processing methods are all deposited
In various problems, such as: it is not intuitive enough；Due to hiding or having obscured background, it is imperfect to may cause video information；Camera lens
It isolates so that show limitation, can not achieve accurate monitoring；It needs to cooperate artificial judgment privacy information, waste of manpower.
There are a large amount of privacy informations in video monitoring in the prior art and can not be effectively handled, there has been no
Reasonable solution.
Summary of the invention
The embodiment of the invention provides a kind of processing methods of video image, apparatus and system, at least to solve related skill
There are a large amount of privacy informations in art in video monitoring and can not be effectively handled.
According to one embodiment of present invention, a kind of processing method of video image is provided, comprising: receive video acquisition
The first video image that equipment uploads, wherein first video image includes each frame picture acquired in specified time；It is logical
It crosses Sobel operator and edge analysis processing is carried out to each frame picture of first video image；It will that treated be each
Picture described in frame reintegrates into the second video image.
Preferably, it is carried out at edge analysis by each frame picture of the Sobel operator to first video image
Reason includes: to be set as being 3 × 3 by the Sobel operator template size, by direction calculus of differences and local weighted average mutually knot
It closes to extract edge.
Preferably, it is carried out at edge analysis by each frame picture of the Sobel operator to first video image
Reason includes: first to be weighted and averaged before seeking image gradient, is not then divided.
Preferably, will be after picture described in treated each frame to reintegrate into the second video image, the method is also
It include: to send display equipment for second video image after integration.
According to another embodiment of the invention, a kind of processing unit of video image is additionally provided, comprising: receive mould
Block, for receiving the first video image of video capture device upload, wherein first video image includes in specified time
Each frame picture of acquisition；Processing module, for being carried out by each frame picture of the Sobel operator to first video image
Edge analysis processing；Module is integrated, for the second video image will to be reintegrated by picture described in treated each frame.
Preferably, the processing module includes: first processing units, for setting the Sobel operator template size
To be 3 × 3, direction calculus of differences is extracted into edge with local weighted averagely combine.
According to another embodiment of the invention, a kind of processing system of video image, including server, institute are additionally provided
It states server to be used for: receiving the first video image that video capture device uploads, wherein first video image includes specified
The each frame picture acquired in time；Image side is carried out by each frame picture of the Sobel operator to first video image
Fate analysis processing；The second video image will be reintegrated by picture described in treated each frame.
Preferably, the system also includes display equipment, the server be also used to integrate after second video
Image is sent to the display equipment；The display equipment second video image for rendering.
Other side according to an embodiment of the present invention additionally provides a kind of storage medium, which is characterized in that the storage
Computer program is stored in medium, wherein the computer program is arranged to execute any of the above-described method reality when operation
Apply the step in example.
According to another embodiment of the invention, a kind of electronic device, including memory and processor are additionally provided, it is special
Sign is, computer program is stored in the memory, and the processor is arranged to run the computer program to hold
Step in row any of the above-described embodiment of the method.
Through the embodiment of the present invention, video monitoring image is analyzed and processed by Sobel operator, it is real-time by what is received
Monitoring data is effectively handled.The integrality for retaining necessary information simultaneously, and greatly protect the privacy of user,
Even if video is seen by a third party, loss will not be brought to user.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of hardware block diagram of the mobile terminal of the processing method of video image of the embodiment of the present invention；
Fig. 2 is the flow chart of the processing method of middle video image according to embodiments of the present invention；
Fig. 3 is the structural block diagram of the processing unit of video image according to an embodiment of the present invention；
Fig. 4 is the structural block diagram of the processing system of video image according to an embodiment of the present invention；
Fig. 5 is kitchen of restaurant monitoring realistic picture according to an embodiment of the present invention；
Fig. 6 is kitchen of restaurant monitoring figure after treatment according to an embodiment of the present invention.
Specific embodiment
Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and in combination with Examples.It should be noted that not conflicting
In the case of, the features in the embodiments and the embodiments of the present application can be combined with each other.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.
Embodiment 1
Embodiment of the method provided by the embodiment of the present application one can be in mobile terminal, terminal or similar fortune
It calculates and is executed in device.For running on mobile terminals, Fig. 1 is a kind of processing method of video image of the embodiment of the present invention
Mobile terminal hardware block diagram.As shown in Figure 1, mobile terminal 10 may include that one or more (only shows one in Fig. 1
It is a) (processor 102 can include but is not limited to the processing of Micro-processor MCV or programmable logic device FPGA etc. to processor 102
Device) and memory 104 for storing data, optionally, above-mentioned mobile terminal can also include the biography for communication function
Transfer device 106 and input-output equipment 108.It will appreciated by the skilled person that structure shown in FIG. 1 is only to show
Meaning, does not cause to limit to the structure of above-mentioned mobile terminal.For example, mobile terminal 10 may also include it is more than shown in Fig. 1
Perhaps less component or with the configuration different from shown in Fig. 1.
Memory 104 can be used for storing computer program, for example, the software program and module of application software, such as this hair
The corresponding computer program of the processing method of video image in bright embodiment, processor 102 are stored in memory by operation
Computer program in 104 realizes above-mentioned method thereby executing various function application and data processing.Memory 104
May include high speed random access memory, may also include nonvolatile memory, as one or more magnetic storage device, flash memory,
Or other non-volatile solid state memories.In some instances, memory 104 can further comprise relative to processor 102
Remotely located memory, these remote memories can pass through network connection to mobile terminal 10.The example packet of above-mentioned network
Include but be not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Transmitting device 106 is used to that data to be received or sent via a network.Above-mentioned network specific example may include
The wireless network that the communication providers of mobile terminal 10 provide.In an example, transmitting device 106 includes a Network adaptation
Device (Network Interface Controller, referred to as NIC), can be connected by base station with other network equipments to
It can be communicated with internet.In an example, transmitting device 106 can for radio frequency (Radio Frequency, referred to as
RF) module is used to wirelessly be communicated with internet.
The embodiment of the invention provides a kind of processing methods of video image.Fig. 2 is middle video according to embodiments of the present invention
The flow chart of the processing method of image, as shown in Fig. 2, this method comprises:
Step S201 receives the first video image that video capture device uploads, wherein the first video image includes specified
The each frame picture acquired in time；
Step S203 carries out edge analysis processing by each frame picture of the Sobel operator to the first video image；
Step S205, by treated, each frame picture reintegrates into the second video image.
Pass through the above method, receives the first video image that video capture device uploads, wherein the first video image includes
The each frame picture acquired in specified time；Image side is carried out by each frame picture of the Sobel operator to the first video image
Fate analysis processing；By treated, each frame picture reintegrates into the second video image.In the integrality for retaining necessary information
Meanwhile and greatly protecting the privacy of user that will not bring loss to user even if video is seen by a third party.
Preferably, above-mentioned steps S203 can be realized by following steps: Sobel operator template size is set as being 3
× 3, direction calculus of differences is extracted into edge with local weighted averagely combine.
Preferably, above-mentioned steps S203 can also be realized by following steps: before seeking image gradient, first be added
Then weight average is not divided.
Preferably, after above-mentioned steps S205, the method also includes: it sends the second video image after integration to
Show equipment.
According to another embodiment of the invention, a kind of processing unit of video image is additionally provided, it is above-mentioned for executing
Step in either method embodiment, details are not described herein again for the content having been noted above.Fig. 3 is view according to an embodiment of the present invention
The structural block diagram of the processing unit of frequency image, as shown in Figure 3, comprising: receiving module 30 is uploaded for receiving video capture device
The first video image, wherein the first video image includes each frame picture acquired in specified time；Processing module 32 is used
In each frame picture progress edge analysis processing by Sobel operator to the first video image；Module 34 is integrated, is used for
By treated, each frame picture reintegrates into the second video image.
By above-mentioned apparatus, receiving module 30 receives the first video image that video capture device uploads, wherein the first view
Frequency image includes each frame picture acquired in specified time；Processing module 32 is by Sobel operator to the first video image
Each frame picture carries out edge analysis processing；Integrating module 34, each frame picture reintegrates into the second view by treated
Frequency image is analyzed and processed video monitoring image by Sobel operator, the real-time monitoring data that will be received, effective to carry out
Processing.The integrality for retaining necessary information simultaneously, and greatly the privacy of user is protected, even if video is seen by third party
It arrives, loss will not be brought to user.
Preferably, the processing module 32 includes: first processing units, for Sobel operator template size to be set as
It is 3 × 3, direction calculus of differences is extracted into edge with local weighted averagely combine.
According to another embodiment of the invention, a kind of processing system of video image is additionally provided, it is above-mentioned for executing
Step in either method embodiment carries the module in any of the above-described Installation practice, and the content having been noted above is herein
It repeats no more.Fig. 4 is the structural block diagram of the processing system of video image according to an embodiment of the present invention, as shown in figure 4, including clothes
Business device 40, server is used for: receiving the first video image that video capture device uploads, wherein the first video image includes referring to
It fixes time each frame picture of interior acquisition；Image border is carried out by each frame picture of the Sobel operator to the first video image
Analysis processing；By treated, each frame picture reintegrates into the second video image.
Preferably, the system also includes display equipment 42, the second video image after server is also used to integrate is sent out
It is sent to display equipment 42；Show second video image for rendering of equipment 42.
Technical solution in embodiment for a better understanding of the present invention is with the video monitoring picture of kitchen of restaurant below
Example is specifically described.
The processing method of the video monitoring image of kitchen of restaurant may comprise steps of:
1. information collection.Each frame image is collected by monitoring camera.It uploads per minute and once arrives server.
2. server starts to process the picture of upload, every frame picture carries out edge analysis by Sobel operator.
Sobel operator template size is 3 × 3, and direction calculus of differences is extracted edge with local weighted averagely combine.It is seeking
It before image gradient, is first weighted and averaged, is not then divided, strengthened to the consistent of noise.Sobel operator is spatially
It is easier to realize, not only generates preferable edge detection effect, simultaneously as making it by noise which introduce local average
Influence it is also smaller.
3. every frame picture is reintegrated into video, it is presented on the APP of user.
Edge analysis is carried out by Sobel operator as above content provides.Technically, it is one discrete
First difference operator, for calculate brightness of image function First-order Gradient approximation.This calculation is used in any point of image
Son, it will generate the corresponding gradient vector of point or its law vector.Sobel operator template size is 3 × 3, by direction difference
Partite transport, which is calculated, extracts edge with local weighted averagely combine.According to this algorithm, we go to the edge in identification image, will know
The marginal portion being clipped to is sketched the contours with lines, and other parts carry out blank filling, forms Fig. 6 example.Fig. 5 is to implement according to the present invention
The kitchen of restaurant of example monitors realistic picture, and Fig. 6 is kitchen of restaurant monitoring figure after treatment according to an embodiment of the present invention.
The invention to in whole image picture scene and article be uniformly processed.3D effect is presented in monitor video, or
By video pictures by convolution algorithm, Fuzzy Processing is carried out.
The core formula of operator:
The operator includes the matrix of two groups of 3x3, respectively transverse direction and longitudinal direction, it is made planar convolution, Ji Kefen with image
The brightness difference approximation of transverse direction and longitudinal direction is not obtained.If representing original image with A, Gx and Gy are respectively represented through lateral and vertical
To the image of edge detection, formula is as follows:
The transverse direction and longitudinal direction gradient approximation of each pixel of image can be combined with formula below, be come
Calculate the size of gradient.
Gradient direction can be calculated with following formula.
In the above example, if above angle Θ is equal to zero, i.e. representative image possesses longitudinal edge at this, left compared with
Right is dark.
Under the application scenarios of restaurant kitchen, the present invention can be convenient user of service clearly recognize dining room specific object and
Position, and the third party can be prevented to be immediately seen all information in rear kitchen, play a significant role for kitchen information after protection.
Embodiment 2
The embodiments of the present invention also provide a kind of storage medium, computer program is stored in the storage medium, wherein
The computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
Optionally, in the present embodiment, above-mentioned storage medium can be set to store by executing based on following steps
Calculation machine program:
Step S1 receives the first video image that video capture device uploads, wherein when the first video image includes specified
Each frame picture of interior acquisition；
Step S2 carries out edge analysis processing by each frame picture of the Sobel operator to the first video image；
Step S3, by treated, each frame picture reintegrates into the second video image.
Optionally, in the present embodiment, above-mentioned storage medium can include but is not limited to: USB flash disk, read-only memory (Read-
Only Memory, referred to as ROM), it is random access memory (Random Access Memory, referred to as RAM), mobile hard
The various media that can store computer program such as disk, magnetic or disk.
The embodiments of the present invention also provide a kind of electronic device, including memory and processor, stored in the memory
There is computer program, which is arranged to run computer program to execute the step in any of the above-described embodiment of the method
Suddenly.
Optionally, above-mentioned electronic device can also include transmission device and input-output equipment, wherein the transmission device
It is connected with above-mentioned processor, which connects with above-mentioned processor.
Optionally, in the present embodiment, above-mentioned processor can be set to execute following steps by computer program:
Step S1 receives the first video image that video capture device uploads, wherein when the first video image includes specified
Each frame picture of interior acquisition；
Step S2 carries out edge analysis processing by each frame picture of the Sobel operator to the first video image；
Step S3, by treated, each frame picture reintegrates into the second video image.
Specific example in the present embodiment can refer to example described in above-described embodiment and optional embodiment, this
Details are not described herein for embodiment.
Obviously, those skilled in the art should be understood that each module of the above invention or each step can be with general
Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
It is performed by computing device in the storage device, and in some cases, it can be to be different from shown in sequence execution herein
Out or description the step of, perhaps they are fabricated to each integrated circuit modules or by them multiple modules or
Step is fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific hardware and softwares to combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.It is all within principle of the invention, it is made it is any modification, etc.
With replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of processing method of video image characterized by comprising
Receive the first video image that video capture device uploads, wherein first video image includes adopting in specified time
Each frame picture of collection；
Edge analysis processing is carried out by each frame picture of the Sobel operator to first video image；
The second video image will be reintegrated by picture described in treated each frame.
2. the method according to claim 1, wherein by Sobel operator to the every of first video image
One frame picture carries out edge analysis processing
The Sobel operator template size is set as being 3 × 3, direction calculus of differences is averagely combined with local weighted
To extract edge.
3. according to the method described in claim 2, it is characterized in that, by Sobel operator to the every of first video image
One frame picture carries out edge analysis processing
It before seeking image gradient, is first weighted and averaged, is not then divided.
4. the method according to claim 1, wherein picture described in treated each frame is reintegrated into the
After two video images, the method also includes:
Display equipment is sent by second video image after integration.
5. a kind of processing unit of video image characterized by comprising
Receiving module, for receiving the first video image of video capture device upload, wherein first video image includes
The each frame picture acquired in specified time；
Processing module, for carrying out edge analysis by each frame picture of the Sobel operator to first video image
Processing；
Module is integrated, for the second video image will to be reintegrated by picture described in treated each frame.
6. device according to claim 5, which is characterized in that the processing module includes:
First processing units, for the Sobel operator template size to be set as being 3 × 3, by direction calculus of differences and office
Portion's weighted average combines to extract edge.
7. a kind of processing system of video image, which is characterized in that including server, the server is used for:
Receive the first video image that video capture device uploads, wherein first video image includes adopting in specified time
Each frame picture of collection；
Edge analysis processing is carried out by each frame picture of the Sobel operator to first video image；
The second video image will be reintegrated by picture described in treated each frame.
8. system according to claim 7, which is characterized in that the system also includes display equipment,
The server is also used to send the display equipment for second video image after integration；
The display equipment second video image for rendering.
9. a kind of storage medium, which is characterized in that be stored with computer program in the storage medium, wherein the computer
Program is arranged to execute method described in any one of Claims 1-4 when operation.
10. a kind of electronic device, including memory and processor, which is characterized in that be stored with computer journey in the memory
Sequence, the processor are arranged to run the computer program to execute side described in any one of Claims 1-4
Method.
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| CN201910273011.XA CN110035259A (en) | 2019-04-04 | 2019-04-04 | The processing method of video image, apparatus and system |
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| CN112601054A (en) * | 2020-12-14 | 2021-04-02 | 珠海格力电器股份有限公司 | Pickup picture acquisition method and device, storage medium and electronic equipment |
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