CN109743553A - A kind of hidden image detection method and system based on deep learning model - Google Patents
A kind of hidden image detection method and system based on deep learning model Download PDFInfo
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Abstract
The present invention relates to technical field of image detection, especially a kind of hidden image detection system based on deep learning model, including central processing unit, the heart in systems is arranged in central processing unit, allotment manipulation is carried out to whole system, central processing unit is electrically connected with image compression module, image compression module is electrically connected with module of target detection, module of target detection is electrically connected with CCD/CMOS sensing module, CCD/CMOS sensing module is electrically connected with image capture module, central processing unit is electrically connected with image output module, image output module is electrically connected with image analysis module, image analysis module is electrically connected with image processing module, image processing module is electrically connected with image information confirmation module, method and step in the hidden image detection method and system based on deep learning model is clear, It operates simple and effective, the operation interface of system is simple, and security protection performance is high, and image procossing is very competent.
Description
Technical field
The present invention relates to technical field of image detection more particularly to a kind of hidden image detections based on deep learning model
Method and system.
Background technique
Image object detection is the theory and method using the fields such as image procossing and pattern-recognition, the location sense from image
The target of interest, needs accurately to judge the specific category of each target, and provides the bounding box of each target.Image object inspection
It surveys in recognition of face, medical image, intelligent video monitoring, robot navigation, content-based image retrieval, drawing based on image
The fields such as technology, picture editting and augmented reality processed are all widely used.Traditional hidden image detection method and system step
Rapid indefinite, system operatio is got up extremely complex, causes image detection efficiency extremely low thus.
Summary of the invention
The purpose of the present invention is to solve disadvantages existing in the prior art, and the one kind proposed is based on deep learning mould
The hidden image detection method and system of type.
To achieve the goals above, present invention employs following technical solutions:
Design a kind of hidden image detection system based on deep learning model, including central processing unit, the centre
The device setting heart in systems is managed, allotment manipulation is carried out to whole system, the central processing unit is electrically connected with compression of images mould
Block, described image compression module are electrically connected with module of target detection, and the module of target detection is electrically connected with CCD/CMOS
Sensing module, the CCD/CMOS sensing module are electrically connected with image capture module, and the central processing unit is electrically connected with
Image output module, described image output module are electrically connected with image analysis module, and described image analysis module is electrically connected
There is image processing module, described image processing module is electrically connected with image information confirmation module, and image capture module carries out figure
As acquisition, acquisition, which is finished, is transmitted to the transmission that CCD/CMOS sensing module carries out image information data for image information, transfers
By information data transmission to the detection of module of target detection part image information after finishing, see whether image information meets target and want
It asks, but due to transmitting the huge of data, just needs to carry out it using image compression module the compression of image data at this time, press
Contracting focuses on information data transmission to central processing unit after finishing, and passes through image information data after being disposed
The output of image information is carried out by image output module, output is transmitted to image analysis module progress image and specifically believes after finishing
The analysis of breath is handled, and analysis is transmitted to image processing module and carries out image procossing after being disposed, and is transmitted after being disposed
The confirmation of image information is carried out to image information confirmation module.
Preferably, described image acquisition module includes that the Internet images download module, camera shooting module and image are adopted
Truck acquisition module, the Internet images download module can carry out the downloading of associated picture, camera shooting module from internet
Photography can be carried out to object and directly acquires image, and image pick-up card acquisition module can carry out image using image pick-up card
The acquisition of information.
Preferably, described image analysis module includes picture position analysis module, image temporal analysis module and image
Size analysis module, picture position analysis module can parse the location information of image, and image temporal analysis module can be analyzed
The temporal information of image out, specially which time point shooting or production, image size analysis module can analyze image
The size to be taken up space.
Preferably, the CCD/CMOS sensing module is electrically connected with filtering processing module and feedback module, due to
CCD/CMOS sensing module is doped with a lot of other information datas during carrying out image information transmission, just needs at this time
Filtering processing module is filtered filtering to it, and when the image information of CCD/CMOS sensing module discovery transmission is problematic,
It can be transferred to feedback module at the first time and carry out information feedback.
Preferably, the central processing unit is electrically connected with data safety detection module, the data safety detection module
It is electrically connected with remote maintenance module, data safety detection module can play the work of Data Detection to the operation of whole system
With, and when detection goes wrong, remote maintenance module can carry out security maintenance to whole system.
Preferably, the central processing unit is electrically connected with image classification module, and described image categorization module is electrically connected
There is image classification memory, described image classification memory is electrically connected with image comparison module, described image contrast module electricity
Property be connected with repetition detection module, and repeat detection module and image output module is electrically connected, image comparison module and image
Validation of information module is electrically connected, and the information data that central processing unit receives is stored, but image information at this time
Data are too many, just need to carry out image classification via image classification module, image classification is transmitted to image classification after finishing and deposits
Reservoir is stored, image information confirmation module confirmation message data finish after via image comparison module and carry out image letter
The comparison of data is ceased, if via the information data after the confirmation of image information confirmation module and the information in image classification memory
Data are identical, just need to carry out repeating detection via repetition detection module.
A kind of hidden image detection method based on deep learning model, includes the following steps:
S1, it is carried out first with the Internet images download module, camera shooting module and image pick-up card acquisition module
Image Acquisition, Image Acquisition finish be transmitted to CCD/CMOS sensing module carry out data transmission process need in the process
It is filtered；
It needs to carry out target detection and compression of images to the image information data of transmission in S2, transmission process, to guarantee
Efficiency of transmission；
S3, after image information data is transmitted to central processing unit and is focused on, need to export mould by image
Block carries out the output of image information data, and output just needs image analysis module to carry out dividing for image information data after finishing
Analysis, analysis include position analysis, time analysis and the analysis of image size；
S4, analysis reprocess the concentration that image information data is transmitted to image processing module progress image after finishing,
The confirmation that image information confirmation module carries out image information is transmitted to after being disposed.
A kind of hidden image detection method and system based on deep learning model proposed by the present invention, beneficial effect exist
In: the method and step being somebody's turn to do in hidden image detection method and system based on deep learning model is clear, and operating simply has
Effect, the operation interface of system is simple, and security protection performance is high, and image procossing is very competent.
Detailed description of the invention
Fig. 1 is a kind of system block diagram of the hidden image detection system based on deep learning model proposed by the present invention.
Fig. 2 is a kind of image analysis module of the hidden image detection system based on deep learning model proposed by the present invention
System block diagram.
Fig. 3 is a kind of image capture module of the hidden image detection system based on deep learning model proposed by the present invention
System block diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Referring to Fig.1-3, a kind of hidden image detection system based on deep learning model, including central processing unit, center
The heart in systems is arranged in processor, carries out allotment manipulation to whole system, and central processing unit is electrically connected with image compression module,
Image compression module is electrically connected with module of target detection, and module of target detection is electrically connected with CCD/CMOS sensing module,
CCD/CMOS sensing module is electrically connected with image capture module, and central processing unit is electrically connected with image output module, image
Output module is electrically connected with image analysis module, and image analysis module is electrically connected with image processing module, image procossing mould
Block is electrically connected with image information confirmation module, and image capture module carries out Image Acquisition, and acquisition, which finishes, transmits image information
The transmission of image information data is carried out to CCD/CMOS sensing module, end of transmission is later by information data transmission to target detection
The detection of modular member image information, sees whether image information meets target call, but due to transmitting the huge of data, at this time just
It needs to carry out it using image compression module the compression of image data, compresses information data transmission to centre after finishing
Reason device is focused on, and image information data is carried out the defeated of image information via image output module after being disposed
Out, output is transmitted to the analysis processing that image analysis module carries out image specifying information after finishing, after analysis is disposed
It is transmitted to image processing module and carries out image procossing, image information confirmation module is transmitted to after being disposed and carries out image information
Confirmation.
Image capture module includes the Internet images download module, camera shooting module and image pick-up card acquisition mould
Block, the Internet images download module can carry out the downloading of associated picture from internet, and camera shooting module can be to target
Object carries out photography and directly acquires image, and image pick-up card acquisition module can carry out adopting for image information using image pick-up card
Collection.
Image analysis module includes picture position analysis module, image temporal analysis module and image size analysis mould
Block, picture position analysis module can parse the location information of image, image temporal analysis module can analyze image when
Between information, specially which shooting or production at time point, image size analysis module can analyze space shared by image
Size.
CCD/CMOS sensing module is electrically connected with filtering processing module and feedback module, since CCD/CMOS senses mould
Block is doped with a lot of other information datas during carrying out image information transmission, just needs that module pair is filtered at this time
It is filtered filtering, and when the image information of CCD/CMOS sensing module discovery transmission is problematic, it can pass at the first time
It is defeated by feedback module and carries out information feedback.
Central processing unit is electrically connected with data safety detection module, and data safety detection module is electrically connected with long-range dimension
Module is protected, data safety detection module can play the role of Data Detection to the operation of whole system, and when detection is asked
When topic, remote maintenance module can carry out security maintenance to whole system.
Central processing unit is electrically connected with image classification module, and image classification module is electrically connected with image classification storage
Device, image classification memory are electrically connected with image comparison module, and image comparison module is electrically connected with repetition detection module, and
It repeating detection module and image output module is electrically connected, image comparison module and image information confirmation module are electrically connected, in
The information data that central processor receives is stored, but image information data is too many at this time, is just needed via image
Categorization module carries out image classification, and image classification is transmitted to image classification memory after finishing and is stored, and image information is true
Recognize via the comparison of image comparison module and progress image information data after module confirmation message data finish, if via figure
Information data after confirming as validation of information module is identical as the information data in image classification memory, just needs via repetition
Detection module carries out repeating detection.
The present invention also provides a kind of hidden image detection methods based on deep learning model, include the following steps:
S1, it is carried out first with the Internet images download module, camera shooting module and image pick-up card acquisition module
Image Acquisition, Image Acquisition finish be transmitted to CCD/CMOS sensing module carry out data transmission process need in the process
It is filtered；
It needs to carry out target detection and compression of images to the image information data of transmission in S2, transmission process, to guarantee
Efficiency of transmission；
S3, after image information data is transmitted to central processing unit and is focused on, need to export mould by image
Block carries out the output of image information data, and output just needs image analysis module to carry out dividing for image information data after finishing
Analysis, analysis include position analysis, time analysis and the analysis of image size；
S4, analysis reprocess the concentration that image information data is transmitted to image processing module progress image after finishing,
The confirmation that image information confirmation module carries out image information is transmitted to after being disposed.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (7)
1. a kind of hidden image detection system based on deep learning model, including central processing unit, the central processing unit are set
The heart in systems is set, allotment manipulation is carried out to whole system, which is characterized in that the central processing unit is electrically connected with image pressure
Contracting module, described image compression module are electrically connected with module of target detection, and the module of target detection is electrically connected with CCD/
CMOS sensing module, the CCD/CMOS sensing module are electrically connected with image capture module, and the central processing unit electrically connects
It is connected to image output module, described image output module is electrically connected with image analysis module, and described image analysis module is electrical
Be connected with image processing module, described image processing module is electrically connected with image information confirmation module, image capture module into
Row Image Acquisition, acquisition, which is finished, is transmitted to the transmission that CCD/CMOS sensing module carries out image information data for image information, passes
The detection after finishing by information data transmission to module of target detection part image information is finished, sees whether image information meets target
It is required that but due to transmission data it is huge, just need to carry out it using image compression module the compression of image data at this time,
Compression focuses on information data transmission to central processing unit after finishing, by image information data after being disposed
The output of image information is carried out via image output module, output is transmitted to image analysis module progress image after finishing specific
The analysis of information is handled, and analysis is transmitted to image processing module and carries out image procossing after being disposed, and is passed after being disposed
Transport to the confirmation that image information confirmation module carries out image information.
2. a kind of hidden image detection system based on deep learning model according to claim 1, which is characterized in that institute
Stating image capture module includes the Internet images download module, camera shooting module and image pick-up card acquisition module, interconnection
Net image download module can carry out the downloading of associated picture from internet, and camera shooting module can take the photograph object
Shadow directly acquires image, and image pick-up card acquisition module can carry out the acquisition of image information using image pick-up card.
3. a kind of hidden image detection system based on deep learning model according to claim 1, which is characterized in that institute
Stating image analysis module includes picture position analysis module, image temporal analysis module and image size analysis module, image
Location analysis module can parse the location information of image, and image temporal analysis module can analyze the temporal information of image,
Specially which shooting or production, image size analysis module can analyze the size in space shared by image at time point.
4. a kind of hidden image detection system based on deep learning model according to claim 1, which is characterized in that institute
State CCD/CMOS sensing module and be electrically connected with filtering processing module and feedback module, due to CCD/CMOS sensing module into
Row image information is doped with a lot of other information datas during transmitting, and just needs to be filtered module at this time and carries out to it
Filtering filtering, and when the image information of CCD/CMOS sensing module discovery transmission is problematic, it can be transferred at the first time anti-
It presents module and carries out information feedback.
5. a kind of hidden image detection system based on deep learning model according to claim 1, which is characterized in that institute
It states central processing unit and is electrically connected with data safety detection module, the data safety detection module is electrically connected with remote maintenance
Module, data safety detection module can play the role of Data Detection to the operation of whole system, and when detection goes wrong
When, remote maintenance module can carry out security maintenance to whole system.
6. a kind of hidden image detection system based on deep learning model according to claim 1, which is characterized in that institute
It states central processing unit and is electrically connected with image classification module, described image categorization module is electrically connected with image classification memory,
Described image classification memory is electrically connected with image comparison module, and described image contrast module is electrically connected with repetition detection mould
Block, and detection module and image output module electric connection are repeated, image comparison module electrically connects with image information confirmation module
Connect, the information data that central processing unit receives is stored, but image information data is too many at this time, just need via
Image classification module carries out image classification, and image classification is transmitted to image classification memory after finishing and is stored, image letter
It ceases via the comparison of image comparison module and progress image information data after confirmation module confirmation message data finish, if through
By image information confirmation module confirmation after information data it is identical as the information data in image classification memory, just need via
Detection module is repeated to carry out repeating detection.
7. it is a kind of according to claim 1-6 the hidden image detection method based on deep learning model, which is characterized in that including
Following steps:
S1, image is carried out first with the Internet images download module, camera shooting module and image pick-up card acquisition module
Acquisition, Image Acquisition finish be transmitted to CCD/CMOS sensing module carry out data transmission process need in the process to it
It is filtered；
It needs to carry out target detection and compression of images to the image information data of transmission in S2, transmission process, to guarantee to transmit
Efficiency；
S3, after image information data is transmitted to central processing unit and is focused on, need by image output module into
The output of row image information data, output just need image analysis module to carry out the analysis of image information data, divide after finishing
Analysis includes position analysis, time analysis and the analysis of image size；
S4, analysis reprocess the concentration that image information data is transmitted to image processing module progress image after finishing, processing
The confirmation that image information confirmation module carries out image information is transmitted to after finishing.
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