CN108563967A - A kind of screenshot method and device - Google Patents
A kind of screenshot method and device Download PDFInfo
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- CN108563967A CN108563967A CN201810215115.0A CN201810215115A CN108563967A CN 108563967 A CN108563967 A CN 108563967A CN 201810215115 A CN201810215115 A CN 201810215115A CN 108563967 A CN108563967 A CN 108563967A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/70—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer
- G06F21/82—Protecting input, output or interconnection devices
- G06F21/84—Protecting input, output or interconnection devices output devices, e.g. displays or monitors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
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Abstract
An embodiment of the present invention provides a kind of screenshot method and device, this method includes:When detecting shot operation, the sectional drawing content in the raw image data that the shot operation is obtained is identified;If the sectional drawing content includes session window, it is determined that be directed to the processing mode of the raw image data;If the processing mode is handled for secret protection, secret protection processing is carried out to the target area residing for user information in the raw image data, obtains privacy image data;Show the privacy image data.The privacy information of user in automatic protection session window; the special image editing tools of enabling are avoided to be smeared manually; greatly reduce the efficiency of processing; single treatment is usually no more than 200 milliseconds, greatly reduces taking for processing, simultaneously; privacy processing routine strict implement; it avoids and handles excessive or very few situation, reduce the probability of error, improve the quality of processing.
Description
Technical field
The present invention relates to the technical fields of communication, more particularly to a kind of screenshot method and device.
Background technology
With the development of science and technology, the mobile terminals such as mobile phone, tablet computer, in the work of people, study, daily exchange
Etc. various aspects utilization rate it is also higher and higher.
In these mobile terminals, user often installs means of communication, is opened in the means of communication and other users
Session window is exchanged in the session window with other users.
In certain scenes, user can share away conversation recording when being communicated with other users in session window, side
Just other users understand the content in session, obtain relevant information.
When sharing, user is usually to share session window content, to protect privacy, can generally protect some privacies
Information.
For this purpose, user is to carry out screenshotss to session window, image data is preserved, special picture editting's work is then enabled
Tool smears the privacy information recorded in the image data, then image data of sharing that treated.
But this mode needs to carry out manually, spends the time long, and whole process spends 20 seconds or more, also, smeared
Measure or smear it is very few, be easy error, cause processing it is second-rate.
Invention content
The embodiment of the present invention proposes a kind of screenshot method and device, is believed with solving to smear the privacy in session window manually
Breath spends the problem that the time is long, processing is second-rate.
One side according to the present invention provides a kind of screenshot method, including:
When detecting shot operation, the sectional drawing content in the raw image data that the shot operation is obtained is identified;
If the sectional drawing content includes session window, it is determined that be directed to the processing mode of the raw image data;
If the processing mode is handled for secret protection, to the mesh residing for user information in the raw image data
It marks region and carries out secret protection processing, obtain privacy image data;
Show the privacy image data.
Optionally, further include:
If it is not that secret protection is handled that sectional drawing content, which does not include session window or the processing mode, display is described to cut
The raw image data that graphic operation is obtained.
Optionally, further include:
Operate interface is generated to the privacy image data;
When the operate interface is chosen, the corresponding image of the operate interface is executed to the privacy image data and is grasped
Make;
Wherein, described image operation includes following at least one:
Sharing operation, collection operation, delete operation, edit operation.
Optionally, the sectional drawing content in the raw image data that the identification shot operation is obtained, including:
The raw image data that the shot operation obtains is matched with preset session image template;
When the raw image data and session image template matches success, the sectional drawing of the shot operation is determined
Content includes session window.
Optionally, the user information includes following at least one:
Group's head portrait, group name, user's name, user's head portrait.
Optionally, described that the target area residing for user information is carried out at secret protection in the raw image data
Reason obtains privacy image data, including:
The target area residing for user information in the session window is identified in the raw image data;
Secret protection processing is carried out to the target area in the raw image data, obtains privacy image data.
Optionally, the target area identified in the raw image data in the session window residing for user information
Domain, including:
Target image is divided from the raw image data;
To target image demarcation of boundary region;
Candidate region is generated based on the borderline region;
The target area in the session window residing for user information is determined in the candidate region.
Optionally, described to divide target image from the raw image data, including:
Gray proces are carried out to the raw image data;
Binary conversion treatment is carried out to the raw image data after gray proces;
Foreground image is divided from the raw image data after binary conversion treatment, as target image.
Optionally, described to target image demarcation of boundary region, including:
Expansion processing is carried out to the target image in preset specified region;
Target image demarcation of boundary region after handling expansion.
Optionally, described that candidate region is generated based on the borderline region, including:
The maximum rectangle for calculating the external borderline region, as target area.
Optionally, the target area determined in the candidate region in the session window residing for user information,
Including:
Determine that the candidate region being located in preset specified region is the target in the session window residing for user's head portrait
Region;
And/or
Candidate region in the session window described in the regional search except the specified region residing for dialog box;
Search the target area residing for at least partly identical user's head portrait of ordinate and the candidate region residing for dialog box;
Diff N between the target area residing for user's head portrait and the candidate region residing for the dialog box
When value is more than preset threshold value, determine that the candidate region between user's head portrait and the dialog box is the conversation window
Target area in mouthful residing for user's name.
Optionally, the target area in the raw image data carries out secret protection processing, obtains hidden
Private image data, including:
The occlusion image for specifying size is smeared in the target area in the raw image data, obtains privacy image
Data.
According to another aspect of the present invention, a kind of sectional drawing device is provided, including:
Sectional drawing content identifier module, for when detecting shot operation, identifying that the shot operation is obtained original
Sectional drawing content in image data;
Processing mode determining module, if including session window for the sectional drawing content, it is determined that be directed to the original graph
As the processing mode of data;
Image procossing processing module, if being handled for secret protection for the processing mode, in the original image number
Secret protection processing is carried out to the target area residing for user information in, obtains privacy image data;
Privacy image data display module, for showing the privacy image data.
Optionally, further include:
Raw image data display module, if not being including session window or the processing mode for sectional drawing content
Secret protection is handled, then shows the raw image data that the shot operation is obtained.
Optionally, further include:
Operate interface generation module, for generating operate interface to the privacy image data;
Image operation executing module, for when the operate interface is chosen, institute to be executed to the privacy image data
State the corresponding image operation of operate interface;
Wherein, described image operation includes following at least one:
Sharing operation, collection operation, delete operation, edit operation.
Optionally, the sectional drawing content identifier module includes:
Images match submodule, the raw image data for obtaining the shot operation and preset session image mould
Plate is matched;
Session window determination sub-module, for when the raw image data and session image template matches success
When, determine that the sectional drawing content of the shot operation includes session window.
Optionally, the user information includes following at least one:
Group's head portrait, group name, user's name, user's head portrait.
Optionally, described image processing processing module includes:
Target area identifies submodule, for identifying user information in the session window in the raw image data
Residing target area;
Secret protection handles submodule, for carrying out secret protection to the target area in the raw image data
Processing obtains privacy image data.
Optionally, the target area identification submodule includes:
Target image division unit, for dividing target image from the raw image data;
Borderline region demarcates unit, for target image demarcation of boundary region;
Candidate region generation unit, for generating candidate region based on the borderline region;
Target area determination unit, for being determined in the candidate region in the session window residing for user information
Target area.
Optionally, the target image division unit includes:
Gray proces subelement, for carrying out gray proces to the raw image data;
Binary conversion treatment subelement, for carrying out binary conversion treatment to the raw image data after gray proces;
Foreground image divides subelement, for dividing foreground image from the raw image data after binary conversion treatment,
As target image.
Optionally, the borderline region calibration unit includes:
Expand processing subelement, for carrying out expansion processing to the target image in preset specified region;
Expand calibration subelement, for the target image demarcation of boundary region after handling expansion.
Optionally, the candidate region generation unit includes:
Boundary rectangle computation subunit, the maximum rectangle for calculating the external borderline region, as target area.
Optionally, the target area determination unit includes:
Head portrait region determination subelement, for determining that the candidate region being located in preset specified region is the conversation window
Target area in mouthful residing for user's head portrait;
And/or
Frame region determination subelement, for meeting in the session window described in the regional search except the specified region
Talk about the candidate region residing for frame;
Matching area searches subelement, for searching the target area residing for the identical user's head portrait of at least partly ordinate
With the candidate region residing for dialog box;
Name area determination subelement, for working as residing for target area and the dialog box residing for user's head portrait
When ordinate difference between candidate region is more than preset threshold value, determine between user's head portrait and the dialog box
Candidate region be target area in the session window residing for user's name.
Optionally, the secret protection processing submodule includes:
Occlusion image applicator unit smears for the target area in the raw image data and specifies size
Occlusion image obtains privacy image data.
The embodiment of the present invention includes following advantages:
In embodiments of the present invention, when detecting shot operation, the corresponding sectional drawing content of detection shot operation, if sectional drawing
Content includes session window, it is determined that for the processing mode for the raw image data that shot operation obtains, if the processing mode
It is handled for secret protection, then secret protection processing is carried out to the target area of user information in raw image data, obtained hidden
Private image data, and show privacy image data, the privacy information of user, avoids enabling special in automatic protection session window
The image editing tools of door are smeared manually, greatly reduce the efficiency of processing, and single treatment is usually no more than 200 milliseconds,
Taking for processing is greatly reduced, meanwhile, privacy processing routine strict implement avoids and handles excessive or very few situation, subtracts
The probability for having lacked error, improves the quality of processing, also, directly replaced to raw image data in screenshotss, no
User is influenced normally to browse.
Description of the drawings
Fig. 1 is a kind of step flow chart of screenshot method of one embodiment of the invention;
Fig. 2 is the step flow chart of another screenshot method of one embodiment of the invention;
Fig. 3 A to Fig. 3 H are a kind of exemplary plots carrying out sectional drawing in mobile terminal of one embodiment of the invention;
Fig. 4 is a kind of structure diagram of sectional drawing device of one embodiment of the invention.
Specific implementation mode
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is described in further detail.
Referring to Fig.1, the step flow chart for showing a kind of screenshot method of one embodiment of the invention, can specifically include
Following steps:
Step 101, when detecting shot operation, cutting in the raw image data that the shot operation is obtained is identified
Figure content.
In the concrete realization, the embodiment of the present invention can be applied in mobile terminal, for example, mobile phone, tablet computer, intelligence
Wearable device (such as smartwatch, intelligent glasses), can also apply in immobile terminal, for example, PC, intelligence
TV, etc., the embodiment of the present invention do not limit this.
These mobile terminals, immobile terminal operating system may include Android (Android), IOS, Windows
Phone, etc., usually can with the application of support communications, for example, immediate communication tool, mailbox client, microblogging application,
Forum's application etc..
User can start session window in such applications, conversate with good friend, stranger, group user etc., shape
At conversation recording.
At this point, user can form raw image data by shot operation (including screenshotss operate) to the session window.
Furthermore, it in these mobile terminals, immobile terminal, can be monitored by following at least one mode
Shot operation:
1, listening broadcast
Monitor is registered to shot operation in an operating system, monitors the broadcast sent when shot operation.
2, physical button is monitored
In the terminal, physics key combination is supported quickly to execute shot operation mostly, for example, pressing power key simultaneously
Shot operation is executed with volume down key, the monitoring of shot operation may be implemented in the combination for monitoring physical button.
3, the variation of image data is monitored
In android system, there are one media databases, often take a picture, or intercept a figure using system screenshotss
Its details can be all added to media database, and send out content change notification by piece, therefore, content can be utilized to observe
Person (ContentObserver) monitors the variation of media database, when database changes, obtains a figure being finally inserted
As data, if the image data meets specific rule, then it is assumed that perform shot operation.
By taking screenshotss operate as an example, which includes following one or more:
3.1, time rule
The generated time of image data is separated by threshold value (such as 10) in the second after beginning listening for, and with current time.
3.2, size rule
The size of image data is not above the size of screen, if it is sliding screenshotss, the then width or length of image data
Degree is not above the width or length of screen.
3.3, path judges
The path of image data meets comprising specific keyword, such as " screenshot ".
Certainly, the mode of above-mentioned monitoring shot operation is intended only as example, can basis when implementing the embodiment of the present invention
Other modes for monitoring shot operation are arranged in actual conditions, and the embodiment of the present invention does not limit this.In addition, in addition to above-mentioned prison
It listens outside the mode of shot operation, those skilled in the art can also use other sides for monitoring shot operation according to actual needs
Formula, the embodiment of the present invention also do not limit this.
If listening to user performs shot operation, when can detect the corresponding sectional drawing content, i.e. sectional drawing of shot operation
Interface content.
In one embodiment of the invention, step 101 may include following sub-step:
Sub-step S11, the raw image data that the shot operation is obtained and the progress of preset session image template
Match.
Sub-step S12 determines the sectional drawing when the raw image data and session image template matches success
The sectional drawing content of operation includes session window.
In embodiments of the present invention, exist using the UI (User Interface, user interface) designed for session window
It is metastable in a period of time, therefore, the image data with feature in the UI for the session window that different application can be directed to
It is set as session image template, storage is in the database.
If detecting shot operation, the raw image data of shot operation acquisition can be obtained, picture similarity is passed through
Etc. modes the raw image data is matched with the session image template of specific application, or one by one with session image template
It is matched.
Furthermore, can extract the characteristic information of raw image data and the characteristic information in session image template into
The calculating of row similarity.
Wherein, characteristic information may include at least one of shape feature information and color characteristic information;Shape feature
Information can refer to the information of characterization image style characteristic, and color characteristic information can refer to the information of characterization image color characteristics.
There are two main classes for the representation method of shape feature information, and one kind is provincial characteristics, mainly for the entire of image
Shape area;Another kind of is contour feature, is directed to the outer boundary of object.
The typical method for extracting shape feature information includes boundary characteristic value method (outer boundary of image), geometry parameter method
(Fourier becomes for (image geometry parameterized treatment), shape invariance moments method (looking for Image Moment Invariants feature), Fourier's shape description method
Change method) etc..
Color characteristic information can be described by the color characteristic of image or image-region, it has globality.
The typical method for extracting color characteristic information includes color histogram, color set, color moment etc..
Certainly, features described above information is intended only as example, when implementing the embodiment of the present invention, can be set according to actual conditions
Other characteristic informations are set, the embodiment of the present invention does not limit this.
If the similarity between raw image data and session image template is higher than preset threshold value, it may be considered that the two
Between successful match, determine that the sectional drawing content of shot operation includes session window.
Other than the above-mentioned matched mode with the progress of session image template, those skilled in the art can also be according to practical need
It will be by the way of other detection sectional drawing contents, for example, the application belonging to operating system top layer window is detected, if the application is
The application of session window can be loaded, it is determined that sectional drawing content includes session window, etc., and the embodiment of the present invention is not also subject to this
Limitation.
Step 102, if the sectional drawing content includes session window, it is determined that be directed to the processing side of the raw image data
Formula.
If it have been confirmed that sectional drawing content includes session window, user information is contained in the session window so that sectional drawing obtains
The raw image data obtained also contains user information.
Wherein, user information includes following at least one:
Group's head portrait, group name, user's name, user's head portrait.
Certainly, above-mentioned user information is intended only as example, when implementing the embodiment of the present invention, can be set according to actual conditions
Other users information is set, the embodiment of the present invention does not limit this.In addition, other than above-mentioned user information, art technology
Personnel can also use other user informations, the embodiment of the present invention also not to limit this according to actual needs.
These user informations are privacy information, and user may share away raw image data, therefore, can be on boundary
Face generates prompt message, the processing mode of the inquiry user raw image data, such as directly displays, secret protection processing, etc..
After user has browsed prompt message, required processing mode is selected by modes such as clicks.
Certainly, user can also include the processing side of the raw image data setting acquiescence of session window to sectional drawing content
Formula, the embodiment of the present invention do not limit this.
Step 103, if the processing mode is handled for secret protection, to user information in the raw image data
Residing target area carries out secret protection processing, obtains privacy image data.
If user has selected secret protection processing, target that can be in raw image data residing for recognition user information
Region carries out secret protection processing to it, and the image data after handling is privacy image data.
In one embodiment of the invention, step 102 may include following sub-step:
Sub-step S21 identifies the target area residing for user information in the session window in the raw image data
Domain.
In the concrete realization, the user information in session window has certain feature (such as area, position, shape),
It, can be from the user information identified in raw image data in session window by these features.
For example, in the session window of some application, user's head portrait of user itself is located at right side, and user's name is located at
On the left of user's head portrait, user's head portrait of other users is located at left side, and user's name is located on the right side of user's head portrait.
In another example in the session window of some application, conversate with single user, user's head portrait of the user is used
Name in an account book such as claims to conversate in group in the top of session window at the presentation of information, group's head portrait of the group, group name etc.
Presentation of information is in the top of session window.
In another example in the session window of some application, the shape of user's head portrait is square or circle.
In one embodiment of the invention, sub-step S21 can further include following sub-step:
Sub-step S211 divides target image from the raw image data.
In session window, the user information of more privacy is often concerned, such as group's head portrait, group name, user
Therefore title, user's head portrait etc. can detach raw image data, by the target image comprising user information from
It is extracted in the scene of session window so that subsequent processing can concentrate the target image considered where user information.
In one embodiment of the invention, sub-step S211 can further include following sub-step:
Sub-step S2111 carries out gray proces to the raw image data.
For given raw image data I (x, y)color, including the pixel of RGB triple channel be expressed as I (x,
y)red, I (x, y)green, I (x, y)blue。
Wherein, x, y respectively represent the index position of abscissa and ordinate in image, by following formula to original image
Data carry out gray proces:
I (x, y)gray=0.299I (x, y)red+ I (x, y)green+ I (x, y)blue
Wherein, I (x, y)grayFor the raw image data after gray proces.
Sub-step S2112 carries out binary conversion treatment to the raw image data after gray proces.
Gray proces are carried out, raw image data is converted into greyscale image data from color image data, later, are carried out
Raw image data is converted to two-value (such as 0,1) image data by binary conversion treatment from greyscale image data.
By taking maximum variance between clusters as an example, maximum variance between clusters are a kind of methods that adaptive threshold value determines, by figure
As the gamma characteristic of data, image data is divided into background image and foreground image (i.e. target).
Inter-class variance between background image and foreground image is bigger, illustrates that the two-part difference for constituting image data is got over
Greatly, when part, foreground image mistake is divided into background image or part background image mistake is divided into foreground image and can all lead to two parts difference
Become smaller.Therefore, the maximum segmentation of inter-class variance is made to mean misclassification probability minimum.
In this example, for the raw image data I (x, y) after gray procesgray, foreground image and and Background
The segmentation threshold of picture is denoted as T, and the pixel number for belonging to foreground image accounts for whole picture raw image data I (x, y)grayRatio be denoted as
ω0, average gray μ0, the pixel number for belonging to background image accounts for whole picture raw image data I (x, y)grayRatio be ω1,
Its average gray is μ1.Raw image data I (x, y)grayOverall average gray scale be denoted as μ, inter-class variance is denoted as g.
Assuming that raw image data I (x, y)grayBackground it is dark, and raw image data I (x, y)graySize be M
× N, raw image data I (x, y)grayNumber of pixels of the middle gray value less than threshold value T is denoted as N0, pixel grey scale is more than threshold value T's
Number of pixels is denoted as N1, then has following condition:
ω0=N0/M×N
ω1=N1/M×N
N0+N1=M × N
ω0+ω1=1
μ=ω0*μ0+ω1*μ1
G=ω0(μ0-μ)2+ω1(μ1-μ)2
In conjunction with above-mentioned condition, equivalence formula is obtained:G=ω0ω1(μ0-μ1)2
It obtains making the maximum threshold value T of inter-class variance using the method for traversal, foreground image and the back of the body is done using maximum threshold value T
The segmentation of scape image, it then follows following binary segmentation:
If I (xi, yi) > T, then I (xi, yi)binary=1
If I (xi, yi) < T, then I (xi, yi)binary=0
Wherein, I (xi, yi)binaryFor the raw image data after binaryzation, I (xi, yi) it is ith pixel point.
Sub-step S2113 divides foreground image from the raw image data after binary conversion treatment, as target figure
Picture.
After having carried out binary conversion treatment, then it can identify which region is foreground image from raw image data
(as being worth the pixel for 0), that is, include the target image of user information.
Certainly, the mode of above-mentioned division target image is intended only as example, can basis when implementing the embodiment of the present invention
Other modes for dividing target image are arranged in actual conditions, for example, after the contrast of enhancing raw image data, using Gauss
For foreground image in model extraction raw image data as target image, etc., the embodiment of the present invention does not limit this.
In addition, other than the mode of above-mentioned division target image, those skilled in the art can also use other strokes according to actual needs
The mode of subhead logo image, the embodiment of the present invention also do not limit this.
Sub-step S212, to target image demarcation of boundary region.
In the concrete realization, for the determination of borderline region, then outer boundary, hole boundary and its hierarchical relationship are to determine, by
There is one-to-one relationship in the region of these borderline regions and raw image data, for example, in binary image, outer boundary
The connected region that respective pixel value is 1, it is 0 connected region that hole edge bound pair, which answers pixel value,.
Therefore, original image can be indicated and divided with borderline region, constantly traversed entire raw image data, then may be used
To calibrate the borderline region of user information in raw image data.
In one example, to being located in preset specified region (such as range of left and right side edge certain distance)
Target image carries out expansion processing, the target image demarcation of boundary region after handling expansion.
In this example, the user informations such as user's head portrait are usually located at preset specified region, inside there are more
Therefore hole specifies the target image in region to carry out expansion processing this so that target image becomes an entirety, convenient
Carry out subsequent processing.
Wherein, expand processing operation to need to set augmented operator D, by augmented operator D and binary image data I (xi,
yi)binaryIt is I (x to do merging treatment and obtain the bianry image after having handledi, yi)binary‘。
Certainly, it is not pending privacy for the user informations such as user's name or dialog box, conversation recording, time etc.
The user information of protection, then can direct demarcation of boundary region.
Sub-step S213 generates candidate region based on the borderline region.
To having demarcated the target image of borderline region, the target area of specification can be generated to it.
In one example, the maximum rectangle that external borderline region can be calculated, as target area.
Certainly, than a rectangle, other figures can also be generated, for example, ellipse, round, star, etc., this hair
Bright embodiment does not limit this.
Sub-step S214 determines the target area in the session window residing for user information in the candidate region.
The target image identified in raw image data, other than required user information, it is also possible to include other
Therefore information, such as dialog box, conversation recording, time can further identify pending secret protection from candidate region
User information residing for target area.
In one example, if the user information of pending secret protection is user's head portrait, it is determined that be located at preset finger
The candidate region in region (such as the range of left and right side edge certain distance) is determined for residing for user's head portrait in session window
Target area.
In another example, if the user information of pending secret protection is user's name, in some cases, the use
Name in an account book claims to be shown, in some cases, which will not be shown.
Therefore, when identifying user's name, in the session window described in the regional search except the specified region
Candidate region residing for dialog box, wherein dialog box is to carry the frame of conversation recording.
In this example, it may be the region residing for user's name to be located at candidate image except specified region, it is also possible to be
Region residing for dialog box, conversation recording, time etc..
The height of the information such as user's name, conversation recording, time, area are same or similar, it is more difficult to it distinguishes, and dialog box is held
Conversation recording is carried, the parameters such as height, area are all higher than the information such as user's name, conversation recording, time, are easier to distinguish, also,
Relative position between user's name and dialog box, user's head portrait is relatively fixed, therefore, by comparing the parameters such as height, area,
The dialog box in session window can be found out, to identify user's name.
In order to indicate certain conversation recording be some user send, the conversation recording together with dialog box usually with the user
The adjacent display of user's head portrait, therefore, can search target area residing for the identical user's head portrait of at least partly ordinate with
Candidate region residing for dialog box, and calculate the target area residing for user's head portrait (can be subject to top) and dialog box institute
It is ordinate difference between the candidate region (can be subject to top) at place.
When the ordinate difference between the target area residing for user's head portrait and the candidate region residing for dialog box is more than in advance
If threshold value when, determine that candidate region positioned at user's head portrait and dialog box between is the mesh residing for user's name in session window
Mark region.
Be less than when the ordinate difference between the target area residing for user's head portrait and the candidate region residing for dialog box or
When equal to preset threshold value, determines and do not show user's name in session window.
Certainly, the mode of above-mentioned recognition user information is intended only as example, can basis when implementing the embodiment of the present invention
The mode of other recognition user informations is arranged in actual conditions, for example, by the time in another specified region at the top of session window
Favored area is identified as the target area, etc. residing for user's name or group name, and the embodiment of the present invention does not limit this.
In addition, other than the mode of above-mentioned recognition user information, those skilled in the art can also use other knowledges according to actual needs
The mode of other user information, the embodiment of the present invention also do not limit this.
Sub-step S22 carries out secret protection processing in the raw image data to the target area, obtains privacy
Image data.
It, can be in the raw image data, to the target area if having identified the target area residing for user information
Domain carries out secret protection processing so that can not understand and differentiate the user information, to user of the protection in the target area
Information, hereafter, user can share the raw image data elsewhere, without revealing user information therein.
In the example of secret protection processing, the target area in raw image data, which is smeared, specifies size
Occlusion image (such as red image, mosaic), obtain privacy image data.
In this example, the user information of same type uses the occlusion image of same size, different types of user's letter
The occlusion image size that breath uses can be identical, can not also be identical.
For example, the occlusion image for smearing user's head portrait is square, the occlusion image for smearing user's name is rectangle, etc.
Deng.
If user information shielded part in session window, occlusion image can be adjusted according to the region of masking
Size so that occlusion image is not applied to the region of masking.
For example, user's head portrait may cover upper part and expose lower part when the top of session window removes, this
When, part below exposing can be smeared with the size of occlusion image.
Alternatively, user's head portrait may cover lower part and expose upper part when the bottom of session window moves into, this
When, the upper surface of exposing part can be smeared with the size of occlusion image.
Certainly, other than smearing the occlusion image for specifying size, other secret protections can also be used to handle, for example,
Cover other occlusion images (cartoon image such as is covered to user's head portrait), hollow out processing, etc., the embodiment of the present invention is not added with this
With limitation.
Step 104, the privacy image data is shown.
User information is concealed in privacy image data, then can be shown to user, waits for that user carries out other processing.
In embodiments of the present invention, when detecting shot operation, the corresponding sectional drawing content of detection shot operation, if sectional drawing
Content includes session window, it is determined that for the processing mode for the raw image data that shot operation obtains, if the processing mode
It is handled for secret protection, then secret protection processing is carried out to the target area of user information in raw image data, obtained hidden
Private image data, and show privacy image data, the privacy information of user, avoids enabling special in automatic protection session window
The image editing tools of door are smeared manually, greatly reduce the efficiency of processing, and single treatment is usually no more than 200 milliseconds,
Taking for processing is greatly reduced, meanwhile, privacy processing routine strict implement avoids and handles excessive or very few situation, subtracts
The probability for having lacked error, improves the quality of processing, also, directly replaced to raw image data in screenshotss, no
User is influenced normally to browse.
With reference to Fig. 2, shows the step flow chart of another screenshot method of one embodiment of the invention, can specifically wrap
Include following steps:
Step 201, when detecting shot operation, cutting in the raw image data that the shot operation is obtained is identified
Figure content.
Step 202, if sectional drawing content does not include session window, the original image number that the shot operation is obtained is shown
According to.
If detecting that the corresponding sectional drawing of shot operation is not session window, such as webpage, commodity to this, do not include generally
Privacy information can then directly display the raw image data that the shot operation is obtained, and wait for that user carries out other processing.
Step 203, if the sectional drawing content includes session window, it is determined that be directed to the processing side of the raw image data
Formula.
Step 204, it is handled if the processing mode is not secret protection, shows that the shot operation is obtained original
Image data.
If the processing mode that user selects is not handled for secret protection, the shot operation can be directly displayed and obtained
The raw image data obtained, waits for that user carries out other processing.
Step 205, if the processing mode is handled for secret protection, to user information in the raw image data
Residing target area carries out secret protection processing, obtains privacy image data.
Step 206, the privacy image data is shown.
Step 207, operate interface is generated to the privacy image data.
Step 208, when the operate interface is chosen, the operate interface is executed to the privacy image data and is corresponded to
Image operation.
In embodiments of the present invention, user has browsed privacy image data, can be generated in the lower section of privacy image data
For the operate interface of the privacy image data.
User can click some operate interface therein as required, select the operate interface, to privacy image
Data execute the corresponding image operation of chosen operate interface.
In the concrete realization, image operation includes following at least one:
Sharing operation, collection operation, delete operation, edit operation.
Wherein, sharing operation can refer to the interface for calling other application, which is shared to the application.
Collection operation, which can refer to, collects the privacy image data to the specific position of picture library.
Delete operation, which can refer to, deletes the privacy image data.
Edit operation can refer to the privacy image data is rotated, is trimmed, filter, the additional Editorial Services such as virtualization
Reason.
Certainly, above-mentioned image operation is intended only as example, when implementing the embodiment of the present invention, can be set according to actual conditions
The operation of other images is set, for example, playing lantern slides, printing, renaming, rotating, being shown on map, etc., the present invention is implemented
Example does not limit this.In addition, other than above-mentioned image operates, those skilled in the art can also use according to actual needs
Other image operations, the embodiment of the present invention also do not limit this.
To make those skilled in the art more fully understand the embodiment of the present invention, illustrate this hair below by way of specific example
Screenshot method in bright embodiment.
As shown in Figure 3A, this sample application in the terminal, monitors shot operation, it is assumed that user is in immediate communication tool
A group in conversate and sectional drawing.
At this point, mobile terminal listens to shot operation, then the raw image data of sectional drawing acquisition is obtained, detects original image
Whether include session window in data.
If the raw image data includes session window, as shown in Figure 3B, prompt message can be generated, user is prompted to cut
Include privacy information in figure, if secret protection processing is carried out to raw image data.
If user clicks "No", secret protection processing is not carried out to the raw image data, directly display the original graph
As data.
If user clicks "Yes", secret protection processing is carried out to the raw image data.
As shown in Figure 3 C, the raw image data that sectional drawing obtains is color image data (not shown), to original graph
As data progress gray proces, color image data is converted into greyscale image data.
As shown in Figure 3D, binary conversion treatment is carried out to the raw image data after gray proces, detaches foreground image (mesh
Logo image) and background image.
Wherein, in foreground image (target image) in addition to containing user's head portrait, user's name waits for secret protection
User information except, further comprise the user information without secret protection such as dialog box, conversation recording.
As shown in FIGURE 3 E, the foreground image (target image) positioned at specified region can then be carried out such as user's head portrait
Expand to handle and demarcate its borderline region and its borderline region then can be demarcated directly for other foreground images (target image).
As illustrated in Figure 3 F, maximum boundary rectangle is calculated to borderline region, as candidate region.
The target area residing for user's head portrait, traversal height, area etc. will be set as positioned at the candidate region in specified region
The maximum candidate region of parameter is the region where dialog box, searches at least partly identical user's head portrait (candidate regions of ordinate
Domain) it will be located at user's head portrait if position difference is more than preset threshold value between the two with dialog box (candidate region) and (wait
Favored area) with dialog box (candidate region), between candidate image be set as user's name.
Set another designated position at the top of session window to the target area where group name.
As shown in Figure 3 G, the target area is positioned in raw image data (being not shown in figure colour), to the target area
The occlusion image for specifying size is smeared in domain, to obtain privacy image data.
Wherein, user's head portrait of the top prepares to remove session window, is blinded by upper part, exposes lower part, because
This, can change the size of occlusion image, cover part below exposing, without handling the upper surface of masking part.
As shown in figure 3h, display privacy image data is to user.
Operate interface, including sharing operation, collection operation, delete operation, edit operation are generated to privacy image data, when
When user clicks more options, display playing lantern slides printing, renaming, rotate, are shown in the first-class operate interface of map,
It is selected for user.
It should be noted that for embodiment of the method, for simple description, therefore it is all expressed as a series of action group
It closes, but those skilled in the art should understand that, the embodiment of the present invention is not limited by the described action sequence, because according to
According to the embodiment of the present invention, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art also should
Know, embodiment described in this description belongs to preferred embodiment, and the involved action not necessarily present invention is implemented
Necessary to example.
With reference to Fig. 4, show a kind of structure diagram of sectional drawing device of one embodiment of the invention, can specifically include as
Lower module:
Sectional drawing content identifier module 401, the original obtained for when detecting shot operation, identifying the shot operation
Sectional drawing content in beginning image data;
Processing mode determining module 402, if including session window for the sectional drawing content, it is determined that for described original
The processing mode of image data;
Image procossing processing module 403, if being handled for secret protection for the processing mode, in the original image
Secret protection processing is carried out to the target area residing for user information in data, obtains privacy image data;
Privacy image data display module 404, for showing the privacy image data.
In one embodiment of the invention, further include:
Raw image data display module, if not being including session window or the processing mode for sectional drawing content
Secret protection is handled, then shows the raw image data that the shot operation is obtained.
In one embodiment of the invention, further include:
Operate interface generation module, for generating operate interface to the privacy image data;
Image operation executing module, for when the operate interface is chosen, institute to be executed to the privacy image data
State the corresponding image operation of operate interface;
Wherein, described image operation includes following at least one:
Sharing operation, collection operation, delete operation, edit operation.
In one embodiment of the invention, the sectional drawing content identifier module 401 includes:
Images match submodule, the raw image data for obtaining the shot operation and preset session image mould
Plate is matched;
Session window determination sub-module, for when the raw image data and session image template matches success
When, determine that the sectional drawing content of the shot operation includes session window.
In the concrete realization, the user information includes following at least one:
Group's head portrait, group name, user's name, user's head portrait.
In one embodiment of the invention, described image processing processing module 403 includes:
Target area identifies submodule, for identifying user information in the session window in the raw image data
Residing target area;
Secret protection handles submodule, for carrying out secret protection to the target area in the raw image data
Processing obtains privacy image data.
In one embodiment of the invention, the target area identification submodule includes:
Target image division unit, for dividing target image from the raw image data;
Borderline region demarcates unit, for target image demarcation of boundary region;
Candidate region generation unit, for generating candidate region based on the borderline region;
Target area determination unit, for being determined in the candidate region in the session window residing for user information
Target area.
In an example of the embodiment of the present invention, the target image division unit includes:
Gray proces subelement, for carrying out gray proces to the raw image data;
Binary conversion treatment subelement, for carrying out binary conversion treatment to the raw image data after gray proces;
Foreground image divides subelement, for dividing foreground image from the raw image data after binary conversion treatment,
As target image.
In an example of the embodiment of the present invention, the borderline region calibration unit includes:
Expand processing subelement, for carrying out expansion processing to the target image in preset specified region;
Expand calibration subelement, for the target image demarcation of boundary region after handling expansion.
In an example of the embodiment of the present invention, the candidate region generation unit includes:
Boundary rectangle computation subunit, the maximum rectangle for calculating the external borderline region, as target area.
In an example of the embodiment of the present invention, the target area determination unit includes:
Head portrait region determination subelement, for determining that the candidate region being located in preset specified region is the conversation window
Target area in mouthful residing for user's head portrait;
And/or
Frame region determination subelement, for meeting in the session window described in the regional search except the specified region
Talk about the candidate region residing for frame;
Matching area searches subelement, for searching the target area residing for the identical user's head portrait of at least partly ordinate
With the candidate region residing for dialog box;
Name area determination subelement, for working as residing for target area and the dialog box residing for user's head portrait
When ordinate difference between candidate region is more than preset threshold value, determine between user's head portrait and the dialog box
Candidate region be target area in the session window residing for user's name.
In an example of the embodiment of the present invention, the secret protection processing submodule includes:
Occlusion image applicator unit smears for the target area in the raw image data and specifies size
Occlusion image obtains privacy image data.
For device embodiments, since it is basically similar to the method embodiment, so fairly simple, the correlation of description
Place illustrates referring to the part of embodiment of the method.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiment, the same or similar parts between the embodiments can be referred to each other.
It should be understood by those skilled in the art that, the embodiment of the embodiment of the present invention can be provided as method, apparatus or calculate
Machine program product.Therefore, the embodiment of the present invention can be used complete hardware embodiment, complete software embodiment or combine software and
The form of the embodiment of hardware aspect.Moreover, the embodiment of the present invention can be used one or more wherein include computer can
With in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of program code
The form of the computer program product of implementation.
The embodiment of the present invention be with reference to according to the method for the embodiment of the present invention, terminal device (system) and computer program
The flowchart and/or the block diagram of product describes.It should be understood that flowchart and/or the block diagram can be realized by computer program instructions
In each flow and/or block and flowchart and/or the block diagram in flow and/or box combination.These can be provided
Computer program instructions are set to all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminals
Standby processor is to generate a machine so that is held by the processor of computer or other programmable data processing terminal equipments
Capable instruction generates for realizing in one flow of flow chart or multiple flows and/or one box of block diagram or multiple boxes
The device of specified function.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing terminal equipments
In computer-readable memory operate in a specific manner so that instruction stored in the computer readable memory generates packet
The manufacture of command device is included, which realizes in one flow of flow chart or multiple flows and/or one side of block diagram
The function of being specified in frame or multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing terminal equipments so that
Series of operation steps are executed on computer or other programmable terminal equipments to generate computer implemented processing, thus
The instruction executed on computer or other programmable terminal equipments is provided for realizing in one flow of flow chart or multiple flows
And/or in one box of block diagram or multiple boxes specify function the step of.
Although the preferred embodiment of the embodiment of the present invention has been described, once a person skilled in the art knows bases
This creative concept, then additional changes and modifications can be made to these embodiments.So the following claims are intended to be interpreted as
Including preferred embodiment and fall into all change and modification of range of embodiment of the invention.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that process, method, article or terminal device including a series of elements not only wrap
Those elements are included, but also include other elements that are not explicitly listed, or further include for this process, method, article
Or the element that terminal device is intrinsic.In the absence of more restrictions, being wanted by what sentence "including a ..." limited
Element, it is not excluded that there is also other identical elements in process, method, article or the terminal device including the element.
Above to a kind of screenshot method provided by the present invention and a kind of sectional drawing device, it is described in detail, herein
Applying specific case, principle and implementation of the present invention are described, and the explanation of above example is only intended to help
Understand the method and its core concept of the present invention;Meanwhile for those of ordinary skill in the art, according to the thought of the present invention,
There will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as to this
The limitation of invention.
Claims (10)
1. a kind of screenshot method, which is characterized in that including:
When detecting shot operation, the sectional drawing content in the raw image data that the shot operation is obtained is identified;
If the sectional drawing content includes session window, it is determined that be directed to the processing mode of the raw image data;
If the processing mode is handled for secret protection, to the target area residing for user information in the raw image data
Domain carries out secret protection processing, obtains privacy image data;
Show the privacy image data.
2. according to the method described in claim 1, it is characterized in that, further including:
If it is not that secret protection is handled that sectional drawing content, which does not include session window or the processing mode, the sectional drawing behaviour is shown
Make obtained raw image data.
3. according to the method described in claim 1, it is characterized in that, further including:
Operate interface is generated to the privacy image data;
When the operate interface is chosen, the corresponding image of the operate interface is executed to the privacy image data and is operated;
Wherein, described image operation includes following at least one:
Sharing operation, collection operation, delete operation, edit operation.
4. method according to claim 1 or 2 or 3, which is characterized in that the original that the identification shot operation is obtained
Sectional drawing content in beginning image data, including:
The raw image data that the shot operation obtains is matched with preset session image template;
When the raw image data and session image template matches success, the sectional drawing content of the shot operation is determined
Including session window.
5. method according to claim 1 or 2 or 3, which is characterized in that it is described in the raw image data to user
Target area residing for information carries out secret protection processing, obtains privacy image data, including:
The target area residing for user information in the session window is identified in the raw image data;
Secret protection processing is carried out to the target area in the raw image data, obtains privacy image data.
6. according to the method described in claim 5, it is characterized in that, described identify the session in the raw image data
Target area in window residing for user information, including:
Target image is divided from the raw image data;
To target image demarcation of boundary region;
Candidate region is generated based on the borderline region;
The target area in the session window residing for user information is determined in the candidate region.
7. according to the method described in claim 6, it is characterized in that, described divide target figure from the raw image data
Picture, including:
Gray proces are carried out to the raw image data;
Binary conversion treatment is carried out to the raw image data after gray proces;
Foreground image is divided from the raw image data after binary conversion treatment, as target image.
8. according to the method described in claim 6, it is characterized in that, described to target image demarcation of boundary region, including:
Expansion processing is carried out to the target image in preset specified region;
Target image demarcation of boundary region after handling expansion.
9. the method according to the description of claim 7 is characterized in that described determine the session window in the candidate region
Target area residing for middle user information, including:
Determine that the candidate region being located in preset specified region is the target area in the session window residing for user's head portrait;
And/or
Candidate region in the session window described in the regional search except the specified region residing for dialog box;
Search the target area residing for at least partly identical user's head portrait of ordinate and the candidate region residing for dialog box;
When the ordinate difference between the target area residing for user's head portrait and the candidate region residing for the dialog box is big
When preset threshold value, determine that the candidate region between user's head portrait and the dialog box is in the session window
Target area residing for user's name.
10. a kind of sectional drawing device, which is characterized in that including:
Sectional drawing content identifier module, the original image obtained for when detecting shot operation, identifying the shot operation
Sectional drawing content in data;
Processing mode determining module, if including session window for the sectional drawing content, it is determined that be directed to the original image number
According to processing mode;
Image procossing processing module, if being handled for secret protection for the processing mode, in the raw image data
Secret protection processing is carried out to the target area residing for user information, obtains privacy image data;
Privacy image data display module, for showing the privacy image data.
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Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109753211A (en) * | 2019-01-11 | 2019-05-14 | 上海优扬新媒信息技术有限公司 | A kind of screenshot method and device |
WO2019174606A1 (en) * | 2018-03-15 | 2019-09-19 | 青岛海信移动通信技术股份有限公司 | Image processing method and terminal |
CN110262735A (en) * | 2019-06-17 | 2019-09-20 | 深圳传音控股股份有限公司 | The processing method and mobile terminal of screenshot |
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CN112783407A (en) * | 2021-01-27 | 2021-05-11 | 维沃移动通信有限公司 | Screenshot method and device |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104036272A (en) * | 2014-06-24 | 2014-09-10 | 联想(北京)有限公司 | Text detection method and electronic device |
CN106250901A (en) * | 2016-03-14 | 2016-12-21 | 上海创和亿电子科技发展有限公司 | A kind of digit recognition method based on image feature information |
CN106530346A (en) * | 2016-11-17 | 2017-03-22 | 山东省林业科学研究院 | Cupressaceae plant crown image analysis method |
CN106775333A (en) * | 2017-02-16 | 2017-05-31 | 深圳市茁壮网络股份有限公司 | A kind of screenshotss method and device |
CN107133967A (en) * | 2017-05-05 | 2017-09-05 | 杭州远舟医疗科技有限公司 | Extract the method and device of target image |
CN107145800A (en) * | 2017-05-31 | 2017-09-08 | 北京小米移动软件有限公司 | Method for protecting privacy and device, terminal and storage medium |
-
2018
- 2018-03-15 CN CN201810215115.0A patent/CN108563967A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104036272A (en) * | 2014-06-24 | 2014-09-10 | 联想(北京)有限公司 | Text detection method and electronic device |
CN106250901A (en) * | 2016-03-14 | 2016-12-21 | 上海创和亿电子科技发展有限公司 | A kind of digit recognition method based on image feature information |
CN106530346A (en) * | 2016-11-17 | 2017-03-22 | 山东省林业科学研究院 | Cupressaceae plant crown image analysis method |
CN106775333A (en) * | 2017-02-16 | 2017-05-31 | 深圳市茁壮网络股份有限公司 | A kind of screenshotss method and device |
CN107133967A (en) * | 2017-05-05 | 2017-09-05 | 杭州远舟医疗科技有限公司 | Extract the method and device of target image |
CN107145800A (en) * | 2017-05-31 | 2017-09-08 | 北京小米移动软件有限公司 | Method for protecting privacy and device, terminal and storage medium |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019174606A1 (en) * | 2018-03-15 | 2019-09-19 | 青岛海信移动通信技术股份有限公司 | Image processing method and terminal |
CN109753211A (en) * | 2019-01-11 | 2019-05-14 | 上海优扬新媒信息技术有限公司 | A kind of screenshot method and device |
CN110262735A (en) * | 2019-06-17 | 2019-09-20 | 深圳传音控股股份有限公司 | The processing method and mobile terminal of screenshot |
CN112784293A (en) * | 2019-11-08 | 2021-05-11 | 游戏橘子数位科技股份有限公司 | Recording notification method for picture capture |
CN112784293B (en) * | 2019-11-08 | 2024-06-04 | 游戏橘子数位科技股份有限公司 | Method for recording notice of picture acquisition |
CN112905367A (en) * | 2019-11-19 | 2021-06-04 | 上海西门子医疗器械有限公司 | Equipment exception handling method and device and storage medium |
CN112040145B (en) * | 2020-08-28 | 2023-04-07 | 维沃移动通信有限公司 | Image processing method and device and electronic equipment |
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