CN108805813A - A kind of picture joining method and device - Google Patents
A kind of picture joining method and device Download PDFInfo
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- CN108805813A CN108805813A CN201810574823.3A CN201810574823A CN108805813A CN 108805813 A CN108805813 A CN 108805813A CN 201810574823 A CN201810574823 A CN 201810574823A CN 108805813 A CN108805813 A CN 108805813A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
Abstract
A kind of picture joining method and device provided in an embodiment of the present invention, pass through the pixel value based on each picture region divided, for the first picture and second picture of adjacent figure number in acquired figure number continuously multiple pictures, each picture region pixel value in first picture is compared with each picture region pixel value in the second picture, determines the picture region repeated；The picture region of the repetition is subjected to duplicate removal；Picture region after duplicate removal is spliced.The pixel value of each picture region is compared in the first picture and second picture of the embodiment of the present invention by selecting adjacent figure number, find out the picture region of repetition, splice after realizing duplicate removal, it does not need user and reaffirms context dialogue relation between every pictures, and it does not need user and the identical conversation content in subregion in plurality of pictures is artificially subjected to duplicate removal, therefore user experience can be promoted.
Description
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of picture joining method and device.
Background technology
With popularizing for electronic equipment, user often shares picture or watches what other users were shared on an electronic device
Picture.When user is exchanged using electronic equipment with other users, often there is more conversation content, this is more
Conversation content, hereon referred to as long dialogue, user intercept the subdialogue content of long dialogue according to actual demand or all talk with
Content generates picture, then shares.
The size of electronic equipment display interface is often limited, and long dialogue length is longer.If user intercepts the complete of long dialogue
Portion's conversation content needs the dialog sequence according to long dialogue, artificially according to the size of electronic equipment display interface, long dialogue is complete
Portion's conversation content is divided into multiple dialog interfaces, the dialog interface to overlap there are identical conversation contents.User from comprising
The long dialog interface for talking with first sentence starts to comprising the long dialog interface for talking with last sentence to terminate, successively dialogue circle of the long dialogue of interception
Face generates picture, then splices the picture of generation using third party software, then shares.
In the prior art, artificially the whole conversation contents of long dialogue are divided into more according to the size of electronic equipment display interface
A dialog interface, there are identical conversation content, the successively dialogues of the long dialogue of interception in the conversation interface portion region to overlap
There is also identical conversation contents for subregion in the picture that interface generates.Using third party software by the picture of generation according to
Then the dialog sequence splicing of long dialogue, the context dialogue relation between needing user to reaffirm every pictures artificially will
The subregion of identical conversation content carries out duplicate removal in plurality of pictures, could splice the plurality of pictures after duplicate removal, by
More difficult to control in the size that the subregion of identical conversation content in plurality of pictures is artificially carried out to duplicate removal, user usually needs
The size of great effort user's control duplicate removal is spent, therefore user experience reduces.
Invention content
The embodiment of the present invention is designed to provide a kind of picture joining method and device, reduces user and reaffirms every
Context dialogue relation between picture, and the subregion of identical conversation content in plurality of pictures is artificially subjected to duplicate removal
The step of, promote user experience.Specific technical solution is as follows：
In a first aspect, an embodiment of the present invention provides a kind of picture joining methods, including：
Based on the pixel value of each picture region divided, for adjacent in acquired figure number continuously multiple pictures
The first picture and second picture of figure number, by each picture region in each picture region pixel value in the first picture and second picture
Domain pixel value is compared, and determines the picture region repeated；Each picture region is by the way that acquired figure number is continuously more
A picture is divided into the acquisition of preset quantity picture region；
The picture region of the repetition is subjected to duplicate removal；
Picture region after duplicate removal is spliced.
Optionally, using following steps, each picture region pixel divided is obtained：
For the continuous multiple pictures of acquired figure number, according to preset quantity target template, by acquired figure number
Continuous multiple pictures are divided into preset quantity picture region；Wherein, each target template size is preset；
Obtain the pixel value of each picture region；
Using the pixel value of each picture region as the pixel value of each picture region divided.
Optionally, the pixel value based on each picture region divided, for the continuous multiple figures of acquired figure number
The first picture and second picture of adjacent figure number in piece, will be each in each picture region pixel value in the first picture and second picture
A picture region pixel value is compared, and determines that the picture region repeated includes：
By the picture of each each row of picture region in the pixel value and second picture of each row of each picture region in the first picture
Plain value is compared；Each row pixel value is the pixel value of each row pixel；
If there are in the first picture region, with each picture in second picture in each picture region in the first picture
Two picture regions, the identical pixel number of each row pixel value is more than first threshold, then by the first picture region and second picture
Region is determined as the picture region repeated.
Optionally, the pixel value based on each picture region divided, for the continuous multiple figures of acquired figure number
The first picture and second picture of adjacent figure number in piece, will be each in each picture region pixel value in the first picture and second picture
A picture region pixel value is compared, and determines that the picture region repeated includes：
Message Digest Algorithm 5 MD5 value of each picture region divided per row pixel value is calculated, by the first figure
In piece each of each of each each row MD5 values of picture region and each row MD5 values of each picture region in second picture into
Row compares；Each row pixel value is the pixel value of each row pixel；
If existing in each picture region in the first picture, the first picture region and each picture region in second picture
Middle second picture region, the identical digit number of each row MD5 value digits is more than digit threshold value, then by the first picture region and second
Picture region is determined as the picture region repeated.
Optionally, the pixel value based on each picture region divided, for the continuous multiple figures of acquired figure number
The first picture and second picture of adjacent figure number in piece, will be each in each picture region pixel value in the first picture and second picture
A picture region pixel value is compared, and determines that the picture region repeated includes：
MD5 value of each picture region divided per row pixel value is calculated, each picture region in the first picture is each
Each of row MD5 values is compared with each of each row MD5 values of each picture region in second picture；Each row pixel value is
The pixel value of each row pixel；
If a line MD5 values in the first picture in each picture region there are the first picture region, and in second picture
Second picture region a line MD5 values are identical in each picture region, then are determined as the first picture region and second picture region
The picture region repeated.
Optionally, the pixel value based on each picture region divided, for the continuous multiple figures of acquired figure number
The first picture and second picture of adjacent figure number in piece, will be each in each picture region pixel value in the first picture and second picture
A picture region pixel value is compared, and determines that the picture region repeated includes：
MD5 value of each picture region divided per row pixel value is calculated, each picture region in the first picture is each
Each progress of each of the MD5 values of row pixel value and the MD5 values of each row pixel value of each picture region in second picture
Compare；Each row pixel value is the pixel value of each row pixel；
If the MD5 values in the first picture in each picture region there are the one-line pixel value of the first picture region, with
The MD5 values of second picture region one-line pixel value are identical in each picture region in two pictures, then by the MD5 values of the row pixel value
As common characters string；
In the MD5 values of each row pixel value of each picture region, identical with common characters string MD5 values are searched, it will be with
Picture region where the corresponding pixel of the identical MD5 values of common characters string is determined as the picture region repeated.
Optionally, the picture region repeated is carried out duplicate removal includes：
Judge that in the picture region repeated be more than second with the presence or absence of at least identical pixel number of one-line pixel value
Threshold value；
If it is present being more than the row duplicate removal of second threshold by the identical pixel number of pixel value；Pixel value is pixel
The pixel value of point.
Optionally, the picture region after duplicate removal is carried out splicing includes：
By acquired figure number, continuously multiple pictures are ranked up, and obtain ranking results；Ranking results include：Each figure
Piece and the corresponding figure number of picture；
By the picture region after duplicate removal, spliced according to the figure number sequence of the continuous multiple pictures of acquired figure number.
Second aspect, a kind of picture splicing apparatus provided in an embodiment of the present invention, including：
Determining module, it is continuous for acquired figure number for the pixel value based on each picture region divided
The first picture and second picture of adjacent figure number in multiple pictures, by each picture region pixel value and the second figure in the first picture
Each picture region pixel value is compared in piece, determines the picture region repeated；Each picture region is by will obtain
Figure number continuously multiple pictures be divided into preset quantity picture region acquisition；
Deduplication module, the picture region for that will repeat carry out duplicate removal；
Concatenation module, for splicing the picture region after duplicate removal.
Optionally, determining module includes：
Subelement is divided, for continuously multiple pictures will according to preset quantity target template by acquired figure number
Acquired picture is divided into preset quantity picture region；Wherein, each target template size is preset；
Pixel subelement, the pixel value for obtaining each row of each picture region；
Region subelement, for using the pixel value of each row of each picture region as the picture of each picture region divided
Element value.
Optionally, determining module includes：
First comparing subunit, being used for will be each in the pixel value and second picture of each row of each picture region in the first picture
The pixel value of a each row of picture region is compared；Each row pixel value is the pixel value of each row pixel；
First repeats subelement, if for there are the first picture regions and second in each picture region in the first picture
The identical pixel number of each row pixel value in second picture region is more than first threshold in each picture in picture, then by the first figure
Panel region and second picture region are determined as the picture region repeated.
Optionally, determining module includes：
Second comparing subunit, for calculating Message Digest 5 the of each picture region divided per row pixel value
Five editions MD5 values, each by each row MD5 values of each picture region in the first picture are each with each picture region in second picture
Each of row MD5 values is compared；Each row pixel value is the pixel value of each row pixel；
Second repeats subelement, if for there are the first picture regions and second in each picture region in the first picture
The identical digit number of each row MD5 value digits in second picture region is more than digit threshold value in each picture region in picture, then will
First picture region and second picture region are determined as the picture region repeated.
Optionally, determining module includes：
Third comparing subunit, for calculating MD5 value of each picture region divided per row pixel value, by the first figure
In piece each of each of each each row MD5 values of picture region and each row MD5 values of each picture region in second picture into
Row compares；Each row pixel value is the pixel value of each row pixel；
The third repeating subelement, if a line MD5 in the first picture in each picture region there are the first picture region
Value is identical as second picture region a line MD5 values in each picture region in second picture, then by the first picture region and second
Picture region is determined as the picture region repeated.
Optionally, determining module includes：
4th comparing subunit, for calculating MD5 value of each picture region divided per row pixel value, by the first figure
Each of the MD5 values of each each row pixel value of picture region and each row pixel value of each picture region in second picture in piece
Each of MD5 values is compared；Each row pixel value is the pixel value of each row pixel；
If in each picture region in the first picture there are the MD5 values of the one-line pixel value of the first picture region with
The MD5 values of second picture region one-line pixel value are identical in each picture region in second picture, then by the MD5 of the row pixel value
Value is used as common characters string；
4th repeats subelement, is used in the MD5 values of each row pixel value of each picture region, lookup and common characters
It goes here and there identical MD5 values, the picture region where the corresponding pixel of MD5 values identical with common characters string is determined as repeating
Picture region.
Optionally, deduplication module includes：
Judgment sub-unit, for judging in the picture region repeated with the presence or absence of at least identical pixel of one-line pixel value
Point number is more than second threshold；
Duplicate removal subelement, for if it is present the row by the identical pixel number of pixel value more than second threshold is gone
Weight；Pixel value is the pixel value of pixel.
Optionally, concatenation module includes：
Sorting subunit obtains ranking results for continuously multiple pictures to be ranked up by acquired figure number；It is described
Ranking results include：Each picture and the corresponding figure number of picture；
Splice subelement, for by the picture region after duplicate removal, according to the figure of the continuous multiple pictures of acquired figure number
Number sequence is spliced.
At the another aspect that the present invention is implemented, a kind of electronic equipment, including processor, communication interface, storage are additionally provided
Device and communication bus, wherein processor, communication interface, memory complete mutual communication by communication bus；
Memory, for storing computer program；
Processor when for executing the program stored on memory, realizes a kind of above-mentioned picture splicing.
At the another aspect that the present invention is implemented, a kind of computer readable storage medium is additionally provided, it is described computer-readable
Instruction is stored in storage medium, when run on a computer so that computer executes any of the above-described picture and spells
Connect method.
At the another aspect that the present invention is implemented, the embodiment of the present invention additionally provides a kind of computer program production comprising instruction
Product, when run on a computer so that computer executes any of the above-described picture joining method.
A kind of picture joining method and device provided in an embodiment of the present invention, by based on each picture region divided
Pixel value, for the first picture and second picture of adjacent figure number in acquired figure number continuously multiple pictures, by first
Each picture region pixel value is compared with each picture region pixel value in second picture in picture, determines the picture repeated
Region；Each picture region is by the way that by acquired figure number, continuously multiple pictures are divided into preset quantity picture region and obtain
?；The picture region repeated is subjected to duplicate removal；Picture region after duplicate removal is spliced.The embodiment of the present invention is by selecting phase
The pixel value of each picture region is compared in the first picture and second picture of adjacent figure number, finds out the picture region of repetition,
Splice after realizing duplicate removal, does not need user and reaffirm context dialogue relation between every pictures, and do not need user
The identical conversation content in subregion in plurality of pictures is artificially subjected to duplicate removal, therefore user experience can be promoted.Certainly, implement
Any product or method of the present invention does not necessarily require achieving all the advantages described above at the same time.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of flow chart of picture joining method provided in an embodiment of the present invention；
Fig. 2 is the schematic diagram of each picture region provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of the picture region of repetition provided in an embodiment of the present invention；
Fig. 4 is a kind of flow chart by the picture region duplicate removal repeated provided in an embodiment of the present invention；
Fig. 5 is the flow chart that a kind of picture region by after duplicate removal provided in an embodiment of the present invention is spliced；
Fig. 6 is a kind of flow chart obtaining each picture region divided provided in an embodiment of the present invention；
Fig. 7 is a kind of flow chart of the picture region of determining repetition provided in an embodiment of the present invention；
Fig. 8 is another flow chart for determining the picture region repeated provided in an embodiment of the present invention；
Fig. 9 is the flow chart for the picture region that another determination provided in an embodiment of the present invention repeats；
Figure 10 is the flow chart for the picture region that another determination provided in an embodiment of the present invention repeats；
Figure 11 is a kind of structure chart of picture joining method device provided in an embodiment of the present invention；
Figure 12 is the structure chart of a kind of electronic equipment provided in an embodiment of the present invention.
Specific implementation mode
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 describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
First, to facilitate understanding of the present embodiment of the invention, the use in this first introduces the embodiment of the present invention hereafter
Term " the first picture ", " second picture ", " the first picture region ", " second picture region ", " first threshold ", " second threshold "
And " target template " etc..
First picture is a pictures in acquired figure number continuously multiple pictures；Second picture is acquired figure number
The continuously pictures in multiple pictures in addition to the first picture, relational terms such as first and second and the like here
It is used merely to distinguish in " the first picture " and " second picture ", is not necessarily to or implies " the first picture " and "
There are any actual relationship or orders between two pictures ".Specifically whether " the first picture " and " second picture " have suitable
Sequence can be gone to limit according to actual conditions.
First picture region is any picture region in each picture region；Second picture region is each picture region
In any picture region in addition to the first picture region, relational terms such as first and second and the like here are used merely to
" the first picture region " and " second picture region " is distinguished, be not necessarily to or imply " the first picture region " and
There are any actual relationship or orders between " second picture region ".Specifically " the first picture region " and " the second figure
Whether panel region " has sequence, can go to limit according to actual conditions.
First threshold behaviour is the numerical value set according to industry experience, and second threshold behaviour is to be set according to industry experience
Different from the numerical value of first threshold.Here relational terms such as first and second and the like are used merely to " first threshold "
And " second threshold " distinguishes, be not necessarily to or imply between " first threshold " and " second threshold " there are it is any this
The actual relationship of kind or sequence.Specifically whether " first threshold " and " second threshold " has sequence, can be gone according to actual conditions
It limits.
Target template is the size according to picture, and artificial settings is equal with the width of picture, and length is less than picture length
Rectangle or square area.
It continues with and a kind of picture joining method provided in an embodiment of the present invention is briefly described.
A kind of picture joining method provided in an embodiment of the present invention, is applied to electronic equipment, and further electronic equipment can be with
For mobile phone, computer, server, intelligent mobile terminal equipment, wearable intelligent mobile terminal equipment etc..It does not limit herein,
Any electronic equipment that the present invention may be implemented, all belongs to the scope of protection of the present invention.
As shown in Figure 1, an embodiment of the present invention provides a kind of picture joining methods, including：
S101, based on the pixel value of each picture region divided, for the continuous multiple pictures of acquired figure number
In adjacent figure number the first picture and second picture, by each picture region pixel value in the first picture with it is each in second picture
Picture region pixel value is compared, and determines the picture region repeated；Each picture region is by connecting acquired figure number
Continuous multiple pictures are divided into the acquisition of preset quantity picture region；
Wherein, preset quantity is the numerical value artificially set according to industry experience.
Referring to Fig. 2, Fig. 2 is the schematic diagram of each picture region of the embodiment of the present invention.Picture region includes：Top image
Region 21, bottom image region 23, includes virtual key bottom image region 24, specific picture region at intermediate picture region 22
Domain determines according to actual conditions, does not herein limit.
In order to quickly determine the picture region repeated, following at least one possible realization method may be used by the first figure
Each picture region pixel value is compared with each picture region pixel value in second picture in piece：
In one possible implementation, respectively by each picture region in the first picture and in second picture according to picture
The variance of plain value is ranked up, and selects the pixel value and second picture of the maximum picture region of variance of pixel value in the first picture
The pixel value of the maximum picture region of variance of middle pixel value is compared, and determines the picture region repeated, and weight is determined to improve
The efficiency of multiple picture region.
It is the schematic diagram of the picture region of the repetition of the embodiment of the present invention referring to Fig. 3, Fig. 3.Repeat picture region include：
Including the picture region 31 of stem status bar and the picture region 34 comprising bottom state column.Specific screenshot capture is according to reality
What situation determined, it does not limit herein.Client can carry out duplicate removal using the picture region repeated, reduce the processing of client
Task improves the treatment effeciency of client.
In one possible implementation, the picture region comprising status bar is removed, it is corresponding in two continuous pictures
Picture region generally will not be identical, in order to save the time for the picture region for determining repetition, respectively by the first picture with the
The pixel value of the picture region of non-corresponding is compared in two pictures, determines the picture region repeated.
Such as：With reference to Fig. 2 and Fig. 3, respectively there are 4 picture regions, 4 picture regions point of picture 2 in picture 2 and picture 3
Not Wei 21,22,23,24, in picture 3 picture region 31,32,33,34 respectively with picture region 21 in picture 2,22,23,24 pairs
It answers.It can will be compared with non-corresponding picture region in picture 3 in picture 2, such as by picture region 22 and picture in picture 2
The pixel value of picture region 33 is compared in 3.
The picture region repeated is carried out duplicate removal by S102；
In order to improve user experience, may be used following at least one possible realization method by the picture region repeated into
Row duplicate removal：
It in one possible implementation, can will be in each picture region pixel value in the first picture and second picture
Each picture region pixel value is compared, and after the completion of by acquired figure number, continuously multiple pictures compare, is determined
The figure number of the acquisition picture region that continuously multiple pictures repeat, then to acquired figure number, continuously multiple pictures repeat
Picture region while duplicate removal, improve the efficiency of the picture region duplicate removal of repetition.
It, can be by each picture region pixel value and second picture in the first picture in alternatively possible realization method
In each picture region pixel value be compared, found out in acquired figure number continuously multiple pictures in two pictures repeat
Picture region, carry out duplicate removal, then found out successively in remaining picture other pictures repeat picture region carry out duplicate removal,
Splicing, which is carried out, for the picture after duplicate removal saves the time.
In another possible realization method, as shown in figure 4, may be used following steps by repeat picture region into
Row duplicate removal：
S401, judge with the presence or absence of at least identical pixel number of one-line pixel value be more than in the picture region repeated
Second threshold；
S402, if it is present being more than the row duplicate removal of second threshold by the identical pixel number of pixel value；Pixel value is
The pixel value of pixel.
The picture region repeated, which is carried out duplicate removal, by present embodiment can improve the picture region duplicate removal that will be repeated
Accuracy rate.
S103 splices the picture region after duplicate removal.
In order to improve user experience, following at least one possible realization method may be used by the picture region after duplicate removal
Spliced：
In one possible implementation, present count can be determined in acquired figure number continuously multiple pictures
The picture region repeated in pictures is measured, duplicate removal is carried out, has then obtained the preset quantity pictures after duplicate removal with remaining
The continuous picture of figure number spliced, with improve splicing efficiency.
In alternatively possible realization method, it may be determined that go out the duplicate block of the continuous all pictures of acquired figure number
Domain carries out duplicate removal, and then by the acquired figure number after duplicate removal, continuously all pictures splice, to improve user experience.
In alternatively possible realization method, as shown in figure 5, following steps may be used by the picture region after duplicate removal
Spliced：
S501, by acquired figure number, continuously multiple pictures are ranked up, and obtain ranking results；Ranking results include：
Each picture and the corresponding figure number of picture；
S502 carries out the picture region after duplicate removal according to the figure number sequence of the continuous multiple pictures of acquired figure number
Splicing.
The picture region after duplicate removal, which is carried out splicing, by embodiment can improve the accuracy rate of splicing.
The pixel of each picture region in the first picture and second picture of the embodiment of the present invention by selecting adjacent figure number
Value is compared, and finds out the picture region of repetition, is spliced after realizing duplicate removal, is not needed user and is reaffirmed between every pictures
Context dialogue relation, and do not need user and the identical conversation content in subregion in plurality of pictures is artificially subjected to duplicate removal,
Therefore user experience can be promoted.
In order to improve user experience, drawn as shown in fig. 6, following at least one possible realization method may be used
The each picture region divided：
S601, by the continuous multiple pictures of acquired figure number, according to preset quantity target template, by acquired figure
Piece is divided into preset quantity picture region；Wherein, each target template size is preset；
In order to be quickly obtained picture region, following at least one possible realization method may be used by acquired figure number
Continuous multiple pictures, according to preset quantity target template, by acquired figure number continuously multiple pictures be divided into it is default
Quantity picture region：
Wherein, preset quantity is the numerical value artificially set according to industry experience.
In one possible implementation, by acquired figure number continuously multiple pictures according to figure number sequence, in advance
Preset quantity target template is first established, continuously multiple pictures are divided into preset quantity picture region by acquired figure number
Domain is quickly obtained picture region.
In one possible implementation, using the row of picture as target template, acquired figure number is continuously more
A picture is divided into the picture region equal with picture line number, improves the accuracy for dividing continuous multiple pictures.
In one possible implementation, preset quantity target template corresponding with figure number is pre-established, will have been obtained
The continuous multiple pictures of figure number, be divided into preset quantity picture according to preset quantity target template corresponding with figure number
Region.Wherein, preset quantity target template area corresponding with figure number may be the same or different.The embodiment can
To adapt to the continuously multiple dimension of picture variations of acquired figure number, the accuracy for dividing continuous multiple pictures, picture are improved
Size be picture length and width.
Such as：The picture of continuous figure number be be not picture 2 and picture 3, preset quantity are 4, it is right with picture 2 to pre-establish
The preset quantity target template answered is respectively a, b, c, d；Pre-establish preset quantity target template corresponding with picture 3 point
It Wei not e, f, g, h；The area of target template a, b, c, d, e, f, g, h are different.Alternatively, pre-establishing corresponding with picture 2 default
Quantity target template is respectively a, b, c, d；Pre-establish preset quantity target template corresponding with picture 3 be respectively a, f,
g、d。
S602 obtains the pixel value of each picture region；
S603, using the pixel value of each picture region as the pixel value of each picture region divided.
The continuous multiple pictures of acquired figure number are divided into preset quantity by the present embodiment according to preset target template
Then a picture region obtains the pixel value of picture region, can improve the accuracy rate for the picture region for determining repetition.
In conjunction with the embodiment of Fig. 1, Fig. 4 and Fig. 5, in order to improve user experience, above-mentioned S102 may be used following at least one
The possible realization method of kind, determines the picture region repeated：
In one possible implementation, as shown in fig. 7, the picture region repeated can be determined as follows：
S701, by each each row of picture region in the pixel value and second picture of each row of each picture region in the first picture
Pixel value be compared；Each row pixel value is the pixel value of each row pixel；
S702, if existing in each picture region in the first picture, the first picture region and each figure in second picture
Second picture region in piece, the identical pixel number of each row pixel value are more than first threshold, then by the first picture region and the
Two picture regions are determined as the picture region repeated.
Wherein, first threshold is the numerical value set according to industry experience.
Such as：First threshold is 4, and each picture region is respectively in the first picture：21,22,23,24,；In second picture
Each picture region is respectively：31,32,33,34；If picture region 21 has 2 rows with picture region 31, if picture region 21
It is 7,9 respectively to have the identical pixel number of 2 row pixel values with picture region 31, has been more than first threshold, then by the first picture
Region 21 and second picture region 31 are determined as the picture region repeated.
Present embodiment whether there is in the first picture with picture region in second picture by judging, pixel value is identical
Pixel number is more than first number threshold value, can save the time for the picture region for determining repetition.
In alternatively possible realization method, as shown in figure 8, the picture region repeated can be determined as follows
Domain：
S801 calculates MD5 (Message Digest of each picture region divided per row pixel value
Algorithm, Message Digest 5) value, by each and second picture of each row MD5 values of each picture region in the first picture
In each of each each row MD5 values of picture region be compared；Each row pixel value is the pixel value of each row pixel；
S802, if there are the first picture regions in each picture region in the first picture, with each figure in second picture
Second picture region in panel region, the identical digit number of each row MD5 value digits is more than digit threshold value, then by the first picture region
And second picture region, it is determined as the picture region repeated.
Wherein, digit threshold value is the numerical value set according to industry experience.
Such as：Digit threshold value is 4, and each picture region is respectively in the first picture：21,22,23,24；In second picture
Each picture region is respectively：31,32,33,34；Picture region 21 has 2 rows with picture region 31,21 each row of picture region
MD5 values are：123eri45dd,183e786uyi22；The MD5 values of 31 each row of picture region are：135eri45dd,
183e78609822；Picture region 31 is 8,9 respectively with the identical digit of each row MD5 values in picture region 21, has been more than digit
Picture region 31 and picture region 21 are then determined as the picture region repeated by threshold value.
Present embodiment is by calculating MD5 of each picture region divided per row pixel value, by the first picture region
In each row MD5 values be compared with second picture region MD5 values, be more than digit threshold value by MD5 value numbers identical digit numbers
First picture region and second picture region are determined as repetitive picture region, can improve the accurate of determining repetitive picture region
Rate.
In another possible realization method, as shown in figure 9, the picture region repeated can be determined as follows
Domain：
S901 calculates MD5 value of each picture region divided per row pixel value, by each picture region in the first picture
Each of each row MD5 values in domain is compared with each of each row MD5 values of each picture region in second picture；Each row picture
Element value is the pixel value of each row pixel；
S902, if a line MD5 values in the first picture in each picture region there are the first picture region, with the second figure
Second picture region a line MD5 values are identical in each picture region in piece, then the first picture region and second picture region is true
It is set to the picture region of repetition.
Such as：Each picture region is respectively in first picture：21,22,23,24；Each picture region in second picture
Respectively：31,32,33,34；Picture region 21 and picture region 31 have 2 rows, the MD5 values of 21 each row of picture region to be：
123eri45dd,183e786uyi22；The MD5 values of 31 each row of picture region are：123eri45dd,183e786uyi22；Picture
Region 21 with often row MD5 values are identical in picture region 31, then picture region 21 and picture region 31 are determined as the picture repeated
Region.
Present embodiment is by calculating MD5 of each picture region divided per row pixel value, by the first picture region
In each row MD5 values be compared with each of second picture region MD5 values, by identical first picture of a line MD5 values
Region and second picture region are determined as repetitive picture region, can improve the efficiency in determining repetitive picture region.
In another possible realization method, as shown in Figure 10, the picture region repeated can be determined as follows
Domain：
S1001 calculates MD5 value of each picture region divided per row pixel value, by each picture in the first picture
Each of the MD5 values of each row pixel value in region in second picture the MD5 values of each row pixel value of each picture region it is each
Position is compared；Each row pixel value is the pixel value of each row pixel；
S1002, if there are the MD5 of the one-line pixel value of the first picture region in each picture region in the first picture
Value, it is identical as the MD5 values of second picture region one-line pixel value in each picture region in second picture, then by the row pixel value
MD5 values as common characters string；
Wherein, common characters string is identical first picture region row with the MD5 values of second picture region one-line pixel value
The MD5 values of pixel value.
S1003 searches MD5 identical with common characters string in the MD5 values of each row pixel value of each picture region
Value, the picture region that the picture region where the corresponding pixel of MD5 values identical with common characters string is determined as repeating.
Such as：Digit threshold value is 4, and each picture region is respectively in the first picture：21,22,23,24；In second picture
Each picture region is respectively：31,32,33,34；Picture region 21 has 2 rows with picture region 31,21 each row of picture region
MD5 values are：123eri45dd,183e786uyi22；The MD5 values of 31 each row of picture region are：123eri45dd,
183e786uyi22；Picture region 21 with often row MD5 values are identical in picture region 31, then by picture region 21 and picture region 31
In MD5 values 123eri45dd, 183e786uyi22 of each row be determined as common characters string；In each row pixel of each picture region
Identical with common characters string MD5 values are searched in the MD5 values of value, it will the corresponding pixel of identical with common characters string MD5 values
The picture region at place is determined as the picture region repeated.
Present embodiment is by calculating MD5 of each picture region divided per row pixel value, by the first picture region
In each row MD5 values and each row MD5 values in second picture region be compared, common characters string is determined, by each picture region
Picture region where the corresponding pixel of domain lookup MD5 values identical with common characters string is determined as the picture region repeated,
To improve the accuracy rate for determining repetitive picture region.
It continues with and a kind of picture splicing apparatus provided in an embodiment of the present invention is briefly described.
As shown in figure 11, a kind of picture splicing apparatus provided in an embodiment of the present invention, including：
Determining module 1101 connects for the pixel value based on each picture region divided for acquired figure number
The first picture and second picture of adjacent figure number in continuous multiple pictures, by each picture region pixel value in the first picture and
Each picture region pixel value is compared in two pictures, determines the picture region repeated；Each picture region is by will
Continuously multiple pictures are divided into the acquisition of preset quantity picture region to the figure number of acquisition；
Deduplication module 1102, the picture region for that will repeat carry out duplicate removal；
Concatenation module 1103, for splicing the picture region after duplicate removal.
Optionally, determining module includes：
Subelement is divided, for continuously multiple pictures will according to preset quantity target template by acquired figure number
Acquired picture is divided into preset quantity picture region；Wherein, each target template size is preset；
Pixel subelement, the pixel value for obtaining each row of each picture region；
Region subelement, for using the pixel value of each row of each picture region as the picture of each picture region divided
Element value.
Optionally, determining module includes：
First comparing subunit, being used for will be each in the pixel value and second picture of each row of each picture region in the first picture
The pixel value of a each row of picture region is compared；Each row pixel value is the pixel value of each row pixel；
First repeats subelement, if for there are the first picture regions and second in each picture region in the first picture
The identical pixel number of each row pixel value in second picture region is more than first threshold in each picture in picture, then by the first figure
Panel region and second picture region are determined as the picture region repeated.
Optionally, determining module includes：
Second comparing subunit, for calculating Message Digest 5 the of each picture region divided per row pixel value
Five editions MD5 values, each by each row MD5 values of each picture region in the first picture are each with each picture region in second picture
Each of row MD5 values is compared；Each row pixel value is the pixel value of each row pixel；
Second repeats subelement, if for there are the first picture regions and second in each picture region in the first picture
The identical digit number of each row MD5 value digits in second picture region is more than digit threshold value in each picture region in picture, then will
First picture region and second picture region are determined as the picture region repeated.
Optionally, determining module includes：
Third comparing subunit, for calculating MD5 value of each picture region divided per row pixel value, by the first figure
In piece each of each of each each row MD5 values of picture region and each row MD5 values of each picture region in second picture into
Row compares；Each row pixel value is the pixel value of each row pixel；
The third repeating subelement, if a line MD5 in the first picture in each picture region there are the first picture region
Value is identical as second picture region a line MD5 values in each picture region in second picture, then by the first picture region and second
Picture region is determined as the picture region repeated.
Optionally, determining module includes：
4th comparing subunit, for calculating MD5 value of each picture region divided per row pixel value, by the first figure
Each of the MD5 values of each each row pixel value of picture region and each row pixel value of each picture region in second picture in piece
Each of MD5 values is compared；Each row pixel value is the pixel value of each row pixel；
If in each picture region in the first picture there are the MD5 values of the one-line pixel value of the first picture region with
The MD5 values of second picture region one-line pixel value are identical in each picture region in second picture, then by the MD5 of the row pixel value
Value is used as common characters string；
4th repeats subelement, is used in the MD5 values of each row pixel value of each picture region, lookup and common characters
It goes here and there identical MD5 values, the picture region where the corresponding pixel of MD5 values identical with common characters string is determined as repeating
Picture region.
Optionally, deduplication module includes：
Judgment sub-unit, for judging in the picture region repeated with the presence or absence of at least identical pixel of one-line pixel value
Point number is more than second threshold；
Duplicate removal subelement, for if it is present the row by the identical pixel number of pixel value more than second threshold is gone
Weight；Pixel value is the pixel value of pixel.
Optionally, concatenation module includes：
Sorting subunit obtains ranking results for continuously multiple pictures to be ranked up by acquired figure number；Sequence
As a result include：Each picture and the corresponding figure number of picture；
Splice subelement, for by the picture region after duplicate removal, according to the figure of the continuous multiple pictures of acquired figure number
Number sequence is spliced.
The embodiment of the present invention additionally provides a kind of electronic equipment, as shown in figure 12, including processor 1201, communication interface
1202, memory 1203 and communication bus 1204, wherein processor 1201, communication interface 1202, memory 1203 pass through communication
Bus 1204 completes mutual communication,
Memory 1203, for storing computer program；
Processor 1201 when for executing the program stored on memory 1203, realizes following steps：
Based on the pixel value of each picture region divided, for adjacent in acquired figure number continuously multiple pictures
The first picture and second picture of figure number, by each picture region in each picture region pixel value in the first picture and second picture
Domain pixel value is compared, and determines the picture region repeated；Each picture region is by the way that acquired figure number is continuously more
A picture is divided into the acquisition of preset quantity picture region；
The picture region repeated is subjected to duplicate removal；
Picture region after duplicate removal is spliced.
The communication bus that above-mentioned electronic equipment is mentioned can be Peripheral Component Interconnect standard (Peripheral Component
Interconnect, PCI) bus or expanding the industrial standard structure (Extended Industry Standard
Architecture, EISA) bus etc..The communication bus can be divided into address bus, data/address bus, controlling bus etc..For just
It is only indicated with a thick line in expression, figure, it is not intended that an only bus or a type of bus.
Communication interface is for the communication between above-mentioned electronic equipment and other equipment.
Memory may include random access memory (Random Access Memory, RAM), can also include non-easy
The property lost memory (Non-Volatile Memory, NVM), for example, at least a magnetic disk storage.Optionally, memory may be used also
To be at least one storage device for being located remotely from aforementioned processor.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
CPU), network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal
Processing, DSP), it is application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing
It is field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete
Door or transistor logic, discrete hardware components.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Each embodiment in this specification is all made of relevant mode and describes, identical similar portion between each embodiment
Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for device reality
For applying example, since it is substantially similar to the method embodiment, so description is fairly simple, related place is referring to embodiment of the method
Part explanation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of picture joining method, which is characterized in that the method includes：
Based on the pixel value of each picture region divided, for adjacent figure number in acquired figure number continuously multiple pictures
The first picture and second picture, by each figure in each picture region pixel value in first picture and the second picture
Panel region pixel value is compared, and determines the picture region repeated；Each picture region is by by acquired figure number
Continuous multiple pictures are divided into the acquisition of preset quantity picture region；
The picture region of the repetition is subjected to duplicate removal；
Picture region after duplicate removal is spliced.
2. according to the method described in claim 1, it is characterized in that, using following steps, each picture region divided is obtained
Domain pixel：
It is according to preset quantity target template, acquired figure number is continuous for the continuous multiple pictures of acquired figure number
Multiple pictures be divided into preset quantity picture region；Wherein, each target template size is preset；
Obtain the pixel value of each picture region；
Using the pixel value of each picture region as the pixel value of each picture region divided.
3. according to the method described in claim 1, it is characterized in that, the pixel based on each picture region divided
Value, for the first picture and second picture of adjacent figure number in acquired figure number continuously multiple pictures, by first figure
Each picture region pixel value is compared with each picture region pixel value in the second picture in piece, determines the figure repeated
Panel region includes：
By each each row of picture region in the pixel value of each each row of picture region in first picture and the second picture
Pixel value be compared；Each row pixel value is the pixel value of each row pixel；
If there are the second figures in the first picture region, with each picture in second picture in each picture region in the first picture
Panel region, the identical pixel number of each row pixel value is more than first threshold, then by first picture region and described second
Picture region is determined as the picture region repeated.
4. according to the method described in claim 1, it is characterized in that, the pixel based on each picture region divided
Value, for the first picture and second picture of adjacent figure number in acquired figure number continuously multiple pictures, by first figure
Each picture region pixel value is compared with each picture region pixel value in the second picture in piece, determines the figure repeated
Panel region includes：
Message Digest Algorithm 5 MD5 value of each picture region divided per row pixel value is calculated, it will be in the first picture
Each of each of each each row MD5 values of picture region and each row MD5 values of each picture region in second picture are compared
Compared with；Each row pixel value is the pixel value of each row pixel；
If existing in each picture region in the first picture, in the first picture region and second picture the in each picture region
Two picture regions, the identical digit number of each row MD5 value digits are more than digit threshold value, then by first picture region and described
Second picture region is determined as the picture region repeated.
5. according to the method described in claim 1, it is characterized in that, the pixel based on each picture region divided
Value, for the first picture and second picture of adjacent figure number in acquired figure number continuously multiple pictures, by first figure
Each picture region pixel value is compared with each picture region pixel value in the second picture in piece, determines the figure repeated
Panel region includes：
MD5 value of each picture region divided per row pixel value is calculated, by each row MD5 of each picture region in the first picture
Each of value is compared with each of each row MD5 values of each picture region in second picture；Each row pixel value is
The pixel value of each row pixel；
It is and each in second picture if a line MD5 values in the first picture in each picture region there are the first picture region
Second picture region a line MD5 values are identical in picture region, then first picture region and the second picture region is true
It is set to the picture region of repetition.
6. according to the method described in claim 1, it is characterized in that, the pixel based on each picture region divided
Value, for the first picture and second picture of adjacent figure number in acquired figure number continuously multiple pictures, by first figure
Each picture region pixel value is compared with each picture region pixel value in the second picture in piece, determines the figure repeated
Panel region includes：
MD5 value of each picture region divided per row pixel value is calculated, by each row picture of each picture region in the first picture
Each of the MD5 values of plain value is compared with each of the MD5 values of each row pixel value of each picture region in second picture；
Each row pixel value is the pixel value of each row pixel；
If the MD5 values in the first picture in each picture region there are the one-line pixel value of the first picture region, with the second figure
The MD5 values of second picture region one-line pixel value are identical in each picture region in piece, then using the MD5 values of the row pixel value as
Common characters string；
In the MD5 values of each row pixel value of each picture region, MD5 values identical with the common characters string are searched,
The picture region that picture region where the corresponding pixel of MD5 values identical with the common characters string is determined as repeating.
7. according to the method described in claim 1, it is characterized in that, the picture region by the repetition carries out duplicate removal packet
It includes：
Judge that in the picture region of the repetition be more than second with the presence or absence of at least identical pixel number of one-line pixel value
Threshold value；
If it is present being more than the row duplicate removal of second threshold by the identical pixel number of pixel value；The pixel value is pixel
The pixel value of point.
8. according to the method described in claim 1, it is characterized in that, the picture region by after duplicate removal carry out splicing include：
By acquired figure number, continuously multiple pictures are ranked up, and obtain ranking results；The ranking results include：Each figure
Piece and the corresponding figure number of picture；
By the picture region after the duplicate removal, spliced according to the figure number sequence of the continuous multiple pictures of acquired figure number.
9. a kind of picture splicing apparatus, which is characterized in that described device includes：
Determining module, it is continuously multiple for acquired figure number for the pixel value based on each picture region divided
The first picture and second picture of adjacent figure number in picture, by each picture region pixel value in first picture and described the
Each picture region pixel value is compared in two pictures, determines the picture region repeated；Each picture region is to pass through
By acquired figure number, continuously multiple pictures are divided into the acquisition of preset quantity picture region；
Deduplication module, for the picture region of the repetition to be carried out duplicate removal；
Concatenation module, for splicing the picture region after duplicate removal.
10. a kind of electronic equipment, which is characterized in that including processor, communication interface, memory and communication bus, wherein processing
Device, communication interface, memory complete mutual communication by communication bus；
Memory, for storing computer program；
Processor when for executing the program stored on memory, realizes any method and steps of claim 1-8.
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Application publication date: 20181113 |