CN108376416A - A kind of image generating method and device - Google Patents
A kind of image generating method and device Download PDFInfo
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- CN108376416A CN108376416A CN201810038900.3A CN201810038900A CN108376416A CN 108376416 A CN108376416 A CN 108376416A CN 201810038900 A CN201810038900 A CN 201810038900A CN 108376416 A CN108376416 A CN 108376416A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/60—Editing figures and text; Combining figures or text
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
Abstract
An embodiment of the present invention provides a kind of image generating method and device, this method obtains the characteristic attribute of target abstract painting first, and the characteristic attribute includes basic figure information and semantic graphical information；Then it according to the division rule of the characteristic attribute, determines the affiliated level of the characteristic attribute, generates multiple target tiers, each target tier includes the characteristic attribute of identical dimensional；It is finally synthesizing the target tier, generates target image.As it can be seen that an embodiment of the present invention provides a kind of image generating method and device, the primary image element of target image can be extracted, and be layered the semantic figure of integration, form the new images with target image characteristics.
Description
Technical field
The present invention relates to image processing fields, and in particular to a kind of image generating method and device.
Background technology
With the fast development of society, people are also higher and higher to the pursuit of art.Currently, computer makees several art
The integration of product is only limitted to several works being simply superimposed, for example, several pictures to be spliced to the figure of a fixed form
In piece, it is specifically as follows and extracts the head portrait in the photo with head portrait, the head portrait is then spliced to preset clothes
In template, to form new image.
However, it is found by the inventors that current image mosaic mode is relatively simple, the diversification of image generation how is improved,
It is those skilled in the art's big technical problem urgently to be resolved hurrily to improve the experience of user.
Invention content
In view of this, an embodiment of the present invention provides a kind of image generating method and device, it can be to target image
Primary image element extracts, and is layered the semantic figure of integration, forms the new images with target image characteristics.
To achieve the above object, the embodiment of the present invention provides the following technical solutions：
A kind of image generating method, including：
The characteristic attribute of target abstract painting is obtained, the characteristic attribute includes basic figure information and semantic figure letter
Breath；
According to the division rule of the characteristic attribute, determines the affiliated level of the characteristic attribute, generate multiple destination layers
Grade, each target tier include the characteristic attribute of identical dimensional；
The target tier is synthesized, target image is generated.
Optionally, further include：
Obtain instruction operational order of the user based on the target image；
According to the instruction operational order, corresponding processing operation is carried out to the target image or regenerates the mesh
Logo image.
Optionally, the division rule according to the characteristic attribute determines the affiliated level of the characteristic attribute, generates
Multiple target tiers, including：
Determine the attribute information of semantic graphical information described in the target abstract painting, the attribute information includes the base
Size, color and the placement position of plinth graphical information；
The basic figure information is drawn on default painting canvas, generates first object level；
According to border circle algorithm, the target area in the first object level is determined, the target area is for drawing
The semanteme graphical information；
The semantic graphical information is drawn on the target area, generates the second target tier；
According to big vast filling algorithm, processing of tinting is carried out to second target tier, generates third target tier.
Optionally, the synthesis target tier, generates target image, including：
Determine that the third target tier is the target tier；
The target tier is carried out to do old processing, generates the target image.
Optionally, described that target area in the first object level is determined according to border circle algorithm, including：
Determine that multiple circles account for angle number in the first object level；
Angle number is accounted for according to described, determines that the round position in the first object level is the target area；
The semantic graphical information is drawn on the target area correspondingly, described, including：
It determines boundary of the target area as the semantic graphical information, the semantic graphical information is plotted in institute
It states in target area.
A kind of video generation device, including：
First acquisition module, the characteristic attribute for obtaining target abstract painting, the characteristic attribute include basic figure letter
Breath and semantic graphical information；
Determining module determines the affiliated level of the characteristic attribute for the division rule according to the characteristic attribute, raw
At multiple target tiers, each target tier includes the characteristic attribute of identical dimensional；
Synthesis module generates target image for synthesizing the target tier.
Optionally, further include：
Second acquisition module, for obtaining instruction operational order of the user based on the target image；
Processing module, for according to the instruction operational order, to the target image carry out corresponding processing operation or
Regenerate the target image.
Optionally, the determining module includes：
First determination unit, the attribute information for determining semantic graphical information described in the target abstract painting are described
Attribute information includes size, color and the placement position of the basic figure information；
First generation unit generates first object level for drawing the basic figure information on default painting canvas；
Second determination unit, it is described for according to border circle algorithm, determining the target area in the first object level
Target area is for drawing the semantic graphical information；
Second generation unit generates the second destination layer for drawing the semantic graphical information on the target area
Grade；
Third generation unit carries out processing of tinting for according to big vast filling algorithm to second target tier, generation the
Three target tiers.
Optionally, the synthesis module includes：
Third determination unit, for determining that the third target tier is the target tier；
4th generation unit does old processing for being carried out to the target tier, generates the target image.
Optionally, second determination unit includes：
First determination subelement, for determining that multiple circles account for angle number in the first object level；
Second determination subelement is used to account for angle number according to, determines the round position in the first object level
It is set to the target area；
Correspondingly, second generation unit includes：
Third determination subelement will be described for determining boundary of the target area as the semantic graphical information
Semantic graphical information is plotted in the target area.
Based on the above-mentioned technical proposal, an embodiment of the present invention provides a kind of image generating method and devices, and this method is first
The characteristic attribute of target abstract painting is obtained, the characteristic attribute includes basic figure information and semantic graphical information；Then root
According to the division rule of the characteristic attribute, determines the affiliated level of the characteristic attribute, generate multiple target tiers, it is each described
Target tier includes the characteristic attribute of identical dimensional；It is finally synthesizing the target tier, generates target image.As it can be seen that of the invention
Embodiment provides a kind of image generating method and device, can be extracted to the primary image element of target image, and
Semantic figure is integrated in layering, forms the new images with target image characteristics.
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
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow diagram of image generating method provided in an embodiment of the present invention；
Fig. 2 a are a kind of schematic diagram of target abstract painting provided in an embodiment of the present invention；
Fig. 2 b are another schematic diagram of target abstract painting provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of the basic figure information of target abstract painting provided in an embodiment of the present invention；
Fig. 4 is the schematic diagram of the semantic graphical information of target abstract painting provided in an embodiment of the present invention；
Fig. 5 is the curve synoptic diagram provided in an embodiment of the present invention for generating irregular cycle；
Fig. 6 is the curve synoptic diagram of generation wedge angle or fillet hourglass provided in an embodiment of the present invention；
Fig. 7 is the structural schematic diagram of multiple target tiers provided in an embodiment of the present invention；
Fig. 8 is a kind of another flow diagram of image generating method provided in an embodiment of the present invention；
Fig. 9 is a kind of another flow diagram of image generating method provided in an embodiment of the present invention；
Figure 10 is a kind of schematic diagram of the picture layout method based on maximum cave bin packing algorithm provided in an embodiment of the present invention；
Figure 11 is a kind of another flow diagram of image generating method provided in an embodiment of the present invention；
Figure 12 is according to a kind of schematic diagram for the image that image generating method generates provided in an embodiment of the present invention；
Figure 13 is a kind of structural schematic diagram of video generation device provided in an embodiment of the present invention.
Specific implementation mode
Referring to Fig. 1, Fig. 1 is a kind of flow diagram of image generating method provided in an embodiment of the present invention, the image
Generation method includes step：
S11, the characteristic attribute for obtaining target abstract painting, the characteristic attribute include basic figure information and semantic figure
Information；
Synthesis mode based on image in background technology is more single, and an embodiment of the present invention provides a kind of image generation sides
Method, this method obtain the characteristic attribute of target abstract painting first, wherein and target signature is abstract to be depicted as pending benchmark image,
For example, it is desired to according to image A and image B, the image C of the feature with image A and image B is generated, then, in this implementation
In example, target signature abstract painting is exactly image A and image B.
Specifically, image A and image B can be with characteristic attribute having the same, it is possible to have different characteristic attributes, such as
Image A is the abstractionism painting style, and image B sends the painting style to be brief.Referring to Fig. 2, wherein it is assumed that it is figure that Fig. 2 a, which are image A, Fig. 2 b,
As B, this step is to be based on image A and image B, obtains basic figure information, semantic graphical information in image A respectively, with
And basic figure information in image B and semantic graphical information, wherein basic figure information can be with as shown in figure 3, grapheme
Shape information can be as shown in Figure 4.
It should be noted that the acquisition of basic figure information in the present embodiment, can be that artificially specified target is abstract
The basic figure information of picture, for example, " * " this image is basic graphical information in specified Fig. 2 a.Certainly, basic figure information
Acquisition can also be that computer is automatically performed, e.g., based on determining that the frequency of occurrences is higher than the image of preset value in target abstract painting
Graphical information determines that the image being all had at least two abstract paintings is that basic figure is believed alternatively, comparing multiple target abstract paintings
Breath.Except this, other rules can be determined according to, it is not limited to above two specific implementation.
For example, for meter Luo artist's《Constellation》Serial a series of paintings is analyzed, have selected in detail " Poetess " (Fig. 2 a) and
" Ciphers and Constellations in Love with a Woman " (Fig. 2 b), has extracted that establish this series of
The shared basic element of paintings keynote, as shown in figure 3, and extract in paintings semantic figure, part is as shown in Figure 4.
Wherein, primary graphic element will frequently occur each position in painting canvas, it is written as to function (method) respectively.
Irregular cycle is formed using four Beziers, as shown in figure 5, a Bezier is by starting point A, D and control
Point B, C are determined, by adjusting the position at the control point B, C, can not be advised with the bending degree and shape of adjustment curve to draw out
Circle then can generate different size of irregular roundness by adjusting the size of radius parameter.The hourglass of wedge angle and fillet is then
It is similarly to pass through adjusting control point position and radius size and two by two Beziers and two rectilinear(-al)s intersected
The slope of straight line, we can generate of different sizes, variform wedge angle or fillet hourglass.Its schematic diagram is as shown in Figure 6.
Specifically, realizing that the algorithm of Fig. 5 is as follows：
Specifically, realizing that the algorithm of Fig. 6 is as follows：
And in the present embodiment semantic graphical information acquisition, can be identical as the mode of basic figure acquisition of information, such as
Artificial specified or computer is obtained according to preset rules.
S12, according to the division rule of the characteristic attribute, determine the affiliated level of the characteristic attribute, generate multiple mesh
Level is marked, each target tier includes the characteristic attribute of identical dimensional；
As shown in fig. 7, in the present embodiment, by way of layering, by basic figure information and semantic image information
It is handled one by one, wherein need the division rule according to characteristic attribute, the affiliated level of characteristic attribute is determined, e.g., at this
In embodiment, basic figure information is set as the first level, semantic graphical information is third level, then, this step can determine whether
First level and third level are target tier, also, multiple basic figure information are drawn in the first level, such as first
Random drawing basics graphical information on the painting canvas of level, such as " * " and line, and drawing the first layer for having basic figure information
On the painting canvas of grade, the placement location (position as shown in circle in figure) of semantic graphical information is determined according to preset algorithm, so
Afterwards by the random setting of semantic graphical information on above-mentioned placement location, that is, carried out stack combinations to multiple target tiers.
Specifically, as shown in figure 8, the present embodiment additionally provides a kind of division rule according to the characteristic attribute, determine
The affiliated level of the characteristic attribute generates the specific implementation step of multiple target tiers, as follows：
S81, the attribute information for determining semantic graphical information described in the target abstract painting, the attribute information includes institute
State the size, color and placement position of basic figure information；
S82, the basic figure information is drawn on default painting canvas, generates first object level；
S83, according to border circle algorithm, determine that the target area in the first object level, the target area are used for
Draw the semantic graphical information；
S84, the semantic graphical information is drawn on the target area, generate the second target tier；
S85, according to big vast filling algorithm, processing of tinting is carried out to second target tier, generates third target tier.
Wherein, in conjunction with Fig. 7, it is first determined size, color and the placement position of semantic graphical information, then, in default picture
Drawing basics graphical information on cloth forms the first object level with basic figure information, i.e. second, left side is drawn in Fig. 7
Cloth.
Then, according to border circle technology, specific region corresponding with semantic graphical information is selected in first object level,
The specific region is to place semantic graphical information.After specific region is determined, by semantic graphical information and the first mesh
Mark level is synthesized, and the second target tier is formed, and then, subsequent processing is carried out to the second target tier, such as tint, do it is old
And etc., third target tier is formed, such as the figure of the rightmost side in Fig. 7.
Specifically, present embodiments providing a kind of according to border circle algorithm, the target in the first object level is determined
The specific implementation in region, as shown in figure 9, including step：
S91, determine that multiple circles account for angle number in the first object level；
S92, angle number is accounted for according to, determines that the round position in the first object level is the target area
Domain；
The semantic graphical information is drawn on the target area correspondingly, described, including：
S93, it determines boundary of the target area as the semantic graphical information, the semantic graphical information is drawn
In the target area.
It can be achieved by the steps of based on the picture layout method of maximum cave bin packing algorithm incorporated by reference to Figure 10.Specifically
, using the round boundary as semantic figure as, irregular semantic figure is regarded to round processing of different sizes.Then, will justify
Shape is placed on some position in frame, if the circle placed in its certain adjacent both sides and frame or frame boundary
Want to cut, be then regarded as accounting for angle, accounts for the minimum range of the circle and the circle (or boundary) other than tangent circle (or boundary) at angle
For mistake！Reference source is not found., area S, by mistake！Reference source is not found.It is defined as the cave degree of a Corner-ocupying action；
Four angles can be accounted for by placing most actions for one, when it accounts for four angles, be considered as and accounted for cave, and cave degree is maximum at this time, value 1.In order to
Being placed in frame more efficiently does not wait circle, accounts for angle number according to cave degree successively every time, area of a circle S is selection preference strategy choosing
It selects a best Corner-ocupying action to case, until obtaining a feasible layout method.
It implements algorithm：
Except this, the present embodiment additionally provides a kind of determination process of semantic graphical information, as follows：
A) fundamental figure method is utilized, as point, line, circle carry out Basic graph drawing；
B) curve and irregular semantic graphic plotting are carried out using Bezier curve；
C) it tints to closed figure and is tinted using the big vast filling algorithm a little gradually spread outward out of closed figure.
Specifically, putting starting point coordinate into queue of tinting, it is successively read queue internal coordinate point, if the rgb value is
Its value is then changed to desired value (rgb value to be tinted) by background color value, is removed it queue and is put four point coordinates around it into team
Row；If point RGB is frame color value or target colour value, queue is removed it.Queue is that i.e. filling is to frame for sky, knot of tinting
Beam.
It is as follows that it implements algorithm：
According to above-mentioned steps and algorithm, it is capable of determining that semantic graphical information as shown in Figure 4.
S13, the synthesis target tier, generate target image.
Specifically, in the present embodiment, determining that the third target tier is the target tier.Then to the target
Level carries out doing old processing, generates the target image.
, can also be as shown in figure 11 except this, including step：
S111, instruction operational order of the user based on the target image is obtained；
S112, according to the instruction operational order, corresponding processing operation is carried out to the target image or is regenerated
The target image.
I.e., it is possible to which the degree of liking according to user chooses whether to regenerate new composograph.
Schematically,
1. according to distribution simulation method, precomputation is carried out first, selection will be plotted in several semantic figures of painting canvas, then
Size, position and the layout of semantic figure in painting canvas are determined using maximum cave bin packing algorithm, and are recorded in array.
2. giving painting canvas that background colour is arranged, painting canvas is divided into grid, and primary graphic element is pseudorandomly plotted in whole
On a painting canvas so that these basic elements for representing an array of stars are covered with entire painting canvas.
3. using the round hypothesis boundary as semantic figure, and using the size for recording semantic figure in step 1 and
Location information is grapheme with the basic element for occupying semantic graph position in the background colour circle covering step 1 of non-boundary
The drafting of shape and vacating space of tinting.
4. according to the location information in step 3, semantic figure is plotted in the region belonging to it respectively, flood filling is used in combination to calculate
Method is tinted to it, and design sketch is as shown in figure 12 after the completion of drawing and tinting.
5. finally carrying out the drafting of top layer shaded block and the processing of noise oldization, the generation work of whole picture abstract painting is completed.
As it can be seen that an embodiment of the present invention provides a kind of image generating method and device, it can be to the basic of target image
Pictorial element extracts, and is layered the semantic figure of integration, forms the new images with target image characteristics.
On the basis of the above embodiments, the present embodiment additionally provides a kind of video generation device, as shown in figure 13, packet
It includes：
First acquisition module 131, the characteristic attribute for obtaining target abstract painting, the characteristic attribute include basic figure
Information and semantic graphical information；
Determining module 132 determines the affiliated layer of the characteristic attribute for the division rule according to the characteristic attribute
Grade, generates multiple target tiers, and each target tier includes the characteristic attribute of identical dimensional；
Synthesis module 133 generates target image for synthesizing the target tier.
Optionally, video generation device provided in this embodiment can also include：
Second acquisition module, for obtaining instruction operational order of the user based on the target image；
Processing module, for according to the instruction operational order, to the target image carry out corresponding processing operation or
Regenerate the target image.
Optionally, determining module provided in this embodiment includes：
First determination unit, the attribute information for determining basic figure information described in the target abstract painting are described
Attribute information includes size, color and the placement position of the basic figure information；
First generation unit generates first object level for drawing the basic figure information on default painting canvas；
Second determination unit, it is described for according to border circle algorithm, determining the target area in the first object level
Target area is for drawing the semantic graphical information；
Second generation unit generates the second destination layer for drawing the semantic graphical information on the target area
Grade；
Third generation unit carries out processing of tinting for according to big vast filling algorithm to second target tier, generation the
Three target tiers.
Optionally, synthesis module provided in this embodiment includes：
Third determination unit, for determining that the third target tier is the target tier；
4th generation unit does old processing for being carried out to the target tier, generates the target image.
Optionally, the second determination unit provided in this embodiment includes：
First determination subelement, for determining that multiple circles account for angle number in the first object level；
Second determination subelement is used to account for angle number according to, determines the round position in the first object level
It is set to the target area；
Correspondingly, second generation unit includes：
Third determination subelement will be described for determining boundary of the target area as the semantic graphical information
Semantic graphical information is plotted in the target area.
Its operation principle refers to above method embodiment.
In conclusion an embodiment of the present invention provides a kind of image generating method, the feature of target abstract painting is obtained first
Attribute, the characteristic attribute include basic figure information and semantic graphical information；Then according to the division of the characteristic attribute
Rule determines the affiliated level of the characteristic attribute, generates multiple target tiers, and each target tier includes identical dimensional
Characteristic attribute；It is finally synthesizing the target tier, generates target image.As it can be seen that an embodiment of the present invention provides a kind of images
Generation method and device can extract the primary image element of target image, and be layered the semantic figure of integration, be formed
New images with target image characteristics.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with other
The difference of embodiment, just to refer each other for identical similar portion between each embodiment.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is said referring to method part
It is bright.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, depends on the specific application and design constraint of technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (10)
1. a kind of image generating method, which is characterized in that including：
The characteristic attribute of target abstract painting is obtained, the characteristic attribute includes basic figure information and semantic graphical information；
According to the division rule of the characteristic attribute, determines the affiliated level of the characteristic attribute, generate multiple target tiers, often
A target tier includes the characteristic attribute of identical dimensional；
The target tier is synthesized, target image is generated.
2. image generating method according to claim 1, which is characterized in that further include：
Obtain instruction operational order of the user based on the target image；
According to the instruction operational order, corresponding processing operation is carried out to the target image or regenerates the target figure
Picture.
3. image generating method according to claim 1, which is characterized in that described to be advised according to the division of the characteristic attribute
Then, the affiliated level for determining the characteristic attribute generates multiple target tiers, including：
Determine the attribute information of semantic graphical information described in the target abstract painting, the attribute information includes the foundation drawing
Size, color and the placement position of shape information；
The basic figure information is drawn on default painting canvas, generates first object level；
According to border circle algorithm, determine that the target area in the first object level, the target area are described for drawing
Semantic graphical information；
The semantic graphical information is drawn on the target area, generates the second target tier；
According to big vast filling algorithm, processing of tinting is carried out to second target tier, generates third target tier.
4. image generating method according to claim 3, which is characterized in that the synthesis target tier generates mesh
Logo image, including：
Determine that the third target tier is the target tier；
The target tier is carried out to do old processing, generates the target image.
5. image generating method according to claim 3, which is characterized in that it is described according to border circle algorithm, determine described in
Target area in first object level, including：
Determine that multiple circles account for angle number in the first object level；
Angle number is accounted for according to described, determines that the round position in the first object level is the target area；
The semantic graphical information is drawn on the target area correspondingly, described, including：
It determines boundary of the target area as the semantic graphical information, the semantic graphical information is plotted in the mesh
It marks in region.
6. a kind of video generation device, which is characterized in that including：
First acquisition module, the characteristic attribute for obtaining target abstract painting, the characteristic attribute include basic figure information with
And semantic graphical information；
Determining module determines the affiliated level of the characteristic attribute for the division rule according to the characteristic attribute, generates more
A target tier, each target tier include the characteristic attribute of identical dimensional；
Synthesis module generates target image for synthesizing the target tier.
7. video generation device according to claim 6, which is characterized in that further include：
Second acquisition module, for obtaining instruction operational order of the user based on the target image；
Processing module is used for according to the instruction operational order, to the corresponding processing operation of target image progress or again
Generate the target image.
8. video generation device according to claim 6, which is characterized in that the determining module includes：
First determination unit, the attribute information for determining semantic graphical information described in the target abstract painting, the attribute
Information includes size, color and the placement position of the basic figure information；
First generation unit generates first object level for drawing the basic figure information on default painting canvas；
Second determination unit, for according to border circle algorithm, determining the target area in the first object level, the target
Region is for drawing the semantic graphical information；
Second generation unit generates the second target tier for drawing the semantic graphical information on the target area；
Third generation unit, for according to big vast filling algorithm, carrying out processing of tinting to second target tier, generating third mesh
Mark level.
9. video generation device according to claim 8, which is characterized in that the synthesis module includes：
Third determination unit, for determining that the third target tier is the target tier；
4th generation unit does old processing for being carried out to the target tier, generates the target image.
10. video generation device according to claim 8, which is characterized in that second determination unit includes：
First determination subelement, for determining that multiple circles account for angle number in the first object level；
Second determination subelement is used to account for angle number according to, determines that the round position in the first object level is
The target area；
Correspondingly, second generation unit includes：
Third determination subelement, for determining boundary of the target area as the semantic graphical information, by the semanteme
Graphical information is plotted in the target area.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109241304A (en) * | 2018-08-16 | 2019-01-18 | 广州视源电子科技股份有限公司 | image processing method, device and equipment |
| CN111243378A (en) * | 2020-03-17 | 2020-06-05 | 广东智媒云图科技股份有限公司 | Drawing method and device based on fractal Brown motion model |
| CN115564656A (en) * | 2022-11-11 | 2023-01-03 | 成都智元汇信息技术股份有限公司 | Multi-graph merging and graph recognizing method and device based on scheduling |
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