CN108038819A - A kind of stroke generation method based on interactive mode - Google Patents

A kind of stroke generation method based on interactive mode Download PDF

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CN108038819A
CN108038819A CN201711338215.4A CN201711338215A CN108038819A CN 108038819 A CN108038819 A CN 108038819A CN 201711338215 A CN201711338215 A CN 201711338215A CN 108038819 A CN108038819 A CN 108038819A
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stroke
sample
mrow
msup
path
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CN108038819B (en
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杨丽洁
徐添辰
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Huaqiao University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/04Context-preserving transformations, e.g. by using an importance map

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Abstract

The present invention discloses a kind of stroke generation method based on interactive mode, comprises the following steps, and obtains an image comprising pattern as image object;A delineation operation is obtained on the drawing sample to prestore, the delineation operation includes at least one stroke sample;The elementary contour that user delineates on described image object is obtained, the elementary contour forms the preliminary elementary path of stroke to be generated;By being corrected to the outline strokes in the stroke sample, accurate stroke sample is obtained as candidate's stroke sample;Using candidate's stroke sample as reference, stroke form sample group is generated by way of mirror image and anti-path;Selection and the most matched form sample of the preliminary elementary path in the stroke form sample group, as final stroke sample;The final stroke sample is mapped on the preliminary elementary path, stroke of the generation with the drawing sample style.

Description

A kind of stroke generation method based on interactive mode
Technical field
The present invention relates to the Style Transfer technology of computer graphics non-photorealistic rendering, more particularly to one kind is based on interaction The stroke generation method of formula.
Background technology
Chinese freehand brushwork ink and wash is different from other drawing species (such as western canvas, watercolor), describes to have with very few strokes The scenery object or scene of body, express the creation intention and artistic individuality of artist.Enjoyable ink and wash is inhaled with its unique artistry Draw more and more people and learn creation ink and wash, include the drawing fan on no drawing techniques basis.Moreover, at present mostly Several graphics class business softwares (such as Adobe Illustrator, Adobe Photoshop, CorelDRAW etc.) supports China The Core Generator of artistic style.However, the paint of generation high quality usually requires the knowledge and skills of specialty, and it is existing Draw tool is required complicated and accurately entered in terms of drawing skill, meanwhile, generate the instrument of drawing (such as using Style Transfer Fig. 1 (b)) only by certain drawing style bulk migration to given object, seldom consider local stroke form and color.
Flowers ink and wash is one of primary categories in Chinese ink painting, and the important artistic that it represents oriental painting is special Sign.In other words, the artistic charm and value of ink and wash uniqueness are typically formd in flower-and-plant painting with pen, with black gimmick:It Stroke is curved or straight, bold or soft, wide or narrow, pale or simple and honest;Its mass colour passes through the mixing between water and ink Diffusion reaches the deep or light a variety of changes of dry and wet.Therefore, the diversity and complexity of stroke and mass colour, and the specialized skills of drawing Make the work that generation is painted rich in challenge.
In general, non-photorealistic rendering refers to by building different brush models, pen of the output with artistic style Draw, describe specific object as Freehandhand-drawing.In recent years, having some must learn with the relevant outstanding working value of non-photorealistic rendering Practise and use for reference.Mainly there is the work of following two aspects:
On the one hand it is the model based on physics:Lead to provide the user with naturally impression, the equipment as pen directly perceived Cross and the physical attribute of pen or other media is modeled, simulate the physical process of drawing.Wherein, Chu and Tai is in document [Chu N.S.H.,Tai C.-L.,“MoXi:Real-Time Ink Di spersion inAbsorbent Paper”,ACM Transactions on Graphics, vol.24 (3), pp.504-511,2005] in design one real-time painting system carry out mould Intend in the effect for having absorptive paper inking diffusion.Meanwhile Xu etc. document [Xu S., Tang M., LAU F., et al., “Virtual Hairy Brush for Painterly Rendering”,Graphical Models,vol.66(5), Pp.263-302,2004] propose a kind of novel for Chinese calligraphy and " the electronics brush " of drawing in, only determined with four attribute The justice essential characteristic of true brush.Lu etc. is in document [Lu J., Barnes C., DiVerdi S., et al., " Rea lBrush:Painting with Examples of Physical Media”,ACM Transactions on Graphics, vol.32 (4), pp.117,2013] painting system of an interactive data-driven is proposed in, it can profit New stroke is synthesized with the scan image of real media, avoids the calculating of the physical analogy of complexity.It is soft for digitlization drawing Part, such as Adobe brush packages, ArtRage, and Corel Painter, user is just as using real brush one Sample, operates mouse or digital pen is painted.However, for the user of no related drawing experience, if not to them Carry out the training on operation of such virtual unit, then easily and to operate this kind equipment exactly be complicated and difficult.On the other hand It is the model based on image:Compared with physical model, this class model avoids large-scale calculation amount and complicated manipulation.In mould In terms of intending west drawing, Herzmann etc. document [Hertzmann A., Jacobs C.E., Oliver N., et al., “Image analogies”,In:Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, New York, USA, pp.327-340,2001] in use " image Analogy " technical finesse photograph image, image of the generation with artistic effect, but in their experimental result, painted for China For picture, due to drawing different image-regions using different styles, algorithm cannot be distinguished by these regions, so being paid no attention to The stylized result thought.In terms of oriental painting is simulated, Xie etc. is in document [Xie N., Laga H., Saito S., " IR2s: interactive real photo to Sumi-e”,In:Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering,Annecy,France,pp.63- 71,2010] interactive system painted based on grass is devised in, the ink that real photo is converted to Japan draws drawing. Dong etc. is in document [Dong L., Lu S.and Jin X., " Real-time Image-based Chinese Ink Painting Rendering”,Multimedia Tools&Applications,vol.69(3),pp.605-620,2014] In the image with Chinese ink style converted the image into by texture mapping and Future Opportunities of Texture Synthesis.However, existing mould The model for intending oriental painting style mainly handles whole image, rather than forms the stroke of image, is so difficult to show China Paint rich and changeful art feature.
The content of the invention
For above-mentioned technical problem, the shortcomings of the prior art is overcome, the present invention provides a kind of based on interactive Stroke generation method;Be capable of providing series of algorithms instructs lines to be converted into certain by what the user on photo drew roughly The stroke of Chinese ink painting's style, realizes migrating to the effect of photograph image for Chinese ink style.
The present invention provides a kind of based on interactive stroke generation method, comprise the following steps, obtain one and include figure The image of case is as image object;
A delineation operation is obtained on the drawing sample to prestore, the delineation operation includes at least one stroke sample;
The elementary contour that user delineates on described image object is obtained, the elementary contour forms the first of stroke to be generated Walk elementary path;
By being corrected to the outline strokes in the stroke sample, accurate stroke sample is obtained as candidate's stroke Sample;Using candidate's stroke sample as reference, stroke form sample group is generated by way of mirror image and anti-path;
Selection and the most matched form sample of the preliminary elementary path in the stroke form sample group, as final Stroke sample;
The final stroke sample is mapped on the preliminary elementary path, generation is with the drawing sample style Stroke.
As a further improvement, the profile of the stroke sample by drawing a circle to approve out wraps the step of correction Include:
Determine to obtain candidate's pen most close to the profile of stroke edge in the stroke sample using opposite searching algorithm Draw sample;
Using candidate's stroke sample as reference, form sample group is generated by way of mirror image and anti-path;Wherein, Each form sample group includes at least four form samples, and four form samples include the candidate as reference Stroke sample, the mirror image stroke sample of candidate's stroke sample, the anti-path stroke of candidate's stroke sample and the time Select the anti-path stroke of stroke sample mirror image stroke.
As a further improvement, the selection in the form sample group and the most matched shape of the preliminary elementary path Aspect this as final stroke sample, including,
The elementary path is divided into some path sections, by energy theorem, is chosen in the form sample group With final stroke sample of the most matched form sample of the path sections as the path sections.
As a further improvement, it is described by energy theorem, chosen and the path sections in the form sample group The step of final stroke sample of the most matched form sample as the path sections, includes,
The energy theorem is in l2One energy term of definition space, for describing the outline strokes in the final stroke sample Displacement item and corresponding preliminary elementary path (path sections) displacement item total difference, and make the totality poor Different minimum, so as to automatically select the final stroke sample;
Wherein, the displacement item is used to describe the outline strokes in the final stroke sample and the preliminary elementary path Displacement between the relative position vector and stroke direction vector at upper any point.
As a further improvement, the style and features by the final stroke sample are mapped to the preliminary elementary path On step include,
Adjust the Aspect Ratio of the final stroke sample so that the final stroke sample and the corresponding path portion The Aspect Ratio divided is consistent.
As a further improvement, the style and features by the final stroke sample are mapped to the preliminary elementary path On step further include,
By the texture-mapping algorithm based on pixel, rasterisation filling region is realized and with from the final pen with scan line The pixel filling selected in picture is into path sections corresponding with the finally stroke.
As a further improvement, including:
With pixel described in following constraint:
a、pSAdjacent pixel there is distance pFThe nearest color value of neighborhood;
b、pSWith pFPosition with respect to its respective bone path is nearest;
c、pSWith pPThe average color of the pixel of surrounding is closest;
Wherein, pSIt is the best pixel selected in ink stroke region;pFFor any pixel in filling region;pPFor Pixel in input picture;And weigh constraints above condition, E by 3 energy termsb(pS) constraints a is corresponded to, p is describedSWith pF Between neighborhood territory pixel color data error summation;
Ep(pS) constraints b is corresponded to, p is describedSWith pFDegree of closeness between corresponding skeleton path respectively;
Ea(pS) constraints c is corresponded to, p is describedSWith pPAverage color using some R as pixel in the circle of radius respectively Difference;
Specifically meet the following formula:
Wherein, λ (p) represents the color value of p,It is pSNeighborhood territory pixel, and pi FIt is pFNeighborhood territory pixel,Skeleton Distance p on pathFNearest point is identicalUnder value,It is the correspondence on the skeleton path in the final stroke sample A bit, rSAnd rPIt is the half of the final stroke specimen width respectively, N represents that all pixels are total in the circle of specified radius R Number,Represent circle inherence pSNeighbouring pixel, andRepresent in photograph image, specifying p in circlePNeighbouring pixel.
As a further improvement, the texture-mapping algorithm based on pixel, using in l1Definition is by 3 energy in space Three a energy terms simultaneously are minimized to obtain best pixel by the energy equation that is formed of item, this step meets the following formula:
Wherein, α1, α2And α3Represent balance weight parameter.
Brief description of the drawings
In order to illustrate more clearly of technical scheme, attached drawing needed in embodiment will be made below Simply introduce, it should be apparent that, drawings in the following description are only some embodiments of the present invention, general for this area For logical technical staff, without creative efforts, other attached drawings can also be obtained according to these attached drawings.
Fig. 1 is the ink image and the ink image comparison figure of existing draw tool generation that the present invention generates, wherein (b) For the ink image of existing draw tool generation, (C) is the ink image that the present invention generates.
Fig. 2 is the overall flow figure of the method for the present invention.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work Embodiment, belongs to the scope of protection of the invention.
Referring to Fig. 2, Fig. 2 is the first embodiment of the present invention, there is provided a kind of stroke generation method based on interactive mode, Comprise the following steps:
S10, obtains an image comprising pattern as image object;
A delineation operation is obtained on the drawing sample to prestore, the delineation operation bag at least includes a stroke sample;
The picture material that image object is included, its pattern can be animal, plant etc., and the specific can be ox, horse, flower Grass, vegetation;The subject matter of the sample to prestore can also be animal, plant etc., and the subject matter of sample simultaneously needs and the figure in image object Case is consistent, for example, subject matter be flowers, the subject matter of pattern also needs to be consistent;In other words, image object is selected is User wants the template of the elementary path sketched the contours, and the stroke style feature for the elementary path that stroke sample, which is user, to be wanted.
S20, obtains the elementary contour that user delineates on described image object, and the elementary contour forms stroke to be generated Preliminary elementary path;
Here mentioned delineate can be not up to the effect completely the same with pattern elementary contour, can be a kind of rough Sketch the contours, while the intention of user can also be included wherein, such as add in pattern template the lines that are not present to preliminary base This path.
S30, by being corrected to the outline strokes in the stroke sample, obtains accurate stroke sample as candidate Stroke sample;Using candidate's stroke sample as reference, stroke form sample group is generated by way of mirror image and anti-path;
During stroke sample is drawn a circle to approve, because being only the region for having drawn a circle to approve desired stroke in stroke sample, this Non- stroke region (non-stroke region referred herein is the part for not including stroke lines) wherein occurs, such influence is The information that stroke sample areas includes not is that accurate outline strokes information also includes disturbing factor, is unfavorable for stroke sample The extraction of specific outline strokes in this, while to ensure efficiency and experience of the user when choosing stroke sample, this interference Factor is unavoidable, therefore the extraction of stroke sample profile is unavoidable in stroke sample.
In the present embodiment, determined using opposite searching algorithm in the stroke sample most close to the profile of stroke edge, Obtain candidate's stroke sample;
In opposite searching algorithm, the outline strokes in stroke sample are by a three curvilinear structures (CS,LS,RS) represent, its Middle CS(t)∈ISBy CS(t)=(LS(t)+RS(t))/2 obtain, and its domain FSIn LSAnd RSBetween by as candidate's stroke sample General profile, LSAnd RSIt is the two sides of the general profile;Then by side LSAnd RSIt is fitted to curve LS(t) and RS(t), And split the curve segment that it is identical quantity;It is assumed that the endpoint in each curve segment is as LS(t) and RS(t) feature on Point, will be from LS(t) it is directed toward RS(t) line orientations are defined as the positive direction ω (t) of search, respectively along ω (t) and-ω (t) sides To calculating the directional derivative D of each grey scale pixel valueAnd D, each pair characteristic point is finally reset to the direction derivative overall situation most On the position of small value;Adjust side LSAnd side RSInto most close to the profile of the stroke in stroke sample.
And using candidate's stroke sample as reference, form sample group, mould are generated by way of mirror image and anti-path Intend the different posture of candidate's stroke sample;Wherein, each form sample group includes at least four form samples, described in four Form sample includes the candidate's stroke sample, the mirror image stroke sample of candidate's stroke sample, the candidate as reference The anti-path stroke of the anti-path stroke of stroke sample and candidate's stroke sample mirror image stroke.
According to three curvilinear structures, meet formula (1), defined formula (1) is:
Wherein, if n is dry brush number of samples, a time for including 4n element is formed by 4 kinds of situations of each stroke Selected works close:Then 4 kinds of situations of stroke are followed successively by
S40, selection and the most matched form sample of the preliminary elementary path in the stroke form sample group, as Final stroke sample;
The preliminary elementary path is divided into some path sections, by energy theorem, in the form sample group Choose and final stroke sample of the most matched form sample of the path sections as the path sections.Candidate's stroke sample Form is relatively simple, causes to be difficult to be matched with preliminary elementary path, a variety of candidate's stroke forms of form sample group generation Add the matching probability of path sections and candidate's stroke.
Illustrated with reference to energy theorem, energy theorem is in l2Definition spaceDescriptionWith CPBetween displacement item δ Total difference, wherein, the displacement item be used to describe outline strokes in the final stroke sample with it is described preliminary basic Displacement on path between the relative position vector at any point and stroke direction vector.Then make the total difference minimum Change, so as to automatically select optimal stroke masterplate.Meet formula (2), defined formula (2) is:
Wherein, displacement item δ is calculated by formula (3), and defined formula (3) is:
Wherein,For any elementary path,ForArriveLine orientations,ForIt is upper any one PointRelative position vectorExtremelyMapping,For the displacement of closest point.
S50, the final stroke sample is mapped on the preliminary elementary path, and generation has the drawing sample wind The stroke of lattice.
The corresponding form sample of each path sections has been obtained by energy theorem in above-mentioned part, then will be per all the way The corresponding form sample substitution original route part of path portion, generation meet the profile of the selected stroke sample characteristics of user;With The Aspect Ratio of the final stroke sample is adjusted afterwards so that the length of the final stroke sample and the corresponding path sections Wide ratio is consistent;And by the texture-mapping algorithm based on pixel, rasterisation filling region is realized and with from institute with scan line The pixel filling selected in final stroke is stated into path sections corresponding with the finally stroke.
Adjusting the Aspect Ratio of the final stroke sample so that the final stroke sample and the corresponding path In partial Aspect Ratio process consistent, final stroke width wP(t) with the photo object on preliminary elementary path CP Length it is related to curvature.The wP(t) it is calculated by formula (4), defined formula (4) is:
Wherein, kw(t) be the final stroke specimen width of bi-directional scaling coefficient, LPAnd κP(t) represent preliminary basic respectively The length and curvature in path.Coefficient entry kw(t) it is calculated by formula (5), defined formula (5) is:
Wherein, κS(t) the preliminary elementary path C of tableS(t) curvature, LSRepresent CS(t) length.
By realizing rasterisation filling region and with from described final with scan line based on the texture-mapping algorithm of pixel During the pixel filling selected in stroke to path sections corresponding with the finally stroke, with described in following constraint Pixel:
a、pSAdjacent pixel there is distance pFThe nearest color value of neighborhood;
b、pSWith pFPosition with respect to its respective bone path is nearest;
c、pSWith pPThe average color of the pixel of surrounding is closest;
Wherein, pSIt is the best pixel selected in ink stroke region;pFFor any pixel in filling region;pPFor Pixel in input picture;And weigh constraints above condition by 3 energy terms:
Eb(pS) constraints a is corresponded to, p is describedSWith pFBetween neighborhood territory pixel color data error summation;
Ep(pS) constraints b is corresponded to, p is describedSWith pFDegree of closeness between corresponding skeleton path respectively;
Ea(pS) constraints c is corresponded to, p is describedSWith pPAverage color using some R as pixel in the circle of radius respectively Difference;
It meets the following formula:
Wherein, λ (p) represents the color value of p,It is pSNeighborhood territory pixel, andIt is pFNeighborhood territory pixel,Bone Distance p on frame pathFNearest point is identicalUnder value,
Be correspondence on the skeleton path in the final stroke sample a bit, rSAnd rPIt is described final respectively The half of stroke specimen width, N represent all pixels sum in the circle of specified radius R,Represent circle inherence pSNeighbouring picture Element, andRepresent in photograph image, specifying p in circlePNeighbouring pixel.
The texture-mapping algorithm based on pixel, using in l1The energy being made of 3 energy terms is defined in space Three energy terms simultaneously are minimized to obtain best pixel by equation, this step meets the following formula:
Wherein, α1, α2And α3Represent balance weight parameter.
Second embodiment of the invention provide the equipment based on interactive stroke generation include processor, memory and The computer program performed by the processor is stored in the memory and is configured as, the processor performs the meter Calculation machine program, for example, it is described based on interactive stroke generation program.
Exemplary, the computer program can be divided into one or more modules, one or more described mould Block is stored in the memory, and is performed by the processor, to complete the present embodiment.One or more modules can To be the series of computation machine programmed instruction section that can complete specific function, which is used to describing the computer program existing Based on the implementation procedure in interactive stroke generation terminal device.
The stroke generation equipment based on interactive mode can be desktop PC, notebook, palm PC and high in the clouds The computing devices such as server.
It is described to may include based on interactive stroke generation equipment, but it is not limited only to processor, memory, display.This Field technology personnel are appreciated that the schematic diagram is only based on the example of the stroke generation equipment of interactive mode, do not form To the restriction based on interactive stroke generation equipment, components more more or fewer than diagram can be included, or combine some Component, or different components, such as based on interactive stroke generation equipment can also include input-output equipment, network connects Enter equipment, bus etc..
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it His general processor, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field- Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic, Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor It is the control centre based on interactive stroke generation equipment Deng, the processor, utilizes various interfaces and connection The whole various pieces based on interactive stroke generation equipment.
The memory can be used for storing the computer program and/or module, and the processor is by running or performing The computer program and/or module being stored in the memory, and the data being stored in memory are called, described in realization Various functions based on interactive stroke generation equipment.The memory can mainly include storing program area and storage data Area, wherein, storing program area can storage program area, needed at least one function application program (such as sound-playing function, Text conversion function etc.) etc.;Storage data field can be stored uses created data (such as voice data, text according to mobile phone Word message data etc.) etc..In addition, memory can include high-speed random access memory, non-volatile memories can also be included Device, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other volatibility are consolidated State memory device.
Wherein, if the module based on interactive stroke generation integration of equipments is real in the form of SFU software functional unit Now and as independent production marketing or in use, it can be stored in a computer read/write memory medium.Based on so Understanding, the present invention realizes all or part of flow in above-described embodiment method, can also be instructed by computer program Relevant hardware is completed, and the computer program can be stored in a computer-readable recording medium, the computer journey Sequence is when being executed by processor, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes calculating Machine program code, the computer program code can be source code form, object identification code form, executable file or it is some in Between form etc..The computer-readable medium can include:Any entity or dress of the computer program code can be carried Put, recording medium, USB flash disk, mobile hard disk, magnetic disc, CD, computer storage, read-only storage (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software Distribution medium etc..It should be noted that the content that includes of the computer-readable medium can be according to making laws in jurisdiction Appropriate increase and decrease is carried out with the requirement of patent practice, such as in some jurisdictions, according to legislation and patent practice, computer Computer-readable recording medium does not include electric carrier signal and telecommunication signal.
It should be noted that device embodiment described above is only schematical, wherein described be used as separating component The unit of explanation may or may not be physically separate, can be as the component that unit is shown or can also It is not physical location, you can with positioned at a place, or can also be distributed in multiple network unit.Can be according to reality Need to select some or all of module therein to realize the purpose of this embodiment scheme.In addition, device provided by the invention In embodiment attached drawing, the connection relation between module represents there is communication connection between them, specifically can be implemented as one or A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, you can to understand And implement.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as Protection scope of the present invention.

Claims (8)

  1. It is 1. a kind of based on interactive stroke generation method, it is characterised in that comprise the following steps,
    An image comprising pattern is obtained as image object;
    A delineation operation is obtained on the drawing sample to prestore, the delineation operation includes at least one stroke sample;
    The elementary contour that user delineates on described image object is obtained, the elementary contour forms the preliminary base of stroke to be generated This path;
    By being corrected to the outline strokes in the stroke sample, accurate stroke sample is obtained as candidate's stroke sample This;Using candidate's stroke sample as reference, stroke form sample group is generated by way of mirror image and anti-path;
    Selection and the most matched form sample of the preliminary elementary path in the stroke form sample group, as final stroke Sample;
    The final stroke sample is mapped on the preliminary elementary path, pen of the generation with the drawing sample style Draw.
  2. 2. the according to the method described in claim 1, it is characterized in that, profile of the stroke sample by drawing a circle to approve out The step of being corrected includes:
    Determine to obtain candidate's stroke sample most close to the profile of stroke edge in the stroke sample using opposite searching algorithm This;
    Using candidate's stroke sample as reference, form sample group is generated by way of mirror image and anti-path;Wherein, it is each The form sample group includes at least four form samples, and four form samples include candidate's stroke as reference Sample, the mirror image stroke sample of candidate's stroke sample, the anti-path stroke of candidate's stroke sample and candidate pen Draw the anti-path stroke of sample mirror image stroke.
  3. 3. according to the method described in claim 1, it is characterized in that, the selection in the form sample group with it is described preliminary The most matched form sample of elementary path as final stroke sample, including,
    The elementary path is divided into some path sections, by energy theorem, selection and institute in the form sample group State final stroke sample of the most matched form sample of path sections as the path sections.
  4. 4. according to the method described in claim 3, it is characterized in that, described by energy theorem, in the form sample group Choose includes with the step of final stroke sample of the most matched form sample of the path sections as the path sections,
    The energy theorem is in l2One energy term of definition space, for describing the position of the outline strokes in the final stroke sample The total difference of the displacement item of transposition and corresponding preliminary elementary path (path sections), and make the total difference most Smallization, so as to automatically select the final stroke sample;
    Wherein, the outline strokes that the displacement item is used to describe in the final stroke sample are taken up an official post with the preliminary elementary path The displacement anticipated between the relative position vector and stroke direction vector of a bit.
  5. 5. according to the method described in claim 3, it is characterized in that, the style and features by the final stroke sample map Step on to the preliminary elementary path includes,
    Adjust the Aspect Ratio of the final stroke sample so that the final stroke sample and the corresponding path sections Aspect Ratio is consistent.
  6. 6. according to the method described in claim 1, it is characterized in that, the style and features by the final stroke sample map Step on to the preliminary elementary path further includes,
    By the texture-mapping algorithm based on pixel, rasterisation filling region is realized and with out of described final stroke with scan line The pixel filling selected is into path sections corresponding with the finally stroke.
  7. 7. according to the method described in claim 1, it is characterised in that it includes:
    With pixel described in following constraint:
    a、pSAdjacent pixel there is distance pFThe nearest color value of neighborhood;
    b、pSWith pFPosition with respect to its respective bone path is nearest;
    c、pSWith pPThe average color of the pixel of surrounding is closest;
    Wherein, pSIt is the best pixel selected in ink stroke region;pFFor any pixel in filling region;pPFor input Pixel in image;And weigh constraints above condition, E by 3 energy termsb(pS) constraints a is corresponded to, p is describedSWith pFBetween The summation of the color data error of neighborhood territory pixel;
    Ep(pS) constraints b is corresponded to, p is describedSWith pFDegree of closeness between corresponding skeleton path respectively;
    Ea(pS) constraints c is corresponded to, p is describedSWith pPDifference using some R as the average color of pixel in the circle of radius respectively It is different;
    Specifically meet the following formula:
    <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>E</mi> <mi>b</mi> </msub> <mo>(</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>)</mo> <mo>=</mo> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>D</mi> <mo>&amp;Element;</mo> <mo>{</mo> <mi>S</mi> <mo>,</mo> <mi>F</mi> <mo>}</mo> </mrow> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>p</mi> <mi>i</mi> <mi>D</mi> </msubsup> <mo>-</mo> <msup> <mi>p</mi> <mi>D</mi> </msup> <mo>|</mo> <mo>|</mo> <mo>&amp;le;</mo> <mn>1</mn> </mrow> </msubsup> <mi>&amp;lambda;</mi> <mo>(</mo> <msubsup> <mi>p</mi> <mi>i</mi> <mi>S</mi> </msubsup> <mo>)</mo> <mo>-</mo> <mi>&amp;lambda;</mi> <mo>(</mo> <msubsup> <mi>p</mi> <mi>i</mi> <mi>F</mi> </msubsup> <mo>)</mo> <mo>|</mo> <mo>|</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>E</mi> <mi>p</mi> </msub> <mo>(</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>)</mo> <mo>=</mo> <mo>|</mo> <mo>|</mo> <mfrac> <mrow> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>-</mo> <msup> <mi>C</mi> <mi>S</mi> </msup> <mrow> <mo>(</mo> <mover> <mi>t</mi> <mo>~</mo> </mover> <mo>)</mo> </mrow> </mrow> <mrow> <msup> <mi>r</mi> <mi>S</mi> </msup> <mrow> <mo>(</mo> <mover> <mi>t</mi> <mo>~</mo> </mover> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>-</mo> <mfrac> <mrow> <msup> <mi>p</mi> <mi>F</mi> </msup> <mo>-</mo> <msup> <mi>C</mi> <mi>P</mi> </msup> <mrow> <mo>(</mo> <mover> <mi>t</mi> <mo>~</mo> </mover> <mo>)</mo> </mrow> </mrow> <mrow> <msup> <mi>r</mi> <mi>P</mi> </msup> <mrow> <mo>(</mo> <mover> <mi>t</mi> <mo>~</mo> </mover> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>|</mo> <mo>|</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>E</mi> <mi>a</mi> </msub> <mo>(</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>)</mo> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <mo>|</mo> <mo>|</mo> <msubsup> <mi>&amp;Sigma;</mi> <mi>j</mi> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>p</mi> <mi>j</mi> <mi>S</mi> </msubsup> <mo>-</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>|</mo> <mo>|</mo> <mo>&amp;le;</mo> <mi>R</mi> </mrow> </msubsup> <mi>&amp;lambda;</mi> <mo>(</mo> <msubsup> <mi>p</mi> <mi>i</mi> <mi>S</mi> </msubsup> <mo>)</mo> <mo>-</mo> <msubsup> <mi>&amp;Sigma;</mi> <mi>j</mi> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>p</mi> <mi>j</mi> <mi>S</mi> </msubsup> <mo>-</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>|</mo> <mo>|</mo> <mo>&amp;le;</mo> <mi>R</mi> </mrow> </msubsup> <mi>&amp;lambda;</mi> <mo>(</mo> <msubsup> <mi>p</mi> <mi>j</mi> <mi>P</mi> </msubsup> <mo>)</mo> <mo>|</mo> <mo>|</mo> </mtd> </mtr> </mtable> </mfenced>
    Wherein, λ (p) represents the color value of p,It is pSNeighborhood territory pixel, andIt is pFNeighborhood territory pixel,Skeleton path On distance pFNearest point is identicalUnder value,It is the correspondence one on the skeleton path in the final stroke sample Point, rSAnd rPIt is the half of the final stroke specimen width respectively, N represents all pixels sum in the circle of specified radius R,Represent circle inherence pSNeighbouring pixel, andRepresent in photograph image, specifying p in circlePNeighbouring pixel.
  8. 8. according to the method described in claim 6, it is characterized in that,
    The texture-mapping algorithm based on pixel, using in l1The energy equation that definition is made of 3 energy terms in space is simultaneously Three energy terms are minimized to obtain best pixel, this step meets the following formula:
    <mrow> <munder> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> <mrow> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>&amp;Element;</mo> <msup> <mi>F</mi> <mi>S</mi> </msup> </mrow> </munder> <mo>&amp;lsqb;</mo> <msub> <mi>&amp;alpha;</mi> <mn>1</mn> </msub> <msub> <mi>E</mi> <mi>b</mi> </msub> <mrow> <mo>(</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>&amp;alpha;</mi> <mn>2</mn> </msub> <msub> <mi>E</mi> <mi>p</mi> </msub> <mrow> <mo>(</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>&amp;alpha;</mi> <mn>3</mn> </msub> <msub> <mi>E</mi> <mi>a</mi> </msub> <mrow> <mo>(</mo> <msup> <mi>p</mi> <mi>S</mi> </msup> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow>
    Wherein, α1, α2And α3Represent balance weight parameter.
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