CN1621241A - Random screening method - Google Patents
Random screening method Download PDFInfo
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- CN1621241A CN1621241A CN 200510000576 CN200510000576A CN1621241A CN 1621241 A CN1621241 A CN 1621241A CN 200510000576 CN200510000576 CN 200510000576 CN 200510000576 A CN200510000576 A CN 200510000576A CN 1621241 A CN1621241 A CN 1621241A
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Abstract
The present invention relates to random artistic screen printing method and belongs to the field of plate-making anti-fake printing technology. The present invention has improved plate grain designing elements, designed line pattern with even high randomness and capability of using any character as screen printing element. The method of the present invention has raised randomness of artistic screen printing, beautiful pattern, increased information complexity and thus raised anti-fake effect.
Description
Technical field
The invention belongs to plate-making anti-counterfeiting printing technology field, relate to anti-false design technology, be specifically related to a kind of method of random screening.
Background technology
Present anti-counterfeiting technology mainly is divided three classes: special material is false proof, and special process antiforge and plate-making are false proof.Different anti-counterfeiting technologies has all played certain anti-fake effect within the specific limits, to a certain extent, yet to increase considerably but be undoubtedly to the cost of product thereupon.Security pattern anti-counterfeiting technology as one of plate-making anti-counterfeiting technology is one of most important technology in the anti-counterfeit printing, compare with other anti-counterfeiting technology, it mainly has, and cost is low, antifalse effect good, contain much information and the combination of lines harmony easily obtains several characteristics such as artistic effect attractive in appearance.
The formative method of security pattern is the core of safety anti-fake shading design, and diverse ways has formed abundant false proof poster edge.The formative method of security pattern roughly can be divided into two classes:
One class is based on the formative method of figure.Mainly be by various security pattern figures complicated and changeable of various operative configuration such as the computing between all kinds of figures, arrangement, distortion and fillings.The group of formation spends effect in the zone as the periodicity curve is filled into as the unit; Utilize the shape hybrid technology between two figures, to produce a series of paths,, thereby obtain good visual effect with the progressive formation of reflection from a figure to another figure; Utilize the conformal transformation method that figure is mapped to a deformed region that shape is special, form special filter effect or the like.
The another kind of formative method that is based on image.In simple terms, come the effect of analog image exactly with various bargraphss.Serves as according to being out of shape with one group of vector lines with the gray-scale value of image.Such as the image relievo effect is to change the concave-convex sense that comes represent images by fluctuating up and down of lines; Image etching effect is that the thickness by lines changes the gray-level that comes represent images; The image refractive power then is that the level according to image generates indentation line or the like.
The art linked network is a kind of security pattern formative method based on image, linked network process in its simulate press, with the character and graphic is basic engineering " site " shape, comes the stereovision of represent images again according to the thickness of " site " with literal shape that design.The artistic linked network of randomness is the improvement of artistic screening technology, is a kind of new security pattern anti-counterfeiting technology.It allows the user to import different English characters as the linked network element, then these characters is necessarily arranged, and the thickness according to the character of these arrangements changes the stereovision that embodies original image at last.The art linked network is a kind of anti-copy technology of uniqueness, has extraordinary aesthetic value and antiforge function concurrently.But still there is certain limitation in this technology: the layout of character has very big regularity, and its direction and size are fixed; Can not be the Chinese character of complexity as the linked network element, because the profile more complicated of Chinese character, the outline line of extraction may be multiply connected region.
Summary of the invention
At the limitation that exists in the prior art, the objective of the invention is to propose a kind of method of random screening, this method can make the layout of character in the artistic linked network have more randomness, and can will comprise that any character of complicated Chinese character is as the linked network element, thereby realize making the false proof line image that designs have randomness more, antifalse effect is better.
In order to realize above-mentioned target, the technical solution used in the present invention is:
A kind of method of random screening may further comprise the steps:
(1) a given width of cloth need carry out the image of random screening;
(2) import selected character as the linked network element set;
(3) region R that boundary rectangle surrounded of computed image, the region R that boundary rectangle surrounded of computed image at random at the discrete point of the inside of plane domain R generation any amount, is carried out triangulation to this region R then;
(4) calculate the radius r and the center of circle O of each inscribed circle of a triangle, a certain elements A of picked at random comes this triangle inside from the linked network element set, and wherein the center of A and center of circle O overlap; If growing up when inscribed circle radius r of elements A boundary rectangle, the geometric transformation to A does equal proportion makes elements A be in leg-of-mutton inside fully; At last elements A is done the rotation of angle at random, travel through all triangles after, just can obtain the linked network shading object of one group of random alignment;
(5) skeleton extract done in each character in this linked network shading object, concrete grammar is the center framework outline line that the refinement two-value region method in the employing Digital Image Processing extracts each character, thereby obtain the center framework contour curve of each character, constitute new linked network shading object then;
Linked network shading object that (6) will newly obtain and image be by center-aligned, the scope that the designated character line weight changes, and the program of carries out image etching has just been finished the operation of random screening then.
Further, the quantity as the character of linked network element is 10 to 100 in this method step (2).
Character as the linked network element in the step (2) is English alphabet, numeral, Chinese character and combination thereof.Therefore, method of the present invention does not rely on the contour shape of character, and the type of character is more random, can be other any symbols of English alphabet, numeral or keyboard input.
The local preferential triangular mesh that in the step (3), the triangulation of plane domain R can adopt De Laonei (Delaunay) triangulation method, connect first method based on node generates method automatically, hint obliquely at method or based on the grid method with advance the general grid of wave-front method generation method.Preferably adopt De Laonei (Delaunay) triangulation method.
In step (3) and (4), each discrete point that the image boundary rectangle surrounds in the zone all is De Laonei (Delaunay) vertex of a triangle, by the characteristic of De Laonei (Delaunay) triangulation network as can be known: all can not comprise any other discrete point in the leg-of-mutton circumscribed circle of any one De Laonei (Delaunay); Be arranged in the inside of triangle gridding again owing to each character, thereby guarantee the not plyability of random alignment character.
In step (5), adopted character outline thinning method based on De Laonei (Delaunay) trigonometric ratio, skeleton extract done in each character in the linked network shading object.
Because step (3) is divided the scrambling of grid cell, can occur the bigger white space of area on the space of a whole page,, increase short-term bar and discrete point in blank space in order to embody the gray-scale value hierarchical information of image better.
Effect of the present invention is: on the one hand because the generation of the linked network object of artistic net hanging method of the present invention is not the array distribution that adopts traditional perpendicular array, but triangulation is randomly carried out in the rectangular area that image surrounded, linked network element in each triangle is a picked at random, also be not quite similar and put angle, therefore the layout of character has more randomness, not only direction can be any, can also carry out the variation of size dimension according to the zone of dividing, and then the linked network change of elements not only is embodied on the line weight, also shows on the area discrepancy of linked network element institute region; Do not rely on the outline of character on the other hand owing to the realization of the inventive method, so the type of character can be more random, can be other characters and the Chinese character of English alphabet, numeral, keyboard input.
Another effect of the present invention is: the artistic linked network that the present invention produces is done abundant conversion to liking according to the half-tone information of image, and the linked network element can be chosen arbitrarily, there is not any restriction in the type of the direction of linked network element and size and linked network element, therefore the effect of conversion makes pattern more attractive in appearance, simultaneously also increased the complexity of information greatly, thus the difficulty that has strengthened imitative duplicating and copied.
Description of drawings
Fig. 1 linked network element " side " word synoptic diagram
Fig. 2 makees the skeleton extract synoptic diagram to " side " word
The normal alignment synoptic diagram of Fig. 3 linked network element " side " word
The random alignment synoptic diagram of Fig. 4 linked network element " side " word
The local enlargement display figure of the normal alignment of Fig. 5 linked network element " S " character
The local enlargement display figure of the random alignment of Fig. 6 linked network element " side " word
Fig. 7 will carry out the image synoptic diagram of random screening
Fig. 8 nonrandomness art linked network synoptic diagram
Fig. 9 Fig. 7 is in conjunction with the artistic at random linked network synoptic diagram under the low precision of Fig. 4 realization
Figure 10 Fig. 7 is in conjunction with the artistic at random linked network synoptic diagram under the high precision of Fig. 4 realization
The local enlargement display figure of Figure 11 nonrandomness art linked network
Figure 12 local enlargement display figure of the random screening of linked network element " side " word realization
Figure 13 synoptic diagram of encoding
The process flow diagram of Figure 14 the method for the invention
Embodiment
The present invention will be further described below in conjunction with the drawings and specific embodiments:
Fig. 7 is the image that a given width of cloth need carry out artistic linked network, selects the butterfly diagram picture as original image herein.Linked network element in this example is English alphabet " S ", the result who generates one group of linked network shading object by arranged as shown in Figure 3, Fig. 5 is the local enlargement display of linked network shading object shown in Figure 3.With linked network shading object and the image alignment behind the quadrature solid matter, the scope that the designated character line weight changes, the program of carries out image etching then, about the specific implementation method of image etching referring to the document (QiWen Fa etc. that " utilize the trivector lines to realize the etching design ", computer-aided design (CAD) and graphics journal, 2004).Execute the effect that just can obtain nonrandomness art linked network after the image etching function, as shown in Figure 8, Figure 11 is the local enlargement display of nonrandom artistic linked network Fig. 8 effect.
From effect shown in Figure 11 as can be seen, the arrangement mode of nonrandom artistic linked network is more regular, and the size and Orientation of linked network element all can not change, and the linked network element mainly concentrates on English alphabet and numeral simultaneously.
As shown in figure 14, a kind of method of random screening may further comprise the steps:
An at first given width of cloth need carry out the image of random screening, in this example still with the butterfly diagram picture as original image, as shown in Figure 7.Select Chinese character " side " shown in Figure 1 as the linked network element.With " side " word is the linked network shading object that elementary cell generates one group of random alignment, and wherein linked network shading object can be arranged by the character of any type and obtain, and the size of these characters, direction all can change arbitrarily, and concrete grammar is:
(1) region R that boundary rectangle surrounded of computed image, at random the inside of plane domain R is generated the discrete point of any amount then, make up De Laonei (Delaunay) triangulation network by these discrete points, make each discrete point become De Laonei (Delaunay) vertex of a triangle.By the characteristic of De Laonei (Delaunay) triangulation network as can be known: all can not comprise any other discrete point in the leg-of-mutton circumscribed circle of any one De Laonei (Delaunay), this characteristic has guaranteed the not plyability of random alignment character
(2) radius r and the center of circle O of each inscribed circle of a triangle behind calculating De Laonei (Delaunay) triangulation, the picked at random elements A comes this triangle inside from the linked network element set, and wherein the center of A and center of circle O overlap; If growing up when inscribed circle radius r of elements A boundary rectangle, the geometric transformation to A does equal proportion makes elements A be in leg-of-mutton inside fully;
(3) when arranging character, can also rotate character to an angle arbitrarily, the direction and the big or small randomness that have so just guaranteed to arrange character;
(4) travel through all triangles after, just can obtain the linked network shading object of one group of random alignment.
Then skeleton extract done in each Chinese character " side " in the one group of linked network shading object that obtains above, obtain the center framework contour curve of each " side " word, thereby obtain one group of new linked network shading object.Concrete operation steps is:
(1) the above-mentioned one group of linked network object that obtains is being transformed a width of cloth bitmap side .bmp;
(2) then the bitmap side .bmp that generates is done pre-service, carry out the binaryzation operation;
(3) secondly adopt the algorithm-regional skeleton in a kind of refinement two-value zone in the Digital Image Processing to extract the center framework outline line of Chinese character " side ";
(4) according to the thought of the coding of the direction relations in the Digital Image Processing, follow the tracks of the center framework outline line, the line segment that tracking obtains is encoded according to direction, coding criterion as shown in figure 13;
(5) decoding forms center framework outline line figure, as shown in Figure 2;
(6) combination of the center framework outline line figure of each character generates linked network shading object;
Extract the linked network shading object of the center framework contour curve formation that obtains behind the skeleton, as shown in Figure 4, Fig. 6 is the amplification demonstration to its part.
With new linked network shading object and image alignment, the scope of specifying line weight to change, the program of carries out image etching then.Execute the effect that just can obtain random screening after the image etching function.Fig. 9 and Figure 10 are the effects of the artistic linked network at random that obtains under the different situation of line weight variation range, and Figure 12 is the local enlargement display of artistic linked network Figure 10 at random.
Figure 14 is an overall flow synoptic diagram of the present invention.
Above-mentioned steps be one preferred embodiment.Those skilled in the art be not difficult to draw other implementation method and without prejudice to overall thought of the present invention.
Wherein, the triangulation of image boundary rectangle institute region can also adopt additive method, as hint obliquely at method, based on the grid method with advance the general grid of wave-front method generation method.
Wherein, the skeleton extract algorithm of Chinese character can also adopt other skeleton extract model, as Medial-Axis Transformation method, zone of influence skeleton method with based on the morphology skeleton extract algorithm of maximum disk.
Claims (8)
1. the method for a random screening may further comprise the steps:
(1) a given width of cloth need carry out the image of random screening;
(2) import selected character as the linked network element set;
(3) region R that boundary rectangle surrounded of computed image at random at the discrete point of the inside of plane domain R generation any amount, is carried out triangulation to this region R then;
(4) calculate the radius r and the center of circle O of each inscribed circle of a triangle, a certain elements A of picked at random comes this triangle inside from the linked network element set, and wherein the center of A and center of circle O overlap; If growing up when inscribed circle radius r of elements A boundary rectangle, the geometric transformation to A does equal proportion makes elements A be in leg-of-mutton inside fully; At last elements A is done the rotation of angle at random, travel through all triangles after, just can obtain the linked network shading object of one group of random alignment;
(5) skeleton extract done in each character in this linked network shading object, concrete grammar is the center framework outline line that the refinement two-value region method in the employing Digital Image Processing extracts each character, thereby obtain the center framework contour curve of each character, constitute new linked network shading object then;
Linked network shading object that (6) will newly obtain and image be by center-aligned, the scope that the designated character line weight changes, and the program of carries out image etching has just been finished the operation of random screening then.
2. the method for a kind of random screening as claimed in claim 1 is characterized in that: the quantity as the character of linked network element in the step (2) is 10 to 100.
3. as the method for claim 1 or 2 described a kind of random screenings, it is characterized in that: the character as the linked network element in the step (2) is English alphabet, numeral, Chinese character and combination thereof.
4. the method for a kind of random screening as claimed in claim 1, it is characterized in that: the local preferential triangular mesh that in step (3), the triangulation of plane domain R adopts De Laonei (Delaunay) triangulation method, connect first method based on node generates method automatically, hint obliquely at method or based on the grid method with advance the general grid of wave-front method generation method.
5. as the method for claim 1 or 4 described a kind of random screenings, it is characterized in that: in step (3), the triangulation of plane domain R adopts De Laonei (Delaunay) triangulation method.
6. the method for a kind of random screening as claimed in claim 5, it is characterized in that: in step (3) and (4), each discrete point all is De Laonei (Delaunay) vertex of a triangle, by the characteristic of De Laonei (Delaunay) triangulation network as can be known: all can not comprise any other discrete point in the leg-of-mutton circumscribed circle of any one De Laonei (Delaunay); Be arranged in the inside of triangle gridding again owing to each character fully, thereby guarantee the not plyability of random alignment character.
7. the method for a kind of random screening as claimed in claim 6 is characterized in that: in step (5), adopt the character outline thinning method based on De Laonei (Delaunay) trigonometric ratio, skeleton extract done in each character in the linked network shading object.
8. as the method for claim 1,2 or 4 described a kind of random screenings, it is characterized in that: because step (3) is divided the scrambling of grid cell, the bigger white space of area can appear on the space of a whole page, in order to embody the gray-scale value hierarchical information of image better, increase short-term bar and discrete point in blank space.
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| CN 200510000576 CN100507949C (en) | 2005-01-07 | 2005-01-07 | Random screening method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101231758B (en) * | 2007-09-17 | 2010-09-08 | 北大方正集团有限公司 | Method and apparatus for generating safety shading in plate making anti-forgery |
| CN101192307B (en) * | 2006-11-17 | 2012-05-23 | 鸿富锦精密工业（深圳）有限公司 | Point cloud triangular topological relations construction method |
| CN103202565A (en) * | 2013-01-09 | 2013-07-17 | 福建睿能电子有限公司 | Method for plate-making formed sleeving picture |
| CN103373044A (en) * | 2012-04-27 | 2013-10-30 | 北大方正集团有限公司 | Method and device for network-attached processing |
| CN113059940A (en) * | 2021-03-18 | 2021-07-02 | 深圳新宏泽包装有限公司 | Anti-counterfeiting printing method |
-
2005
- 2005-01-07 CN CN 200510000576 patent/CN100507949C/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101192307B (en) * | 2006-11-17 | 2012-05-23 | 鸿富锦精密工业（深圳）有限公司 | Point cloud triangular topological relations construction method |
| CN101231758B (en) * | 2007-09-17 | 2010-09-08 | 北大方正集团有限公司 | Method and apparatus for generating safety shading in plate making anti-forgery |
| CN103373044A (en) * | 2012-04-27 | 2013-10-30 | 北大方正集团有限公司 | Method and device for network-attached processing |
| CN103373044B (en) * | 2012-04-27 | 2015-07-22 | 北大方正集团有限公司 | Method and device for network-attached processing |
| CN103202565A (en) * | 2013-01-09 | 2013-07-17 | 福建睿能电子有限公司 | Method for plate-making formed sleeving picture |
| CN113059940A (en) * | 2021-03-18 | 2021-07-02 | 深圳新宏泽包装有限公司 | Anti-counterfeiting printing method |
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| CN100507949C (en) | 2009-07-01 |
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