CN204719773U - The image collecting device of calligraphy and painting Micro texture - Google Patents

The image collecting device of calligraphy and painting Micro texture Download PDF

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Publication number
CN204719773U
CN204719773U CN201520373134.8U CN201520373134U CN204719773U CN 204719773 U CN204719773 U CN 204719773U CN 201520373134 U CN201520373134 U CN 201520373134U CN 204719773 U CN204719773 U CN 204719773U
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China
Prior art keywords
calligraphy
image
microscope
painting
micro texture
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Expired - Fee Related
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CN201520373134.8U
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Chinese (zh)
Inventor
周炬明
高晓鸣
王东
杜弘
许思豪
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Shanghai New World Tourist Souvenir Co Ltd
Shanghai Jiaotong University
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Shanghai New World Tourist Souvenir Co Ltd
Shanghai Jiaotong University
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Abstract

The utility model provides a kind of image collecting device of calligraphy and painting Micro texture, comprise three-dimensional movement platform, microscope and computing machine, described microscope is fixedly connected in described three-dimensional movement platform, and described microscope, three-dimensional movement platform are all connected with described computing machine.Optimal characteristics point in calligraphy and painting Micro texture image can be located automatically by this harvester, and the automatic collection of calligraphy and painting Micro texture image is carried out in self-adjusting to the top of optimal characteristics point.

Description

The image collecting device of calligraphy and painting Micro texture
Technical field
The utility model relates to calligraphy and painting authenticity field, particularly relates to a kind of image collecting device of calligraphy and painting Micro texture.
Background technology
Anti-counterfeiting technology refers to the measure taked to reach false proof object, and it can accurately be discerned the false from the genuine within the specific limits, and the technology being not easily prevented from and copying.The false proof identification method of traditional calligraphy and painting mainly relies on the perception of expert to calligraphy and painting style, the aspect such as to wield the pen and judges, the maximum shortcoming of which is that subjective factor impact is too many, the discriminating means that lack objectively, can quantize.But along with progress and the development of science and technology, fraud technology is also day by day improve, especially calligraphy and painting aspect, owing to printing the raising of level, printed matter is enough to mix the spurious with the genuine on macroscopic form.Therefore use modern science and technology technological means carry out calligraphy and painting authenticity and calligraphy and painting false proof be very necessary.
Application number is disclose a kind of method for anti-counterfeit based on calligraphy and painting Micro texture in the Chinese invention patent instructions of CN103065109A, utilizes the uniqueness of rice paper texture, uniqueness and stability, achieves the robotization comparison of Micro texture image.This method for anti-counterfeit discloses the step choosing sampled point on genuine piece calligraphy and painting, specifically refers to choose sampled point on calligraphy and painting works, uses optical microscope by certain some amplification 100 times, gathers the Micro texture image of calligraphy and painting Micro texture, and stored in database.When needs are identified, amplify 100 times at sampled point, and gather calligraphy and painting Micro texture image, judged the true or false of calligraphy and painting by the similarity of comparison two width image.But the sharpness difference of the Micro texture image of different sampled point is not identical, and the calligraphy and painting Micro texture that gathers of microscope often ink paste and ink marks place clear, and fuzzy in rice paper blank space, therefore how to choose sampled point and seem most important.In above-mentioned utility model, because microscope magnification is higher, manual operation can bring comparatively big error, and movement may just cause Micro texture image completely different a little.Therefore a kind of acquisition method that automatically can locate in calligraphy and painting Micro texture and harvester is needed badly.
Utility model content
The shortcoming of prior art in view of the above, the technical problems to be solved in the utility model is the image collecting device providing a kind of calligraphy and painting Micro texture, this device can be located automatically to the optimal characteristics point in calligraphy and painting Micro texture image, and the automatic collection of calligraphy and painting Micro texture image is carried out in self-adjusting to the top of optimal characteristics point.
For achieving the above object, the utility model provides a kind of image collecting device of calligraphy and painting Micro texture, comprise three-dimensional movement platform, microscope and computing machine, described microscope is fixedly connected in described three-dimensional movement platform, and described microscope, three-dimensional movement platform are all connected with described computing machine.
Preferably, described microscope is hand-held microscope, and described microscopical upper end connects adaptive mirror, and described microscopical lower end is the switchable object lens of enlargement factor.
Preferably, described object lens comprise the three arrangement of mirrors heads that enlargement factor is 1 times, 10 times and 200 times.
Preferably, described adaptive mirror is provided with imageing sensor.
As mentioned above, the image collecting device of the calligraphy and painting Micro texture that the utility model relates to, there is following beneficial effect: can the optimal characteristics point in calligraphy and painting Micro texture image be located automatically by this harvester, and the automatic collection of calligraphy and painting Micro texture image is carried out in self-adjusting to the top of optimal characteristics point.
Accompanying drawing explanation
Fig. 1 is the structural representation of image collecting device.
Fig. 2 is microscopical mobile figure.
Fig. 3 is the deflection graph of the relative first global image A1 of the second calligraphy and painting global image A2.
Fig. 4 is the coordinate system of the second global image A2.
Fig. 5 is the coordinate system of the first topography A3.
Fig. 6 is the coordinate system of the second topography A4.
Fig. 7 is embodiment of the present utility model.
Element numbers explanation
1 three-dimensional movement platform
2 microscopes
21 adaptive mirror
22 object lens
3 computing machines
4 objective tables
A1 first global image
A2 second global image
A3 first topography
A4 second topography
B1, B2, B3 optimal characteristics point
Embodiment
By particular specific embodiment, embodiment of the present utility model is described below, person skilled in the art scholar the content disclosed by this instructions can understand other advantages of the present utility model and effect easily.
Notice, structure, ratio, size etc. that this instructions institute accompanying drawings illustrates, content all only in order to coordinate instructions to disclose, understand for person skilled in the art scholar and read, and be not used to limit the enforceable qualifications of the utility model, therefore the not technical essential meaning of tool, the adjustment of the modification of any structure, the change of proportionate relationship or size, do not affecting under effect that the utility model can produce and the object that can reach, still all should drop on technology contents that the utility model discloses and obtain in the scope that can contain.Simultaneously, quote in this instructions as " on ", D score, "left", "right", " centre " etc. term, also only for ease of understanding of describing, and be not used to limit the enforceable scope of the utility model, the change of its relativeness or adjustment, under changing technology contents without essence, when being also considered as the enforceable category of the utility model.
As shown in Figure 1, the utility model provides a kind of image collecting device of calligraphy and painting Micro texture, comprise three-dimensional movement platform 1, microscope 2 and computing machine 3, described microscope 2 is fixedly connected in described three-dimensional movement platform 1, and described microscope 2, three-dimensional movement platform 1 are all connected with described computing machine 3.The below of described microscope 2 is provided with objective table 4, the top of described objective table 4 is equipped with calligraphy and painting to be collected, described three-dimensional movement platform 1 can drive microscope 2 to move in three dimensions, microscope 2 by the digital data transmission of calligraphy and painting position of shooting to computing machine 3, the acquisition method that computing machine 3 is provided by the utility model according to the position of calligraphy and painting exports control signal, and microscope 2 adjusts position according to control signal and gathers the Micro texture image of calligraphy and painting.Use this device automatically can to locate the optimal characteristics point in calligraphy and painting Micro texture image, and the automatic collection of calligraphy and painting Micro texture image is carried out in self-adjusting to the top of optimal characteristics point.Calligraphy and painting Micro texture, comprises the attachment in material of calligraphy and painting material fibers Micro texture and pigment, prepared Chinese ink and diffuse texture.
Preferably, described microscope 2 is hand-held microscope, and described microscopical upper end connects adaptive mirror 21, and the lower end of described microscope 2 is the switchable object lens 22 of enlargement factor.Further, described object lens 22 comprise the three arrangement of mirrors heads that enlargement factor is 1 times, 10 times and 200 times, realize the amplification of the calligraphy and painting image under different condition.Further, described adaptive mirror 21 is provided with imageing sensor, and optical signalling is converted into analog current signal.
Below give a kind of embodiment of the present utility model:
As shown in Figure 7, described three-dimensional movement platform comprises base 11, on the pedestal 11 vertical pole 12 of arranging, described pole 12 is provided with liftable adjusting bracket 13, and described adjusting bracket 13 can rotate around described pole 12; The telescopic adjuster bar 14 of horizontally set on described adjusting bracket 13, one end of described adjuster bar connects microscope 2, described microscope 2 is connected with computing machine 3, and described adjusting bracket 13, described adjuster bar 14 are all connected with control system 5, and described control system 5 is connected with computing machine 3.
The utility model provides a kind of acquisition method of above-mentioned calligraphy and painting Micro texture, comprises the steps:
The enlargement factor of S1, setting microscope 2, takes the first global image A1 of calligraphy and painting by microscope 2.
S2, as shown in Figure 2, in the moving coordinate system of three-dimensional movement platform 1, by microscope 2 in X ' Y ' plane a mobile vectorial a=(X ' 1, Y ' 1), then take the second global image A2 of calligraphy and painting.
S3, as shown in Figure 3, in computing machine 3, above-mentioned first global image A1 and the second global image A2 to be placed in same image coordinate system, if the coordinate of a point in image coordinate system of the first global image A1 is (X 1, Y 1), the coordinate of corresponding point in image coordinate system of the second global image A2 is (X 2, Y 2), calculating the second global image A2 relative to the offset vector of the first global image A1 is b=(X 2-X 1, Y 2-Y 1), calculate the DUAL PROBLEMS OF VECTOR MAPPING relation in moving coordinate system and image coordinate system wherein | a| is the mould of vectorial a, | b| is the mould of vectorial b.This point is any one computing machine point that can identify on the calligraphy and painting image outline of shooting, preferably selects the profile angle point in the calligraphy and painting global image A1 lower left corner.
S4, as shown in Figure 4, in image coordinate system, determine the picture centre point coordinate of the second global image A2, be set to (X 4, Y 4), and utilize gradient of image and gray scale feature, adopt image processing algorithm, find the most obvious point of grey scale change in the second global image A2, as optimal characteristics point B1, if the coordinate of optimal characteristics point B1 is (X 3, Y 3), wherein gradient of image and gray scale feature refers to pixel and consecutive point grey scale change situation in image.
S5, three-dimensional movement platform 1 drive microscope 2 mobile in the X ' Y ' plane of moving coordinate system, move M* (X along X ' direction of principal axis 3-X 4), move M* (Y along Y ' direction of principal axis 3-Y 4), now microscope 2 arrives directly over optimal characteristics point B1.
S6, as shown in Figure 5, is enlarged into original n doubly, then takes the first topography A3 of calligraphy and painting, in image coordinate system, determine the center point coordinate of the first topography A3, be set to (X by the enlargement factor of microscope 2 5, Y 5), and utilize gradient of image and gray scale feature, adopt image processing algorithm, determine the coordinate of optimal characteristics point B2 in the first topography A3, be set to (X 6, Y 6).
S7, three-dimensional movement platform 1 drive microscope 2 mobile in the X ' Y ' plane of moving coordinate system, move M* (X along X ' direction of principal axis 5-X 6)/n, moves M* (Y along Y ' direction of principal axis 5-Y 6)/n, now microscope 2 moves to reach directly over optimal characteristics point B2.
S8, as shown in Figure 6, increases the enlargement factor of microscope 2 further, then takes the second topography A4 of calligraphy and painting.
S9, utilize gradient of image and gray scale feature, adopt image processing algorithm, find the most obvious point of grey scale change in the second topography A4, as optimal characteristics point B3, the Micro texture image at this optimal characteristics point B3 place and coordinate are saved in database.
Preferably, in step S1, S2, the enlargement factor of microscope 2 is 1, and in step s 6, the enlargement factor of microscope 2 is 10, and in step s 8, the enlargement factor of microscope 2 is 200.
Preferably, in step s 2, by microscope 2 in X ' Y ' plane a mobile vectorial a=(X ' 1, Y ' 1), then take the second global image A2 of multiframe calligraphy and painting continuously, multiframe calligraphy and painting second global image A2 is contrasted, can error be reduced when calculating mapping relations M in step s3.
Preferably, in step S4, S6, S9, because the environment of shooting is different, the intensity of light is had any different, the impact that the calligraphy and painting shot is subject to is larger, therefore the calligraphy and painting image taken can be carried out standardization processing by homomorphic filtering and histogram equalization, eliminate the impact that environmental factor is brought, then find out the coordinate of optimal characteristics point.
Preferably, in step S4, S6, S9, by the method for the calculating Harris angle point in image processing algorithm, find the most obvious point of grey scale change in calligraphy and painting image, as optimal characteristics point, wherein angle point is determined in the following way, to suppose in neighborhood of pixel points movable block region on any direction, if intensity there occurs acute variation, then the pixel of change place is angle point.
A kind of detecting step of Harris angle point is below provided:
(1) x direction template is used - 1 0 1 - 1 0 1 - 1 0 1 With y direction template - 1 - 1 - 1 0 0 0 1 1 1 Image moves, calculates original image gradient I in the horizontal and vertical directions x, I ywith gradient product I xy, then each pixel calculates matrix:
M = I x 2 I x I Y I x I Y I y 2
(2) gaussian filtering is done to image level and smooth, obtain new matrix, wherein w u,vrepresent that average is the two-dimensional Gaussian function of 0
H = M ⊗ w u , V
(3) calculate response function CRF corresponding to each pixel of original image, wherein 0.04 is general artificial setup parameter C R F = det ( H ) - 0.04 * trace 2 ( H ) = ( ( I x 2 I y 2 ) - ( I x I Y ) 2 ) - 0.04 * ( I x 2 + I y 2 ) 2 In practice when CRF is greater than given threshold value, this pixel is angle point, namely think that this dot image information is the abundantest, the pixel that the utility model uses the method that CRF can be selected maximum is optimal characteristics point.
When using this method to gather calligraphy and painting Micro texture image, precise positioning can be carried out to the optimal characteristics point in calligraphy and painting Micro texture image, and adjust the shift position of image collecting device, calligraphy and painting Micro texture image is automatically gathered using optimal characteristics point as image center.
Be 1 times, 10 times and 200 times for the enlargement factor of microscope 2, further describe using method of the present utility model by following examples:
The enlargement factor of S1, setting microscope 2 is 1 times, is taken the first global image A1 of calligraphy and painting by microscope 2.
S2, in the moving coordinate system of three-dimensional movement platform 1, by microscope 2 in X ' Y ' plane a mobile vectorial a=(X ' 1, Y ' 1), then take the second global image A2 of calligraphy and painting.
S3, in computing machine 3, above-mentioned first global image A1 and the second global image A2 to be placed in same image coordinate system, if the coordinate of a profile angle point in image coordinate system of the first global image A1 is (X 1, Y 1), the coordinate of corresponding profile angle point in image coordinate system of the second global image A2 is (X 2, Y 2), calculating the second global image A2 relative to the offset vector of the first global image A1 is b=(X 2-X 1, Y 2-Y 1), calculate the DUAL PROBLEMS OF VECTOR MAPPING relation in moving coordinate system and image coordinate system wherein | a| is the mould of vectorial a, | b| is the mould of vectorial b.
S4, in image coordinate system, determine the picture centre point coordinate of the second global image A2, be set to (X 4, Y 4), and utilize gradient of image and gray scale feature, calculate Harris angle point, find the most obvious point of grey scale change in the second global image A2, as optimal characteristics point B1, if the coordinate of optimal characteristics point B1 is (X 3, Y 3).
S5, three-dimensional movement platform 1 drive microscope 2 mobile in the X ' Y ' plane of moving coordinate system, move M* (X along X ' direction of principal axis 3-X 4), move M* (Y along Y ' direction of principal axis 3-Y 4), now microscope 2 arrives directly over optimal characteristics point B1.
S6, the enlargement factor of microscope 2 is adjusted to 10 times, then takes the first topography A3 of calligraphy and painting, in image coordinate system, determine the center point coordinate of the first topography A3, be set to (X 5, Y 5), and utilize gradient of image and gray scale feature, calculate Harris angle point, determine the coordinate of optimal characteristics point B2 in the first topography A3, be set to (X 6, Y 6).
S7, three-dimensional movement platform 1 drive microscope 2 mobile in the X ' Y ' plane of moving coordinate system, move M* (X along X ' direction of principal axis 5-X 6)/n, moves M* (Y along Y ' direction of principal axis 5-Y 6)/n, now microscope 2 moves to reach directly over optimal characteristics point B2.
S8, the enlargement factor of microscope 2 is adjusted to 200 times, then takes the second topography A4 of calligraphy and painting.
S9, utilize gradient of image and gray scale feature, calculate Harris angle point, find the most obvious point of grey scale change in the second topography A4, as optimal characteristics point B3, the Micro texture image at this optimal characteristics point B3 place and coordinate are saved in database.
In sum, the utility model effectively overcomes various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is illustrative principle of the present utility model and effect thereof only, but not for limiting the utility model.Any person skilled in the art scholar all without prejudice under spirit of the present utility model and category, can modify above-described embodiment or changes.Therefore, such as have in art and usually know that the knowledgeable modifies or changes not departing from all equivalences completed under the spirit and technological thought that the utility model discloses, must be contained by claim of the present utility model.

Claims (4)

1. the image collecting device of a calligraphy and painting Micro texture, it is characterized in that: comprise three-dimensional movement platform (1), microscope (2) and computing machine (3), described microscope (2) is fixedly connected in described three-dimensional movement platform (1), and described microscope (2), three-dimensional movement platform (1) are all connected with described computing machine (3).
2. image collecting device according to claim 1, it is characterized in that: described microscope (2) is hand-held microscope, described microscopical upper end connects adaptive mirror (21), and the lower end of described microscope (2) is the switchable object lens of enlargement factor (22).
3. image collecting device according to claim 2, is characterized in that: described object lens (22) comprise the three arrangement of mirrors heads that enlargement factor is 1 times, 10 times and 200 times.
4. image collecting device according to claim 2, is characterized in that: described adaptive mirror (21) is provided with imageing sensor.
CN201520373134.8U 2015-06-02 2015-06-02 The image collecting device of calligraphy and painting Micro texture Expired - Fee Related CN204719773U (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104866837A (en) * 2015-06-02 2015-08-26 上海交通大学 Collector of calligraphy and painting micro-texture image and collection method therefor
CN106709485A (en) * 2015-11-13 2017-05-24 尹毅 Evidence collection method and evidence collection verification instrument
WO2020252815A1 (en) * 2019-06-21 2020-12-24 湖南大学 Method and device for detecting thicknesses of coating layers of nuclear fuel particles

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104866837A (en) * 2015-06-02 2015-08-26 上海交通大学 Collector of calligraphy and painting micro-texture image and collection method therefor
CN104866837B (en) * 2015-06-02 2018-08-10 上海交通大学 The image collecting device and its acquisition method of calligraphy and painting Micro texture
CN106709485A (en) * 2015-11-13 2017-05-24 尹毅 Evidence collection method and evidence collection verification instrument
WO2020252815A1 (en) * 2019-06-21 2020-12-24 湖南大学 Method and device for detecting thicknesses of coating layers of nuclear fuel particles
US11728056B2 (en) 2019-06-21 2023-08-15 Hunan University Method for detecting thicknesses of coating layers of nuclear fuel particles

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Granted publication date: 20151021