CN109191145A - For carrying out the database building method and art work age method of discrimination of age differentiation to the art work - Google Patents
For carrying out the database building method and art work age method of discrimination of age differentiation to the art work Download PDFInfo
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Abstract
The present invention, which discloses, provides a kind of database building method and art work age method of discrimination for being used to carry out the art work age differentiation being easily achieved, and for the database building method to art work progress age differentiation, it includes the following steps: that (1) chooses same age, same type, at least two art work samples of style；(2) total view field image is extracted；(3) database is established；Art work age method of discrimination it include the following steps: that I, uses above-mentioned established database；II, extracts the image on the art work to be determined；III, analyzes the image saved in the image and database on the art work to be determined of extraction using image recognition technology；IV, judgement.
Description
Technical field
The present invention relates to art work identification technology field more particularly to a kind of numbers for art work progress age differentiation
According to library method for building up and art work age method of discrimination.
Background technique
The art work includes the utensils such as calligraphy and painting, ironware, wooden, ceramic, since the art work itself has high value,
Especially for the rarity that ancient times is handed down, even more liked by more people, exactly because this reason, current antiques and collection city
Occur the fakements of much imitated genuine pieces on field, undesirable extracts sudden huge profits by sale fakement, and after buyer's purchase by
Great spirit and property loss；Therefore, it is registered as to the identification of the art work and to genuine piece effective information very urgent
Thing, but to the identification of the art work true and false, mainly there are three groups at present: 1, it with literature research is leading academism researcher,
2, using museum collection and full-scale investigation as the Wen Bo expert of main task, 3, clap field, trade market is based oneself upon with eyesight
Expert, three groups have his own strong points, are complementary to one another.However, different groups with personal since the angle for seeing problem is different, for
The identification of historical relics or the art work is it sometimes appear that disagreement, and in the case where being unable to reach common recognition, bone of contention is finally past
Toward in the contention that can fall on right of speech, it will appear the judgement of mistake for the judgement of an art work in such cases.
With the progress of science, current imaging technique plays an important role in every field, various detection sides
Method and display means tend to it is more accurate, more intuitive, more perfect to facilitate people observe object tissue, Knowing material structure,
Its development is the result that physics, mathematics electronics, computer science and multiple subjects be combined with each other.And optical tomography skill
Art is a kind of new to carry out object tissue, contactless, the Noninvasive tomographic imaging of microscopic structure.
Face recognition technology is the face feature based on people, and the facial image or video flowing to input extract each face
Middle contained identity characteristic, and it is compared with known face, to identify the identity of each face.
Image recognition also makes image re-recognize, and is a key areas of artificial intelligence, in image recognition, image recognition skill
For art based on the main feature of image, each image has its feature, and such as letter A has a point, and P, which has, to be enclosed and the center of Y
There is a acute angle etc., discriminance analysis can be carried out to it by the operation of computer-internal program by these features.
It therefore, then can be art work expert's conclusion if there is a kind of identification for serving the art work by modern science
Strong theoretical foundation is provided.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, adapt to reality and need, provide a kind of use being easily achieved
In the database building method and art work age method of discrimination that carry out age differentiation to the art work.
In order to achieve the object of the present invention, the technical scheme adopted by the invention is as follows:
A kind of database building method for art work progress age differentiation is disclosed, it includes the following steps:
(1) same to age, same type, at least two art work samples with style are chosen；
(2) it is chosen respectively on each art work sample by electron microscope and extracts the image at least one standard point；
(3) image extracted at standard point is saved and establishes standard database.
Image at standard point is made of total view field image, the visual field that total view field image is from top to bottom distributed by least two layers
Image composition.
In step (3), total view field image acquisition methods are as follows:
A) microscope determines focus；
B) first layer view field image is extracted
C) scanning downwards, extracts second layer view field image, and second layer view field image is located at immediately below first layer view field image；
D) repeat step c, successively extract third layer view field image ... N+1 layer view field image, N are nature more than or equal to 2
Number, N+1 layers of view field image are located at the underface of n-th layer view field image.
Above layers view field image is made of several sub- view field images respectively, and each layer view field image acquisition methods are as follows:
I, constructs first layer view field image, in the sub- view field image of center extraction the 1st of first layer view field image, saves the 1st son view
Field picture；
II, in the sub- view field image of edge extracting the 2nd of the 1st sub- view field image, saves the 2nd centered on the 1st sub- view field image
Sub- view field image, wherein merge into the 1st sub- view field image list after the imbricate of the 2nd sub- view field image and the 1st sub- view field image
Member；
III, saves the 3rd sub- view field image, the 3rd sub- visual field in the sub- view field image of edge extracting the 3rd of the 1st sub- view field image unit
The 2nd sub- view field image unit is merged into after the imbricate of image and the 1st sub- view field image unit；
IV, repeats step III, constructs the sub- view field image unit of M, until the area and first layer of the sub- view field image unit of M regard
The area of field picture is identical, and M is the natural number greater than 2, saves the 1st to M+1 view field image,
V, camera lens moves down, and constructs second layer view field image in the underface of first layer view field image；
VI, repeats the extraction that step I completes second layer view field image to V, saves the 1st to M+1 in second layer view field image
View field image；
VII, repeat step VI, be sequentially completed the extraction of N+1 layers of view field image, and save respectively in every layer of view field image the 1st
To M+1 view field image；
The standard database is made of (N+1) * (M+1) * K images, and the K is the standard point number extracted.
The invention also discloses a kind of art work age method of discrimination, it includes the following steps:
The standard database that I, is established using claim 1；
II, chooses at least one standard point on the surface of the art work to be discriminated；
III, to image zooming-out is carried out at standard point, extracts several sub- view field images according to method shown in step (3)；
IV, is compared several sub- view field images using image recognition technology with the picture in standard database one by one, if
Picture comparison success rate in dry sub- view field image and standard database is greater than 80%, then can determine whether the art work to be determined with
Standard database corresponding art work sample category same year generation.
The beneficial effects of the present invention are:
The present invention using multiple same dynasties, same to style, same type art work sample as the extraction sample of standard database, pass through electricity
Sub- electron microscope is left when microcosmic upper extraction dynasty is in production to have exclusive image, and by existing cloud computing
Processing capacity establishes database to the image of extraction, this standard database the subsequent art work examination in can be used as judge according to
According to, can be with initial statistical in judgement by using the cumulative of the existing basic technology such as image recognition technology and recognition of face
Standard database compares, and whether the art work that can need to be screened from microcosmic upper judgement belongs to the art work sample of initial extraction
In same year generation, may be implemented to serve by modern science and technology in art work identification in this way, mention for the identification of historical relic
For reliable, strong foundation.
Detailed description of the invention
Fig. 1 is the single layer view field image schematic diagram of construction method in the method for the present invention；
Fig. 2 is total view field image schematic diagram of construction method in the method for the present invention；
Fig. 3 is multiple Ming Dynasties into change blue and white porcelain tile sample；
Fig. 4 is image (the first layer view field image to layer 5 view field image at a certain position on the porcelain obtained by this method
Image after merging):
Fig. 4-01 is first layer view field image corresponding with Fig. 4；
Fig. 4-02 is second layer view field image corresponding with Fig. 4；
Fig. 4-03 is third layer view field image corresponding with Fig. 4；
Fig. 4-04 is the 4th layer of view field image corresponding with Fig. 4；
Fig. 4-05 is layer 5 view field image corresponding with Fig. 4；
Fig. 5 is image (the first layer view field image to layer 5 view field image at a certain position on the woodenware obtained by this method
Image after merging):
Fig. 5-01 is first layer view field image corresponding with Fig. 5；
Fig. 5-02 is second layer view field image corresponding with Fig. 5；
Fig. 5-03 is third layer view field image corresponding with Fig. 5；
Fig. 5-04 is the 4th layer of view field image corresponding with Fig. 5；
Fig. 5-05 is layer 5 view field image corresponding with Fig. 5；
Fig. 6 is image (the first layer view field image to layer 5 view field image at a certain position on the jadeware obtained by this method
Image after merging):
Fig. 6-01 is first layer view field image corresponding with Fig. 6；
Fig. 6-02 is second layer view field image corresponding with Fig. 6；
Fig. 6-03 is third layer view field image corresponding with Fig. 6；
Fig. 6-04 is the 4th layer of view field image corresponding with Fig. 6；
Fig. 6-05 is layer 5 view field image corresponding with Fig. 6；
Fig. 7 is image (the first layer view field image to layer 5 view field image at a certain position on the calligraphy and painting obtained by this method
Image after merging):
Fig. 7-01 is first layer view field image corresponding with Fig. 7；
Fig. 7-02 is second layer view field image corresponding with Fig. 7；
Fig. 7-03 is third layer view field image corresponding with Fig. 7；
Fig. 7-04 is the 4th layer of view field image corresponding with Fig. 7；
Fig. 7-05 is layer 5 view field image corresponding with Fig. 7.
Specific embodiment
Present invention will be further explained below with reference to the attached drawings and examples:
Embodiment 1: it is a kind of for carrying out the database building method of age differentiation to the art work, referring to Fig. 1, Fig. 2.
It includes the following steps:
(1) same to age, same type, at least two art work samples with style are chosen, this art work sample is first in selection
It should be determined as genuine piece；When whether determine art work sample is genuine piece (i.e. with the affiliated dynasty whether consistent), tradition can be used
Expert on historical relics's identification and the mode that chemical component is done by third party testing agency and trace element analysis combines, only verification retrieval
Expert and third party testing agency, which determine, just can be used as sample use when art work sample is genuine piece.
(2) multiple standard points are chosen respectively on multiple art work samples surface, this standard point selection quantity is more, the later period
The accuracy rate of comparative analysis is higher, then, passes through the image at electron microscope extraction standard point；Image at this standard point by
Total view field image is constituted, and the view field image that total view field image is from top to bottom distributed by least two layers forms, each layer view field image
It is made of respectively several sub- view field images.
Be illustrated by taking following data as an example with explanation, the present embodiment for ease of understanding: total view field image is by five layers by upper
View field image to lower distribution forms, and each layer view field image is made of 96 sub- visual field pictures, wherein total view field image, each layer
The area of view field image is 2mm*2mm, and the area of each sub- view field image in each layer view field image is 0.2mm*0.3mm.
Specific step is as follows for total view field image extraction at standard point in step (2):
A) microscope determines focus.
B) 96 images in first layer view field image are extracted, steps are as follows:
I, constructs first layer view field image, in the sub- view field image of center extraction the 1st of first layer view field image；
II, in the sub- view field image of edge extracting the 2nd of the 1st sub- view field image, saves the 2nd centered on the 1st sub- view field image
Sub- view field image, wherein merge into the 1st sub- view field image list after the imbricate of the 2nd sub- view field image and the 1st sub- view field image
Member, the imbricate 1mm of the 2nd sub- view field image and the 1st sub- view field image；
III, saves the 3rd sub- view field image, the 3rd sub- visual field in the sub- view field image of edge extracting the 3rd of the 1st sub- view field image unit
Merge into the 2nd sub- view field image unit after the imbricate of image and the 1st sub- view field image unit, the 3rd sub- view field image and the
The imbricate 1mm of 1 sub- view field image unit；
IV, repeats step III, the 95th sub- view field image unit is constructed, at this point, the 95th sub- view field image unit is by 96 sub- visual fields
Image is composed, and the area of the sub- view field image unit in the 95th at this time is identical as the area of first layer view field image, so far, can
The extraction for completing 96 images in first layer view field image, then saves 96 images in this first layer view field image.
C) camera lens moves down 0,1mm, scans downwards, extracts second layer view field image according to the same method of step b)
96 interior images, second layer view field image are located at immediately below first layer view field image.
D) step c is repeated, 96 images in third layer visual field, 96 images in the 4th layer of visual field, the are sequentially completed
The extraction of 96 images in five layers of visual field.
(3) standard database is saved and is established to the 96*5*K=480*K images extracted at standard point, K is to extract
Standard point number.The information of 480*K images is contained in this database, can be used as the foundation of subsequent judgement.
Embodiment 2, a kind of art work age method of discrimination, this method based on the database that embodiment 1 is established,
In differentiation, it includes the following steps:
The standard database that I, is established using embodiment 1；
II, chooses multiple standard points on the surface of the art work to be discriminated；
III, is according to method shown in step b) to step d) in embodiment 1 to progress image at the standard point on the art work to be discriminated
It extracts, extracts several sub- view field images；
IV, using image recognition technology or face recognition technology by several the sub- view field images extracted on the art work to be discriminated by
One compares with the 480*K picture in standard database, if several the sub- visual fields extracted on the art work to be discriminated
Picture comparison success rate in image and standard database is greater than several the sub- visual field figures extracted on the 80%(art work to be discriminated
80% as in compares successfully), then it can determine whether the art work to be determined art work sample category same year corresponding with standard database
In generation, can determine whether that the art work to be discriminated is not belonging to art work sample corresponding to standard database if comparison success rate is lower than 80%
Same year generation, it shall be noted that when, by image recognition technology or face recognition technology to sub- view field image and mark in this step
It is that the feature in sub- view field image is (as round, rectangular, convex in what is showed in image when picture in quasi- database compares
Rise, the features such as shrinkage pool) extract after compared with all features in pictures all in standard database, if in sub- view field image
Feature can then belong to and compare successfully on the Characteristic Contrast in picture in standard database, if the feature in sub- view field image
Same feature cannot be found in feature in all pictures in standard database, then belong to comparison failure.
The foundation of the method for the present invention design is, due to production art product technological level at that time and production method, materials and
Specific factor at that time just causes the distinctive location and shape information of these in extracted image, and these are characterized in passing through electricity
What sub- microscope extracted after amplifying nearly thousand times, although and fake producer can make in appearance it is identical counterfeit with this art work sample
Product, but the feature for having in above-mentioned image can not be caused on microcosmic, therefore, by being known to the art work to be determined using image
Other or face recognition technology can carry out the comparative analysis of feature, can determine that the art work to be determined is with standard database with this
It is no to belong to same year generation.
With Fig. 4, for Fig. 4-01 to Fig. 4-05, Fig. 4, Fig. 4-01 to Fig. 4-05 are shown to be to mention by the method for the invention
Take the Ming Dynasty of acquisition at the picture changed on blue and white porcelain porcelain, this pond pool for mainly using Loping District, Northeast Kiangsi county to produce at blue and white tile is changed
Blueness, also referred to as equality are green, and the naughty training of vital essence of colorant is thin, and impure less, color development is soft simple and elegant, ash are dodged in basket, colour generation is highly stable, flat
It is quiet, quite there are the black painting style lattice of water, it is exceptionally free from vulgarity with pure white gentle tire axis and very thin decorative pattern phase contrast.But often because enamel is plump,
Blue and white color is light, and has enveloped in mist indistinct phenomenon.Especially show the most prominent with the blue and white money tone of foot.Cheng Huaqing
Fancy rule is very thin, and multi-purpose double hooking items sketch the contours pattern and then rendered in pattern, and the dense pen of double hookings renders light pen,
Thus it is burnt into works colour generation light grace mostly, this is pure white at the blue and white tile tire matter of change, fine and closely woven, carcass is beautiful and frivolous, has
Be similar to tread flaking.Glazing is pure white fertile, and enamel is unique, and profit such as congealed fat, be translucent shape, if meeting x ray fluoroscopy x, may be seen indistinctly tire
Body glows light flesh pink, and this glaze colours is into an important feature for changing blue-and-white porcelain；Wherein, Fig. 4 is five layers of visual field figure
As from top to bottom arranging total view field image after merging according to depth when extracting, five pictures of Fig. 4-01 to Fig. 4-05 are respectively
Five pictures corresponding to first layer view field image to layer 5 view field image.
As shown in figure 3, Fig. 3 is multiple tile samples of the Ming Dynasty at change blue and white porcelain, multiple tiles shown in Fig. 3 are belonged to
In same year generation, extracted first view field image is to the 5th view field image in sample thus by Fig. 4-01 to Fig. 4-05, and Fig. 4 is the
Total view field image after the combination of one view field image to the 5th view field image can be when establishing standard database by this method
10 standard points are chosen on each sample tile, and are amounted in figure and illustrated 36 tile samples, according to the method for the present invention, 36
Tile sample, which can amount to, extracts the picture of 36*10*96*5=172800, and when establishing database, this 172800 picture is to count
According to the normal data in library；And when the art work to the age to be determined judges, the method according to the invention, to be determined
At least one standard point is chosen on the art work in age, and to 96*5*K images are extracted at standard point, is then known by image
Other technology (prior art) being analyzed with 172800 image comparisons in standard database one by one by this 96*5*K images, it is right
Than analyzing the identical rate or repetitive rate of feature in main judgement image, if being more than that 80% image can be in 96*5*K images
Image feature comparison in standard database is successful, then the age corresponding to the art work and standard database in the age to be determined
Belong to same year generation；Otherwise, same year generation is not belonging to the age corresponding to standard database.
The above-mentioned foundation merely illustrated about porcelain standard database, it should be appreciated that can be built by this method
The standard database of the different types arts work such as vertical jadeware, bronze, brass or copper ware, ironware, woodenware and calligraphy and painting.
The image at a certain position on the woodenware that Fig. 5, Fig. 5-01 are obtained to Fig. 5-05 by this method.
The image at another position on the jadeware that Fig. 6, Fig. 6-01 are obtained to Fig. 6-05 by this method.
The image at a certain position on the calligraphy and painting that Fig. 7, Fig. 7-01 are obtained to Fig. 7-05 by this method.
What the embodiment of the present invention was announced is preferred embodiment, and however, it is not limited to this, the ordinary skill people of this field
Member, easily according to above-described embodiment, understands spirit of the invention, and make different amplification and variation, but as long as not departing from this
The spirit of invention, all within the scope of the present invention.
Claims (5)
1. a kind of for carrying out the database building method of age differentiation to the art work, it includes the following steps:
(1) same to age, same type, at least two art work samples with style are chosen；
(2) at least one standard point is chosen on each art work sample by electron microscope respectively, then and extracts at least one
Image at a standard point；
(3) image extracted at standard point is saved and establishes standard database.
2. as shown in claim 1 for carrying out the database building method of age differentiation to the art work, it is characterised in that: mark
The image located on schedule is made of total view field image, and the view field image that total view field image is from top to bottom distributed by least two layers forms.
3. for carrying out the database building method of age differentiation to the art work as shown in claim 2, it is characterised in that: step
Suddenly in (3), total view field image acquisition methods are as follows:
A) microscope determines focus；
B) first layer view field image is extracted
C) scanning downwards, extracts second layer view field image, and second layer view field image is located at immediately below first layer view field image；
D) repeat step c, successively extract third layer view field image ... N+1 layer view field image, N are nature more than or equal to 2
Number, N+1 layers of view field image are located at the underface of n-th layer view field image.
4. the database building method for being used to carry out the art work age differentiation as stated in claim 3, it is characterised in that: each
Layer view field image is made of several sub- view field images respectively, and each layer view field image acquisition methods are as follows:
I. first layer view field image is constructed, in the sub- view field image of center extraction the 1st of first layer view field image, saves the 1st son view
Field picture；
II, in the sub- view field image of edge extracting the 2nd of the 1st sub- view field image, saves the 2nd centered on the 1st sub- view field image
Sub- view field image, wherein merge into the 1st sub- view field image list after the imbricate of the 2nd sub- view field image and the 1st sub- view field image
Member；
III, saves the 3rd sub- view field image, the 3rd sub- visual field in the sub- view field image of edge extracting the 3rd of the 1st sub- view field image unit
The 2nd sub- view field image unit is merged into after the imbricate of image and the 1st sub- view field image unit；
IV, repeats step III, constructs the sub- view field image unit of M, until the area and first layer of the sub- view field image unit of M regard
The area of field picture is identical, and M is the natural number greater than 2, saves the 1st to M+1 view field image,
V, camera lens moves down, and constructs second layer view field image in the underface of first layer view field image；
VI, repeats the extraction that step I to V completes second layer view field image, saves the 1st to M+1 in second layer view field image
View field image；
VII, repeat step VI, be sequentially completed the extraction of N+1 layers of view field image, and save respectively in every layer of view field image the 1st
To M+1 view field image；
The standard database is made of (N+1) * (M+1) * K images, and the K is the standard point number extracted.
5. a kind of art work age method of discrimination, it includes the following steps:
I. the standard database established using 4 any claim of Claims 1-4；
II, chooses at least one standard point on the surface of the art work to be discriminated；
III, to image zooming-out is carried out at standard point, extracts several sub- view field images according to method shown in step (3)；
IV, will extract several sub- view field images one by one and in standard database using image recognition technology on the art work to be discriminated
Picture compare, if the picture extracted in several sub- view field images and standard database on the art work to be discriminated compares
Success rate is greater than 80%, then can determine whether the art work to be determined art work sample category same year generation corresponding with standard database.
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| CN110648325A (en) * | 2019-09-29 | 2020-01-03 | 北部湾大学 | Nixing pottery big data analysis genuine product checking system |
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| CN102456097A (en) * | 2011-06-03 | 2012-05-16 | 景德镇陶瓷学院 | Method for identifying authenticity of Jingdezhen plum vases in all ages by utilizing porcelain shape structure digitalization |
| CN104794202A (en) * | 2015-04-23 | 2015-07-22 | 浙江大学 | Method for establishing cultural relic knowledge base system oriented to creative design |
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