CN108985272A - Put on record authentication approach based on the high confidence level painting and calligraphy that are merged with fluoroscopy images of reflection - Google Patents

Put on record authentication approach based on the high confidence level painting and calligraphy that are merged with fluoroscopy images of reflection Download PDF

Info

Publication number
CN108985272A
CN108985272A CN201810939647.9A CN201810939647A CN108985272A CN 108985272 A CN108985272 A CN 108985272A CN 201810939647 A CN201810939647 A CN 201810939647A CN 108985272 A CN108985272 A CN 108985272A
Authority
CN
China
Prior art keywords
image
calligraphy
painting
light source
plate light
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810939647.9A
Other languages
Chinese (zh)
Other versions
CN108985272B (en
Inventor
田原
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Chuangtu Cultural Media Co Ltd
Original Assignee
Guangdong Chuangtu Cultural Media Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Chuangtu Cultural Media Co Ltd filed Critical Guangdong Chuangtu Cultural Media Co Ltd
Priority to CN201810939647.9A priority Critical patent/CN108985272B/en
Publication of CN108985272A publication Critical patent/CN108985272A/en
Application granted granted Critical
Publication of CN108985272B publication Critical patent/CN108985272B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/80Recognising image objects characterised by unique random patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/46Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462Salient features, e.g. scale invariant feature transforms [SIFT]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Collating Specific Patterns (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Put on record authentication approach the invention discloses a kind of based on the high confidence level painting and calligraphy that merges with fluoroscopy images of reflection, the equipment that this method uses includes inner wall for the work box of black, upper layer and lower layer flat-plate light source, width visual field camera, microcosmic camera;Computer improves the reliability of identity verifying by different image co-registrations by control upper layer and lower layer flat-plate light source timesharing illumination, ingestible reflected texture image and perspective texture image.This method includes two steps of stage and the stage of discerning of putting on record.The present invention has merged two kinds of texture images of reflection and perspective, and is finally matched using region feature, and the confidence level that painting and calligraphy are discerned is not only increased, and also reduces painting and calligraphy and discerns requirement to use environment.

Description

Put on record authentication approach based on the high confidence level painting and calligraphy that are merged with fluoroscopy images of reflection
Technical field
Put on record authentication approach more particularly to a kind of based on the height that is merged with fluoroscopy images of reflection the present invention relates to a kind of painting and calligraphy Confidence level painting and calligraphy are put on record authentication approach.
Background technique
Current painting and calligraphy put on record authentication approach be usually pass through shooting painting and calligraphy pieces surface fine textures, by extracting it The characteristic point (such as SIFT) of texture image is matched, and by the matching degree of consistency of these characteristic points decide whether matching at Function.But such methods have the disadvantage that
(1) texture image may be influenced similar to this point-like character of SIFT by external condition etc. and unstable, Have an adverse effect to matching;
(2) merely with the textural characteristics of paper surface, the fiber distribution characteristics inside paper is not made full use of, from And affect the confidence level discerned.
Summary of the invention
In order to solve shortcoming present in above-mentioned technology, the present invention provides one kind to be melted based on reflection with fluoroscopy images The high confidence level painting and calligraphy closed are put on record authentication approach.
In order to solve the above technical problems, the technical solution adopted by the present invention is that: one kind is melted based on reflection with fluoroscopy images The high confidence level painting and calligraphy closed are put on record authentication approach, and the equipment used includes the work box that inner wall is black;The lower end of work box is set It is equipped with workbench, the upper end of workbench is provided with lower flat-plate light source;Transparency glass plate, painting and calligraphy are provided with above lower flat-plate light source Works are smooth to be layed on transparency glass plate;The upper end of work box is provided with upper flat plate light source;Among the lower end of upper flat plate light source It is provided with wide visual field camera;It is provided with mobile bracket on the inner sidewall of work box, is fixedly installed microcosmic camera on mobile bracket; It is additionally provided on workbench for controlling the mobile and matched computer of micro image, computer passes through control upper layer and lower layer plate Light source timesharing illumination, ingestible reflected texture image and perspective texture image improve identity by different image co-registrations and test The reliability of card;
The overall step of this method are as follows:
One, put on record the stage:
A, it only opens upper flat plate light source to be illuminated, with the overall reflective image of wide visual field camera shooting painting and calligraphy pieces, obtain To painting and calligraphy sample;It is required that the breadth of shooting covers the big portion region of painting and calligraphy pieces;
B, characteristic point in figure is extracted, and obtains its respective characteristic attribute description;
C, characteristic point is screened, more equably selects multiple invariant feature points;
D, microcosmic camera is moved to shooting enlarged drawing at selected characteristic point, extracts the figure again according to preceding method It is saved after the characteristic point and its description of picture;
E, in the block region of the white space selection fritter texture-rich of painting and calligraphy sample as matching candidate position, by spy After sign transformation, characteristic image and original texture image are saved, and mark fritter deviation post and size;
F, it closes upper flat plate light source and opens lower flat-plate light source, shoot fluoroscopy images, it then equally will be in painting and calligraphy sample White space chooses the block region of fritter texture-rich as matching candidate position, after eigentransformation, characteristic image and Original texture image is saved;
G, the process for repeating e~f, selects multiple and different microscopic feature matching candidate point positions;
H, features described above point and attribute description, image or characteristic image block and its deviation post, size are saved to setting File directory in, be recorded as template image data;
Two, the stage is discerned:
A, it only opens upper flat plate light source to be illuminated, the overall reflective figure of painting and calligraphy sample to be certified is shot with wide visual field camera Picture;It is required that the breadth of shooting covers the big portion region of painting and calligraphy image;
B, it extracts and schemes upper characteristic point, and obtain its respective characteristic attribute description;
C, features described above point is matched with the characteristic point in painting and calligraphy sample, if successful match points are less than setting ratio Example, then it is assumed that it fails to match, exits certification;Otherwise it is assumed that successful match, calculates position, the angle of authentication image and sample image And dimensional deviations, and continue next step;
D, microcosmic camera is moved to successful match position, extracts the image characteristic point of the position again, later and template In characteristic point match, if successful match, calculate current sample image and template position, angle and dimensional deviations;If matching Failure, then rechange a repetition aforesaid operations;
E, it closes upper flat plate light source and opens lower flat-plate light source, shoot transmission image;According to the matching result of above-mentioned image It is corrected to current sample image and with the position of template, angle and dimensional deviations, obtains corresponding templates matching candidate position The matching candidate image or characteristic image block set;Characteristic image block is divided into reflectance signature image block, transmission feature image block;
F, reflectance signature image block, transmission feature image block respectively characteristic image block corresponding with template move left and right into Row matching sees whether to be more than given threshold;If being more than, successful match;Otherwise it fails to match;
G, selection matching points are required according to confidence level, if the points of successful match are greater than the ratio of setting, then it is assumed that one Cause property is examined successfully, otherwise it is assumed that failure.
Further, characteristic point includes SIFT, Surf point, angle point.
The present invention has merged two kinds of texture images of reflection and perspective, and is finally matched using region feature, not only improves The confidence level that painting and calligraphy are discerned also reduces painting and calligraphy and discerns requirement to use environment.
Detailed description of the invention
Fig. 1 is the structural schematic diagram for the equipment that the present invention uses.
Fig. 2 is the reflected texture image of painting and calligraphy pieces.
Fig. 3 is the transmission texture image of painting and calligraphy pieces same position in Fig. 2.
In figure: 1, upper flat plate light source;2, wide visual field camera;3, mobile bracket;4, microcosmic camera;5, transparency glass plate;6, Lower flat-plate light source;7, workbench;8, work box.
Specific embodiment
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
It is a kind of to be put on record authentication approach based on the high confidence level painting and calligraphy that are merged with fluoroscopy images of reflection, the equipment used such as Fig. 1 It is shown, it is the work box of black including inner wall;The lower end of work box is provided with workbench, and the upper end of workbench is provided with lower plate Light source;Transparency glass plate is provided with above lower flat-plate light source, painting and calligraphy pieces are smooth to be layed on transparency glass plate;Work box Upper end is provided with upper flat plate light source;Wide visual field camera is provided among the lower end of upper flat plate light source;It is set on the inner sidewall of work box It is equipped with mobile bracket, is fixedly installed microcosmic camera on mobile bracket;It is additionally provided on workbench mobile and microcosmic for controlling The computer of images match, computer pass through control upper layer and lower layer flat-plate light source timesharing illumination, ingestible reflected texture image (figure Shown in 2) and perspective texture image (shown in Fig. 3), the reliability of identity verifying is improved by different image co-registrations;Above and below Flat-plate light source can also be with equivalent replacement for other distributed lighting light sources, it is therefore an objective to eliminate the influence of shade.
The overall step of this method are as follows:
One, put on record the stage:
A, it only opens upper flat plate light source to be illuminated, with the overall reflective image of wide visual field camera shooting painting and calligraphy pieces, obtain To painting and calligraphy sample;It is required that the breadth of shooting covers the big portion region of painting and calligraphy pieces;
B, characteristic point in figure, such as SIFT, Surf point, angle point are extracted, and obtains its respective characteristic attribute description;
C, characteristic point is screened, more equably selects multiple invariant feature points;
D, microcosmic camera is moved to shooting enlarged drawing at selected characteristic point, extracts the figure again according to preceding method It is saved after the characteristic point and its description of picture;
E, in the block region of the white space selection fritter texture-rich of painting and calligraphy sample as matching candidate position, by spy Sign transformation is as characteristic image and original texture image saved, and mark fritter deviation post and size after gradient transformation;
F, it closes upper flat plate light source and opens lower flat-plate light source, shoot fluoroscopy images, it then equally will be in painting and calligraphy sample White space chooses the block region of fritter texture-rich as matching candidate position, after eigentransformation, characteristic image and Original texture image is saved;
The step can also turn off upper flat plate light after the point feature of reflected image and block feature all shooting storages Source opens lower flat-plate light source, shoots fluoroscopy images, extracts point, region feature again and save;
G, the process for repeating e~f, selects multiple and different microscopic feature matching candidate point positions;
H, features described above point and attribute description, image or characteristic image block and its deviation post, size are saved to setting File directory in, be recorded as template image data;
Two, the stage is discerned:
A, it only opens upper flat plate light source to be illuminated, the overall reflective figure of painting and calligraphy sample to be certified is shot with wide visual field camera Picture;It is required that the breadth of shooting covers the big portion region of painting and calligraphy image;
B, it extracts and schemes upper characteristic point, and obtain its respective characteristic attribute description;
C, features described above point is matched with the characteristic point in painting and calligraphy sample, if successful match points are less than setting ratio Example, then it is assumed that it fails to match, exits certification;Otherwise it is assumed that successful match, calculates position, the angle of authentication image and sample image And dimensional deviations, and continue next step;
D, microcosmic camera is moved to successful match position, extracts the image characteristic point of the position again, later and template In characteristic point match, if successful match, calculate current sample image and template position, angle and dimensional deviations;If matching Failure, then rechange a repetition aforesaid operations;
E, it closes upper flat plate light source and opens lower flat-plate light source, shoot transmission image;According to the matching result of above-mentioned image It is corrected to current sample image and with the position of template, angle and dimensional deviations, obtains corresponding templates matching candidate position The matching candidate image or characteristic image block set;Characteristic image block is divided into reflectance signature image block, transmission feature image block;
F, reflectance signature image block, transmission feature image block respectively characteristic image block corresponding with template move left and right into Row matching sees whether to be more than given threshold;If being more than, successful match;Otherwise it fails to match;
G, selection matching points are required according to confidence level, if the points of successful match are greater than the ratio of setting, then it is assumed that one Cause property is examined successfully, otherwise it is assumed that failure.
Here image Block- matching is the related coefficient calculated between image or characteristic image, and putting on record in discerning used in painting and calligraphy has Feature insensitive for environmental changes such as illumination, stability is good, a small amount of image disturbances will not have an impact to result is discerned, It is preferably unified to achieve consistency and stability.
The present invention can take in reflected texture image and perspective texture figure in such a way that upper layer and lower layer light source timesharing illuminates Picture is remarkably improved the reliability of identity verifying by different image co-registrations.
This method using the painting and calligraphy that merge with transmission image of reflection despite based on being put on record authentication approach, but based on above-mentioned two Kind of image, which can also independently be carried out painting and calligraphy, to be put on record and discerns work.
Above embodiment is not limitation of the present invention, and the present invention is also not limited to the example above, this technology neck The variations, modifications, additions or substitutions that the technical staff in domain is made within the scope of technical solution of the present invention, also belong to this hair Bright protection scope.

Claims (2)

  1. A kind of authentication approach 1. high confidence level painting and calligraphy merged based on reflection with fluoroscopy images are put on record, it is characterised in that: the mirror The equipment that card method uses includes the work box that inner wall is black;The lower end of the work box is provided with workbench, workbench Upper end is provided with lower flat-plate light source;Transparency glass plate is provided with above the lower flat-plate light source, painting and calligraphy pieces are smooth to be layed in On transparency glass plate;The upper end of the work box is provided with upper flat plate light source;Wide view is provided among the lower end of upper flat plate light source Wild camera;It is provided with mobile bracket on the inner sidewall of the work box, is fixedly installed microcosmic camera on mobile bracket;The work Make to be additionally provided on platform for controlling the mobile and matched computer of micro image, computer passes through control upper layer and lower layer plate light Source timesharing illumination, ingestible reflected texture image and perspective texture image improve identity verifying by different image co-registrations Reliability;
    The overall step of the authentication approach are as follows:
    One, put on record the stage:
    A, it only opens upper flat plate light source to be illuminated, with the overall reflective image of wide visual field camera shooting painting and calligraphy pieces, obtains book Draw sample;It is required that the breadth of shooting covers the big portion region of painting and calligraphy pieces;
    B, characteristic point in figure is extracted, and obtains its respective characteristic attribute description;
    C, characteristic point is screened, more equably selects multiple invariant feature points;
    D, microcosmic camera is moved to shooting enlarged drawing at selected characteristic point, extracts the image again according to preceding method It is saved after characteristic point and its description;
    E, become as matching candidate position by feature in the block region that the white space of painting and calligraphy sample chooses fritter texture-rich After changing, characteristic image and original texture image are saved, and mark fritter deviation post and size;
    F, it closes upper flat plate light source and opens lower flat-plate light source, shoot fluoroscopy images, it then equally will be in the blank of painting and calligraphy sample Region choose fritter texture-rich block region as matching candidate position, after eigentransformation, characteristic image with it is original Texture image is saved;
    G, the process for repeating e~f, selects multiple and different microscopic feature matching candidate point positions;
    H, features described above point and attribute description, image or characteristic image block and its deviation post, size are saved to the text of setting In part catalogue, it is recorded as template image data;
    Two, the stage is discerned:
    A, it only opens upper flat plate light source to be illuminated, the overall reflective image of painting and calligraphy sample to be certified is shot with wide visual field camera; It is required that the breadth of shooting covers the big portion region of painting and calligraphy image;
    B, it extracts and schemes upper characteristic point, and obtain its respective characteristic attribute description;
    C, features described above point is matched with the characteristic point in painting and calligraphy sample, if successful match points are less than setting ratio, Think that it fails to match, exits certification;Otherwise it is assumed that successful match, calculates position, angle and the ruler of authentication image and sample image Deviation is spent, and continues next step;
    D, microcosmic camera is moved to successful match position, extracts the image characteristic point of the position again, later and in template Characteristic point matches, if successful match, calculates current sample image and template position, angle and dimensional deviations;If it fails to match, Then rechange a repetition aforesaid operations;
    E, it closes upper flat plate light source and opens lower flat-plate light source, shoot transmission image;According to the matching result of above-mentioned image to working as It preceding sample image and is corrected with the position of template, angle and dimensional deviations, obtains corresponding templates matching candidate position Matching candidate image or characteristic image block;Characteristic image block is divided into reflectance signature image block, transmission feature image block;
    F, reflectance signature image block, transmission feature image block, characteristic image block corresponding with template moves left and right progress respectively Match, sees whether to be more than given threshold;If being more than, successful match;Otherwise it fails to match;
    G, selection matching points are required according to confidence level, if the points of successful match are greater than the ratio of setting, then it is assumed that consistency It examines successfully, otherwise it is assumed that failure.
  2. The authentication approach 2. the high confidence level painting and calligraphy according to claim 1 merged based on reflection with fluoroscopy images are put on record, Be characterized in that: the characteristic point includes SIFT, Surf point, angle point.
CN201810939647.9A 2018-08-17 2018-08-17 High-reliability painting and calligraphy filing and authenticating method based on fusion of reflection and perspective images Active CN108985272B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810939647.9A CN108985272B (en) 2018-08-17 2018-08-17 High-reliability painting and calligraphy filing and authenticating method based on fusion of reflection and perspective images

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810939647.9A CN108985272B (en) 2018-08-17 2018-08-17 High-reliability painting and calligraphy filing and authenticating method based on fusion of reflection and perspective images

Publications (2)

Publication Number Publication Date
CN108985272A true CN108985272A (en) 2018-12-11
CN108985272B CN108985272B (en) 2021-11-23

Family

ID=64553976

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810939647.9A Active CN108985272B (en) 2018-08-17 2018-08-17 High-reliability painting and calligraphy filing and authenticating method based on fusion of reflection and perspective images

Country Status (1)

Country Link
CN (1) CN108985272B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114125295A (en) * 2021-11-25 2022-03-01 大势大非(北京)文化有限公司 Private data painting and calligraphy right confirming method and device

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020052809A1 (en) * 2000-11-02 2002-05-02 Orell Fussli Security Documents Ag Method for verifying the authenticity of articles
US20100284569A1 (en) * 2008-01-11 2010-11-11 Kazuyuki Sakurai Lane recognition system, lane recognition method, and lane recognition program
US20110188102A1 (en) * 2010-02-02 2011-08-04 Sony Corporation Hologram-including medium, hologram-including medium producing apparatus, and information authentication method
US20120070088A1 (en) * 2009-06-02 2012-03-22 Kousuke Yoshimi Picture image processor, method for processing picture image and method for processing picture image
CN103116755A (en) * 2013-01-27 2013-05-22 深圳市书圣艺术品防伪鉴定有限公司 Automatic painting and calligraphy authenticity degree detecting system and method thereof
CN105323208A (en) * 2014-06-07 2016-02-10 李季 Method for tracing calligraphy and painting identity tag
CN105654216A (en) * 2014-11-15 2016-06-08 北京翰易得科技有限公司 Calligraphy and painting management and selling system based on intelligent handset platform
CN106131389A (en) * 2016-08-24 2016-11-16 北京雅昌艺术印刷有限公司 Apparatus and method for painting and calligraphy pieces put on record and identify
CN106529506A (en) * 2016-12-05 2017-03-22 沈阳毓沣恒装饰材料有限公司 A calligraphy and painting record authentication device based on multistage magnification times

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020052809A1 (en) * 2000-11-02 2002-05-02 Orell Fussli Security Documents Ag Method for verifying the authenticity of articles
US20100284569A1 (en) * 2008-01-11 2010-11-11 Kazuyuki Sakurai Lane recognition system, lane recognition method, and lane recognition program
US20120070088A1 (en) * 2009-06-02 2012-03-22 Kousuke Yoshimi Picture image processor, method for processing picture image and method for processing picture image
US20110188102A1 (en) * 2010-02-02 2011-08-04 Sony Corporation Hologram-including medium, hologram-including medium producing apparatus, and information authentication method
CN103116755A (en) * 2013-01-27 2013-05-22 深圳市书圣艺术品防伪鉴定有限公司 Automatic painting and calligraphy authenticity degree detecting system and method thereof
CN105323208A (en) * 2014-06-07 2016-02-10 李季 Method for tracing calligraphy and painting identity tag
CN105654216A (en) * 2014-11-15 2016-06-08 北京翰易得科技有限公司 Calligraphy and painting management and selling system based on intelligent handset platform
CN106131389A (en) * 2016-08-24 2016-11-16 北京雅昌艺术印刷有限公司 Apparatus and method for painting and calligraphy pieces put on record and identify
CN106529506A (en) * 2016-12-05 2017-03-22 沈阳毓沣恒装饰材料有限公司 A calligraphy and painting record authentication device based on multistage magnification times

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
关晓惠: "计算机辅助的国画:分类、鉴别与系统", 《中国优秀博硕士学位论文全文数据库(硕士)信息科技辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114125295A (en) * 2021-11-25 2022-03-01 大势大非(北京)文化有限公司 Private data painting and calligraphy right confirming method and device

Also Published As

Publication number Publication date
CN108985272B (en) 2021-11-23

Similar Documents

Publication Publication Date Title
US20230419444A1 (en) Systems, devices, and methods for providing feedback on and improving the accuracy of super-resolution imaging
CN101128838B (en) Recognition graph
US8515208B2 (en) Method for document to template alignment
US11408829B2 (en) Macro inspection systems, apparatus and methods
JP6872670B2 (en) Dimension measuring device, dimensional measuring program and semiconductor manufacturing system
CN102834845A (en) Method and arrangement for multi-camera calibration
CN109784342A (en) A kind of OCR recognition methods and terminal based on deep learning model
WO2016114898A1 (en) Systems, methods and devices for the automated verification and quality control and assurance of vehicle identification plates
KR102502486B1 (en) Image generating system
JP2023134712A (en) System, method, and apparatus for macroscopic inspection of reflective specimen
CN100437628C (en) Automatic digitization of garment patterns
CN1173283C (en) Document image processing apparatus and its method and recording medium with all program
CN102831578B (en) Image processing method and image processing device
CN102473278A (en) Image processing apparatus, image processing method, and storage medium
US20060193525A1 (en) Extracting embedded information from a document
CN108985272A (en) Put on record authentication approach based on the high confidence level painting and calligraphy that are merged with fluoroscopy images of reflection
AU2011265380A1 (en) Determining transparent fills based on a reference background colour
KR100987094B1 (en) Method for automatically defining a part model
CN110378167A (en) A kind of bar code image correction algorithm based on deep learning
Hagg et al. On recognizing transparent objects in domestic environments using fusion of multiple sensor modalities
JP6890849B2 (en) Information processing system
CN114758346A (en) High-precision image global microscopic printing document identification system
CN207264408U (en) A kind of iris identification device
CN113096219A (en) Light control method and device
CN102262614A (en) Longitudinal proofreading method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant