EP4127672A1 - Procédé d'évaluation de contrastes sur des surfaces - Google Patents
Procédé d'évaluation de contrastes sur des surfacesInfo
- Publication number
- EP4127672A1 EP4127672A1 EP21711040.2A EP21711040A EP4127672A1 EP 4127672 A1 EP4127672 A1 EP 4127672A1 EP 21711040 A EP21711040 A EP 21711040A EP 4127672 A1 EP4127672 A1 EP 4127672A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- image
- camera
- assessing
- contrasts
- reference image
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
- G07D7/12—Visible light, infrared or ultraviolet radiation
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/2033—Matching unique patterns, i.e. patterns that are unique to each individual paper
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/206—Matching template patterns
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
- H04N23/675—Focus control based on electronic image sensor signals comprising setting of focusing regions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
- G01N2021/95615—Inspecting patterns on the surface of objects using a comparative method with stored comparision signal
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/02—Mechanical
- G01N2201/022—Casings
- G01N2201/0221—Portable; cableless; compact; hand-held
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/06—Illumination; Optics
- G01N2201/061—Sources
- G01N2201/0616—Ambient light is used
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
Definitions
- the invention relates to a method for assessing contrasts of surfaces, in particular for the optical detection of structured and / or pictorial surfaces, for example of paintings or sculptures.
- DE 102014018940 A1 discloses a method for assessing colored or lacquered surfaces using a lamp.
- the lamp an LED or halogen lamp, should be able to generate a light spectrum similar to daylight that can be controlled or regulated. In particular, it should be possible to switch between daylight and the color spectrum that is more suitable for assessing the surface.
- a stationary optical scanning device for flat surfaces is disclosed in DE 3737631 C1. It has a laser light source, a light deflection device acted upon by the laser light beam, an imaging element, an imaging retroreflector and a light receiving device. It is used for troubleshooting on reflective surfaces, whereby fluttering of the surface should not affect measurements.
- Another stationary optical device for detecting surfaces of a component is described in DE 102008018586 A1.
- Two light sources and a camera device are provided, the camera receiving the light beams of the light sources reflected on the surfaces of the component in order to generate an image of the surfaces.
- DE 102016011497 B4 shows a similar optical examination device for detecting the properties of rectangular semiconductors.
- An optical scanning device for recording and reproducing information using light beams with at least three wavelengths is shown in EP 1381035 B1.
- a stationary measuring system for detecting surfaces and for hyperspectral imaging is described in DE 102017000296 A1.
- An illumination pattern of a first measuring light with a multitude of wavelengths is generated and the illumination pattern is imaged on the surface to be examined so that it can be imaged sharply by a chromatic objective at different distances.
- the intensity distribution of the split first measurement light is recorded by means of a detector and topographical properties of the surface to be examined are determined therefrom.
- the surface is also homogeneously illuminated with a second measuring light.
- a multifocal, chromatically coded 3D measuring method is combined with a non-confocal second measuring light.
- the structure and composition of the surfaces should be able to be determined quickly and precisely.
- the invention is based on the object of developing a method for assessing contrasts of surfaces, which can be used easily and safely, regardless of location.
- the object is achieved with the features of independent claim 1.
- the method according to the invention comprises the steps
- the method according to the invention enables sharp and high-quality images to be created automatically from a surface from a predetermined distance by means of a terminal device, preferably a mobile terminal device (mobile device), which is equipped with a camera.
- a terminal device preferably a mobile terminal device (mobile device), which is equipped with a camera.
- FIG. 2 the camera according to FIG. 1 with a glare protection.
- a surface 2 to be detected, in the example a painting 1, is first aligned horizontally or vertically (FIG. 1) and illuminated optimally and without shadows by means of daylight and / or artificial light.
- the autofocus of a camera 5 of a mobile device 4 is then activated and the mobile device is aligned approximately parallel (horizontally or vertically) to the surface 2 over a prominent image point (direction 6 ).
- the camera 5 is focused if, for example, there is no refocusing of the lens of the camera 5 within approx. 0.5 seconds. To do this, the physical position of the moving lens of the objective is continuously monitored. The position of the movable lens determines the focal length to the focal point of the optical system. As far as the average of the obtained lens positions of the lens of the camera 5 from the last approx. 0.5 seconds of the next obtained Corresponds to the lens position, the camera 5 is classified as focused by the software of the mobile device 4 and triggered.
- the actual distance to the focused object (image point 3 of the surface 2) can be calculated by the aforementioned software, provided that the camera 5 has already been measured.
- the control electronics of the mobile device 4 calculate the current distance to the focused object. If the distance corresponds to a defined specification, for example five to eight, in the example preferably five, but at least two successive images / recordings of an area to be recognized again are created automatically. High-contrast image points 3 are identified in each image. Colors, contrasts, distances and / or depths of structures are automatically determined.
- image points 3 are surrounded by significantly more or less intense image points.
- the distance 6 to the surface is, for example, 9-10 cm.
- Geometric shapes are then projected using the high-contrast image points 3 identified. These pixels 3 form the corners of the projected geometric figures.
- the number, the positions and the sizes of the geometric figures are stored in a data record for each image.
- the number of projected geometric figures indicates the depth of detail in an image.
- the greatest number of details is selected for further processing (comparison of the recorded image data with previously created images) and saved as a reference (target image).
- the mobile device 4 can be provided with a reversible glare shield 7.
- this glare shield 7 is a flat, square frame with a cutout 8 for the camera 5.
- the glare shield 7 can be attached and positioned on the mobile device 4, for example magnetically or by means of a guide rail or click connection (FIG. 2).
- the aforementioned software / app For a first-time acquisition of a surface, the aforementioned software / app must first be installed on the mobile device 4 and this must be registered and authenticated.
- a live video stream can optionally also be created with the same camera 5 and, if necessary, further individual images of the selected area can be created
- the user wants to determine whether a work of art / object available to him corresponds to the object originally recorded in the registration process or is identical to it.
- the user selects the work of art / object to be authenticated from his or her collection
- step 8 of the registration process is now used to create the best possible image of the same area (image point 3) from a distance 6 of 9-10 cm, for example, in accordance with steps 6 and / or 7 of the registration
- step 2 The best image from step 2 is saved as an authentication image for further processing
- the stored authentication image is now compared with the reference image from the registration process by the control electronics / app of the mobile device 4 and / or with the aid of a computer system
- the user receives a statement as to whether the work of art / object is the same or whether it is not the work of art / object originally recorded during the registration process.
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Business, Economics & Management (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Signal Processing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Toxicology (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Image Input (AREA)
Abstract
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CH00343/20A CH717251A2 (de) | 2020-03-23 | 2020-03-23 | Verfahren zur Beurteilung von Kontrasten von Oberflächen. |
| PCT/IB2021/051752 WO2021191707A1 (fr) | 2020-03-23 | 2021-03-03 | Procédé d'évaluation de contrastes sur des surfaces |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4127672A1 true EP4127672A1 (fr) | 2023-02-08 |
Family
ID=77887799
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP21711040.2A Pending EP4127672A1 (fr) | 2020-03-23 | 2021-03-03 | Procédé d'évaluation de contrastes sur des surfaces |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US12222299B2 (fr) |
| EP (1) | EP4127672A1 (fr) |
| CH (1) | CH717251A2 (fr) |
| WO (1) | WO2021191707A1 (fr) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CH717252A2 (de) | 2020-03-23 | 2021-09-30 | 4Art Holding Ag | Verfahren zur Wiedererkennung von Oberflächen. |
| CH717253A2 (de) | 2020-03-23 | 2021-09-30 | 4Art Holding Ag | Gerät zur optischen Erfassung von Oberflächen. |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108898597A (zh) * | 2018-06-28 | 2018-11-27 | 广东创图文化传媒有限公司 | 一种基于智能手机的书画鉴证的方法 |
Family Cites Families (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3737631C1 (de) | 1987-11-05 | 1989-03-02 | Sick Optik Elektronik Erwin | Optische Abstastvorrichtung fuer ebene Oberflaechen |
| US5521984A (en) * | 1993-06-10 | 1996-05-28 | Verification Technologies, Inc. | System for registration, identification and verification of items utilizing unique intrinsic features |
| DE60042812D1 (de) | 1999-01-22 | 2009-10-08 | Konica Minolta Opto Inc | Optische Abtastvorrichtung, mit der optischen Abtastvorrichtung versehenes Aufnahme/Wiedergabegerät, optisches Element und Verfahren zur Datenaufnahme/wiedergabe |
| SE518050C2 (sv) * | 2000-12-22 | 2002-08-20 | Afsenius Sven Aake | Kamera som kombinerar skarpt fokuserade delar från olika exponeringar till en slutbild |
| EP1386481A1 (fr) | 2001-05-07 | 2004-02-04 | Flir Systems AB | Camera infrarouge sensible au rayonnement infrarouge |
| US20030160182A1 (en) | 2002-02-25 | 2003-08-28 | Emerge Interactive, Inc. | Apparatus and method for detecting fecal and ingesta contamination using a hand held illumination and imaging device |
| US7531349B1 (en) | 2004-01-13 | 2009-05-12 | Raytheon Company | Standoff bioagent-detection apparatus and method using multi-wavelength differential laser-induced fluorescence |
| US7623234B2 (en) | 2004-03-22 | 2009-11-24 | Quantaspec, Inc. | System and method for detecting and identifying an analyte |
| US20080266549A1 (en) | 2007-04-26 | 2008-10-30 | Ese Inc. | Chemical Constituent Analyzer |
| DE102008018586A1 (de) | 2008-04-12 | 2009-11-05 | Mühlbauer Ag | Optische Erfassungsvorrichtung und Verfahren für die Erfassung von Oberflächen von Bauteilen |
| US8044354B2 (en) | 2008-12-04 | 2011-10-25 | The Boeing Company | Method for classifying resins types in carbon fiber reinforced plastic materials using IR spectroscopy |
| US9451885B2 (en) | 2010-12-22 | 2016-09-27 | University of Pittsburgh—of the Commonwealth System of Higher Education | Depth-selective fiber-optic probe |
| US20160178528A1 (en) | 2014-12-19 | 2016-06-23 | Agiltron, Inc. | Devices for detecting contamination in coatings |
| DE102014018940A1 (de) | 2014-12-22 | 2016-06-23 | Sata Gmbh & Co. Kg | Vorrichtung und Verfahren zur Begutachtung von Oberflächen, insbesondere von Farb- oder Lackoberflächen |
| CN104866837B (zh) | 2015-06-02 | 2018-08-10 | 上海交通大学 | 字画微观纹理的图像采集装置及其采集方法 |
| KR20180041688A (ko) | 2015-08-03 | 2018-04-24 | 와이에스아이 인코포레이티드 | 다중 파라미터 수질 모니터링을 위한 다중 여기-다중 방출 형광계 |
| CN108369636B (zh) | 2015-11-27 | 2024-03-08 | 盖赫盖斯特公司 | 用于认证和/或检查对象完整性的方法 |
| JP6675194B2 (ja) * | 2015-12-15 | 2020-04-01 | キヤノン株式会社 | 撮像装置及びその制御方法、プログラム並びに記憶媒体 |
| CN105740820B (zh) | 2016-01-29 | 2020-01-03 | 魏志宇 | 辨别用图片的获取方法和辨别用图片的获取系统 |
| EP3459013B1 (fr) | 2016-05-17 | 2026-04-01 | Kerquest | Procédé d'authentification augmentée d'un sujet matériel |
| US20180059015A1 (en) | 2016-08-30 | 2018-03-01 | Sensii, Inc. | Personal liquid analysis system |
| DE102016011497B4 (de) | 2016-09-21 | 2019-01-24 | Mühlbauer Gmbh & Co. Kg | Optische Untersuchungseinrichtung und optisches Untersuchungsverfahren mit sichtbarem und infrarotem Licht für Halbleiterbauteile |
| FR3059104B1 (fr) | 2016-11-18 | 2020-12-11 | Electricite De France | Dispositif et procede d'estimation d'un parametre d'un materiau polymere |
| DE102017000296B4 (de) | 2017-01-15 | 2021-02-11 | Baden-Württemberg Stiftung Ggmbh | Messsystem und Verfahren zur kombinierten Erfassung der Oberflächentopographie und hyperspektralen Bildgebung |
| WO2018212822A1 (fr) * | 2017-05-16 | 2018-11-22 | Google Inc. | Actions suggérées pour des images |
| CN110506276B (zh) | 2017-05-19 | 2021-10-15 | 谷歌有限责任公司 | 使用环境传感器数据的高效的图像分析 |
| US10192305B2 (en) * | 2017-06-02 | 2019-01-29 | Visualmind Oy | Method and system for analyzing test image |
| CH717253A2 (de) | 2020-03-23 | 2021-09-30 | 4Art Holding Ag | Gerät zur optischen Erfassung von Oberflächen. |
| CH717252A2 (de) | 2020-03-23 | 2021-09-30 | 4Art Holding Ag | Verfahren zur Wiedererkennung von Oberflächen. |
-
2020
- 2020-03-23 CH CH00343/20A patent/CH717251A2/de unknown
-
2021
- 2021-03-03 WO PCT/IB2021/051752 patent/WO2021191707A1/fr not_active Ceased
- 2021-03-03 EP EP21711040.2A patent/EP4127672A1/fr active Pending
- 2021-03-03 US US17/913,497 patent/US12222299B2/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108898597A (zh) * | 2018-06-28 | 2018-11-27 | 广东创图文化传媒有限公司 | 一种基于智能手机的书画鉴证的方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| US20230147881A1 (en) | 2023-05-11 |
| US12222299B2 (en) | 2025-02-11 |
| CH717251A2 (de) | 2021-09-30 |
| WO2021191707A1 (fr) | 2021-09-30 |
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