EP2265935A1 - Procédé et agencement pour le contrôle automatique de l'impression colorée perçue par l' oeil d'images couleurs en plusieurs couleurs - Google Patents

Procédé et agencement pour le contrôle automatique de l'impression colorée perçue par l' oeil d'images couleurs en plusieurs couleurs

Info

Publication number
EP2265935A1
EP2265935A1 EP09728377A EP09728377A EP2265935A1 EP 2265935 A1 EP2265935 A1 EP 2265935A1 EP 09728377 A EP09728377 A EP 09728377A EP 09728377 A EP09728377 A EP 09728377A EP 2265935 A1 EP2265935 A1 EP 2265935A1
Authority
EP
European Patent Office
Prior art keywords
measure
image
color
statistical
sharpness
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.)
Withdrawn
Application number
EP09728377A
Other languages
German (de)
English (en)
Inventor
Robert Massen
Joerg Eberhardt
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.)
Baumer Inspection GmbH
Original Assignee
Baumer Inspection GmbH
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 Baumer Inspection GmbH filed Critical Baumer Inspection GmbH
Publication of EP2265935A1 publication Critical patent/EP2265935A1/fr
Withdrawn legal-status Critical Current

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
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
    • B41F—PRINTING MACHINES OR PRESSES
    • B41F33/00—Indicating, counting, warning, control or safety devices
    • B41F33/0036—Devices for scanning or checking the printed matter for quality control
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
    • B41F—PRINTING MACHINES OR PRESSES
    • B41F33/00—Indicating, counting, warning, control or safety devices
    • B41F33/0036—Devices for scanning or checking the printed matter for quality control
    • B41F33/0045—Devices for scanning or checking the printed matter for quality control for automatically regulating the ink supply
    • 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
    • G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • G01N21/8914—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined
    • G01N21/8915—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined non-woven textile material

Definitions

  • the invention relates to a method for automatically checking the visually perceived color impression of multicolor color images in a printed product which has writing in addition to the color images, and to an arrangement for carrying out the method.
  • the printing industry is making do today, for example, by printing on the right and left edge monochrome color marks with the roll printing.
  • These monochrome surfaces can be measured with classical colorimeters and photo spectrometers. This is usually done randomly and offline, based on manually extracted samples from the current print job.
  • EP 1 642 098 discloses for decorative printing, for example for floor laminates and patterned furniture fronts, that the visual color impression of a décor depends not only on a correspondence of the color statistics of the multicolored patterned decors, but also on slight changes of the image sharpness, which as such are not dependent on the eye be perceived in the human visual system to give the impression of a color shift.
  • EP 1 642 098 therefore proposes continuous measurement with color cameras of both the color statistics and the image sharpness of the decoration in the print and combines both measurements either separately or combined to give the printer a measure of the stability of the visual color impression of the printer (see also: Massen, R .: "100% automatic monitoring of the consistency of appearance of decor papers in the printing and in the impregnating line"), European Laminates Conference and Workshop.Prague, Czech Republic, 4 - 6 April 2006, organized by TCM, Austria, www.tcman.at).
  • Printing tasks from multicolored illustrated books, brochures, magazines, etc. it is very important to control the printing process and / or to regulate so that the printed color images in the middle of the text and graphic elements look the same for all printed copies of the magazine.
  • This method must therefore, in contrast to classical colorimetry limited to monochromatic color, at least in the most important for a uniform visual quality of human perception of color images reproduce the responsible visual and sensory properties of humans in printed color images.
  • FIG. 1 shows a page of a magazine with four color pictures, with text blocks and with graphics
  • FIG. 3 shows, after a virtual decomposition of the magazine page, the subregions which consist of multicolor color images without writing;
  • FIG. 4 schematically shows, for a color image of the magazine page, the comparison of the calculated 3-dimensional color histogram with the associated 3-dimensional reference color histogram and the comparison of the calculated image sharpness with the corresponding reference image sharpness value of the data stored in a reference database reference color image.
  • FIG. 1 shows, as a printed product, a page 10 of a magazine with four embedded multicolored color images 12, 14, 16 and 18, which are shown here in pure black and white representation, with black and white text passages 20 and with graphic elements 22.
  • the color image 16 is partially overprinted with font 24.
  • the visual color impression of the multicolor color images 12, 14, 16 and 18 is to be checked during ongoing production by comparing the color statistics of the color images and the image intensities of the color images with stored reference images or color statistics and image sharpnesses calculated from these reference images.
  • the result of this comparison is continuously displayed to the printing personnel and informs them about the visual constancy of the color impression for a human observer and about the physical causes of the discernible deviations. which may be due to deviations in the color statistics or / and to differences in the sharpness of the image.
  • Figure 2 shows an inventive arrangement for automatically checking the visually perceived color impression of multicolor color images.
  • the time cursor section 10 is illuminated with a linear white-light illumination 26 as appropriate, other illuminations are possible.
  • An imaging sensor 28 which in the embodiment shown is a 3-channel color line camera, scans the magazine page 10 in a manner known per se.
  • n 3 spectral channels, usually associated with the colors RED, GREEN and BLUE, is to be understood as an example.
  • NIR channel Near InfraRed
  • n-channel color information can also be generated with a black-and-white camera and n spectrally different, rapidly successive illuminations, so that such a scan is also covered by the inventive idea.
  • an imaging sensor with n> 3 spectral channels is also referred to as a "multispectral camera”.
  • the scanning can also be done at high speed in the printing line. It is useful, but not mandatory, to do the scanning at the end of the printing process, ie after the last printing station or printing stage. In multi-stage printing units, such as those used in printing a sophisticated illustrated art book, the automatic check according to the invention even after a few pressure levels, if not all colors have been printed, take place to a faster indication of the instability of a particular printing unit receive.
  • the color line camera 28 is connected to a computing unit 30, which in turn is connected to a display unit 32.
  • the display unit 32 may be part of the computing unit 30 or a separate part, for example an LCD display device.
  • the signals obtained by the scanning from the color camera 28 are transmitted to the arithmetic unit 30, converted into a digital image file and stored as such.
  • reference images are digitally stored for all the multicolored color images to be checked.
  • the arithmetic unit 30 further includes programs that, through optical character and pattern recognition and automatic document analysis, perform the
  • Image files can each disassemble into those subregions, which have writing or graphics, and those which consist of multicolor color images without writing and / or graphics.
  • FIG. 3 shows the magazine page 10 for optical character and pattern recognition and automatic document analysis.
  • the subregions of the magazine page which have fonts are hidden, and only the subregions consisting of multicolor color images without fonts are visible. They are automatically found in the digitized image of the magazine page.
  • Such methods of document analysis are used, for example, by the company Oce Document Technologies, Constance (www.captaris-dt.com) in systems for automatic document capture and management.
  • DAGM German Study Group for Pattern Recognition
  • the following articles describe the basics of automatic document analysis: Achim Luhn, Andreas Dengel: Model-based Segmentation and Hypothesis Generation for Analysis of Paper Documents, pages 226-232, and N.
  • Ebi Object-Oriented Document Segmentation. Page 233-239. It can therefore be assumed that methods for automatic document analysis, including automatic segmentation of color images, are known to those skilled in the art of image processing.
  • At least one statistical descriptive feature of the occurring colors and at least one measure for the image sharpness are calculated by programs in the arithmetic unit 30 for the Teikegionen which consist of a multicolored color image.
  • FIG. 4 shows schematically a calculated 3-dimensional color histogram 34 for the statistical description of the occurring colors, as well as the corresponding 3-dimensional reference color histogram 36 of the associated reference database in a schematically indicated reference database for the example of the non-writing part of the color image 16 38 stored reference image.
  • the deviation amount ⁇ C may be output to the display unit 32.
  • a measure S for the image sharpness 44 is also determined.
  • a measure S for the image sharpness 46 is also calculated for the associated reference image.
  • the deviation amount ⁇ S can also be output on the display unit 32.
  • Various embodiments for displaying the deviation measures are conceivable, so the deviation measures can be displayed separately or combined to form a common deviation measure.
  • the deviation measures are also displayed as trend lines over the production time and / or the production quantity.
  • the assignment of a color image to be tested to the appropriate reference for example, due to the known positions of the color images on the magazine side.
  • the assignment can also be made dynamically, in that each entry in the reference database is compared with the values of the current one
  • the deviation measures are determined continuously, so that the printing personnel can detect instabilities in good time and take the correct countermeasures.
  • the statistical color reduction images of color images are not limited to the exemplified n-dimensional color histograms. Also other known to those skilled in the color image processing measures such as:
  • the process can be applied to all printing technologies and all printable areas and materials such as rolls, sheets, surfaces of 3-dimensional products such as cans, etc.

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  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Pathology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Spectrometry And Color Measurement (AREA)

Abstract

L'invention porte sur un procédé destiné au contrôle automatique de l'impression colorée, perçue par l'œil, d'images couleurs en plusieurs couleurs (12, 14, 16, 18) dans un produit imprimé, qui, outre les images couleurs, comprend du texte imprimé. Le procédé comporte les étapes suivantes : pour chaque image couleur en plusieurs couleurs à contrôler, on mémorise par voie numérique une image de référence dans une banque de données (38). Le produit imprimé est analysé à l'aide d'un capteur d'imagerie (28), qui présente au moins n = 3 canaux spectraux, et le signal obtenu est converti en un fichier image numérique. Le fichier image numérique est décomposé par un procédé de reconnaissance optique de caractères et de modèles, et d'analyse automatique de document, en les régions partielles qui présentent des caractères d'imprimerie ou des graphiques, et en celles qui sont constituées d'images couleurs en plusieurs couleurs, sans texte imprimé ni graphique. Pour chaque région partielle qui est constituée d'une image couleur en plusieurs couleurs, on calcule au moins une caractéristique de description statistique des couleurs présentes, ainsi qu'au moins une mesure de la netteté de l'image. La caractéristique calculée de description statistique, et la mesure de la netteté de l'image, sont comparées à la caractéristique correspondante de description statistique et à la mesure de la netteté de l'image de référence correspondante mémorisée dans la banque de données. On calcule et affiche un écart ΔC, pour la caractéristique de description statistique des couleurs présentes, et un écart ΔS pour la mesure de la netteté de l'image. En outre, l'invention propose un dispositif pour la mise en œuvre du procédé.
EP09728377A 2008-03-29 2009-03-26 Procédé et agencement pour le contrôle automatique de l'impression colorée perçue par l' oeil d'images couleurs en plusieurs couleurs Withdrawn EP2265935A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102008016538A DE102008016538A1 (de) 2008-03-29 2008-03-29 Überwachung der visuellen Qualität von in Druckprodukten eingebetteten Farbbildern
PCT/EP2009/002238 WO2009121522A1 (fr) 2008-03-29 2009-03-26 Procédé et agencement pour le contrôle automatique de l'impression colorée perçue par l'œil d'images couleurs en plusieurs couleurs

Publications (1)

Publication Number Publication Date
EP2265935A1 true EP2265935A1 (fr) 2010-12-29

Family

ID=40756644

Family Applications (1)

Application Number Title Priority Date Filing Date
EP09728377A Withdrawn EP2265935A1 (fr) 2008-03-29 2009-03-26 Procédé et agencement pour le contrôle automatique de l'impression colorée perçue par l' oeil d'images couleurs en plusieurs couleurs

Country Status (5)

Country Link
US (1) US20110188089A1 (fr)
EP (1) EP2265935A1 (fr)
CN (1) CN102016555A (fr)
DE (1) DE102008016538A1 (fr)
WO (1) WO2009121522A1 (fr)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9055279B2 (en) * 2011-04-15 2015-06-09 Tektronix, Inc. System for natural language assessment of relative color quality
GB2491884B (en) 2011-06-16 2018-05-16 Markem Imaje Industries Ltd Printing apparatus and method of printing
EP2626209B1 (fr) * 2012-02-12 2018-04-11 Baumer Inspection GmbH Procédé et dispositif de reconnaissance de fonctions erronées de douilles d'une imprimante à jet d'encre
CN103377468A (zh) * 2012-04-26 2013-10-30 上海竞天科技股份有限公司 图像处理装置及图像处理方法
DE102015203521A1 (de) 2014-03-31 2015-10-01 Heidelberger Druckmaschinen Ag Verfahren zur automatischen Parametrisierung der Fehlererkennung eines Bildinspektionssystem
DE102016204506A1 (de) * 2015-04-20 2016-10-20 Heidelberger Druckmaschinen Ag Fortdruckinspektion mit lokaler Optimierung
CN109271949A (zh) * 2018-09-28 2019-01-25 中国科学院长春光学精密机械与物理研究所 多谱段图像数据提取方法、装置、设备及可读存储介质
CN110406248A (zh) * 2019-07-08 2019-11-05 无锡中江彩印包装有限公司 一种用于彩盒生产的色彩管理系统
EP4306322A1 (fr) 2022-07-12 2024-01-17 Janoschka AG Procédé pour l'inspection de cylindres d'impression en creux et de plaques d'impression en creux

Family Cites Families (5)

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Publication number Priority date Publication date Assignee Title
US5767978A (en) * 1997-01-21 1998-06-16 Xerox Corporation Image segmentation system
DE19703129B4 (de) * 1997-01-29 2014-08-21 Heidelberger Druckmaschinen Ag Verfahren zur Bewertung der Qualität eines im Mehrfarbendruck auf einem Bedruckstoff erzeugten Druckbildes
DE19822662C2 (de) * 1998-05-20 2003-12-24 Roland Man Druckmasch Verfahren zur Farbreproduktion auf einer Bilddaten orientierten Druckmaschine
DE20319438U1 (de) * 2003-06-24 2004-07-01 Massen Machine Vision Systems Gmbh Überwachung des Farbeindrucks von mehrfarbig gemusterten Produkten
DE10328322A1 (de) * 2003-06-24 2005-01-27 Massen Machine Vision Systems Gmbh Überwachung des Farbeindrucks von mehrfarbig gemusterten Produkten

Non-Patent Citations (1)

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Title
See references of WO2009121522A1 *

Also Published As

Publication number Publication date
US20110188089A1 (en) 2011-08-04
CN102016555A (zh) 2011-04-13
WO2009121522A1 (fr) 2009-10-08
DE102008016538A1 (de) 2009-10-01

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