CN108982525A - A kind of analysis and detection method for books and periodicals green fine printing quality - Google Patents
A kind of analysis and detection method for books and periodicals green fine printing quality Download PDFInfo
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- CN108982525A CN108982525A CN201810968752.5A CN201810968752A CN108982525A CN 108982525 A CN108982525 A CN 108982525A CN 201810968752 A CN201810968752 A CN 201810968752A CN 108982525 A CN108982525 A CN 108982525A
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- 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
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- G01N21/88—Investigating the presence of flaws or contamination
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Abstract
The present invention relates to printed matter technical field, in particular a kind of analysis and detection method for books and periodicals green fine printing quality is comprised the following steps: using standard books and periodicals printing as master sample, analysis system acquires zero defect printing as standard picture；It takes book and periodical printing product to be measured as sample, is placed on X-Y positioning table, detection pattern is obtained to pixel grey scale occurrence law statistics and Digital Manuscript, to respectively obtain the pattern of texture features, print output by analysis system, frame is closed and is fabricated to sample image；Sample image and standard picture are compared and analyzed；The characteristic quantity in detection interest domain is analyzed based on digital image processing techniques, finally numerically provides relevant qualitative attribute description.Analysis and detection method of the invention is high-efficient, time saving and energy saving, and inspection quality is stable and greatly reduces generation missing inspection.
Description
Technical field
The present invention relates to printed matter technical field, specially a kind of analysis for books and periodicals green fine printing quality and
Detection method.
Background technique
Printed matter is indispensable in people's daily life, such as books, package.For any printing, text
It is all important content, especially for printings such as books, newpapers and periodicals and descriptions of commodity, the printing quality of text is particularly important.
In recent years, digital printing has obtained printing industry and has widely paid close attention to, and the application of digital printing is constantly able to promote and deepen.With
The universal and digital press products of digital printing system application increasingly extensively, the detection of digital printing quality and essential elements of evaluation and
Analysis method also just becomes the focus of industry discussion, while being also the premise and basis for carrying out the creation of digital printing quality standard.
(colour) printed matter (quality) defect still mainly detects by ocular estimate in most of printing enterprises of China at present.This inspection party
Method low efficiency, time-consuming and laborious, inspection quality is unstable and is easy to produce missing inspection.
Summary of the invention
The purpose of the present invention is to provide a kind of analysis and detection method for books and periodicals green fine printing quality, with
Solve the problems mentioned above in the background art.
To achieve the above object, the invention provides the following technical scheme:
A kind of analysis and detection method for books and periodicals green fine printing quality, comprises the following steps:
(1) using standard books and periodicals printing as master sample, analysis system acquires zero defect printing as standard picture；
(2) it takes book and periodical printing product to be measured as sample, is placed on X-Y positioning table, by analysis system to pixel
Gray scale occurrence law statistics and Digital Manuscript respectively obtain the pattern of texture features, printing output obtains detection pattern, conjunction frame
It is fabricated to sample image；
(3) sample image and standard picture are compared and analyzed；
(4) characteristic quantity in detection interest domain is analyzed based on digital image processing techniques, finally numerically
Provide relevant qualitative attribute description.
Further, analysis system includes CCD camera in step (2), acquires the defect printing of amorphism and color.
Further, sample tiling shape is kept by the vacuum absorption device installed on X-Y positioning table in step (2)
State is described this statistical law using the gray co-occurrence matrix of a pair of of pixel, and then calculates relevant parameter by co-occurrence matrix
The characteristic of this texture of quantitative description.
Further, double dot charts that Digital Manuscript is loaded with vectorial characters and above text in step (2) be denoted as
Digital Manuscript.
Further, analysis includes the clear of print character, the reproduction quality of lines and printing image in step (4)
Degree, the uniformity of Color Replication, site fidelity, dot gain situation, thick stick defect, printing registration precision items quality index
Carry out detection, evaluation and quantitative description.
Further, the shape defect includes the dead printing of flaw, foreign matter, stain, knife, and the defect of the color includes
The printing of the difference of the gray value and standard picture of the fault location of image.
Further, one group of parameter can be calculated by gray matrix, is used to quantitative description texture features, including following 5
Kind Common Parameters: energy, entropy, the moment of inertia, correlation, local stationary.
Further, it is the resolution ratio of its Digital Manuscript by the resolution conversion of text grayscale image, extracts the sample
Character area in product image, analysis handle to obtain text quality index value.
Further, net-point quality realizes the duplication of graph text information based on site, and record point is digital printing picture structure
In minimum unit；Lines and text quality can intuitively provide output by digitlization to printing word and quantitative analysis
Text effects；It is imaging source and two kinds using light emitting diode as imaging source that large area, which fills a vacancy that regional quality selects using laser,
Eletrophotography digital printing specimen page.
Further, the chromatic value CIEL*a*b* of printing image is obtained using color space conversion model, is commented with color difference
The colour cast situation of valence printing.
Compared with prior art, the beneficial effects of the present invention are:
The objective of digital printing quality can be carried out to image capture device and digital image processing techniques using CCD camera
Detection and evaluation, to print quality Detection & Controling and improve all kinds of digital printing apparatus, printable fabric, ink
Equal manufacturing qualities have the function of positive.Printed matter can accurately be digitized, the image obtained can be clearly anti-
Mirror the actual copy effect and quality of printed matter.
Image processing techniques is introduced into chromatograp quality testing, the texture to standard picture and testing image is passed through
It analyzes and compares, it is possible to authenticate go out various printing defects, precision and efficiency can meet the requirement of civilian Fine presswork.
Analysis and detection method of the invention is high-efficient, time saving and energy saving, and inspection quality is stable and greatly reduces generation missing inspection.
Detailed description of the invention
Fig. 1 is flow chart of the present invention.
Fig. 2 is skin texture detection flow chart of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides a kind of technical solution referring to FIG. 1-2:
A kind of analysis and detection method for books and periodicals green fine printing quality, comprises the following steps:
(1) using standard books and periodicals printing as master sample, analysis system acquires zero defect printing as standard picture；
(2) it takes book and periodical printing product to be measured as sample, is placed on X-Y positioning table, by analysis system to pixel
Gray scale occurrence law statistics and Digital Manuscript respectively obtain the pattern of texture features, printing output obtains detection pattern, conjunction frame
It is fabricated to sample image；
(3) sample image and standard picture are compared and analyzed；
(4) characteristic quantity in detection interest domain is analyzed based on digital image processing techniques, finally numerically
Provide relevant qualitative attribute description.
Analysis system includes CCD camera in step (2), acquires the defect printing of amorphism and color.
Sample tiled state is kept by the vacuum absorption device installed on X-Y positioning table in step (2), utilizes one
This statistical law described to the gray co-occurrence matrix of pixel, so by co-occurrence matrix calculate relevant parameter quantitative description this
The characteristic of a texture.
Double dot charts that Digital Manuscript is loaded with vectorial characters and above text in step (2) are denoted as Digital Manuscript.
Analysis includes print character, the clarity of the reproduction quality of lines and printing image, Color Replication in step (4)
Uniformity, site fidelity, dot gain situation, thick stick defect, printing registration precision items quality index carry out detection, comment
Valence and quantitative description.
The shape defect includes the dead printing of flaw, foreign matter, stain, knife, and the defect of the color includes lacking for image
Fall into the printing of the gray value at place and the difference of standard picture.
One group of parameter can be calculated by gray matrix, be used to quantitative description texture features, including following 5 kinds common ginsengs
Number: energy, entropy, the moment of inertia, correlation, local stationary.
Resolution conversion by text grayscale image is the resolution ratio of its Digital Manuscript, is extracted in the sample image
Character area, analysis handle to obtain text quality index value.
Net-point quality realizes the duplication of graph text information based on site, and record point is that the minimum in digital printing picture structure is single
Member；Lines and text quality can intuitively provide the text effects of output by digitlization to printing word and quantitative analysis；
It is imaging source and using light emitting diode as two kinds of eletrophotographies of imaging source that large area, which fills a vacancy that regional quality selects using laser,
Digital printing specimen page.
The chromatic value CIEL*a*b* of printing image is obtained using color space conversion model, evaluates printing with color difference
Colour cast situation.
The texture analysis of image is applied in the quality testing of printed matter, it can be each according to testing image and standard picture
Between parametric texture the defects of black thick, color spot existing for existing differential analysis printed matter, testing process is shown in Fig. 2.
In texture image, the statistical law that a pair of of pixel grey scale separated by a distance occurs in a certain direction is answered
When the texture features that can specifically reflect this image.This statistics rule can be described with the gray co-occurrence matrix of a pair of of pixel
Rule, and then the characteristic that some parameter quantitatives describe this texture is calculated by co-occurrence matrix.
Print quality inspection and analysis method using CCD camera are exactly with scanner scanning or using with magnifying glass
Number shoots printed matter to be detected according to machine, and is divided based on digital image processing techniques the characteristic quantity in detection interest domain
Analysis finally numerically provides relevant qualitative attribute description.The typically print quality inspection based on video camera and analysis
System is made of light source, magnifying glass, high-precision CCD camera and Quality Evaluation Analysis software etc., and system work constitutes the present invention
Flow chart is shown in Fig. 1.
The objective of digital printing quality can be carried out to image capture device and digital image processing techniques using CCD camera
Detection and evaluation, to print quality Detection & Controling and improve all kinds of digital printing apparatus, printable fabric, ink
Equal manufacturing qualities have the function of positive.Printed matter can accurately be digitized, the image obtained can be clearly anti-
Mirror the actual copy effect and quality of printed matter.
Image processing techniques is introduced into chromatograp quality testing, the texture to standard picture and testing image is passed through
It analyzes and compares, it is possible to authenticate go out various printing defects, precision and efficiency can meet the requirement of civilian Fine presswork.
Analysis system is sent out equipped with Sony CCD camera, the optical lens that resolution ratio is 1024 × 768 pixels using annular
Optical diode detects target image by being sent to quality analysis after CCD camera shooting acquisition and evaluating soft as lighting source
Part.
Of the invention analysis and detection method for books and periodicals green fine printing quality is high-efficient, time saving and energy saving, inspection
The amount of checking the quality is stable and greatly reduces generation missing inspection.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (10)
1. a kind of analysis and detection method for books and periodicals green fine printing quality, which is characterized in that including following several
Step:
(1) using standard books and periodicals printing as master sample, analysis system acquires zero defect printing as standard picture；
(2) it takes book and periodical printing product to be measured as sample, is placed on X-Y positioning table, by analysis system to pixel grey scale
Occurrence law statistics and Digital Manuscript respectively obtain the pattern of texture features, printing output obtains detection pattern, conjunction frame production
At sample image；
(3) sample image and standard picture are compared and analyzed；
(4) characteristic quantity in detection interest domain is analyzed based on digital image processing techniques, is finally numerically provided
Relevant qualitative attribute description.
2. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 1, special
Sign is: analysis system includes CCD camera in step (2), acquires the defect printing of amorphism and color.
3. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 1, special
Sign is: keeping sample tiled state by the vacuum absorption device installed on X-Y positioning table in step (2), utilizes one
This statistical law described to the gray co-occurrence matrix of pixel, so by co-occurrence matrix calculate relevant parameter quantitative description this
The characteristic of a texture.
4. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 1, special
Sign is: double dot charts that Digital Manuscript is loaded with vectorial characters and above text in step (2) are denoted as Digital Manuscript.
5. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 1, special
Sign is: analysis includes print character, the clarity of the reproduction quality of lines and printing image, Color Replication in step (4)
Uniformity, site fidelity, dot gain situation, thick stick defect, printing registration precision items quality index carry out detection, comment
Valence and quantitative description.
6. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 2, special
Sign is: the shape defect includes the dead printing of flaw, foreign matter, stain, knife, and the defect of the color includes the defect of image
The printing of the difference of the gray value and standard picture at place.
7. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 3, special
Sign is: one group of parameter can be calculated by gray matrix, be used to quantitative description texture features, including following 5 kinds of Common Parameters:
Energy, entropy, the moment of inertia, correlation, local stationary.
8. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 4, special
Sign is: the resolution conversion by text grayscale image is the resolution ratio of its Digital Manuscript, is extracted in the sample image
Character area, analysis handle to obtain text quality index value.
9. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 5, special
Sign is: net-point quality realizes the duplication of graph text information based on site, and record point is that the minimum in digital printing picture structure is single
Member；Lines and text quality can intuitively provide the text effects of output by digitlization to printing word and quantitative analysis；
It is imaging source and using light emitting diode as two kinds of eletrophotographies of imaging source that large area, which fills a vacancy that regional quality selects using laser,
Digital printing specimen page.
10. a kind of analysis and detection method for books and periodicals green fine printing quality according to claim 6, special
Sign is: obtaining the chromatic value CIEL*a*b* of printing image using color space conversion model, the inclined of printing is evaluated with color difference
Color situation.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810968752.5A CN108982525A (en) | 2018-08-23 | 2018-08-23 | A kind of analysis and detection method for books and periodicals green fine printing quality |
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| CN201810968752.5A CN108982525A (en) | 2018-08-23 | 2018-08-23 | A kind of analysis and detection method for books and periodicals green fine printing quality |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110793976A (en) * | 2019-11-14 | 2020-02-14 | 苏州中科全象智能科技有限公司 | Printing quality detection system and method |
| CN111929323A (en) * | 2020-06-02 | 2020-11-13 | 珠海诚锋电子科技有限公司 | Visual detection method and device for printing defects of corrugated paper packaging box |
| CN113740286A (en) * | 2021-07-12 | 2021-12-03 | 高邮鑫润龙印刷科技有限公司 | Detection device for printed matter |
| CN114332091A (en) * | 2022-03-16 | 2022-04-12 | 武汉市金航艺精装印务有限公司 | Printed matter defect detection method based on artificial intelligence |
| CN116306576A (en) * | 2023-05-24 | 2023-06-23 | 山东成信彩印有限公司 | Book printing error detection system and method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201628690U (en) * | 2010-03-15 | 2010-11-10 | 深圳市天朗时代科技有限公司 | Print detecting system |
| CN102221554A (en) * | 2011-04-06 | 2011-10-19 | 天津科技大学 | Presswork quality and flaw inspection method |
| CN104614384A (en) * | 2015-02-06 | 2015-05-13 | 北京印刷学院 | Quality detecting method of printing product character |
| CN105241883A (en) * | 2015-09-25 | 2016-01-13 | 华南理工大学 | Printer pattern online detection and color division method |
| CN106556611A (en) * | 2016-12-07 | 2017-04-05 | 江苏唯侓机器人科技有限公司 | Chromatograp defect automatic checkout system and detection method based on machine vision |
-
2018
- 2018-08-23 CN CN201810968752.5A patent/CN108982525A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201628690U (en) * | 2010-03-15 | 2010-11-10 | 深圳市天朗时代科技有限公司 | Print detecting system |
| CN102221554A (en) * | 2011-04-06 | 2011-10-19 | 天津科技大学 | Presswork quality and flaw inspection method |
| CN104614384A (en) * | 2015-02-06 | 2015-05-13 | 北京印刷学院 | Quality detecting method of printing product character |
| CN105241883A (en) * | 2015-09-25 | 2016-01-13 | 华南理工大学 | Printer pattern online detection and color division method |
| CN106556611A (en) * | 2016-12-07 | 2017-04-05 | 江苏唯侓机器人科技有限公司 | Chromatograp defect automatic checkout system and detection method based on machine vision |
Non-Patent Citations (1)
| Title |
|---|
| 赵捷 著: "《图像特征提取与语义分析》", 30 June 2015, 重庆大学出版社 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110793976A (en) * | 2019-11-14 | 2020-02-14 | 苏州中科全象智能科技有限公司 | Printing quality detection system and method |
| CN110793976B (en) * | 2019-11-14 | 2022-04-12 | 苏州中科全象智能科技有限公司 | Printing quality detection system and method |
| CN111929323A (en) * | 2020-06-02 | 2020-11-13 | 珠海诚锋电子科技有限公司 | Visual detection method and device for printing defects of corrugated paper packaging box |
| CN113740286A (en) * | 2021-07-12 | 2021-12-03 | 高邮鑫润龙印刷科技有限公司 | Detection device for printed matter |
| CN113740286B (en) * | 2021-07-12 | 2024-03-26 | 高邮鑫润龙印刷科技有限公司 | Detection device for printed matter |
| CN114332091A (en) * | 2022-03-16 | 2022-04-12 | 武汉市金航艺精装印务有限公司 | Printed matter defect detection method based on artificial intelligence |
| CN116306576A (en) * | 2023-05-24 | 2023-06-23 | 山东成信彩印有限公司 | Book printing error detection system and method thereof |
| CN116306576B (en) * | 2023-05-24 | 2023-08-15 | 山东成信彩印有限公司 | Book printing error detection system and method thereof |
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