CN105741283A - Computer color contrast quantitative evaluation method - Google Patents
Computer color contrast quantitative evaluation method Download PDFInfo
- Publication number
- CN105741283A CN105741283A CN201610058445.4A CN201610058445A CN105741283A CN 105741283 A CN105741283 A CN 105741283A CN 201610058445 A CN201610058445 A CN 201610058445A CN 105741283 A CN105741283 A CN 105741283A
- Authority
- CN
- China
- Prior art keywords
- pattern
- computer
- standard
- measured
- grey
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30144—Printing quality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
Landscapes
- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
- Spectrometry And Color Measurement (AREA)
Abstract
The invention discloses a computer color contrast quantitative evaluation method. The computer color contrast quantitative evaluation method comprises the following steps of: collecting a standard pattern to a computer; converting a color pattern of the standard pattern into a grey pattern to obtain a standard grey pattern; selecting a contrast range on the standard grey pattern; converting an existing way of the selected standard grey pattern into an HSV (Hue, Saturation and Value) format and taking out an H plane image therein; collecting a pattern to be observed to the computer; converting a color pattern of the pattern to be observed into a grey pattern to obtain a grey pattern to be observed; aligning the standard grey pattern and the grey pattern to be observed by using a computer registration alignment method; converting the existing way of the grey pattern to be observed into the HSV format and taking out the H plane image therein; acquiring differential images; adjusting pixel values; generating color differential images from the adjusted pixel values. The computer color contrast quantitative evaluation method has the beneficial effects of convenience for use and high efficiency.
Description
Technical field
The present invention relates to a kind of computer color contrast method for quantitatively evaluating.
Background technology
In design phase, also or the control of product quality stage of design industry or printing relevant industries, people to find out the identical patterns color distinction of design amendment or the color distinction of the typographic identical patterns of product.A kind of color being design software and have modified pattern of its reason, people need its color distinction of quantitative contrast;The second is that the relation that print product operates due to typography or printing equipment causes being printed with color error ratio, and people need quantitative analysis color difference.
Prior art is to be shown in screen zones of different or direct products are under certain light source by the designed image needing contrast, is contrasted by human eye observation.In substantial amounts of contrast work, first human eye is easily tired, misses the pattern that aberration is big;It two is difficult to quantitative contrast, is all subjective assessment, there is certain subjective dependency.
Summary of the invention
The problem to be solved in the present invention is to provide a kind of computer color easy to use, that efficiency is high and contrasts method for quantitatively evaluating.
In order to solve above-mentioned technical problem, the technical solution used in the present invention is: a kind of computer color contrast method for quantitatively evaluating, comprises the following steps:
(1), standard pattern is collected computer;
(2), the standard pattern in step (1) is converted to Lycoperdon polymorphum Vitt by multicolour pattern, obtains standard grayscale pattern;
(3), contrast range chosen by the standard grayscale pattern in step (2);
(4), the existing way of the standard grayscale pattern chosen in step (3) is converted to HSV form, and takes out H plane picture therein;
(5), by Collecting Pattern to be measured to computer;
(6), the pattern to be measured in step (5) is converted to Lycoperdon polymorphum Vitt by multicolour pattern, obtains greyscale pattern to be measured;
(7), by the method for computer registration alignment, standard grayscale pattern is alignd with greyscale pattern to be measured;
(8), the existing way of the greyscale pattern to be measured in step (7) is converted to HSV form, and takes out H plane picture therein;
(9), differential image is obtained: the standard grayscale pattern utilizing step (7) to obtain from image registration and the coordinate corresponding relation of greyscale pattern to be measured, the H plane picture of the greyscale pattern to be measured obtained in the H plane picture of the standard grayscale pattern obtained in step (4) and step (8) is subtracted each other, it is thus achieved that differential image;
(10), pixel value adjustment: by the pixel between 0~127 of the pixel value X in differential image in step (9), keep X constant;By pixel value X pixel between 128~255, it is adjusted to (256-X);
(11), the pixel value after adjustment in step (10) is generated heterochromia image.
Preferably, above-mentioned computer color contrast method for quantitatively evaluating, by the mode of scanner or duplication, standard pattern is collected computer.
Preferably, above-mentioned computer color contrast method for quantitatively evaluating, by the mode of scanner or duplication by Collecting Pattern to be measured to computer.
The present invention has the technical effect that: portray out by the difference specified rate of color, by the automatic calculating of computer, it is possible to obtain the distribution of heterochromia and the size of difference;Come the difference of qualitative observation color, precision and efficiency by the method Billy's employment high, be easy to use.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearly understand, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
A kind of computer color contrast method for quantitatively evaluating, comprises the following steps:
(1), standard pattern is collected computer, it is possible to by the mode of scanner or duplication, standard pattern being collected computer, standard pattern can adopt pdf form or other picture formats;
(2), the standard pattern in step (1) is converted to Lycoperdon polymorphum Vitt by multicolour pattern, obtains standard grayscale pattern;
(3), contrast range chosen by the standard grayscale pattern in step (2);
(4), the existing way of the standard grayscale pattern chosen in step (3) is converted to HSV form, and takes out H plane picture therein;
(5), by Collecting Pattern to be measured to computer, it is possible to by the mode of scanner or duplication by Collecting Pattern to be measured to computer, pattern to be measured can have employing pdf form or other picture formats;
(6), the pattern to be measured in step (5) is converted to Lycoperdon polymorphum Vitt by multicolour pattern, obtains greyscale pattern to be measured;
(7), by the method for computer registration alignment, standard grayscale pattern is alignd with greyscale pattern to be measured;
(8), the existing way of the greyscale pattern to be measured in step (7) is converted to HSV form, and takes out H plane picture therein;
(9), obtain differential image: the standard grayscale pattern utilizing step (7) to obtain from image registration and the coordinate corresponding relation of greyscale pattern to be measured, the H plane picture of the greyscale pattern to be measured obtained in the H plane picture of the standard grayscale pattern obtained in step (4) and step (8) is subtracted each other;
(10), pixel value adjustment: by the pixel between 0~127 of the pixel value X in differential image in step (9), keep X constant;By pixel value X pixel between 128~255, it is adjusted to (256-X);This is because the chromatic value of H plane is annular, looking for the difference between them is look for the minimum range between them.
Watching for the convenience of the user, it is also possible to linearly expanded by the pixel value after above-mentioned adjustment, be all multiplied by rational number coefficient N, wherein 1≤N≤2, the pixel value range before being so multiplied expands 0~128*N to from 0~128;As N=2, due to 128*N=128*2=256, beyond single byte scope, it is possible to the value more than 0, carry out 2*X-1, adjust the scope of 0~255, meet the pixel value range of gray level image single byte.
(11), the pixel value after adjustment in step (10) is generated heterochromia image.For filtering noise, the opening operation of mathematical morphology can also be carried out before generating heterochromia image.
Adopt said method, portray out by the difference specified rate of color, by the automatic calculating of computer, it is possible to obtain the distribution of heterochromia and the size of difference;Come the difference of qualitative observation color, precision and efficiency by the method Billy's employment high, be easy to use.
Embodiment described above is only that the preferred embodiment of the present invention is described, and not the spirit and scope of the present invention is defined.Under the premise without departing from design concept of the present invention; various modification that technical scheme is made by this area ordinary person and improvement; protection scope of the present invention all should be dropped into, the technology contents that the present invention is claimed, all record in detail in the claims.
Claims (3)
1. a computer color contrast method for quantitatively evaluating, it is characterised in that comprise the following steps:
(1), standard pattern is collected computer;
(2), the standard pattern in step (1) is converted to Lycoperdon polymorphum Vitt by multicolour pattern, obtains standard grayscale pattern;
(3), contrast range chosen by the standard grayscale pattern in step (2);
(4), the existing way of the standard grayscale pattern chosen in step (3) is converted to HSV form, and takes out H plane picture therein;
(5), by Collecting Pattern to be measured to computer;
(6), the pattern to be measured in step (5) is converted to Lycoperdon polymorphum Vitt by multicolour pattern, obtains greyscale pattern to be measured;
(7), by the method for computer registration alignment, standard grayscale pattern is alignd with greyscale pattern to be measured;
(8), the existing way of the greyscale pattern to be measured in step (7) is converted to HSV form, and takes out H plane picture therein;
(9), obtain differential image: the standard grayscale pattern utilizing step (7) to obtain from image registration and the coordinate corresponding relation of greyscale pattern to be measured, the H plane picture of the greyscale pattern to be measured obtained in the H plane picture of the standard grayscale pattern obtained in step (4) and step (8) is subtracted each other;
(10), pixel value adjustment: by the pixel between 0~127 of the pixel value X in differential image in step (9), keep X constant;By pixel value X pixel between 128~255, it is adjusted to (256-X);
(11), the pixel value after adjustment in step (10) is generated heterochromia image.
2. computer color according to claim 1 contrast method for quantitatively evaluating, it is characterised in that standard pattern is collected computer by the mode of scanner or duplication.
3. computer color according to claim 1 contrast method for quantitatively evaluating, it is characterised in that by the mode of scanner or duplication by Collecting Pattern to be measured to computer.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610058445.4A CN105741283A (en) | 2016-01-28 | 2016-01-28 | Computer color contrast quantitative evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610058445.4A CN105741283A (en) | 2016-01-28 | 2016-01-28 | Computer color contrast quantitative evaluation method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105741283A true CN105741283A (en) | 2016-07-06 |
Family
ID=56247790
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610058445.4A Pending CN105741283A (en) | 2016-01-28 | 2016-01-28 | Computer color contrast quantitative evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105741283A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110049311A (en) * | 2019-04-04 | 2019-07-23 | 广东省安心加科技有限公司 | Video image point offset detection method, device, system and computer equipment |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1518332A (en) * | 2003-01-09 | 2004-08-04 | ������������ʽ���� | Image processing equipment, method, program and recording medium for recording the program |
CN1542682A (en) * | 2003-11-05 | 2004-11-03 | 中国印钞造币总公司 | Method for measuring print error of paper money sample |
CN101631259A (en) * | 2009-07-24 | 2010-01-20 | 青岛海信数字多媒体技术国家重点实验室有限公司 | Method for evaluating color fidelity and subsystem thereof |
CN101692690A (en) * | 2009-10-10 | 2010-04-07 | 刘潭华 | Remote color correction method |
CN104077605A (en) * | 2014-07-18 | 2014-10-01 | 北京航空航天大学 | Pedestrian search and recognition method based on color topological structure |
-
2016
- 2016-01-28 CN CN201610058445.4A patent/CN105741283A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1518332A (en) * | 2003-01-09 | 2004-08-04 | ������������ʽ���� | Image processing equipment, method, program and recording medium for recording the program |
CN1542682A (en) * | 2003-11-05 | 2004-11-03 | 中国印钞造币总公司 | Method for measuring print error of paper money sample |
CN101631259A (en) * | 2009-07-24 | 2010-01-20 | 青岛海信数字多媒体技术国家重点实验室有限公司 | Method for evaluating color fidelity and subsystem thereof |
CN101692690A (en) * | 2009-10-10 | 2010-04-07 | 刘潭华 | Remote color correction method |
CN104077605A (en) * | 2014-07-18 | 2014-10-01 | 北京航空航天大学 | Pedestrian search and recognition method based on color topological structure |
Non-Patent Citations (2)
Title |
---|
GARRETT M. JOHNSON等: "A Top Down Description of S-CIELAB and CIEDE2000", 《COLOR RESEARCH AND APPLICATION》 * |
SHAMIK SURAL等: "Segmentation and histogram generation using the HSV color space for image retrieval", 《2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110049311A (en) * | 2019-04-04 | 2019-07-23 | 广东省安心加科技有限公司 | Video image point offset detection method, device, system and computer equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP4364239B2 (en) | Method for qualitative determination of a material having at least one recognition characteristic | |
CN105976354B (en) | Element localization method and system based on color and gradient | |
US10620417B2 (en) | Method for generating a reflection-reduced contrast image and corresponding device | |
CN106161974B (en) | Utilize the display apparatus and its method of high dynamic range function | |
CN104742516B (en) | High-power image dot coverage rate digital measuring method suitable for whole printing process | |
CN105430218B (en) | Image color recognition methods and device | |
CN112446864A (en) | Flaw detection method, flaw detection device, flaw detection equipment and storage medium | |
CN104103043B (en) | Spatial gamut mapping method | |
WO2019010917A1 (en) | Method and system for color calibration of projection image | |
JP2001501782A (en) | Method and system for automatically monitoring the color of an object in a vision station | |
JP2007172512A (en) | Method for quantitative evaluation of image quality, system thereof and program for calculating quantitative evaluation of image quality | |
US20010048529A1 (en) | Method of image color correction | |
CN107094219B (en) | Image processing apparatus and image processing method | |
CN105741283A (en) | Computer color contrast quantitative evaluation method | |
CN108389182A (en) | A kind of picture quality detection method and device based on deep neural network | |
CN106504252A (en) | A kind of color segmentation method and device of coloured image | |
Dhopade | Image quality assessment according to ISO 13660 and ISO 19751 | |
US10175468B2 (en) | Method for generating a contrast image of an object structure and apparatuses relating thereto | |
KR20200093289A (en) | A method for extraction of a registered seal impression from a document | |
Nussbaum et al. | Print quality evaluation and applied colour management in coldset offset newspaper print | |
US20130113383A1 (en) | Apparatus and methods for improving illumination uniformity | |
JP2004219291A (en) | Line defect detection method and device for screen | |
JPH0993443A (en) | Color-monochromatic image conversion method and edge position detection method for object to be inspected | |
CN114023249A (en) | LED display screen image light point extraction method and device and LED display screen correction method | |
JP2016036139A (en) | Method of dynamically calibrating print process |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160706 |
|
RJ01 | Rejection of invention patent application after publication |