CN110033485A - Python-based electronic paper aperture opening ratio calculation method and device - Google Patents

Python-based electronic paper aperture opening ratio calculation method and device Download PDF

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Publication number
CN110033485A
CN110033485A CN201910290647.5A CN201910290647A CN110033485A CN 110033485 A CN110033485 A CN 110033485A CN 201910290647 A CN201910290647 A CN 201910290647A CN 110033485 A CN110033485 A CN 110033485A
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China
Prior art keywords
picture
electronic paper
processing
opening ratio
aperture opening
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CN201910290647.5A
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Chinese (zh)
Inventor
易子川
迟锋
张崇富
何文耀
陈智恒
张智
白鹏飞
文毅
水玲玲
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University of Electronic Science and Technology of China Zhongshan Institute
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University of Electronic Science and Technology of China Zhongshan Institute
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Priority to CN201910290647.5A priority Critical patent/CN110033485A/en
Priority to PCT/CN2019/087521 priority patent/WO2020206815A1/en
Publication of CN110033485A publication Critical patent/CN110033485A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/194Segmentation; Edge detection involving foreground-background segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume

Abstract

The invention discloses a Python-based electronic paper aperture opening ratio calculation method, which comprises the following steps of: step S1, acquiring a frame of electronic paper picture based on Python environment; step S2, calling an OpenCV database, and processing the electronic paper picture to obtain the area of an effective light transmission area of the electronic paper picture; step S3, calculating the opening ratio of the electronic paper picture, and outputting a calculation result through a visual interface; the method is based on Python working environment, introduces an OpenCV database and a corresponding image processing means, performs graying processing on an electronic paper picture, then performs Gaussian blur processing, then performs binarization processing, and finally realizes measurement of the opening rate of the electronic paper through a designed algorithm and a program, thereby simplifying the algorithm design and measurement process of the opening rate of the electronic paper, realizing rapid and accurate measurement of the opening rate of the electronic paper, and indirectly promoting research and development of the electronic paper.

Description

The calculation method and device of Electronic Paper aperture opening ratio based on Python
Technical field
The present invention relates to field of display, the calculation method and dress of especially a kind of Electronic Paper aperture opening ratio based on Python It sets.
Background technique
With advances in technology and development, the mankind enter the information age of an intelligence, in flat display field, constantly There is novel technology and display in ground.Important carrier of the display as human-computer interaction, in picture browsing, word read etc. is each Particularly important effect is played in terms of kind acquisition of information.And Electronic Paper has become this important information and shows carrier, Success is achieved on the market at present, has been applied in daily life and work, such as E-book reader, Electronic Paper is wide Accuse board, the second screen of mobile phone, electric label etc..It is exactly brightness that display picture quality, which has an important specification, and determines brightness Most important factor is exactly aperture opening ratio, therefore the aperture opening ratio for measuring Electronic Paper also becomes one piece indispensable in Electronic Paper development Picture mosaic.
And brightness is to restrict display image quality and fast-developing key factor, Electronic Paper is no exception;It improves The aperture opening ratio of display is the main method for improving brightness, and nowadays the aperture opening ratio of many LCD only has 6% on the market, screen it is bright Degree be nearly all propped up by backlight, as one can imagine the aperture opening ratio for improving display be how it is necessary to, and improve opening Rate can reduce the power consumption of backlight, also comply with current energy-saving and environment-friendly development topic.Therefore the test of heuristics of aperture opening ratio and realization Also become the key element in Electronic Paper road for development.How more quickly, more accurately, display is more easily measured Aperture opening ratio, it appears that become display and do not walked around for one on the fast-developing road for possessing low-power consumption and superior images quality The bank gone also becomes the fast development of electronic paper display technology and attracts in terms of being stood firm on monitor market with scientific research and grinds Study carefully the catalyst with investment.
Summary of the invention
For overcome the deficiencies in the prior art, the present invention provides that a kind of structure is simple, and convenient test is quick, and precision is high The calculation method and device of Electronic Paper aperture opening ratio based on Python.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of calculation method of the Electronic Paper aperture opening ratio based on Python, comprising the following steps:
Step S1, based under Python environment, a frame Electronic Paper picture is obtained, further, the Electronic Paper picture is electronics The picture or video flowing that paper screen is shown, or the picture using smart machine shooting electronic paper screen.
Step S2, OpenCV database is called, Electronic Paper picture is handled, the effective light transmission of Electronic Paper picture is obtained The area in region, further, the processing to Electronic Paper picture includes:
Gray processing processing is carried out to Electronic Paper picture first, obtains gray processing picture, processing formula is as follows,
Gray=R*0.299+G*0.587+B*0.114;
Wherein, R, G and B are primaries, and R is red, and G is green, and B is blue.
Using the central point of gray processing picture as origin, Gaussian Blur processing is carried out to gray processing picture, obtains Gaussian Blur Picture, processing formula is as follows,
Wherein, the pixel coordinate of x and y gray processing picture, σ are the standard deviation of x.
According to gamma characteristic, Gaussian Blur picture is divided into background and prospect, Gaussian Blur picture is carried out at binaryzation Reason obtains binaryzation picture, and processing formula is as follows,
U=w0*u0+w1*u1;
G=w0* (u0-u)2+w1*(u1-u)2
T=Max (g);
Wherein, u is the overall average gray scale of Gaussian Blur picture, and w0 is the ratio that prospect points account for Gaussian Blur picture, before u0 is The average gray of scape, w1 are the ratio that background points account for image, and u1 is the average gray of background, and g is the variance of foreground and background, T is the segmentation threshold of prospect and background, and when t makes value g maximum, t is then the optimal threshold of image segmentation.
Obtain the number of the white pixel point of binaryzation picture, the as area in the effective light transmission region of Electronic Paper picture.
Step S3, the aperture opening ratio of Electronic Paper picture is calculated, and calculated result is exported by visualization interface, further, The calculation formula of the aperture opening ratio of Electronic Paper picture is,
X=w/Z;
Wherein, X refers to aperture opening ratio;
W refers to the number of the white pixel point of binaryzation picture;
Z refers to the number of total pixel of binaryzation picture.
The application also proposes a kind of computing device of Electronic Paper aperture opening ratio based on Python, it includes the end PC and intelligent sliding Moved end;
The end PC is equipped with algorithm running environment and OpenCV database based on Python, and the end PC includes: Data acquisition module: the Electronic Paper picture transmitted for receiving the intelligent sliding moved end.
Processing module: based under Python environment, related algorithm is called to calculate the aperture opening ratio of Electronic Paper picture.
Display module: for showing calculated result by visualization interface.
The intelligent sliding moved end includes:
Data outputting module: the picture or video flowing for being used for transmission electronic paper display are to the data acquisition module.
Photographing module obtains Electronic Paper picture for shooting electronic paper screen, and is passed by the data outputting module It is defeated by the data acquisition module.
Further, the process of the aperture opening ratio of the processing module calculating Electronic Paper picture is as follows:
Gray processing processing is carried out to Electronic Paper picture first, obtains gray processing picture, processing formula is as follows,
Gray=R*0.299+G*0.587+B*0.114;
Wherein, R, G and B are primaries, and R is red, and G is green, and B is blue.
Using the central point of gray processing picture as origin, Gaussian Blur processing is carried out to gray processing picture, obtains Gaussian Blur Picture, processing formula is as follows,
Wherein, the pixel coordinate of x and y gray processing picture, σ are the standard deviation of x.
According to gamma characteristic, Gaussian Blur picture is divided into background and prospect, Gaussian Blur picture is carried out at binaryzation Reason obtains binaryzation picture, and processing formula is as follows,
U=w0*u0+w1*u1;
G=w0* (u0-u)2+w1*(u1-u)2
T=Max (g);
Wherein, u is the overall average gray scale of Gaussian Blur picture, and w0 is the ratio that prospect points account for Gaussian Blur picture, before u0 is The average gray of scape, w1 are the ratio that background points account for image, and u1 is the average gray of background, and g is the variance of foreground and background, T is the segmentation threshold of prospect and background, and when t makes value g maximum, t is then the optimal threshold of image segmentation.
Obtain the number of the white pixel point of binaryzation picture, the as area in the effective light transmission region of Electronic Paper picture.
The final aperture opening ratio for calculating Electronic Paper picture, calculation formula be,
X=w/Z;
Wherein, X refers to aperture opening ratio;
W refers to the number of the white pixel point of binaryzation picture;
Z refers to the number of total pixel of binaryzation picture.
The beneficial effects of the present invention are: the present invention is based on Python working environment, OpenCV database and corresponding is introduced Image processing means carry out gray processing processing to Electronic Paper picture, then carry out Gaussian Blur processing, then carry out at binaryzation Reason realizes the measurement of Electronic Paper aperture opening ratio finally by designed algorithm and program, enormously simplifies Electronic Paper aperture opening ratio Algorithm design and measurement process, remove the aperture opening ratio of measurement Electronic Paper, have pushed Electronic Paper indirectly with realizing fast accurate Research and development.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is work flow diagram of the invention;
Fig. 2 is the principle of the present invention frame diagram.
Specific embodiment
Referring to Fig.1, Fig. 2, a kind of calculation method of the Electronic Paper aperture opening ratio based on Python, comprising the following steps:
Step S1, based under Python environment, a frame Electronic Paper picture is obtained, further, the Electronic Paper picture is electronics The picture or video flowing that paper screen is shown, or the picture using smart machine shooting electronic paper screen.
Step S2, OpenCV database is called, Electronic Paper picture is handled, the effective light transmission of Electronic Paper picture is obtained The area in region, further, the processing to Electronic Paper picture includes:
Gray processing processing is carried out to Electronic Paper picture first, is obtained gray processing picture (256 grades of grayscale images), processing formula is as follows,
Gray=R*0.299+G*0.587+B*0.114;
Wherein, R, G and B are primaries, and R is red, and G is green, and B is blue.
In view of clearly picture sharpness can be relatively high, it can excessively compare clear-cut benefit between the RGB color value of pixel It falling, i.e., the gray value differences between some pixels are bigger away from meeting, and the Electronic Paper aperture opening ratio of measurement can be made to have a little bias, because This, in the present embodiment, using the central point of gray processing picture as origin, carries out Gaussian Blur processing to gray processing picture, obtains height This blurred picture, processing formula is as follows,
Wherein, the pixel coordinate of x and y gray processing picture, σ are the standard deviation of x, by carrying out at Gaussian Blur to gray processing picture Reason can effectively reduce picture noise and reduce level of detail, to improve the precision of measurement Electronic Paper aperture opening ratio.
According to gamma characteristic, Gaussian Blur picture is divided into background and prospect, Gaussian Blur picture is carried out at binaryzation Reason obtains binaryzation picture, and processing formula is as follows,
U=w0*u0+w1*u1;
G=w0* (u0-u)2+w1*(u1-u)2
T=Max (g);
Wherein, u is the overall average gray scale of Gaussian Blur picture, and w0 is the ratio that prospect points account for Gaussian Blur picture, before u0 is The average gray of scape, w1 are the ratio that background points account for image, and u1 is the average gray of background, and g is the variance of foreground and background, T is the segmentation threshold of prospect and background, and when t makes value g maximum, t is then the optimal threshold of image segmentation;In the present embodiment, The purpose of binary conversion treatment is only to set the gray value of the pixel on picture to 0 or 255 the two values, and 0 is completely black i.e. black Colour vegetarian refreshments, is shown as black, and 255 be brilliant white, that is, white pixel point, is shown as white, that is, entire picture is showed bright Aobvious black and white effect, can effectively reduce the data volume of image, so that image becomes simpler, prominent required target wheel Exterior feature is more advantageous to and carries out deep picture processing in next step.
By obtaining the number of the white pixel point of binaryzation picture, the as face in the effective light transmission region of Electronic Paper picture Product.
Step S3, the aperture opening ratio of Electronic Paper picture is calculated, and calculated result is exported by visualization interface, further, The calculation formula of the aperture opening ratio of Electronic Paper picture is,
X=w/Z;
Wherein, X refers to aperture opening ratio;
W refers to the number of the white pixel point of binaryzation picture;
Z refers to the number of total pixel of binaryzation picture.
The application also proposes a kind of computing device of Electronic Paper aperture opening ratio based on Python, it includes the end PC and intelligent sliding Moved end;
The end PC is equipped with algorithm running environment and OpenCV database based on Python, and the end PC includes:
Data acquisition module: the Electronic Paper picture transmitted for receiving the intelligent sliding moved end.
Processing module: based under Python environment, related algorithm is called to calculate the aperture opening ratio of Electronic Paper picture.
Display module: for showing calculated result by visualization interface.
The intelligent sliding moved end includes:
Data outputting module: the picture or video flowing for being used for transmission electronic paper display are to the data acquisition module.
Photographing module obtains Electronic Paper picture for shooting electronic paper screen, and is passed by the data outputting module Be defeated by the data acquisition module, in the present embodiment, by intelligent sliding moved end and the end PC setting be same as under IP address, pass through Photographing module is called to shoot electronic paper screen in the end PC.
Further, the process of the aperture opening ratio of the processing module calculating Electronic Paper picture is as follows:
Gray processing processing is carried out to Electronic Paper picture first, obtains gray processing picture, processing formula is as follows,
Gray=R*0.299+G*0.587+B*0.114;
Wherein, R, G and B are primaries, and R is red, and G is green, and B is blue.
Using the central point of gray processing picture as origin, Gaussian Blur processing is carried out to gray processing picture, obtains Gaussian Blur Picture, processing formula is as follows,
Wherein, the pixel coordinate of x and y gray processing picture, σ are the standard deviation of x.
According to gamma characteristic, Gaussian Blur picture is divided into background and prospect, Gaussian Blur picture is carried out at binaryzation Reason obtains binaryzation picture, and processing formula is as follows,
U=w0*u0+w1*u1;
G=w0* (u0-u)2+w1*(u1-u)2
T=Max (g);
Wherein, u is the overall average gray scale of Gaussian Blur picture, and w0 is the ratio that prospect points account for Gaussian Blur picture, before u0 is The average gray of scape, w1 are the ratio that background points account for image, and u1 is the average gray of background, and g is the variance of foreground and background, T is the segmentation threshold of prospect and background, and when t makes value g maximum, t is then the optimal threshold of image segmentation.
Then obtain the number of the white pixel point of binaryzation picture, the as face in the effective light transmission region of Electronic Paper picture Product.
The final aperture opening ratio for calculating Electronic Paper picture, calculation formula be,
X=w/Z;
Wherein, X refers to aperture opening ratio;
W refers to the number of the white pixel point of binaryzation picture;
Z refers to the number of total pixel of binaryzation picture.
The present invention is based on Python working environments, OpenCV database and corresponding image processing means are introduced, to electronics Paper picture carries out gray processing processing, then carries out Gaussian Blur processing, binary conversion treatment is then carried out, finally by designed Algorithm and program realize the measurement of Electronic Paper aperture opening ratio, enormously simplify the algorithm design and measurement process of Electronic Paper aperture opening ratio, Go measurement Electronic Paper aperture opening ratio with realizing fast accurate, has pushed the research and development of Electronic Paper indirectly.
Above embodiment cannot limit the protection scope of the invention, and the personnel of professional skill field are not departing from In the case where the invention general idea, the impartial modification and variation done still fall within the range that the invention is covered Within.

Claims (6)

1. a kind of calculation method of the Electronic Paper aperture opening ratio based on Python, it is characterised in that it the following steps are included:
Step S1, based under Python environment, a frame Electronic Paper picture is obtained;
Step S2, OpenCV database is called, Electronic Paper picture is handled, the effective light transmission region of Electronic Paper picture is obtained Area;
Step S3, the aperture opening ratio of Electronic Paper picture is calculated, and calculated result is exported by visualization interface.
2. the calculation method of the Electronic Paper aperture opening ratio according to claim 1 based on Python, it is characterised in that the step In rapid S1, the Electronic Paper picture is the picture or video flowing that electronic paper screen is shown, or shoots electronics using smart machine The picture of paper screen.
3. the calculation method of the Electronic Paper aperture opening ratio according to claim 1 based on Python, it is characterised in that the step In rapid S2, the processing to Electronic Paper picture includes:
Gray processing processing is carried out to Electronic Paper picture first, obtains gray processing picture, processing formula is as follows,
Wherein, R, G and B are primaries, and R is red, and G is green, and B is blue;
Using the central point of gray processing picture as origin, Gaussian Blur processing is carried out to gray processing picture, obtains Gaussian Blur picture, It is as follows to handle formula,
Wherein,xWithyThe pixel coordinate of gray processing picture,σForxStandard deviation;
According to gamma characteristic, Gaussian Blur picture is divided into background and prospect, binary conversion treatment is carried out to Gaussian Blur picture, is obtained To binaryzation picture, processing formula is as follows,
Wherein, u is the overall average gray scale of Gaussian Blur picture, and w0 is the ratio that prospect points account for Gaussian Blur picture, before u0 is The average gray of scape, w1 are the ratio that background points account for image, and u1 is the average gray of background, and g is the variance of foreground and background, T is the segmentation threshold of prospect and background, and when t makes value g maximum, t is then the optimal threshold of image segmentation;
Obtain the number of the white pixel point of binaryzation picture, the as area in the effective light transmission region of Electronic Paper picture.
4. the calculation method of the Electronic Paper aperture opening ratio according to claim 1 based on Python, it is characterised in that the step In rapid S3, the calculation formula of the aperture opening ratio of Electronic Paper picture is,
X=w/Z;
Wherein, X refers to aperture opening ratio;
W refers to the number of the white pixel point of binaryzation picture;
Z refers to the number of total pixel of binaryzation picture.
5. a kind of computing device of the Electronic Paper aperture opening ratio based on Python, which is characterized in that it includes the end PC and intelligent mobile End;
The end PC is equipped with algorithm running environment and OpenCV database based on Python, and the end PC includes:
Data acquisition module: the Electronic Paper picture transmitted for receiving the intelligent sliding moved end;
Processing module: based under Python environment, related algorithm is called to calculate the aperture opening ratio of Electronic Paper picture;
Display module: for showing calculated result by visualization interface;
The intelligent sliding moved end includes:
Data outputting module: the picture or video flowing for being used for transmission electronic paper display are to the data acquisition module;
Photographing module obtains Electronic Paper picture for shooting electronic paper screen, and is transferred to by the data outputting module The data acquisition module.
6. the computing device of the Electronic Paper aperture opening ratio according to claim 5 based on Python, it is characterised in that the place The process for managing the aperture opening ratio that module calculates Electronic Paper picture is as follows:
Gray processing processing is carried out to Electronic Paper picture first, obtains gray processing picture, processing formula is as follows,
Wherein, R, G and B are primaries, and R is red, and G is green, and B is blue;
Using the central point of gray processing picture as origin, Gaussian Blur processing is carried out to gray processing picture, obtains Gaussian Blur picture, It is as follows to handle formula,
Wherein,xWithyThe pixel coordinate of gray processing picture,σForxStandard deviation;
According to gamma characteristic, Gaussian Blur picture is divided into background and prospect, binary conversion treatment is carried out to Gaussian Blur picture, is obtained To binaryzation picture, processing formula is as follows,
Wherein, u is the overall average gray scale of Gaussian Blur picture, and w0 is the ratio that prospect points account for Gaussian Blur picture, before u0 is The average gray of scape, w1 are the ratio that background points account for image, and u1 is the average gray of background, and g is the variance of foreground and background, T is the segmentation threshold of prospect and background, and when t makes value g maximum, t is then the optimal threshold of image segmentation;
Obtain the number of the white pixel point of binaryzation picture, the as area in the effective light transmission region of Electronic Paper picture;
The final aperture opening ratio for calculating Electronic Paper picture, calculation formula be,
X=w/Z;
Wherein, X refers to aperture opening ratio;
W refers to the number of the white pixel point of binaryzation picture;
Z refers to the number of total pixel of binaryzation picture.
CN201910290647.5A 2019-04-11 2019-04-11 Python-based electronic paper aperture opening ratio calculation method and device Pending CN110033485A (en)

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PCT/CN2019/087521 WO2020206815A1 (en) 2019-04-11 2019-05-20 Python-based method and device for calculating aperture ratio of electronic paper

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004341135A (en) * 2003-05-14 2004-12-02 Sharp Corp Device and method for computing opening ratio of liquid crystal display device
CN1668979A (en) * 2002-07-31 2005-09-14 富士通株式会社 Pattern size correcting device and pattern size correcting method
CN106228196A (en) * 2016-08-10 2016-12-14 中铁第勘察设计院集团有限公司 The sand proof net aperture opening ratio measuring and calculation method of optically-based projection
CN107220973A (en) * 2017-06-29 2017-09-29 浙江中烟工业有限责任公司 The hollow filter stick quick determination method of hexagon based on Python+OpenCV
CN108922964A (en) * 2018-08-01 2018-11-30 上海天马有机发光显示技术有限公司 A kind of determination method of OLED display panel aperture opening ratio

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1668979A (en) * 2002-07-31 2005-09-14 富士通株式会社 Pattern size correcting device and pattern size correcting method
JP2004341135A (en) * 2003-05-14 2004-12-02 Sharp Corp Device and method for computing opening ratio of liquid crystal display device
CN106228196A (en) * 2016-08-10 2016-12-14 中铁第勘察设计院集团有限公司 The sand proof net aperture opening ratio measuring and calculation method of optically-based projection
CN107220973A (en) * 2017-06-29 2017-09-29 浙江中烟工业有限责任公司 The hollow filter stick quick determination method of hexagon based on Python+OpenCV
CN108922964A (en) * 2018-08-01 2018-11-30 上海天马有机发光显示技术有限公司 A kind of determination method of OLED display panel aperture opening ratio

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Application publication date: 20190719