CN109141640A - Acetes chinensis method, system, equipment and storage medium based on machine vision - Google Patents
Acetes chinensis method, system, equipment and storage medium based on machine vision Download PDFInfo
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- CN109141640A CN109141640A CN201810878391.5A CN201810878391A CN109141640A CN 109141640 A CN109141640 A CN 109141640A CN 201810878391 A CN201810878391 A CN 201810878391A CN 109141640 A CN109141640 A CN 109141640A
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- 241000114727 Acetes chinensis Species 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004737 colorimetric analysis Methods 0.000 claims abstract description 10
- 230000006870 function Effects 0.000 claims description 8
- 238000012937 correction Methods 0.000 claims description 4
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 11
- 238000001746 injection moulding Methods 0.000 abstract description 3
- 238000007639 printing Methods 0.000 abstract description 3
- 238000012545 processing Methods 0.000 description 4
- 239000000243 solution Substances 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000035479 physiological effects, processes and functions Effects 0.000 description 1
- 230000003236 psychic effect Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
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- General Physics & Mathematics (AREA)
- Spectrometry And Color Measurement (AREA)
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Abstract
The acetes chinensis method based on machine vision that the invention discloses a kind of, comprising the following steps: obtain target object image information；Choose region to be compared；Color difference is calculated using CIE colour difference formula；And it is compared and judges with preset threshold.A kind of acetes chinensis system based on machine vision, comprising: image collection module obtains target object image information for executing step；Colorimetry module chooses region to be compared for executing step；Color difference is calculated using CIE colour difference formula；Color difference judgment module, for executing step and being compared and judge with preset threshold.And a kind of acetes chinensis equipment and readable storage medium storing program for executing based on machine vision.Acetes chinensis method, system, equipment and storage medium provided by the invention based on machine vision, the system operatio that this programme provides is simple, intuitive, it can be with the difference of Accurate Determining product surface color, detection efficiency is improved, can be used for printing, silk, injection molding etc. is to the every profession and trade of color difference strict control.
Description
Technical field
The present invention relates to field of image processings, specially the acetes chinensis method and system based on machine vision.
Background technique
In the production of industrial products, the color of different batches of product appearance is often variant.The reason of generating difference
It mainly include color ingredient, production technology etc..Currently, the method that product testing mostly uses greatly artificial detection, be easy by
The physiology and psychic influence of people.
Therefore, it is necessary to machine vision be introduced color detection, objectively to the difference between product and Standard colour board
Carry out quantization detection.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.For this purpose, of the invention
One purpose is to provide a kind of acetes chinensis method and system based on machine vision.
The technical scheme adopted by the invention is that:
The present invention provides a kind of acetes chinensis method based on machine vision, comprising the following steps:
Obtain target object image information；
Choose region to be compared；
Color difference is calculated using CIE colour difference formula；
And it is compared and judges with preset threshold.
As the improvement of the technical solution, target object image information is transformed into XYZ color sky by RGB color
Between；Then XYZ color space is transformed into LAB color space, to obtain the LAB color space of described image information.
As the improvement of the technical solution, the calculating color difference its specifically include:
Calculate lightness L, the coloration a and b, psychometric chroma C in LAB color spaceab；
Then L ', a ', b ', tone h' are calculatedab, regulatory factor G；
Calculate luminosity equation Δ L, chroma difference Δ Cab, hue difference Δ Hab；
Secondly, calculating weighting function SL、SC、SHWith rotation function RT、RC；
And select correction coefficient KL、KC、KH, to carry out Colorimetry.
Further, the threshold value is the statistical value obtained by experiment.
On the other hand, the acetes chinensis system based on machine vision that the present invention also provides a kind of, comprising:
Image collection module obtains target object image information for executing step；
Colorimetry module chooses region to be compared for executing step；Color difference is calculated using CIE colour difference formula；
Color difference judgment module, for executing step and being compared and judge with preset threshold.
In another aspect, the present invention also provides a kind of acetes chinensis equipment based on machine vision, comprising:
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out the method.
Fourth aspect, the present invention also provides a kind of computer readable storage medium, the computer readable storage medium is deposited
Computer executable instructions are contained, the computer executable instructions are used to that computer to be made to execute the method.
The beneficial effects of the present invention are: the acetes chinensis method provided by the invention based on machine vision, system, equipment and
Storage medium, selects suitable color space first, and suitable Colorimetry formula is then selected to calculate color difference.Using the party
Case improves the efficiency and accuracy of acetes chinensis.The system operatio that this programme provides is simple, intuitive, can be produced with Accurate Determining
The difference of product surface color, improves detection efficiency, can be used for printing, silk, injection molding etc. is to the every profession and trade of color difference strict control.
Detailed description of the invention
Fig. 1 is the control schematic diagram of one embodiment of the invention.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.
The method that this programme uses chromatic image processing, i.e. color with fidelity synthetic technology.It can decompose color image
At each 256 grades of levels of red, green, blue, 16,770,000 kinds of colour components in total, and according to the level difference of various colors to different colors
It is defined, then createing can be according to the algorithm for defining the similar point of detection image structure and image change point.With only
The monochromatic image processing mode for the 256 grades of gray-levels identification having is compared, and the recognition capability of color with fidelity synthesis mode improves
About 65000 times.It in this way, can be with the identical speed of monochromatic image processing mode, the high-precision original nothing of detection
The delicate color difference that method distinguishes.
Preferably, the system include computer, industrial camera, roof lamp source, integrated stand and to acquired image into
The acetes chinensis software of row analysis can carry out precise acquisition to product appearance color using industrial camera.Light source is with ball product
The hemisphere inner wall for dividing effect, can keep the illumination of whole image very equal with non-uniform reflection from 360 degree of the bottom light emitted
It is even.Integrated stand is used to fixed camera and adjusts the position between roof lamp and camera.Acetes chinensis software uses MSVisual
Studio 2003 writes.
This programme selects suitable color space first, and suitable Colorimetry formula is then selected to calculate color difference.
The selection of color space
Color space includes RGB color, XYZ color space, 3 kinds of LAB color space.Wherein, RGB color is
It is non-uniform, it cannot be used to calculate color difference.Although XYZ color space eliminates r, g, b and the case where negative occurs, but be also unevenness
Even color space, it is impossible to be used in the calculating of color difference.LAB colour model is by 3 L (lightness), A (color), B (color) elements
Composition.Wherein, A indicates the range from red to green, and B indicates the range from yellow to blue.LAB color space is one equal
Even color space meets the visual experience of people.When color difference by human eye identify and this difference be less than again it is adjacent
When the value of chromatism of two-stage, it can reflect practical impression of the observer to product.
Therefore RGB color is first transformed into XYZ color space, RGB color to XYZ color space conversion formula
Are as follows:
Secondly, XYZ color space is transformed into LAB color space, conversion formula are as follows:
A=500x (f (X | Xn)-f(Y|Yn)) (3)
B=200x (f (Y | Yn)-f(Z|Zn)) (4)
Wherein, Xn=95.04, Yn=100.00, Zn=108.89 be CIE standard illuminants D65White light tristimulus values.
The selection of colour difference formula
After being transformed into LAB color space, the colour difference formula of available LAB color space:
It wherein, is the value of chromatism in LAB color space.But CIE1976LAB is not equal for the detection of small color difference
Even color space.So International Commission on Illumination proposes on the basis of LAB colour difference formula when 2001
CIEDE2000 colour difference formula has well solved the detection to small color difference.Therefore use CIEDE2000 colour difference formula as follows:
Step 1: calculating the lightness L in LAB color space, coloration a and b, psychometric chroma Cab。
Step 2: calculating L ', a ', b ', tone h'ab, regulatory factor G.
Wherein,For products C to be measuredab1With Standard colour board Cab2Arithmetic mean of instantaneous value.
Step 3: calculating luminosity equation Δ L, chroma difference Δ Cab, hue difference Δ Hab。
Step 4: calculating weighting function SL、SC、SHWith rotation function RT、RC
RT=-sin (2 Δ θ) xRC
Step 5: selection KL、KC、KH, wherein KL、KC、KHIt is the correction coefficient determined according to actual service conditions.In CIE
Under the conditions of standard observation, K is takenL=KC=KH=1.
Step 6: calculating color difference.
Color difference Δ E is calculated with formula (7)00Size.
Acetes chinensis control flow is as shown in Figure 1.A kind of acetes chinensis method based on machine vision, including following step
It is rapid:
Obtain target object image information；
Choose region to be compared；
Color difference is calculated using CIE colour difference formula；
And it is compared and judges with preset threshold.
As the improvement of the technical solution, target object image information is transformed into XYZ color sky by RGB color
Between；Then XYZ color space is transformed into LAB color space, to obtain the LAB color space of described image information.
As the improvement of the technical solution, the calculating color difference its specifically include:
Calculate lightness L, the coloration a and b, psychometric chroma C in LAB color spaceab；
Then L ', a ', b ', tone h' are calculatedab, regulatory factor G；
Calculate luminosity equation Δ L, chroma difference Δ Cab, hue difference Δ Hab；
Secondly, calculating weighting function SL、SC、SHWith rotation function RT、RC；
And select correction coefficient KL、KC、KH, to carry out Colorimetry.
Further, the threshold value is the statistical value obtained by experiment.
Start camera and reads in picture.Comparison domain is selected, color difference is calculated.It is compared, and judges with threshold value.Wherein
Threshold value be that a statistical value obtained in a large amount of detection tests judges product when calculated color difference is greater than this threshold value
Color is unqualified.Conversely, when being less than this threshold value, then it is assumed that product colour is qualified.
Wherein camera is mainly used to acquire image and acquired image is transmitted to action pane.Inside action pane,
User chooses 2 rectangular areas, respectively on Standard colour board and product to be measured, then can calculate on collected picture
Color difference between the two.Testing staff can judge whether product is qualified according to the size that detected color difference.It is sent out by experiment
It is existing, when selecting 2 rectangular areas on Standard colour board, it at this moment can find color difference very little.
On the other hand, the acetes chinensis system based on machine vision that the present invention also provides a kind of, comprising:
Image collection module obtains target object image information for executing step；
Colorimetry module chooses region to be compared for executing step；Color difference is calculated using CIE colour difference formula；
Color difference judgment module, for executing step and being compared and judge with preset threshold.
In another aspect, the present invention also provides a kind of acetes chinensis equipment based on machine vision, comprising:
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out the method.
Fourth aspect, the present invention also provides a kind of computer readable storage medium, the computer readable storage medium is deposited
Computer executable instructions are contained, the computer executable instructions are used to that computer to be made to execute the method.
Acetes chinensis method, system, equipment and storage medium provided by the invention based on machine vision, selects first
Then suitable color space selects suitable Colorimetry formula to calculate color difference.Using the program, the effect of acetes chinensis is improved
Rate and accuracy.The system operatio that this programme provides is simple, intuitive, can be improved with the difference of Accurate Determining product surface color
Detection efficiency can be used for printing, silk, injection molding etc. is to the every profession and trade of color difference strict control.
It is to be illustrated to preferable implementation of the invention, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all included in the scope defined by the claims of the present application.
Claims (7)
1. a kind of acetes chinensis method based on machine vision, which comprises the following steps:
Obtain target object image information；
Choose region to be compared；
Color difference is calculated using CIE colour difference formula；
And it is compared and judges with preset threshold.
2. the acetes chinensis method according to claim 1 based on machine vision, which is characterized in that its further include: by mesh
It marks object image information and XYZ color space is transformed by RGB color；Then it is empty XYZ color space to be transformed into LAB color
Between, to obtain the LAB color space of described image information.
3. the acetes chinensis method according to claim 1 or 2 based on machine vision, which is characterized in that the calculating color
Poor its specifically includes:
Calculate lightness L, the coloration a and b, psychometric chroma C in LAB color spaceab；
Then L ', a ', b ', tone h' are calculatedab, regulatory factor G；
Calculate luminosity equation Δ L, chroma difference Δ Cab, hue difference Δ Hab；
Secondly, calculating weighting function SL、SC、SHWith rotation function RT、RC；
And select correction coefficient KL、KC、KH, to carry out Colorimetry.
4. the acetes chinensis method according to claim 3 based on machine vision, which is characterized in that the threshold value is to pass through
Test the statistical value obtained.
5. a kind of acetes chinensis system based on machine vision characterized by comprising
Image collection module obtains target object image information for executing step；
Colorimetry module chooses region to be compared for executing step；Color difference is calculated using CIE colour difference formula；
Color difference judgment module, for executing step and being compared and judge with preset threshold.
6. a kind of acetes chinensis equipment based on machine vision characterized by comprising
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
It manages device to execute, so that at least one described processor is able to carry out such as the described in any item methods of Claims 1-4.
7. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer can
It executes instruction, the computer executable instructions are for making computer execute such as the described in any item methods of Claims 1-4.
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110108362A (en) * | 2019-04-17 | 2019-08-09 | 江苏理工学院 | The adaptive online test method of color difference and device based on SLIC super-pixel segmentation |
| CN110378393A (en) * | 2019-06-26 | 2019-10-25 | 江苏理工学院 | A kind of mixing printing product acetes chinensis method based on PSO-GSA-SVM |
| CN110426222A (en) * | 2019-07-16 | 2019-11-08 | 北京中家智信信息技术有限公司 | A kind of washing machine Anti-fade performance test methods |
| CN111579505A (en) * | 2020-04-23 | 2020-08-25 | 河南中烟工业有限责任公司 | Cigarette packaging material color difference detection method based on digital image processing |
| CN111798528A (en) * | 2020-07-01 | 2020-10-20 | 西交利物浦大学 | Fabric color difference detection method, device, storage medium and equipment |
| CN111862186A (en) * | 2020-06-29 | 2020-10-30 | 湖北中烟工业有限责任公司 | Color difference control method and device for cigarette wrapping paper |
| CN112200242A (en) * | 2020-10-09 | 2021-01-08 | 陕西科技大学 | Color classification method for drawing Thangka image, computer equipment, terminal and medium |
| CN112529970A (en) * | 2019-10-22 | 2021-03-19 | 卜风雷 | Mobile on-site big data analysis platform |
| CN112766187A (en) * | 2021-01-25 | 2021-05-07 | 佛山科学技术学院 | Rapeseed oil heating time prediction system and method |
| CN112798107A (en) * | 2021-01-18 | 2021-05-14 | 北京印刷学院 | Method for calculating color difference threshold of cigarette packet holographic printed matter |
| CN112861920A (en) * | 2021-01-15 | 2021-05-28 | 佛山科学技术学院 | Palm oil heating time prediction system and method |
| CN113546874A (en) * | 2021-07-15 | 2021-10-26 | 厦门强力巨彩光电科技有限公司 | SMT PCB ink color classification method |
| CN113670443A (en) * | 2021-07-09 | 2021-11-19 | 北京中科慧眼科技有限公司 | Color difference measuring method and system based on device-independent color space and intelligent terminal |
| CN113781451A (en) * | 2021-09-13 | 2021-12-10 | 长江存储科技有限责任公司 | Wafer detection method and device, electronic equipment and computer readable storage medium |
| CN114184278A (en) * | 2021-12-20 | 2022-03-15 | 湘潭大学 | Door and window color difference detection device and color difference detection algorithm |
| CN117524432A (en) * | 2023-11-09 | 2024-02-06 | 中国人民解放军总医院京南医疗区 | Blood transport system and method based on ai image processing technology |
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| CN110108362A (en) * | 2019-04-17 | 2019-08-09 | 江苏理工学院 | The adaptive online test method of color difference and device based on SLIC super-pixel segmentation |
| CN110378393A (en) * | 2019-06-26 | 2019-10-25 | 江苏理工学院 | A kind of mixing printing product acetes chinensis method based on PSO-GSA-SVM |
| CN110426222A (en) * | 2019-07-16 | 2019-11-08 | 北京中家智信信息技术有限公司 | A kind of washing machine Anti-fade performance test methods |
| CN110426222B (en) * | 2019-07-16 | 2021-03-02 | 北京中家智信信息技术有限公司 | Washing machine anti-fading performance testing method |
| CN112529970A (en) * | 2019-10-22 | 2021-03-19 | 卜风雷 | Mobile on-site big data analysis platform |
| CN111579505A (en) * | 2020-04-23 | 2020-08-25 | 河南中烟工业有限责任公司 | Cigarette packaging material color difference detection method based on digital image processing |
| CN111862186A (en) * | 2020-06-29 | 2020-10-30 | 湖北中烟工业有限责任公司 | Color difference control method and device for cigarette wrapping paper |
| CN111862186B (en) * | 2020-06-29 | 2024-02-27 | 湖北中烟工业有限责任公司 | Color difference control method and device for cigarette packaging paper |
| CN111798528A (en) * | 2020-07-01 | 2020-10-20 | 西交利物浦大学 | Fabric color difference detection method, device, storage medium and equipment |
| CN112200242B (en) * | 2020-10-09 | 2023-06-20 | 陕西科技大学 | Color classification method, computer equipment, terminal and medium for drawing Thangka image |
| CN112200242A (en) * | 2020-10-09 | 2021-01-08 | 陕西科技大学 | Color classification method for drawing Thangka image, computer equipment, terminal and medium |
| CN112861920A (en) * | 2021-01-15 | 2021-05-28 | 佛山科学技术学院 | Palm oil heating time prediction system and method |
| CN112798107A (en) * | 2021-01-18 | 2021-05-14 | 北京印刷学院 | Method for calculating color difference threshold of cigarette packet holographic printed matter |
| CN112798107B (en) * | 2021-01-18 | 2023-06-20 | 北京印刷学院 | Color difference threshold calculation method for holographic printed matter of tobacco package |
| CN112766187A (en) * | 2021-01-25 | 2021-05-07 | 佛山科学技术学院 | Rapeseed oil heating time prediction system and method |
| CN113670443A (en) * | 2021-07-09 | 2021-11-19 | 北京中科慧眼科技有限公司 | Color difference measuring method and system based on device-independent color space and intelligent terminal |
| CN113670443B (en) * | 2021-07-09 | 2024-01-12 | 北京中科慧眼科技有限公司 | Color difference measurement method and system based on device-independent color space and intelligent terminal |
| CN113546874A (en) * | 2021-07-15 | 2021-10-26 | 厦门强力巨彩光电科技有限公司 | SMT PCB ink color classification method |
| CN113781451A (en) * | 2021-09-13 | 2021-12-10 | 长江存储科技有限责任公司 | Wafer detection method and device, electronic equipment and computer readable storage medium |
| CN113781451B (en) * | 2021-09-13 | 2023-10-17 | 长江存储科技有限责任公司 | Wafer detection method, device, electronic equipment and computer readable storage medium |
| CN114184278A (en) * | 2021-12-20 | 2022-03-15 | 湘潭大学 | Door and window color difference detection device and color difference detection algorithm |
| CN117524432A (en) * | 2023-11-09 | 2024-02-06 | 中国人民解放军总医院京南医疗区 | Blood transport system and method based on ai image processing technology |
| CN117524432B (en) * | 2023-11-09 | 2024-05-31 | 中国人民解放军总医院京南医疗区 | Blood transport system and method based on ai image processing technology |
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