CN109089096A - A kind of adaptive cloth acetes chinensis is anti-light to shine interference method - Google Patents
A kind of adaptive cloth acetes chinensis is anti-light to shine interference method Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/68—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/73—Colour balance circuits, e.g. white balance circuits or colour temperature control
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Abstract
It is anti-light according to interference method that the present invention provides a kind of adaptive cloth acetes chinensis, is related to cloth acetes chinensis technical field, including the calculating of Image Acquisition, color space conversion, color temperature estimation, channel gain, color temperature correction, acetes chinensis and result treatment step.The method of the present invention, using white balance algorithm, realizes the anti-light detection according to interference of adaptive cloth color difference on the basis of color temperature estimation；The present invention has fully considered Y and Cb in YCbCr color space, and the correlation between Cr selects more suitable white pixel and carries out average color difference calculating, to improve the precision of color temperature estimation；The present invention has preferable robustness to illumination interference.
Description
Technical field
The invention belongs to acetes chinensis technical fields, and in particular to a kind of adaptive cloth acetes chinensis is anti-light according to interference
Method.
Background technique
In textile printing and dyeing industry, the color difference between measurement dyeing cloth has considerable meaning in the industrial production
Color difference in justice, especially printing and dyeing mill between production sample and standard sample is an important indicator of quality management.Cloth exists
The color presented under different light sources is different.Different light environment, it will between the color for leading to the cloth image of acquisition
There are a degree of deviation, this deviation will will affect the accuracy of subsequent image analysis.
Different light sources has different spectral component and distribution, this is referred to as colour temperature in colorimetry.The same object,
Different colors can be presented under different illumination conditions.The brain of people can be detected and correct the change of the color under different illumination
More, no matter therefore under sunlight, interior, shade or fluorescence, the white object that people are seen be still white.But image
Sensor does not have this adaptability, and the image of sensor output is it is possible that color distortion, image are partially red or partially blue.Therefore,
Color difference caused by different-colour must be corrected, to make object that real color be presented.
(1) the technical issues of solving
In order to solve the defect problem of the above-mentioned prior art, the anti-light robustness according to interference of cloth acetes chinensis is improved, originally
Invention proposes a kind of anti-light method according to interference of adaptive cloth acetes chinensis.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs:
A kind of adaptive cloth acetes chinensis is anti-light to shine interference method, comprising the following steps:
S1, under different illumination conditions, with the colorful CCD camera of same model simultaneously to the cloth and standard after printing and dyeing
Cloth carries out real-time online shooting；
S2, it image is transformed into YCbCr color space carries out color temperature estimation, estimate the average color difference of image；
S3, color temp estimation on the basis of, calculate channel gain；
S4, on the basis of obtaining channel gain, blue to image and red channel carry out color temperature correction, are corrected
Image afterwards；
S5, the image of image after correction is transformed under CIELAB color space, based in CIELAB color space, is adopted
With color difference typical value Δ E*As evaluation criterion.
Further, the step S2 picks out suitable pixel by constraint condition to calculate color difference.
Further, the constraint condition in the step S2 color temperature estimation is Y- | Cb |-| Cr | the value of > φ, φ are 180.
Further, the step S3 makes Cb and Cr close to 0 according to the relationship of Cb and Cr by constantly iterating to calculate.
Further, in the step S3, the number of iterations is in channel gain calculating if more than 25 times, then step-length λ is adjusted are as follows:
λ=0.02.
Further, in the step S3, when the number of iterations is greater than 40 times in channel gain calculating, step-length λ adjustment are as follows: λ
=0.005.
Further, in the step S3, when the number of iterations is greater than 55 times in channel gain calculating, step-length λ adjustment are as follows: λ
=0.001.
Further, in the step S4, the R of each pixel of image and channel B are multiplied by gain system by color temperature correction respectively
Number, recalculates the color difference of image after color temperature correction, if color difference Cb and Cr do not have enough small, return step S3.
Further, in the step S5, the calculating of color difference is based on CIELAB color space model, and CIELAB is used
L*, a* and b* reference axis define CIE color space, and all with L*, a*, b*, these three numerical value indicate all colours, Colorimetry table
It is shown as the difference of L*, a* and b* between tested cloth and standard cloth, is indicated with Δ L*, Δ a*, Δ b*, Δ E* indicates that total color difference is i.e. flat
Equal color difference,
CIELAB color difference formula:
(3) beneficial effect
Beneficial effects of the present invention: a kind of adaptive cloth acetes chinensis is anti-light to shine interference method, including Image Acquisition,
Color space conversion, color temperature estimation, channel gain calculating, color temperature correction, acetes chinensis and result treatment step；The method of the present invention
On the basis of color temperature estimation, using white balance algorithm, the anti-light detection according to interference of adaptive cloth color difference is realized；This hair
Bright to have fully considered Y and Cb in YCbCr color space, the correlation between Cr selects more suitable white pixel and is averaged
Colorimetry, to improve the precision of color temperature estimation；The present invention has preferable robustness to illumination interference.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the method for the present invention flow chart.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In conjunction with Fig. 1, a kind of adaptive cloth acetes chinensis is anti-light to shine interference method, comprising the following steps:
S1, under different illumination conditions, with the colorful CCD camera of same model simultaneously to the cloth and standard after printing and dyeing
Cloth carries out real-time online shooting；
S2, it image is transformed into YCbCr color space carries out color temperature estimation；Color temperature estimation is proposed in step S2, i.e.,
Estimate the average color difference of image.Part colour temperature algorithm is the average color difference for calculating entire image, but such calculation amount ten
Divide huge.The present invention picks out suitable pixel by certain constraint condition to calculate color difference, greatly reduces color temperature estimation
When calculation amount.Constraint condition in color temperature estimation is Y- | Cb |-| Cr | the value of > φ, φ are 180.
S3, color temp estimation on the basis of, calculate channel gain；Channel gain calculating, root are proposed in step S3
Channel gain coefficient is adjusted, meets Cb and Cr by constantly iterating to calculate by constantly iterating to calculate according to the relationship of Cb and Cr
Nearly 0.The number of iterations is in channel gain calculating if more than 25 times, then step-length λ is adjusted are as follows: λ=0.02；When the number of iterations is greater than 40 times
When, step-length λ adjustment are as follows: λ=0.005；When the number of iterations is greater than 55 times, step-length λ adjustment are as follows: λ=0.001.
S4, on the basis of obtaining channel gain, blue to image and red channel carry out color temperature correction, are corrected
Image afterwards；Color temperature correction is proposed in step S4, the R of each pixel of image and channel B are multiplied by gain coefficient respectively.Again
The color difference of image after calculating color temperature correction, if color difference Cb and Cr do not have enough small, return step S3.
S5, the image of image after correction is transformed under CIELAB color space, based in CIELAB color space, is adopted
With color difference typical value Δ E*As evaluation criterion.To the cloth after correction, under based on CIELAB color space, using averaging
Method obtain color difference typical value, then calculate the variance of value of chromatism, characterize the situation of change of color difference.
The calculating of color difference is based on CIELAB color space model, and CIELAB uses L*, a* and b* reference axis defines CIE face
The colour space, all colours these three numerical value can be indicated with L*, a*, b*.Colorimetry can be expressed as tested cloth and mark
The difference of L*, a* and b* between quasi- cloth indicate that Δ E* indicates total color difference, that is, average color difference with Δ L*, Δ a*, Δ b*,
CIELAB color difference formula:
Embodiment 1:
A kind of adaptive cloth acetes chinensis is anti-light to shine interference method, comprising the following steps:
S1, under different illumination conditions, with the colorful CCD camera of same model simultaneously to the cloth and standard after printing and dyeing
Cloth carries out real-time online shooting；
S2, it image is transformed into YCbCr color space carries out color temperature estimation；Conjunction is picked out by certain constraint condition
Suitable pixel calculates color difference, greatly reduces calculation amount when color temperature estimation.Constraint condition in color temperature estimation is Y- | Cb |-
| Cr | the value of > φ, φ are 180.
S3, color temp estimation on the basis of, calculate channel gain；According to the relationship of Cb and Cr, by constantly changing
In generation, calculates, and adjusts channel gain coefficient, makes Cb and Cr close to 0 by constantly iterating to calculate.The number of iterations in channel gain calculating
If more than 25 times, then step-length λ is adjusted are as follows: λ=0.02.
S4, on the basis of obtaining channel gain, blue to image and red channel carry out color temperature correction, are corrected
Image afterwards；The R of each pixel of image and channel B are multiplied by gain coefficient respectively.Recalculate the color of image after color temperature correction
Difference, if color difference Cb and Cr do not have enough small, return step S3.
S5, the image of image after correction is transformed under CIELAB color space, based in CIELAB color space, is adopted
With color difference typical value Δ E*As evaluation criterion.The calculating of color difference is based on CIELAB color space model, and CIELAB uses L*, a*
CIE color space is defined with b* reference axis, all colours these three numerical value can be indicated with L*, a*, b*.Colorimetry can be with
It is expressed as the difference of L*, a* and b* between tested cloth and standard cloth, is indicated with Δ L*, Δ a*, Δ b*, Δ E* indicates that total color difference is
Average color difference,
CIELAB color difference formula:
Embodiment 2:
A kind of adaptive cloth acetes chinensis is anti-light to shine interference method, comprising the following steps:
S1, under different illumination conditions, with the colorful CCD camera of same model simultaneously to the cloth and standard after printing and dyeing
Cloth carries out real-time online shooting；
S2, it image is transformed into YCbCr color space carries out color temperature estimation；Conjunction is picked out by certain constraint condition
Suitable pixel calculates color difference, greatly reduces calculation amount when color temperature estimation.Constraint condition in color temperature estimation is Y- | Cb |-
| Cr | the value of > φ, φ are 180.
S3, color temp estimation on the basis of, calculate channel gain；According to the relationship of Cb and Cr, by constantly changing
In generation, calculates, and adjusts channel gain coefficient, makes Cb and Cr close to 0 by constantly iterating to calculate.The number of iterations in channel gain calculating
When greater than 40 times, step-length λ adjustment are as follows: λ=0.005.
S4, on the basis of obtaining channel gain, blue to image and red channel carry out color temperature correction, are corrected
Image afterwards；The R of each pixel of image and channel B are multiplied by gain coefficient respectively.Recalculate the color of image after color temperature correction
Difference, if color difference Cb and Cr do not have enough small, return step S3.
S5, the image of image after correction is transformed under CIELAB color space, based in CIELAB color space, is adopted
With color difference typical value Δ E*As evaluation criterion.The calculating of color difference is based on CIELAB color space model, and CIE LAB uses L*,
A* and b* reference axis defines CIE color space, and all colours these three numerical value can be indicated with L*, a*, b*.Colorimetry can
To be expressed as the difference of L*, a* and b* between tested cloth and standard cloth, indicated with Δ L*, Δ a*, Δ b*, Δ E* indicates total color difference
That is average color difference,
CIELAB color difference formula:
Embodiment 3:
A kind of adaptive cloth acetes chinensis is anti-light to shine interference method, comprising the following steps:
S1, under different illumination conditions, with the colorful CCD camera of same model simultaneously to the cloth and standard after printing and dyeing
Cloth carries out real-time online shooting；
S2, it image is transformed into YCbCr color space carries out color temperature estimation；Conjunction is picked out by certain constraint condition
Suitable pixel calculates color difference, greatly reduces calculation amount when color temperature estimation.Constraint condition in color temperature estimation is Y- | Cb |-
| Cr | the value of > φ, φ are 180.
S3, color temp estimation on the basis of, calculate channel gain；According to the relationship of Cb and Cr, by constantly changing
In generation, calculates, and adjusts channel gain coefficient, makes Cb and Cr close to 0 by constantly iterating to calculate.The number of iterations in channel gain calculating
When greater than 55 times, step-length λ adjustment are as follows: λ=0.001.
S4, on the basis of obtaining channel gain, blue to image and red channel carry out color temperature correction, are corrected
Image afterwards；The R of each pixel of image and channel B are multiplied by gain coefficient respectively.Recalculate the color of image after color temperature correction
Difference, if color difference Cb and Cr do not have enough small, return step S3.
S5, the image of image after correction is transformed under CIELAB color space, based in CIELAB color space, is adopted
With color difference typical value Δ E*As evaluation criterion.The calculating of color difference is based on CIELAB color space model, and CIE LAB uses L*,
A* and b* reference axis defines CIE color space, and all colours these three numerical value can be indicated with L*, a*, b*.Colorimetry can
To be expressed as the difference of L*, a* and b* between tested cloth and standard cloth, indicated with Δ L*, Δ a*, Δ b*, Δ E* indicates total color difference
That is average color difference,
CIELAB color difference formula:
When it is implemented, two colorful CCD cameras, under different illumination conditions, captured in real-time is tested cloth and standard
Cloth image carries out color temperature estimation to the image that shooting obtains, and the target of color temperature estimation is exactly to estimate the average color difference of image.
In order to reduce calculation amount, according to Y and Cb, correlation between Cr determines constraint condition Y- | Cb |-| Cr | > φ.The constraint
It is a upper coarse and lower fine column, also, each CbCr plane is a diamond shape.When Y is smaller, Cb and Cr scope control is obtained
Very tight, only a small amount of pixel can participate in Colorimetry；And when Y increases, the range of Cb and Cr are accordingly amplified, and more pixels are made
It can participate in calculating, to improve precision while reducing calculation amount.On the basis of color temp estimation, pass through iteration
Method obtains channel gain.Channel gain i.e. the color temperature correction factor generally have blue and red two components, respectively to figure
The amplitude being adjusted as blue and red channel.The Cb and Cr of white are 0；Therefore, channel gain be exactly can be by Cb and Cr
Be adjusted to 0 (or close to 0) two coefficients μ and ν.According to the relationship of Cb and Cr, μ and ν are constantly adjusted by iteration step length λ
And carry out color temperature correction.After each iteration, new channel gain is exported, until Cb and Cr is equal to 0 (or close to 0).Then it utilizes
CIELAB color difference formula calculates the value of chromatism of image and standard picture after correction.
Color difference is two kinds of colors being indicated with numerical approach to the difference on people's color perception.The present invention uses L*a*b* face
The colour space, color difference are the distance of coordinate points spatially where two kinds of colors, and Colorimetry formula is as follows:
△ E*=[(△ L*) 2+ (△ a*) 2+ (△ b*) 2] 1/2；
△ L=L* sample-L* standard (lightness difference)；
△ a=a* sample-a* standard (red green difference)；
△ b=b* sample-b standard (yellow blue difference).
The unit of color difference indicates that referred to as 1NBS when △ E big belly value is 1,1 NBS are about as much as visual identity threshold value with NBS
5 times.Difference size of the size i.e. two kind color of △ E big belly value on visual experience, in value of chromatism and visual experience about
Such corresponding relationship: 0.0-0.5 (small color difference) feels atomic；0.5-1.5 (small color difference) feels slight；1.5-3 (smaller
Color difference), feel obvious；3-6 (larger color difference) feels apparent；6 or more (big color difference) feel strong.Pass through five figures of acquisition
Picture, is utilized respectively original image and the present invention treated image carries out color difference comparison, and color difference comparison result is as shown in table 1.
1 color difference comparison result of table
This experiment is carried out the present invention and is obtained processing result image using the original image under five groups of difference illumination, and is passed through
Lab colour difference formula calculates separately the color difference of the color difference of original image and standard picture, processing result image and standard picture.According to
Color difference the results show that the color difference of treated image and standard picture is reduced compared with the color difference of original image and standard picture,
Obtain good effect.The illumination condition of synchronization acquisition standard picture and acquisition are different by the illumination condition of altimetric image, protect
The diversity of light source is demonstrate,proved, so that preferably embodying the present invention has preferable robustness.
In conclusion the embodiment of the present invention, adaptive cloth acetes chinensis is anti-light to shine interference method, adaptive cloth
Acetes chinensis is anti-light to shine interference method, including Image Acquisition, color space conversion, color temperature estimation, channel gain calculate, colour temperature school
Just, acetes chinensis and result treatment step；The method of the present invention, using white balance algorithm, realizes on the basis of color temperature estimation
The anti-light detection according to interference of adaptive cloth color difference；The present invention has fully considered Y and Cb in YCbCr color space, between Cr
Correlation, select more suitable white pixel and carry out average color difference calculating, to improve the precision of color temperature estimation；The present invention is to light
There is preferable robustness according to interference.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these modification or
Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (9)
1. a kind of adaptive cloth acetes chinensis is anti-light to shine interference method, which comprises the following steps:
S1, under different illumination conditions, with the colorful CCD camera of same model simultaneously to the cloth and standard cloth after printing and dyeing
Carry out real-time online shooting；
S2, it image is transformed into YCbCr color space carries out color temperature estimation, estimate the average color difference of image；
S3, color temp estimation on the basis of, calculate channel gain；
S4, on the basis of obtaining channel gain, blue to image and red channel carry out color temperature correction, after being corrected
Image；
S5, the image of image after correction is transformed under CIELAB color space, in being based on CIELAB color space, using color
Poor mean value Δ E*As evaluation criterion.
2. a kind of adaptive cloth acetes chinensis as described in claim 1 is anti-light to shine interference method, it is characterised in that: described
Step S2 picks out suitable pixel by constraint condition to calculate color difference.
3. a kind of adaptive cloth acetes chinensis as claimed in claim 2 is anti-light to shine interference method, which is characterized in that described
Constraint condition in step S2 color temperature estimation is Y- | Cb |-| Cr | the value of > φ, φ are 180.
4. a kind of adaptive cloth acetes chinensis as described in claim 1 is anti-light to shine interference method, which is characterized in that described
Step S3 makes Cb and Cr close to 0 according to the relationship of Cb and Cr by constantly iterating to calculate.
5. a kind of adaptive cloth acetes chinensis as claimed in claim 4 is anti-light to shine interference method, which is characterized in that described
In step S3, the number of iterations is in channel gain calculating if more than 25 times, then step-length λ is adjusted are as follows: λ=0.02.
6. a kind of adaptive cloth acetes chinensis as claimed in claim 4 is anti-light to shine interference method, which is characterized in that described
In step S3, when the number of iterations is greater than 40 times in channel gain calculating, step-length λ adjustment are as follows: λ=0.005.
7. a kind of adaptive cloth acetes chinensis as claimed in claim 4 is anti-light to shine interference method, which is characterized in that described
In step S3, when the number of iterations is greater than 55 times in channel gain calculating, step-length λ adjustment are as follows: λ=0.001.
8. a kind of adaptive cloth acetes chinensis as described in claim 1 is anti-light to shine interference method, which is characterized in that described
In step S4, the R of each pixel of image and channel B are multiplied by gain coefficient by color temperature correction respectively, after recalculating color temperature correction
The color difference of image, if color difference Cb and Cr do not have enough small, return step S3.
9. a kind of adaptive cloth acetes chinensis as described in claim 1 is anti-light to shine interference method, which is characterized in that described
In step S5, the calculating of color difference is based on CIELAB color space model, and CIELAB uses L*, a* and b* reference axis defines CIE
Color space, all with L*, a*, b*, these three numerical value indicate all colours, and Colorimetry is expressed as tested cloth and standard cloth
Between L*, a* and b* difference, with Δ L*, Δ a*, Δ b* indicate, Δ E* indicate total color difference, that is, average color difference,
CIELAB color difference formula:
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Application publication date: 20181225 |