CN106485257A - The washing detergency objective evaluation device and method that view-based access control model is perceived - Google Patents
The washing detergency objective evaluation device and method that view-based access control model is perceived Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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Abstract
It is an object of the invention to provide a kind of simple to operate, and can intuitively show the removal of spot and the detergency evaluation method of residual.In order to achieve the above object, a technical scheme of the present invention there is provided a kind of washing detergency objective evaluation device of view-based access control model perception.Another technical scheme of the present invention there is provided a kind of washing detergency method for objectively evaluating of view-based access control model perception.The invention has the advantages that：Therefore there is preferable stability and instantaneity；Overcome that artificial grading individual difference is big, stability is poor, the low problem of precision, with stronger robustness；Cloth textured impact in traditional images cutting techniques is overcome, and identical with artificial grading matrix essence.
Description
Technical field
The present invention relates to a kind of view-based access control model perceive for the device of objective evaluation washing detergency and adopt the device
Method.
Background technology
Detergency is to characterize one of important indicator of detergent and washing facility performance.Correct evaluation detergent and washing set
Standby decontamination effect, sets up a set of effective ways for evaluating detergency, in order to screen optimal detergent compositions and washing procedure, also for
Research detergency mechanism provides effective test method.According to the difference of evaluation method, detergency evaluation method is broadly divided into
Subjective assessment and objective evaluation.Subjective assessment is many according to AATCC130-2000 standard, evaluates spot by the way of artificial grading
Residual degree.Artificial grading is affected by subjective factor, and individual difference is big, stability is poor, precision is low.With novel washing machine
Research and development with washing assisant and the popularization of textile soil resistant finish technology, need more accurate, reliability, the objective of high precision badly and comment
Level method.
Objective evaluation is based on gravimetric method and Optical Analysis Method (reflectivity).But gravimetric method can be because of dirt institute before and after washing
Moisture content is different and produce error, therefore, it is necessary to the spot for making the absorption of pollution cloth enough, and must dry to perseverance before and after testing
Weight.GB/T 4288-2008《Family expenses and similar applications electric washer》In define two kinds based on material to the absorption of light and swash
The assay method that the reflection of light is set up after sending out：(1) adopt photoelectric reflection rate meter, using before washing-washing back reflection rate difference ratio
Characterized；(2) spot residual K/S value is measured using whiteness instrument, weighs, using fabric apparent shade depth, the rate of cleaning.This two
Plant requirement of the method for testing to equipment, spot sample position more harsh, complex operation, it is impossible to intuitively show the removal of spot
With residual.
Content of the invention
It is an object of the invention to provide one kind is simple to operate, and the detergency of the removal and residual that can intuitively show spot is commented
Valency method.
In order to achieve the above object, a technical scheme of the present invention there is provided a kind of view-based access control model perception washing go
Dirty power objective evaluation device, it is characterised in that include：
Including vertical casing, stable light source space is provided, for fixed camera, annular standard sources and sample mount；
Annular standard sources, the top being fixed in vertical box body, is that IMAQ provides unification stable light source, different
The collection of type spot image adopts different annular standard sources, accurately the misalignment before and after the washing of check and correction spot；
Camera, the top being fixed in vertical box body, realize upload value computer after the collection of spot image；
Height Adjustable sample mount, for placing sample.
Preferably, the sample mount is made up of the pallet of Height Adjustable helical structure and 350～650mm of diameter,
Tray center is relative with the camera lens center, wherein, realizes rising and the reduction of pallet, pallet by adjustable screw structure
Adjustable range be holding tray surface away from the camera 200mm～600mm.
Preferably, with the tray center as initial point, with 1cm as interval, different yardsticks are carved with the pallet.
Preferably, also include the servicing unit for fixing tableware, to realize side image collection.
Preferably, the camera is located at the home position of the annular standard sources.
Another technical scheme of the present invention there is provided a kind of washing detergency objective evaluation side of view-based access control model perception
Method, it is characterised in that comprise the following steps：
Step 1, by device as claimed in claim 1 obtain sample washing before spot RGB color image and washing
RGB color image to be evaluated afterwards；
Step 2, the spot RGB color image of acquisition and RGB color image to be evaluated are all changed to Lab color space,
Obtain spot Lab coloured image and Lab coloured image to be evaluated；
Step 3, obtain from tri- passages of L, a, b sampling of spot Lab coloured image and Lab coloured image to be evaluated random
Area-of-interest, and calculate the significant characteristics value of each area-of-interest；
Step 4, will be special for the conspicuousness under tri- passages of L, a, b of spot Lab coloured image and Lab coloured image to be evaluated
Value indicative according to size be respectively mapped to (0～100), (- 128～127), between (- 128～127), and be switched again to RGB color
Color space, obtains by spot notable figure Z and notable figure R to be evaluated of different colours Visualization；
Step 5, calculating spot notable figure Z and similarity S (Z, R) of notable figure R to be evaluated, then have：
In formula, n=768, pZ (Fj) in spot notable figure Z
Corresponding to significant characteristics value FjThe frequency at place, pR (Fj) for corresponding to significant characteristics value F in spot notable figure RjThe frequency at place
Rate.
Preferably, in the step 2, the spot RGB color image or the RGB color image to be evaluated are all turned
Shift to Lab color space to comprise the following steps：
RGB color image is changed to Lab color space using polynomial regression：
P (x, y, z)=a1x+a2y+a3z+a4xy+a5yz+a6Zx, in formula, P (x, y, z) represents the L in Lab color space
Any one in value, a value or b value, x, y, z represent R value, G value and the B value of rgb color space；
a1=(V1V1 T)-1(V1P), V1 TRepresent V1Transposition,
Represent V2Transposition,
Represent V3Transposition,
Represent V4Transposition,
Represent V5Transposition,
Represent V6Transposition,
xi, yi, ziRepresent the R of ith pixel point in the spot RGB color image or the RGB color image to be evaluated
Value, G value and B value, i=1 ..., N, N represent pixel in the spot RGB color image or the RGB color image to be evaluated
Number；
P=[P1..., PN]T, PiRepresent ith pixel point in spot Lab coloured image or Lab coloured image to be evaluated
Any one in L value, a value or b value, i=1 ..., N.
Preferably, the step 3 is comprised the following steps：
Step 3.1, tri- passages of L, a, b random life respectively from spot Lab coloured image or Lab coloured image to be evaluated
Become m window, calculate the gray average of each window In formula, GSFor gray scale and, be area, S is that gray scale is equal
Value；
Step 3.2, calculated on tri- passages of L, a, b respectively each pixel in each window conspicuousness mapping, wherein：
The conspicuousness mapping FL of pixel (i, j) t-th window under L * channelI, j, t,FLI, j, t-1Represent that pixel (i, the j) conspicuousness of t-1 window under L * channel is reflected
Penetrate, ILI, j, tRepresent the brightness value of pixel (i, j) t-th window under L * channel,Represent the ash of t-th window under L * channel
Degree average；
The conspicuousness mapping Fa of pixel (i, j) t-th window under a passageI, j, t,FaI, j, t-1Represent that pixel (i, the j) conspicuousness of t-1 window under a passage is reflected
Penetrate, IaI, j, tRepresent the brightness value of pixel (i, j) t-th window under a passage；
The conspicuousness mapping Fb of pixel (i, j) t-th window under b passageI, j, t,FbI, j, t-1Represent that pixel (i, the j) conspicuousness of t-1 window under b passage is reflected
Penetrate, IbI, j, tRepresent the brightness value of pixel (i, j) t-th window under b passage；
Step 3.3, each window are an area-of-interest, then be calculated the significant characteristics of each area-of-interest
Value, wherein：
The significant characteristics value of pixel (i, j) t-th area-of-interest under tri- passages of L, a, b is FMI, j, t,
The invention has the advantages that：
1st, under standard D65 light source, using online real time collecting device, the collection position of image has been consolidated, has simulated human eye
Visual theory, will be analyzed using proprietary thread remote control shooting image and in real time in incoming for data computer in time, is therefore had
There are preferable stability and instantaneity；
2nd, image procossing mode is facilitated fast, overcomes that artificial grading individual difference is big, stability is poor, precision is low asks
Topic, with stronger robustness；
3rd, by human visual attention is simulated, target interest region is followed the trail of using image processing techniques, split stained region,
Decontamination effect is weighed using color similarity, overcomes cloth textured impact in traditional images cutting techniques, and with manually comment
Grade matrix essence is identical；
4th, by color change, (peony represents the position that human eye is focused on the most to the matrix visual saliency map after processing, shallow
Red take second place, be thereafter yellow, blueness, pale purple, grey successively, significance degree is weak successively) directly perceived embody spot before and after washing
Removal efficiency；And vision significance similarity measurement then specifically quantifies detergency difference.
Description of the drawings
The schematic diagram (left view) of the device that Fig. 1 is provided for the present invention；
The schematic diagram (upward view) of the device that Fig. 2 is provided for the present invention；
Fig. 3 is Lab color mode schematic diagram；
Fig. 4 is vision significance overhaul flow chart；
Fig. 5 is vision significance testing result, and wherein, before Fig. 5 (a) is spot (greasy dirt) washing, Fig. 5 (b) is spot (oil
Dirty) after washing, Fig. 5 (c) is the visual saliency map before spot (greasy dirt) washing, and Fig. 5 (d) is the vision after spot (greasy dirt) washing
Notable figure；
Fig. 6 vision significance similarity measurement.
Specific embodiment
For becoming apparent the present invention, hereby with preferred embodiment, and accompanying drawing is coordinated to be described in detail below.
As shown in Figures 1 and 2, the washing detergency objective evaluation device that a kind of view-based access control model that the present invention is provided is perceived,
Including：
Including vertical casing 1, surface structure is similar to standard light both, provides stable light source space, for fixing phase
Machine 2, annular standard sources 3 and sample mount 4.
Annular standard sources 3, the top being fixed in vertical casing 1, is that IMAQ provides unification stable light source, no
The collection of same type spot image adopts different annular standard sources 3, accurately the misalignment before and after the washing of check and correction spot.This
Invention is main to provide D65 international standard alpine light, and TL84 is European, Japanese, Chinese shop light source, CWF cool white shop light source, F
Family's hotel's lamp, colorimetric reference light source.
Camera 2, the top being fixed in vertical casing 1, pass through USB upload value computer after realizing the collection of spot image,
IMAQ maximum magnitude is 60cm × 60cm, and camera 2 is connected with computer end by USB so that computer is can achieve to camera 2
SDK is called, and realizes the operation such as the startup of camera 2, collection, data storage, closing.
Height Adjustable sample mount 4, for placing sample 5, by Height Adjustable helical structure and diameter 350～
The square pallet composition of 650mm, wherein, can realize rising and the reduction of square pallet, adjustable range by adjustable screw structure
For square holding tray surface away from camera 200mm～600mm；Tray center is relative with camera lens center, and with center as initial point, with
1cm is interval, is carved with different yardsticks, is easy to sample to place.Additionally, evaluating for ease of tableware spot, the present invention is also equipped with phase
The servicing unit that answers, in order to fixing tableware (as bowl), realizes side image collection.
One kind that the present invention is provided is comprised the following steps：
Step 1, to be evaluated after the spot RGB color image before above-mentioned device obtains sample washing and washing
RGB color image.
Step 2, the spot RGB color image of acquisition and RGB color image to be evaluated are all changed to Lab color space,
Obtain spot Lab coloured image and Lab coloured image to be evaluated.
Color mode is also called colour gamut, color space, is the mode of collected by camera color.RGB pattern is the color of camera
Space criteria, in such a mode, it is not necessary to process, shot image just can show in the output device such as display or printer
Go out its true colours.For the ease of data processing, need to be first the bigger Lab pattern of color space by RGB patten transformation.Lab
Color mode (see Fig. 4) be by International Commission on Illumination (CIE) in 1931 formulate, modified after be officially named
CIELab.The color mode is based on physiological characteristic, is a kind of with device-independent color system, is described with method for digitizing
The visual response of people.L * component in Lab color space is used for representing the brightness of pixel that span to be [0,100], represent from
Black is to pure white；A represents the scope from redness to green, and span is [127, -128]；B represents from yellow to blue model
Enclose, span is [127, -128].
The present invention is changed RGB color image to Lab color space using polynomial regression：
P (x, y, z)=a1x+a2y+a3z+a4xy+a5yz+a6Zx, in formula, P (x, y, z) represents the L in Lab color space
Any one in value, a value or b value, x, y, z represent R value, G value and the B value of rgb color space；
a1=(V1V1 T)-1(V1P), V1 TRepresent V1Transposition,
Represent V2Transposition,
Represent V3Transposition,
Represent V4Transposition,
Represent V5Transposition,
Represent V6Transposition,
xi, yi, ziRepresent the R of ith pixel point in the spot RGB color image or the RGB color image to be evaluated
Value, G value and B value, i=1 ..., N, N represent pixel in the spot RGB color image or the RGB color image to be evaluated
Number, in the present embodiment, due to carrying out obtaining 216 points after six grades of segmentations to source space (i.e. RGB color), therefore take
N=216.In fact, for the multinomial that item number is 6, as long as taking N ＞ 6, it is possible to obtain polynomial coefficient.
P=[P1..., PN]T, PiRepresent ith pixel point in spot Lab coloured image or Lab coloured image to be evaluated
Any one in L value, a value or b value, i=1 ..., N.
Step 3, obtain from tri- passages of L, a, b sampling of spot Lab coloured image and Lab coloured image to be evaluated random
Area-of-interest, and calculate the significant characteristics value of each area-of-interest, in conjunction with Fig. 4, comprise the following steps：
Step 3.1, tri- passages of L, a, b random life respectively from spot Lab coloured image or Lab coloured image to be evaluated
Become m window, calculate the gray average of each window In formula, GSFor gray scale and, be area, S is that gray scale is equal
Value；
Step 3.2, calculated on tri- passages of L, a, b respectively each pixel in each window conspicuousness mapping, wherein：
The conspicuousness mapping FL of pixel (i, j) t-th window under L * channelI, j, t,FLI, j, t-1Represent that pixel (i, the j) conspicuousness of t-1 window under L * channel is reflected
Penetrate, ILI, j, tRepresent the brightness value of pixel (i, j) t-th window under L * channel,Represent the ash of t-th window under L * channel
Degree average；
The conspicuousness mapping Fa of pixel (i, j) t-th window under a passageI, j, t,FaI, j, t-1Represent that pixel (i, the j) conspicuousness of t-1 window under a passage is reflected
Penetrate, IaI, j, tRepresent the brightness value of pixel (i, j) t-th window under a passage；
The conspicuousness mapping Fb of pixel (i, j) t-th window under b passageI, j, t,FbI, j, t-1Represent that pixel (i, the j) conspicuousness of t-1 window under b passage is reflected
Penetrate, IbI, j, tRepresent the brightness value of pixel (i, j) t-th window under b passage；
Step 3.3, each window are an area-of-interest, then be calculated the significant characteristics of each area-of-interest
Value, wherein：
The significant characteristics value of pixel (i, j) t-th area-of-interest under tri- passages of L, a, b is FMI, j, t,
After step 4, the significant characteristics value for obtaining under tri- passages of L, a, b, in order to the later stage is easy to image procossing, Jiang Getong
The significant characteristics value in road according to size be respectively mapped to (0～100), (- 128～127), between (- 128～127), and again
Rgb color space is transformed into, is obtained by spot notable figure Z and notable figure R to be evaluated of different colours Visualization.Sample shows
Work figure Visualization represents by different colors, and peony represents the position that human eye is focused on the most, pale red take second place, thereafter successively
It is yellow, blueness, pale purple, grey, significance degree is weak successively.
When spot Residue Grade is evaluated, in order to compare with (washing) as former state, decontamination grade is judged, the present invention is adopted
With based on color of image histogram measuring similarity clean effect.If n is (Fi) for significant characteristics value in single channel image Z be
FiPixel number, N for single channel image Z pixel sum, to n (Fi) normalized is done, significant characteristics value is obtained for Fi
Normalized value p (Fi), i.e.,：
Then the color histogram P (Z) of single channel image Z is：P (Z)=(p (F1), p (F2) ..., p (F256))
It is assumed that a width RGB color figure amounts to N=r × c × 256 pixel, image has three color channels, its scope
Value is (0～255), if directly the color to each pixel is calculated, data volume is r × c × 256, and calculation cost is larger,
It is worthless in actual detection.In order to reduce operand, need to carry out dimensionality reduction to data.The present invention is logical to three respectively
Road independent statistics, are then combined with to the one-dimensional space, carry out Similarity Measure.
Step 5, calculating spot notable figure Z and similarity S (Z, R) of notable figure R to be evaluated, then have：
In formula, n=768 (256 × 3), pZ (Fj) aobvious for spot
Write in figure Z and correspond to significant characteristics value FjThe frequency at place, pR (Fj) for corresponding to significant characteristics value F in spot notable figure Rj
The frequency at place.
Claims (8)
1. the washing detergency objective evaluation device that a kind of view-based access control model is perceived, it is characterised in that include：
Including vertical casing (1), stable light source space is provided, for fixed camera (2), annular standard sources (3) and sample
Support (4)；
Annular standard sources (3), the top being fixed in vertical casing (1), is that IMAQ provides unification stable light source, no
The collection of same type spot image adopts different annular standard sources (3), accurately the misalignment before and after the washing of check and correction spot；
Camera (2), the top being fixed in vertical casing (1), realize upload value computer after the collection of spot image；
Height Adjustable sample mount (4), for placing sample (5).
2. a kind of washing detergency objective evaluation device that view-based access control model is perceived as claimed in claim 1, it is characterised in that institute
State sample mount (4) to be made up of the pallet of Height Adjustable helical structure and 350～650mm of diameter, tray center with described
Camera (2) optical center is relative, wherein, realizes rising and the reduction of pallet, the adjustable range of pallet by adjustable screw structure
For holding tray surface away from the camera (2) 200mm～600mm.
3. the washing detergency objective evaluation device that a kind of view-based access control model is perceived as claimed in claim 2, it is characterised in that with
The tray center is initial point, with 1cm as interval, is carved with different yardsticks on the pallet.
4. the washing detergency objective evaluation device that a kind of view-based access control model is perceived as claimed in claim 1, it is characterised in that also
Including the servicing unit for fixing tableware, to realize side image collection.
5. a kind of washing detergency objective evaluation device that view-based access control model is perceived as claimed in claim 1, it is characterised in that institute
State the home position that camera (2) is located at annular standard sources (3).
6. the washing detergency method for objectively evaluating that a kind of view-based access control model is perceived, it is characterised in that comprise the following steps：
Step 1, by device as claimed in claim 1 obtain sample washing before spot RGB color image and washing after
RGB color image to be evaluated；
Step 2, the spot RGB color image of acquisition and RGB color image to be evaluated are all changed to Lab color space, obtain
Spot Lab coloured image and Lab coloured image to be evaluated；
Step 3, random sense is obtained from tri- passages of L, a, b sampling of spot Lab coloured image and Lab coloured image to be evaluated
Interest region, and calculate the significant characteristics value of each area-of-interest；
Step 4, by the significant characteristics value under tri- passages of L, a, b of spot Lab coloured image and Lab coloured image to be evaluated
According to size be respectively mapped to (0～100), (- 128～127), between (- 128～127), and it is empty to be switched again to rgb color
Between, obtain by spot notable figure Z and notable figure R to be evaluated of different colours Visualization；
Step 5, calculating spot notable figure Z and similarity S (Z, R) of notable figure R to be evaluated, then have：
In formula, n=768, pZ (Fj) for corresponding in spot notable figure Z
In significant characteristics value FjThe frequency at place, pR (Fj) for corresponding to significant characteristics value F in spot notable figure RjThe frequency at place.
7. the washing detergency method for objectively evaluating that a kind of view-based access control model is perceived as claimed in claim 6, it is characterised in that
In the step 2, the spot RGB color image or the RGB color image to be evaluated are all changed to Lab color space bag
Include following steps：
RGB color image is changed to Lab color space using polynomial regression：
P (x, y, z)=a1x+a2y+a3z+a4xy+a5yz+a6Zx, in formula, the L value in P (x, y, z) expression Lab color space, a
Any one in value or b value, x, y, z represent R value, G value and the B value of rgb color space；
a1=(V1V1 T)-1(V1P), V1 TRepresent V1Transposition,
a2=(V2V2 T)-1(V2P), V2 TRepresent V2Transposition,
a3=(V3V3 T)-1(V3P), V3 TRepresent V3Transposition,
a4=(V4V4 T)-1(V4P), V4 TRepresent V4Transposition,
a5=(V5V5 T)-1(V5P), V5 TRepresent V5Transposition,
a6=(V6V6 T)-1(V6P), V6 TRepresent V6Transposition,
xi, yi, ziRepresent the R value of ith pixel point, G in the spot RGB color image or the RGB color image to be evaluated
Value and B value, i=1 ..., N, N represent the individual of pixel in the spot RGB color image or the RGB color image to be evaluated
Number；
P=[P1..., PN]T, PiRepresent the L value of ith pixel point, a in spot Lab coloured image or Lab coloured image to be evaluated
Any one in value or b value, i=1 ..., N.
8. a kind of washing detergency method for objectively evaluating that view-based access control model is perceived as claimed in claim 6, it is characterised in that institute
State step 3 to comprise the following steps：
Step 3.1, m is generated from tri- passages of L, a, b of spot Lab coloured image or Lab coloured image to be evaluated are random respectively
Individual window, calculates the gray average of each window In formula, GSFor gray scale and, be area, S is gray average；
Step 3.2, calculated on tri- passages of L, a, b respectively each pixel in each window conspicuousness mapping, wherein：
The conspicuousness mapping FL of pixel (i, j) t-th window under L * channelI, j, t,
FLI, j, t-1Represent the conspicuousness mapping of pixel (i, j) t-1 window under L * channel, ILI, j, tRepresent that pixel (i, j) exists
The brightness value of t-th window under L * channel,Represent the gray average of t-th window under L * channel；
The conspicuousness mapping Fa of pixel (i, j) t-th window under a passageI, j, t,
FaI, j, t-1Represent the conspicuousness mapping of pixel (i, j) t-1 window under a passage, IaI, j, tRepresent that pixel (i, j) exists
The brightness value of t-th window under a passage；
The conspicuousness mapping Fb of pixel (i, j) t-th window under b passageI, j, t,
FbI, j, t-1Represent the conspicuousness mapping of pixel (i, j) t-1 window under b passage, IbI, j, tRepresent that pixel (i, j) exists
The brightness value of t-th window under b passage；
Step 3.3, each window are an area-of-interest, then be calculated the significant characteristics value of each area-of-interest,
Wherein：
The significant characteristics value of pixel (i, j) t-th area-of-interest under tri- passages of L, a, b is FMI, j, t,
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| CN108956873A (en) * | 2018-06-25 | 2018-12-07 | 广州蓝月亮实业有限公司 | A kind of evaluation detergent is to the test method of service plate greasy dirt washing effect |
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