CN1173564A - Washing performance evaluation method of artificially contaminated cloth in image analysis system - Google Patents

Abstract

The invention provides a washing property-evaluating method by using an artificially fouled cloth in an image analyzing system. The artificially fouled cloth before washing is scanned by a scanner to be stored as an image file, then an washing property evaluation experiment is executed by predetermined experimental condition, a post-treatment is implemented of artificially fouled cloth after washing, the artificially fouled cloth after washing is scanned by a scanner to be stored as another image file, the image file of the artificially fouled file before and after washing is outputted on the monitor of a computer to calculate an average of R, G, B, and the difference in hue values is calculated from the difference in the average calculated R, G, B before and after washing.

Description

In image analysis system to the appraisal procedure of artificial pollution clothes washing performance

The present invention relates to a kind of artificial pollution clothes washing performance estimating method that adopts scanner, more specifically to a kind of method of in image analysis system, the scourability of artificial pollution clothing being assessed, by this method measured value is revised, so that automatically discern section (sheet) number of artificial pollution clothing.

Japanese Patent Application Publication NO.7-255984 discloses a kind of washing test device of assessing the fading of fibre, pollution, contraction, sewing etc.

As shown in Figure 1, the disclosed full-automatic program of above-mentioned Japanese patent application (automatedprogram) washing test device 50 comprises: a washing machine 52; Washing agent feed unit 54 is used for washing agent is sent among the washing machine 52; A washing agent supply pipe 56 is used for the washing agent of washing agent feed unit 54 is delivered to washing machine 52; A moisture separator 58 is used for removing the moisture of washing agent feed unit 54; A hot water supply unit is used to washing machine 52 that hot water is provided; A water supply unit; A control module that is used to control above-mentioned each unit.

Because moisture separator 58 is installed under the lid of washing agent feed unit 54, an advantage with washing test device 50 of said structure is to remove the moisture of the washing agent in the washing agent feed unit, therefore do not need to open the lid of washing machine 52, and can not trickle down to the outside by washing agent feed unit 54 powder detergents that come and that provide that leak down, because moisture does not distribute around it.

Yet its shortcoming is automatically to compare with washing clean-up performance afterwards before washing, thereby can not assess scourability exactly.

In order to address the above problem, the scourability apparatus for evaluating of employing image analysis technology has as shown in Figure 2 appearred.

Fig. 2 show a kind of in image analysis system the device to artificial pollution clothes washing Performance Evaluation, it adopts a kind of scourability appraisal procedure, wherein adopt spectrophotometer 102 to measure 4 surperficial reflectivities in the front surface and the rear surface of artificial pollution clothing 100, adopt computer 104 to calculate cleannes (D) according to the surperficial reflectivity of the artificial pollution clothing 100 that measures, these cleannes are exactly the scourability of a washing machine.

According to above-mentioned appraisal procedure, measure the surperficial reflectivity (Rs) of artificial pollution clothing 100 (calling clothing in the following text) before washing by spectrophotometer 102, this clothing is the sample that is used to assess scourability.

After this carry out washing test according to a kind of method of testing, clothing 100 is washed, and measure its surperficial reflectivity (Rw).Adopt spectrophotometer 102 to measure the reflectivity (Ro) of original clothing, this reflectivity is a clothing 100 in the original clothing surface reflectivity that does not have before contaminated.

According to above-mentioned measured value, calculate cleannes (D) according to the following equation, thereby scourability assessed: $D=\frac{\mathrm{Rw}-\mathrm{Rs}}{\mathrm{Ro}-\mathrm{Rs}}\×100\%$

Yet, there is a problem in above-mentioned known scourability appraisal procedure, that is carrying out nonstandard washing, thereby in the zone of not measuring, stay under the situation of stains, just be difficult to obtain reliable data, because the part of measuring by spectrophotometer 102 only is the part in whole washing zone, so must all measure and record to each section of assessing the clothing 100 of sample as scourability, even clothing is also still like this under nonexpondable situation in a kind of test, and an independent calculation element must be arranged also when calculating cleannes (D) according to tested value.

The present invention is intended to address the above problem, an one purpose provides a kind of method of in the image analysis system that adopts scanner that some sections of artificial pollution clothing are measured the scourability of artificial pollution clothing being assessed, according to this method, when measuring, all simultaneously standardized black and white material (materials) is measured, so that overcome the unstability of scanner, the colouring value that measures is analyzed and proofreaied and correct, thereby obtain accurate assessment.

Another object of the present invention provides a kind of method of in the image analysis system that adopts scanner that some sections of artificial pollution clothing are measured the scourability of artificial pollution clothing being assessed, according to this method, section to the artificial pollution clothing is automatically discerned, and thus colouring value (colored valves) is analyzed, thereby obtain a kind of simple analysis.

The invention provides a kind of method of in the image analysis system that adopts scanner the scourability of artificial pollution clothing being assessed, this method comprises the steps:

Before washing, adopt scanner that the artificial pollution clothing is scanned, and scanning result is stored in the image file;

Carry out the scourability evaluation test according to a kind of experimental condition;

After washing, the artificial pollution clothing is carried out post processing;

After washing, adopt scanner that the artificial pollution clothing is scanned, and scanning result is stored in another image file;

With outputing to a monitor with washing image file afterwards before the washing of artificial pollution clothing, so that calculate average R.G.B. value separately;

By the difference of calculating colouring value before the washing of calculating with the difference of washing average R.G.B. value afterwards, and then the assessment scourability.

For the ease of understanding characteristics of the present invention and purpose better, the present invention is described in detail below in conjunction with accompanying drawing.Wherein:

Fig. 1 shows a kind of known full-automatic program washing test device;

Fig. 2 shows a kind of known device of in image analysis system the scourability of artificial pollution clothing being assessed;

Fig. 3 shows the device of in image analysis system the scourability of artificial pollution clothing being assessed of the embodiment of the invention;

Fig. 4 shows the automatic identification benchmark window of artificial pollution clothing, is used for the scourability appraisal procedure at image analysis system of the present invention;

Fig. 5 is a flow chart, shows the operating process of the scourability appraisal procedure in the image analysis system of the present invention;

Fig. 6 is a flow chart, shows the operating process of the color analysis of step S5 shown in Figure 5;

Fig. 7 is a flow chart, and what show the S12 of step shown in Fig. 6 carries out the operating process of discerning to the artificial pollution clothing.

Fig. 8 is a flow chart, shows the S15 of step shown in Fig. 6 and colouring value is carried out the operating process of proofreading and correct.

Below in conjunction with accompanying drawing most preferred embodiment of the present invention is elaborated.

Fig. 3 shows the device of in image analysis system of the present invention the scourability of artificial pollution clothing (calling clothing in the following text) being assessed, and wherein said apparatus for evaluating comprises: as the artificial pollution clothing 10 of scourability assessment sample; Be used to measure the scanner 12 of the image of artificial pollution clothing; Be used for computer 20 that the image of the measured artificial pollution clothing of described scanner 12 is analyzed, so that calculate colouring value by analysis subsequently.

Scanner 12 is used for detecting color and clothing 10 the color a washing machine wash after of clothing 10 before washing.

Computer 20 comprises main frame 15, be used for user's operational order is input to the keyboard 16 of main frame 15, and monitor 18, be used to show by main frame 15 according to scanner 12 detected clothings 10 before washing and the scourability of the washing machine exported of color afterwards.

And main frame 15 comprises that a microcomputer, coprocessor etc. are used for according to color and image by the clothing 10 of scanner 12 input, and the scourability of washing machine is outputed to monitor 18.

Fig. 4 shows the clothing that uses for the scourability appraisal procedure in the image analysis system of the present invention and discerns the benchmark window automatically, when adopting scanner 12 to measure clothing 10, the tab order of clothing 10 and measured zone are determined by the automatic identification benchmark window 11 (calling the benchmark window in the following text) of artificial pollution clothing.

At this moment, washing clothing 10 before is set, before the washing it is scanned, and scanning result is stored in the image file, carry out the scourability evaluation test according to given experimental condition then according to benchmark window 11 determined orders.

In addition, to carrying out post processing through the clothing 10 after the washing, the orders of determining according to benchmark window 11 are provided with the clothing 10 after the washing according to the condition of appointment, it is scanned, and scanning result is stored in the image file after the washing.

Mark X in the accompanying drawing represents black benchmark characteristic value, and Y represents the white reference characteristic value.

Work effectiveness to the scourability appraisal procedure that adopted in the image analysis system with said structure describes below.

Fig. 5 is the course of work flow chart of the scourability appraisal procedure in the image analysis system of the present invention, and wherein mark S represents step.

At first, in step S1, adopt 12 pairs of washings of scanner clothing 10 before to scan, and scanning result is stored in the image file.In step S2, carry out decantation test according to a kind of experimental condition.

In step S3, to carrying out post processing, for example press in suitable temperature through the clothing 10 after the washing, remove the end of a thread and the analog that scatter.In step S4, adopt the clothing 10 after 12 pairs of processes of scanner are washed to scan, and scanning result is stored in another image file.In step S5, the image file that will wash before and wash clothing 10 afterwards outputs on the monitor 18 of computer 20, thereby calculates R.G.B. mean value separately.

After this, in step S6, calculate colouring value according to the difference of the R.G.B. mean value after the washing according to the following equation: $\mathrm{\ΔC}=\sqrt{{\left(\mathrm{\ΔR}\right)}^2+{\left(\mathrm{\ΔG}\right)}^2+{\left(\mathrm{\ΔB}\right)}^2}$

Wherein, symbol C represents the colouring value of R.G.B., and Δ C represents before the foundation washing and the difference of the colouring value that the difference of washing R.G.B. mean value is afterwards calculated.

Fig. 6 is the course of work flow chart of color analysis step S6 among Fig. 5.

At first, an input image file (for example adopting the filename of * .bmp or * .dip and so on) in step S10.In step S11, automatically specify a zone, so that finish the operation of setting up image file with pre-sizing.

Then, in step S12, select the section of artificial pollution clothing 10 to count recognition methods by automatic identification or artificial input.In step S13, select pixel with random fashion or according to certain rule.

In step S14, adopt scanner 12 to produce the R.G.B. mean value of each section or the R.G.B. mean value of whole clothing 10, be sent to computer 20.

Like this, in step S15, calculate value based on image file, black benchmark characteristic value (X) and white reference characteristic value (Y) that step S11-S14 is set up, enter into step S16 then, total R.G.B. mean value of memory image file in this step through the R.G.B. of overcorrect.

Fig. 7 is the flow chart of the clothing identifying shown in the step S12 among Fig. 6.

At first, judge in step S20 whether the identification of clothing section is carried out with automatic recognition method, if (promptly the result of Pan Duaning is YES) of carrying out with automatic recognition method then enters into step S21, in this step, carry out at random pixel and select by each section of clothing 10.

Then, whether the colouring value of judging clothing 10 in step S22 is less than the colouring value of benchmark window 11, if the colouring value of clothing 10 then enters into step S23 less than the colouring value (promptly the result of Pan Duaning is YES) of benchmark window 11, the signal that output clothing 10 can be used in this step.

If the judged result of step S22 shows the colouring value of clothing 10 and is not less than the colouring value of benchmark window 11 (promptly the result of Pan Duaning is NO), then enter into step S24, the disabled signal of output clothing in this step.Enter into step S25 then, the section of clothing 10 is discerned.After clothing 10 is discerned, the colouring value of storage clothing 10 in step S26.

Simultaneously, if the judged result of step S20 shows experimental condition and does not carry out (promptly the result of Pan Duaning is NO) with automatic recognition method, then enter into step S27, the section number of input artificial pollution clothing in this step, in step S28, the section of clothing 10 is discerned, turn back to step S26 then, repeat step S26 operation afterwards.

Calculate the difference (Δ C) of colouring value with the difference of washing R.G.B. mean value afterwards before according to washing, and judge that this interpolation (Δ C) is big more, scourability is also just good more.

Fig. 8 is the flow chart of colouring value trimming process shown in the step S15 among Fig. 6.

At first, in step S30, black benchmark characteristic value is set at X, the white reference characteristic value is set at Y.In step S31, analyze the benchmark colouring value from image file, for example black benchmark assay value (X ') and white reference assay value (Y ').

After this, in step S32, analyze the colouring value of clothing 10, for example red value (R '), green value (G '), blue valve (G ') from image file.

In step S33, calculate the colouring value through overcorrect of clothing 10 according to following formula: $R=X+\frac{(R^{\′}-X^{\′})(Y-X)}{(Y^{\′}-X^{\′})}$ $G=X+\frac{(G^{\′}-X^{\′})(Y-X)}{(Y^{\′}-X^{\′})}$ $B=X+\frac{(B^{\′}-X^{\′})(Y-X)}{(Y^{\′}-X^{\′})}$

Wherein a reference value R ' is the red value of tested color, G ' is the green value of tested color, B ' is the blue valve of tested color, R is the red value that is corrected color, and G is the green value that is corrected color, and B is the blue valve that is corrected color, X ' is tested black a reference value, Y ' is tested white reference value, and X is a black benchmark characteristic value, and Y is the white reference characteristic value.

Should be pointed out that the Reference numeral and the symbol that are adopted in claim of the present invention only are to invent for the ease of understanding, they should not be restricted to the embodiment shown in the accompanying drawing with technical scope of the present invention.

From top explanation as can be seen, the advantage of the method for in image analysis system the scourability of artificial pollution clothing being assessed of the present invention is: carry out the assessment of scourability by adopting scanner to measure the artificial pollution clothing, in measuring each time, measure material simultaneously as the black and white benchmark, so that solve the stability problem of scanner, the colouring value that measures is analyzed and proofreaied and correct, so that can realize accurate assessment, section to the artificial pollution clothing is discerned automatically, so that can analyze colouring value easily.

Although in conjunction with the accompanying drawings embodiments of the invention are illustrated above, but should be appreciated that the present invention should not be limited to the foregoing description, within the scope of claim definition of the present invention, those of ordinary skill in the art can also be made all improvement.

Claims (8)

1. a method of in the image analysis system that adopts scanner the scourability of artificial pollution clothing being assessed comprises the steps:

Before washing, adopt scanner that the artificial pollution clothing is scanned, and scanning result is stored in the image file;

Carry out the scourability evaluation test according to a kind of experimental condition;

To carrying out post processing through the artificial pollution clothing after the washing;

Adopt scanner that the artificial pollution clothing after the process washing is scanned, and the result that will scan is stored in another image file;

To output to a monitor with washing artificial pollution clothing image file afterwards before the washing, thereby calculate corresponding R.G.B. mean value;

Before the washing that goes out according to aforementioned calculation and the difference of the R.G.B. mean value after the washing, calculate the difference of colouring value, thus the assessment scourability.

2. the method for claim 1, wherein described mean value calculation step comprises:

The 1st step of input picture file;

Carry out the 2nd step of setting at described image file;

Calculate the 3rd step based on the image file of in second step, finishing and being provided with and black benchmark characteristic value (X) and white reference characteristic value (Y) through the R.G.B. of overcorrect mean value;

The 4th step of the whole mean value of memory image file.

3. the method for claim 1, wherein this performance estimation step is to calculate the difference of colouring value, be used in before the washing that the mean value calculation step calculates with washing after the difference substitution of R.G.B. mean value

In calculate.

4. method as claimed in claim 2, wherein, described the 2nd step comprises:

The 21st step in the automatic specific image file with zone of pre-sizing;

Carry out the 22nd step of the sheet selection recognition methods of artificial pollution clothes by automatic identification and artificial input;

With random fashion or select the 23rd step of pixel with fixed reference;

The 24th step of the average R.G.B. value of each sheet of output artificial pollution clothing or the average R.G.B. value of whole artificial pollution clothing.

5. method as claimed in claim 2, wherein, the 3rd step comprises:

Set up the 31st step of a black benchmark characteristic value (X) and a white reference characteristic value (Y);

Analyze the 32nd step of a black benchmark assay value (X ') and a white reference assay value (Y ');

Analyze the 33rd step of red value (R '), green value (G ') and a blue valve (B '), these numerical value are colouring values of the artificial pollution clothing in the image file;

Calculate the 34th step through the colouring value of overcorrect of artificial pollution clothing.

6. method as claimed in claim 4, wherein, the 22nd step comprises:

The 221st step, if wherein the identification of the section of artificial pollution clothing is automatic identification, then each artificial pollution clothing is carried out pixel selection at random, whether the colouring value of judging the artificial pollution clothing then is less than the colouring value in the benchmark window, again the section number of artificial pollution clothing is discerned, so that after this store this colouring value;

The 222nd step if wherein the identification of the section of artificial pollution clothing is not automatic identification, is then imported the section number of artificial pollution clothing, then the section number of artificial pollution clothing is discerned, so that store this colouring value subsequently.

7. method as claimed in claim 5, wherein, the 31st step is included in the artificial pollution clothing and discerns benchmark window record black benchmark characteristic value (X) and white reference characteristic value (Y) automatically.

8. method as claimed in claim 5, wherein, the 34th step is to analyze red value (R '), green value (G ') and the blue valve (B ') that analysis draws in the black benchmark assay value (X ') that draws and white reference assay value (Y ') and the step 33 in the black benchmark characteristic value (X) will be in the step 31 set up and white reference assay value (Y), the step 32 to be updated in the following formula: $R=X+\frac{(R^{\′}-X^{\′})(Y-X)}{(Y^{\′}-X^{\′})}$ $G=X+\frac{(G^{\′}-X^{\′})(Y-X)}{(Y^{\′}-X^{\′})}$ $B=X+\frac{(B^{\′}-X^{\′})(Y-X)}{(Y^{\′}-X^{\′})}$ Thereby calculate the colouring value of artificial pollution clothing.

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