CN102339580B - Method and device for detecting friction effect - Google Patents
Method and device for detecting friction effect Download PDFInfo
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- CN102339580B CN102339580B CN2010102389571A CN201010238957A CN102339580B CN 102339580 B CN102339580 B CN 102339580B CN 2010102389571 A CN2010102389571 A CN 2010102389571A CN 201010238957 A CN201010238957 A CN 201010238957A CN 102339580 B CN102339580 B CN 102339580B
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Abstract
The embodiment of the invention discloses a method and a device for detecting a friction effect, and relates to the field of liquid crystal displays. By the method and the device, the detected friction effect is more objective and accurate. The method for detecting the friction effect comprises the following steps of: shooting a pixel image of one pixel unit in a liquid crystal panel which is formed into a box; analyzing the pixel image to acquire a numerical value of uniformity of a friction mark; and judging whether the friction effect of the friction mark is good or not according to the numerical value of the uniformity, determining that the friction effect of the friction mark is good if the numerical value of the uniformity accords with a preset standard value, and determining that the friction effect of the friction mark is not good if the numerical value of the uniformity does not accord with the preset standard value. The method and the device are applied to the production and preparation of the liquid crystal displays.
Description
Technical field
The present invention relates to field of liquid crystal, relate in particular to a kind of detection method and device of friction effect.
Background technology
In Thin Film Transistor-LCD, on the array base palte of each RGB sub-pix behind, corresponding thin-film transistor circuit is arranged, after applying voltage, liquid crystal molecule between TFT and color film pixel deflects, thereby controls sense of rotation and the polarization state of polarized light.For these liquid crystal molecules just need to be arranged in a kind of order state and according to design before deflection, just need on array base palte and color membrane substrates, form alignment films.
The formation of alignment films is in two steps: at first on substrate, coat polyimide (PI) liquid, carry out friction orientation after solidifying to form the PI film.Friction orientation generally adopts friction cloth to be rubbed to substrate.Rubbing action by the most advanced and sophisticated friction hair of friction cloth, form groove on PI film surface, and the PI molecule also has the tendency of arranging according to frictional direction, the PI film has just had orientation effect like this, become alignment films, alignment films has determined the accurate orientation of liquid crystal molecule, and liquid crystal panel just likely needs performance optically-active effect according to design.
When friction orientation, due to the inhomogeneous of cloth fine hair that rub, after friction, may occur various bad, conventional decision method is for manually carrying out bad judgement to the panel after the one-tenth box, main observational technique is the pixel of using after the microscopic liquid crystal becomes box, observes the abrasion mark may be seen indistinctly.It is that bad observation of macroscopical friction sentenced to level that conventional friction effect is judged, the brightness disproportionation of abrasion mark (prospect brightness and background area brightness) is main resolution foundation.
Yet the inventor finds when realizing technical scheme of the present invention, at least there is following defect in prior art to the bad judgement that rubs: friction effect judges and can only be judged by human eye, and subjectivity is too strong, and error is larger.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of detection method and device of friction effect, makes detected friction effect more objective and accurate.
For solving the problems of the technologies described above, the detection method of friction effect of the present invention and device adopt following technical scheme:
A kind of detection method of friction effect comprises:
Take into the pixel image of at least one pixel cell in the liquid crystal panel after box;
Analyze described pixel image, obtain the numerical value of the homogeneity of abrasion mark;
Judge the friction effect of described abrasion mark according to the numerical value of described homogeneity.
After judging the friction effect of described abrasion mark, the described numerical value according to described homogeneity comprises:
If judge, the friction effect of described abrasion mark is bad, feeds back the bad data of described friction effect.
Analyze described pixel image, the numerical value that obtains the homogeneity of abrasion mark comprises:
Choose the described pixel image that comprises the capable N row of M pixel map picture point, as the pixel image sample, wherein M, N are natural number;
The RGB data of the three-dimensional in described pixel image sample are converted to two-dimentional gradation of image data;
Gradation of image data to described pixel image sample are carried out the filtering processing, and drawing image gradation data circle of equal altitudes;
Retain and be greater than the gradation of image data of threshold value gray scale, and obtain the extreme point of gradation of image data;
According to the classification condition, described extreme point is sorted out and is treated to the local extremum point;
Local extremum in each class point is fitted to One Dimensional Polynomial;
Obtain angle average and the angle variance of all One Dimensional Polynomials.
Local extremum in each class point is fitted to One Dimensional Polynomial is: the local extremum point that the quantity of local extremum point in each class is more than or equal to at 3 fits to One Dimensional Polynomial.
The described numerical value according to described homogeneity judges that the friction effect of described abrasion mark comprises:
Described angle average is compared with default angular standard value, and described angle variance is compared with default angle variance criterion value;
If described angle average is less than described angular standard value, and described angle variance is less than described angle variance criterion value, judges that the friction effect of described abrasion mark is good; If described angle average is more than or equal to described angular standard value, or described angle variance is more than or equal to described angle variance criterion value, judges that the friction effect of described abrasion mark is bad.
Described angular standard value is 2 degree, and described angle variance criterion value is 2 degree.
A kind of pick-up unit of friction effect comprises:
Collecting unit, become the pixel image of at least one pixel cell of liquid crystal panel after box for shooting, collecting;
Analytic unit, for analyzing described pixel image, obtain the numerical value of the homogeneity of abrasion mark;
Judging unit, judge the friction effect of described abrasion mark for the numerical value according to described homogeneity.
Also comprise:
Feedback unit, if bad for the friction effect that judges described abrasion mark, feed back the bad data of described friction effect.
Described analytic unit comprises:
Choose module, for choosing the described pixel image that comprises the capable N row of M pixel map picture point, as the pixel image sample, wherein, M, N are natural number;
Modular converter, be converted to two-dimentional gradation of image data for the RGB data of the three-dimensional by described pixel image sample;
Filtration module, carry out the filtering processing for the gradation of image data to described pixel image sample, and drawing image gradation data circle of equal altitudes;
The local extremum module, be greater than the gradation of image data of threshold value gray scale for reservation, and obtain the extreme point of gradation of image data;
Classifying module, for according to the classification condition, sort out described extreme point to be treated to the local extremum point;
The matching mould is fast, for the point of the local extremum by each class, fits to One Dimensional Polynomial;
Angle evaluation module, for angle average and the angle variance that obtains all One Dimensional Polynomials.
Local extremum in each class point is fitted to One Dimensional Polynomial is: the local extremum point that the quantity of local extremum point in each class is more than or equal to at 3 fits to One Dimensional Polynomial.
Described judge module specifically for: described angle average is compared with default angular standard value, and described angle variance is compared with default angle variance criterion value; If described angle average is less than described angular standard value, and described angle variance is greater than described angle variance criterion value, judges that the friction effect of described abrasion mark is good; If described angle average is more than or equal to described angular standard value, or described angle variance is less than described angle variance criterion value, judges that the friction effect of described abrasion mark is bad.
In the technical scheme of the present embodiment, image pattern to reflection friction microcosmic effect is monitored, take into the pixel image of a pixel cell in the liquid crystal panel after box, carry out data-switching and the numerical value of analyzing the homogeneity that obtains abrasion mark, and further the numerical value of the homogeneity of abrasion mark is compared with standard value, draw friction effect, overcome friction effect and judged and can only be judged by human eye, the shortcoming that subjectivity is too strong, make detected friction effect more objective and accurate.
The accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, in below describing embodiment, the accompanying drawing of required use is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
One of schematic diagram of the detection method that Fig. 1 is embodiment of the present invention friction effect;
Two of the schematic diagram of the detection method that Fig. 2 is embodiment of the present invention friction effect;
The image schematic diagram of the pixel that Fig. 3 is embodiment of the present invention collection;
The partial schematic diagram that Fig. 4 is a-quadrant in Fig. 3;
The gradation of image data circle of equal altitudes that Fig. 5 is image shown in 4;
Each row average gray and brightness value schematic diagram that Fig. 6 is image shown in Fig. 4;
Fig. 7 is the gradation of image data circle of equal altitudes of image shown in Fig. 4 after the threshold value gray scale transforms;
Fig. 8 is the extreme point schematic diagram that image shown in Fig. 4 transforms without the threshold value gray scale;
Fig. 9 is the extreme point schematic diagram that image shown in Fig. 4 transforms through the threshold value gray scale;
The bright line that Figure 10 is image shown in Fig. 8 is judged schematic diagram;
Schematic diagram is divided in the zone that Figure 11 is image shown in Fig. 8;
The extreme point matching schematic diagram that Figure 12 is image shown in Fig. 8;
Another schematic diagram of the extreme point matching that Figure 13 is image;
One of structural representation of the pick-up unit that Figure 14 is embodiment of the present invention friction effect;
Two of the structural representation of the pick-up unit that Figure 15 is embodiment of the present invention friction effect.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making under the creative work prerequisite the every other embodiment obtained, belong to the scope of protection of the invention.
The embodiment of the present invention provides a kind of detection method and device of friction effect, makes detected friction effect more objective and accurate.
Embodiment mono-
The embodiment of the present invention provides a kind of detection method of friction effect, and as shown in Figure 1, the method comprises:
At first, take into the pixel image of at least one pixel cell (comprising three sub-pix unit) in the liquid crystal panel after box, be at least one pixel cell and take pictures, so that captured pixel image is further analyzed;
Because captured whole pixel image comprises the pixel region of the capable B row of A pixel, therefore, only choose the image in the capable N row of the M pixel region in captured pixel image, be that the partial pixel image carries out the pixel image analysis as the pixel image sample, by the analysis to the pixel image sample, obtain the numerical value of the homogeneity of abrasion mark, wherein the numerical value of homogeneity can comprise angle mean value and the angle variance of Friction mark trace.
Particularly, described angle average is compared with default angular standard value, and described angle variance is compared with default angle variance criterion value, if described angle average is less than described angular standard value, and described angle variance is less than described angle variance criterion value, judges that the friction effect of described abrasion mark is good; If described angle average is more than or equal to described angular standard value, and/or described angle variance is more than or equal to described angle variance criterion value, judges that the friction effect of described abrasion mark is bad.
Further, if judge, the friction effect of described abrasion mark is bad, feeds back the bad data of described friction effect, so that proofread and correct friction parameter, improves friction effect.
In the technical scheme of the present embodiment, image pattern to reflection friction microcosmic effect is monitored, take into the pixel image of at least one pixel cell in the liquid crystal panel after box, this pixel image is carried out to data-switching and the numerical value of analyzing the homogeneity that obtains abrasion mark, and further the numerical value of the homogeneity of abrasion mark is compared with standard value, draw friction effect, having overcome friction effect judges and can only be judged by human eye, the shortcoming that subjectivity is too strong, make detected friction effect more objective and accurate.
Below, by the friction effect detection method of concrete analytic process explanation the present embodiment, as shown in Figure 2, the method comprises:
Usually, can take into a plurality of pixel cells in the liquid crystal panel after box, preferred, take the pixel image of a pixel cell, be a pixel cell and take pictures, so that captured pixel image is further analyzed to this pixel cell.
Because captured whole pixel image comprises the pixel region of the capable B row of A pixel, therefore, only choose the pixel image in the capable N row of M pixel region in captured pixel image and carry out graphical analysis as the pixel image sample.
As shown in Figure 3 and Figure 4, can in captured pixel image, choose a-quadrant, Aspect Ratio is 139: 120 pixel image samples in pixel coverage, further analyzes.
As shown in Figure 4, institute's pixel image sample comprises the pixel map picture point of 139 * 120 captured pixel images, collected RGB three-dimensional data is converted to two-dimentional gradation of image data (gray), wherein, the RGB three-dimensional data comprises the brightness number of tri-kinds of colors of RGB, the gradation of image data (gray) of two dimension comprise brightness and coordinate, and the formula that the RGB three-dimensional data is converted to two-dimentional gradation of image data is: gray=0.2989 * R+0.587 * G+0.114 * B.
An element of each pixel map picture point corresponding grey scale matrix on the pixel image sample, gray matrix is double precision datum, codomain is [0,1], wherein, the gradation of image data are 0 to represent black, the gradation of image data are 1 representative white, and the numerical value of gradation of image data is larger, its brighter display.
Here adopt three rank S filters, gradation of image data to the pixel image sample are carried out filtering, thereby the noise in the elimination pixel image, noise reduction process is the picture noise of being introduced by equipment in the pixel image acquisition process in order to eliminate, and guarantees the accuracy of data.
The purpose of this step is the abrasion mark that reduction may occur, in Fig. 4, the gray scale circle of equal altitudes of 139 * 120 pixel image as shown in Figure 5.
Because the direction rubbed is laterally, abrasion mark is the horizontal brighter vestige of background environment on every side of a rule.Gradation data to all row is averaged, and just can obtain the gray-scale value that abrasion mark should have, so we are averaging the gradation of image data of all row.The effect of this step is to determine next step needed " threshold value gray scale ".As shown in Figure 6, for convenient, observe, the gradation of image data are amplified to 100 times of mappings, can find out, on some row, brightness value is higher, with the position of the viewed bright line of human eye, conforms to.
Even the image of taking for the same camera of same light source, the brightness of each image is also variant, therefore, according to the maximal value of all row gradation of image mean values, determines a threshold value gray scale W, utilize this threshold value gray scale W, thereby reduce the data in gray scale circle of equal altitudes as shown in Figure 5.
When gradation of image data gray scale, during higher than this threshold value gray scale W, the gradation of image data are retained, and when gray scale is less than this threshold value gray scale W, gradation data is deleted.The gray scale circle of equal altitudes of Fig. 5 after processing so as shown in Figure 7.
The maximal value that the threshold value gray scale is each row average gray.If choose do not carry out the gray scale filtration or the threshold value gray scale too little, the calculating of next step local extremum point will comprise useless extreme point and be beyond recognition, as shown in Figure 8.
This step has been determined the coordinate of the point that the Friction mark trace has.
The captured image for the identical camera of sustained height, enlargement factor is also the same, so we take the classification condition, the classification condition of bright line is: all extreme points in 20 row gradation of image data form the local extremum point in the same areas.
If do not stipulated the classification condition, computing machine None-identified extreme point forms abrasion mark in which way, and as shown in figure 10, dotted line is that computing machine may be thought, is in fact again wrong, does not belong to the various vestiges of abrasion mark.
Coordinate according to extreme point on image, rely on matrixing to carry out automatic clustering, as shown in Fig. 9 and table 1, shown in table 1, is the coordinate of extreme point on image in Fig. 9.
Table 1
| Extreme | X | Y | |
| 1 | 13 | 57 | |
| 2 | 18 | 90 | |
| 3 | 25 | 90 | |
| 4 | 27 | 53 | |
| 5 | 27 | 91 | |
| 6 | 59 | 49 | |
| 7 | 73 | 49 | |
| 8 | 89 | 31 | |
| 9 | 92 | 79 | |
| 10 | 108 | 57 |
Extreme point is classified, criteria for classification is for presetting, selecting abundant capable gradation of image data to think is an abrasion mark, as shown in Figure 6, due to crest of appearance and trough between general 20 row gradation of image data, can think and an abrasion mark approximately between 20 row gradation of image data, occur, therefore preferred criteria for classification is that the extreme point in 20 row gradation of image data is thought an abrasion mark, and the extreme point in 20 row gradation of image data classifies as this regional local extremum point of 20 row.
That is: the Y-axis coordinate of the Y-axis coordinate of certain extreme point and extreme point 1 differs and is less than 20, thinks that this extreme point and extreme point 1 are two coordinate points of difference of same abrasion mark.
It is as shown in table 2,
Extreme point 1: the Y-axis coordinate of extreme point 1 is 57, in table 1, calculate with 57 differ 20 take interior extreme point the Y-axis coordinate as: 57,53,49,49,57 ( extreme points 1,4,6,7,10), they are classified as to a class [57,53,49,49,57], and extract it out former array, the zero clearing of Y-axis coordinate, Y ' is new Y-axis coordinate data.
Extreme point 2: the Y-axis coordinate of extreme point 2 is 90, calculate with 90 differ 20 and take interior Y-axis coordinate as 90,90,91,79 ( extreme point 2,3,5,9), it is extracted out and sorts out, and, by its zero clearing, generate new Y " coordinate.
Extreme point 3: by that analogy.
Final to three class coordinate points as shown in table 3, three class coordinate points of division as shown in figure 11.
Table 2
| Extreme point | Y | Y’ | Y” |
| 1 | 57 | 0 | 0 |
| 2 | 90 | 90 | 0 |
| 3 | 90 | 90 | 0 |
| 4 | 53 | 0 | 0 |
| 5 | 91 | 91 | 0 |
| 6 | 49 | 0 | 0 |
| 7 | 49 | 0 | 0 |
| 8 | 31 | 31 | 31 |
| 9 | 79 | 79 | 0 |
| 10 | 57 | 0 | 0 |
Table 3
| 57 | 53 | 49 | 49 | 57 | 0 | 0 | 0 | 0 | 0 |
| 90 | 90 | 91 | 79 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Extreme point in the scribe area of different bright lines is carried out to the One Dimensional Polynomial matching, if the gray scale extreme point that can be recognized by computing machine is less than 3 points, because data deficiencies, matching there will be deviation, therefore gives up this type of data.
Therefore set fitting condition: think data deficiencies when extreme point is less than at 3, and does not adopt.As shown in Figure 12 and Figure 13, the line of beating " * " in figure does not adopt.
Obtain all fit line angles, the angle of visual friction line, obtain angle average and angle variance.
The angle average is larger, and the angle variance is larger, and friction effect is poorer; The angle average is less, and the angle variance is less, and friction effect is better.
Usually, the angle average of abrasion mark is for being less than 2 degree, and variance, for being less than or equal to 2 degree, meets the variance requirement, thinks that friction process is qualified.The angle average of abrasion mark, for being greater than 2 degree, is less than or equal to 3 degree, and variance, for being less than or equal to 3 degree, thinks that friction process is normal, but the bad needs of effect carry out the confirmation of equipment and materials'use situation.The angle average of abrasion mark is for being greater than 3 degree, or variance thinks that for being greater than 3 degree there are serious problems in friction process, need to carry out at once equipment adjustment and material and change.
The above analysis to the pixel image sample chosen, for the analysis to the pocket image, is played the signal effect, and it is just credible that actual image and data should take fully enough large pixel image sample; And, in order to make testing result more accurate, the diverse location of liquid crystal panel that can be after becoming box is chosen the pixel image of taking the different pixels unit, and be further analyzed these different pixel images, thereby these obtain the numerical value of homogeneity of the abrasion mark of different pixel images, thereby comprehensively judge the friction effect of whole liquid crystal panel.
In the technical scheme of the present embodiment, image pattern to reflection friction microcosmic effect is monitored, the angle average of abrasion mark and angle variance are compared with standard value, having overcome friction effect judges and can only be judged by human eye, the shortcoming that subjectivity is too strong, draw friction effect, make detected friction effect more objective and accurate.
The embodiment of the present invention also provides a kind of pick-up unit of friction effect, and as shown in figure 14, this device comprises: collecting unit 1, analytic unit 2 and judging unit 3.
Collecting unit 1, for taking into the pixel image of the pixel cell of liquid crystal panel after box; Analytic unit 2, for analyzing described pixel image, obtain the numerical value of the homogeneity of abrasion mark; Judging unit 3, for judge the friction effect of described abrasion mark according to the numerical value of described homogeneity, if the numerical value of described homogeneity meets predefined standard value, the friction effect that judges described abrasion mark is good, if the numerical value of described homogeneity does not meet predefined standard value, judge that the friction effect of described abrasion mark is bad.
Further, as shown in figure 15, this device also comprises: feedback unit 4, if bad for the friction effect that judges described abrasion mark, feed back the bad data of described friction effect.
Further, analytic unit 2 comprises: choose module 20, modular converter 21, filtration module 22, local extremum module 23, classifying module 24, matching mould fast 25 and angle evaluation module 26.
Choose module 20, for choosing the described pixel image that comprises the capable N row of M pixel map picture point, as the pixel image sample, wherein, M, N are natural number; Modular converter 21, for the RGB data of the three-dimensional of described pixel image sample are converted to two-dimentional gradation of image data, wherein, the RGB three-dimensional data comprises the brightness number of tri-kinds of colors of RGB, the gradation of image data (gray) of two dimension comprise brightness and coordinate, and the formula that the RGB three-dimensional data is converted to two-dimentional gradation of image data is: gray=0.2989 * R+0.587 * G+0.114 * B; Filtration module 22, carry out the filtering processing for the gradation of image data to described pixel image sample, and drawing image gradation data circle of equal altitudes; Local extremum module 23, be greater than the gradation of image data of threshold value gray scale for reservation, and obtain the extreme point of gradation of image data; Classifying module 24, for according to the classification condition, sort out described extreme point to be treated to the local extremum point; The matching mould is fast 25, for the point of the local extremum by each class, fits to One Dimensional Polynomial; Angle evaluation module 26, for angle average and the angle variance that obtains all One Dimensional Polynomials.
Further, matching mould fast 25 is more than or equal to the local extremum point of 3 specifically for the quantity by local extremum point in each class and fits to One Dimensional Polynomial, and be about to local extremum point in each class and fit to One Dimensional Polynomial and be specially: the local extremum point that the quantity of local extremum point in each class is more than or equal to at 3 fits to One Dimensional Polynomial.
Further, described judge module 3 specifically for: described angle average is compared with default angular standard value, and described angle variance is compared with default angle variance criterion value; If described angle average is less than described angular standard value, and described angle variance is less than described angle variance criterion value, judges that the friction effect of described abrasion mark is good; If described angle average is more than or equal to described angular standard value, or described angle variance is more than or equal to described angle variance criterion value, judges that the friction effect of described abrasion mark is bad.
In the technical scheme of the present embodiment, image pattern to reflection friction microcosmic effect is monitored, take into the pixel image of a pixel cell in the liquid crystal panel after box, and in the selected pixels image, the pixel image sample of the capable N row of M pixel region carries out data-switching and analysis, obtain angle average and the angle variance of abrasion mark, and further the angle average of abrasion mark and angle variance are compared with standard value, draw friction effect, having overcome friction effect judges and can only be judged by human eye, the shortcoming that subjectivity is too strong, make detected friction effect more objective and accurate.
Through the above description of the embodiments, the those skilled in the art can be well understood to the mode that the present invention can add essential common hardware by software and realize, can certainly pass through hardware, but in a lot of situation, the former is better embodiment.Understanding based on such, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium can read, floppy disk as computing machine, hard disk or CD etc., comprise some instructions with so that computer equipment (can be personal computer, server, or the network equipment etc.) carry out the described method of each embodiment of the present invention.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited to this, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of described claim.
Claims (9)
1. the detection method of a friction effect, is characterized in that, comprising:
Take into the pixel image of at least one pixel cell in the liquid crystal panel after box;
Analyze described pixel image, obtain the numerical value of the homogeneity of abrasion mark;
Judge the friction effect of described abrasion mark according to the numerical value of described homogeneity;
Wherein, the numerical value of described homogeneity comprises angle average and the angle variance of Friction mark trace;
The described pixel image of described analysis, the numerical value that obtains the homogeneity of abrasion mark comprises:
Choose the described pixel image that comprises the capable N row of M pixel map picture point, as the pixel image sample, wherein M, N are natural number;
The RGB data of the three-dimensional in described pixel image sample are converted to two-dimentional gradation of image data;
Gradation of image data to described pixel image sample are carried out the filtering processing, and the described gradation of image data after processing according to filtering, drawing image gradation data circle of equal altitudes;
Retain and be greater than the gradation of image data of threshold value gray scale, and obtain the extreme point of gradation of image data;
According to the classification condition, described extreme point is sorted out and is treated to the local extremum point;
Local extremum in each class point is fitted to One Dimensional Polynomial;
Obtain described angle average and the described angle variance of all One Dimensional Polynomials.
2. method according to claim 1, is characterized in that, after the described numerical value according to described homogeneity judges the friction effect of described abrasion mark, comprises:
If judge, the friction effect of described abrasion mark is bad, feeds back the bad data of described friction effect.
3. method according to claim 1, is characterized in that, the point of the local extremum in each class fitted to One Dimensional Polynomial be: the local extremum point that the quantity of local extremum point in each class is more than or equal to at 3 fits to One Dimensional Polynomial.
4. method according to claim 3, is characterized in that, the described numerical value according to described homogeneity judges that the friction effect of described abrasion mark comprises:
Described angle average is compared with default angular standard value, and described angle variance is compared with default angle variance criterion value;
If described angle average is less than described angular standard value, and described angle variance is less than described angle variance criterion value, judges that the friction effect of described abrasion mark is good; If described angle average is more than or equal to described angular standard value, or described angle variance is more than or equal to described angle variance criterion value, judges that the friction effect of described abrasion mark is bad.
5. method according to claim 4, is characterized in that, described angular standard value is 2 degree, and described angle variance criterion value is 2 degree.
6. the pick-up unit of a friction effect, is characterized in that, comprising:
Collecting unit, become the pixel image of at least one pixel cell of liquid crystal panel after box for shooting, collecting;
Analytic unit, for analyzing described pixel image, obtain the numerical value of the homogeneity of abrasion mark;
Judging unit, judge the friction effect of described abrasion mark for the numerical value according to described homogeneity;
Wherein, the numerical value of described homogeneity comprises angle average and the angle variance of Friction mark trace;
Described analytic unit comprises:
Choose module, for choosing the described pixel image that comprises the capable N row of M pixel map picture point, as the pixel image sample, wherein, M, N are natural number;
Modular converter, be converted to two-dimentional gradation of image data for the RGB data of the three-dimensional by described pixel image sample;
Filtration module, carry out the filtering processing for the gradation of image data to described pixel image sample, and the described gradation of image data after processing according to filtering, drawing image gradation data circle of equal altitudes;
The local extremum module, be greater than the gradation of image data of threshold value gray scale for reservation, and obtain the extreme point of gradation of image data;
Classifying module, for according to the classification condition, sort out described extreme point to be treated to the local extremum point;
The matching mould is fast, for the point of the local extremum by each class, fits to One Dimensional Polynomial;
Angle evaluation module, for angle average and the angle variance that obtains all One Dimensional Polynomials.
7. device according to claim 6, is characterized in that, also comprises:
Feedback unit, if bad for the friction effect that judges described abrasion mark, feed back the bad data of described friction effect.
8. device according to claim 6, is characterized in that, the point of the local extremum in each class fitted to One Dimensional Polynomial be: the local extremum point that the quantity of local extremum point in each class is more than or equal to at 3 fits to One Dimensional Polynomial.
9. device according to claim 8, is characterized in that,
Described judge module specifically for: described angle average is compared with default angular standard value, and described angle variance is compared with default angle variance criterion value; If described angle average is less than described angular standard value, and described angle variance is greater than described angle variance criterion value, judges that the friction effect of described abrasion mark is good; If described angle average is more than or equal to described angular standard value, or described angle variance is less than described angle variance criterion value, judges that the friction effect of described abrasion mark is bad.
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| US7161652B2 (en) * | 2002-08-30 | 2007-01-09 | Fujitsu Limited | Method of manufacturing a liquid crystal display device having spontaneous polarized liquid crystal, with heating and applied voltage |
| CN1928535A (en) * | 2006-09-07 | 2007-03-14 | 哈尔滨工业大学 | Machine vision based LCD spot flaw detection method and system |
| CN101170641A (en) * | 2007-12-05 | 2008-04-30 | 北京航空航天大学 | A method for image edge detection based on threshold sectioning |
| US20090046927A1 (en) * | 2007-08-15 | 2009-02-19 | Hon Hai Precision Industry Co., Ltd. | Method and apparatus for reducing noise in image |
| CN101655614A (en) * | 2008-08-19 | 2010-02-24 | 京东方科技集团股份有限公司 | Method and device for detecting cloud pattern defects of liquid crystal display panel |
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| US7161652B2 (en) * | 2002-08-30 | 2007-01-09 | Fujitsu Limited | Method of manufacturing a liquid crystal display device having spontaneous polarized liquid crystal, with heating and applied voltage |
| CN1928535A (en) * | 2006-09-07 | 2007-03-14 | 哈尔滨工业大学 | Machine vision based LCD spot flaw detection method and system |
| US20090046927A1 (en) * | 2007-08-15 | 2009-02-19 | Hon Hai Precision Industry Co., Ltd. | Method and apparatus for reducing noise in image |
| CN101170641A (en) * | 2007-12-05 | 2008-04-30 | 北京航空航天大学 | A method for image edge detection based on threshold sectioning |
| CN101655614A (en) * | 2008-08-19 | 2010-02-24 | 京东方科技集团股份有限公司 | Method and device for detecting cloud pattern defects of liquid crystal display panel |
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