CN102339580A - Method and device for detecting friction effect - Google Patents
Method and device for detecting friction effect Download PDFInfo
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- CN102339580A CN102339580A CN2010102389571A CN201010238957A CN102339580A CN 102339580 A CN102339580 A CN 102339580A CN 2010102389571 A CN2010102389571 A CN 2010102389571A CN 201010238957 A CN201010238957 A CN 201010238957A CN 102339580 A CN102339580 A CN 102339580A
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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 each RGB sub-pix array base palte behind, corresponding thin-film transistor circuit is all arranged, apply after the voltage; The liquid crystal molecule that is between TFT and color film pixel deflects, thus the sense of rotation and the polarization state of control polarized light.In order to make these liquid crystal molecules before deflection, just be in a kind of order state and to arrange, just need on array base palte and color membrane substrates, form alignment films according to design demand.
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 that substrate is rubbed.Rubbing action through 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, and the PI film has just had the orientation effect like this, becomes alignment films; Alignment films has determined the accurate orientation of liquid crystal molecule, and liquid crystal panel just might be brought into play the optically-active effect according to design demand.
When friction orientation; Because friction cloth fine hair is inhomogeneous; May occur various bad after the friction; Conventional decision method carries out bad judgement for artificial to the panel behind the one-tenth box, and main observational technique is to use the pixel after the microscopic liquid crystal becomes box, observes the abrasion mark that mays be seen indistinctly.It is that bad observation of the friction of macroscopic view declared 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 that there is following defective in prior art at least to the bad judgement that rubs when realizing technical scheme of the present invention: friction effect is judged can only be judged that subjectivity is too strong by human eye, and error is bigger.
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 adopts following technical scheme with device:
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 behind the box;
Analyze said pixel image, obtain the numerical value of the homogeneity of abrasion mark;
Judge the friction effect of said abrasion mark according to the numerical value of said homogeneity.
, said numerical value according to said homogeneity comprises after judging the friction effect of said abrasion mark:
If judge that the friction effect of said abrasion mark is bad, then feed back the bad data of said friction effect.
Analyze said pixel image, the numerical value that obtains the homogeneity of abrasion mark comprises:
Choose the said 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;
With the RGB data-switching of the three-dimensional in the said pixel image sample is the gradation of image data of two dimension;
Gradation of image data to said pixel image sample are carried out Filtering Processing, and drawing image gradation data circle of equal altitudes;
Reservation is greater than threshold value image gray gradation data, and obtains the extreme point of gradation of image data;
According to the classification condition, said extreme point sorted out be treated to the local extremum point;
Local extremum in each type point is fitted to the one dimension polynomial expression;
Obtain polynomial angle average of all one dimensions and angle variance.
Local extremum in each type point is fitted to the one dimension polynomial expression is: the quantity of local extremum point in each type is fitted to the one dimension polynomial expression more than or equal to 3 local extremum point.
Said numerical value according to said homogeneity judges that the friction effect of said abrasion mark comprises:
Said angle average is compared with preset angular standard value, and said angle variance is compared with preset angle variance criterion value;
If said angle average is less than said angular standard value, and said angle variance judges then that less than said angle variance criterion value the friction effect of said abrasion mark is good; If said angle average is more than or equal to said angular standard value, or said angle variance judges then that more than or equal to said angle variance criterion value the friction effect of said abrasion mark is bad.
Said angular standard value is 2 degree, and said angle variance criterion value is 2 degree.
A kind of pick-up unit of friction effect comprises:
Collecting unit is used for the pixel image that shooting, collecting becomes at least one pixel cell of liquid crystal panel behind the box;
Analytic unit is used to analyze said pixel image, obtains the numerical value of the homogeneity of abrasion mark;
Judging unit is used for judging according to the numerical value of said homogeneity the friction effect of said abrasion mark.
Also comprise:
Feedback unit is used for then feeding back the bad data of said friction effect if judge that the friction effect of said abrasion mark is bad.
Said analytic unit comprises:
Choose module, be used to choose the said 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 is used for the RGB data-switching of the three-dimensional of the said pixel image sample gradation of image data for two dimension;
Filtration module is used for the gradation of image data of said pixel image sample are carried out Filtering Processing, and drawing image gradation data circle of equal altitudes;
The local extremum module is used for keeping greater than threshold value image gray gradation data, and obtains the extreme point of gradation of image data;
Classifying module is used for according to the classification condition, said extreme point is sorted out be treated to the local extremum point;
The match mould is fast, is used for the local extremum point of each type is fitted to the one dimension polynomial expression;
Angle evaluation module is used to obtain polynomial angle average of all one dimensions and angle variance.
Local extremum in each type point is fitted to the one dimension polynomial expression is: the quantity of local extremum point in each type is fitted to the one dimension polynomial expression more than or equal to 3 local extremum point.
Said judge module specifically is used for: said angle average is compared with preset angular standard value, and said angle variance is compared with preset angle variance criterion value; If said angle average is less than said angular standard value, and said angle variance judges then that greater than said angle variance criterion value the friction effect of said abrasion mark is good; If said angle average is more than or equal to said angular standard value, or said angle variance judges then that less than said angle variance criterion value the friction effect of said abrasion mark is bad.
In the technical scheme of present embodiment, the image pattern of reflection friction microcosmic effect is monitored, promptly take into the pixel image of a pixel cell in the liquid crystal panel behind the 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 judge by human eye; The shortcoming that subjectivity is too strong makes detected friction effect more objective and accurate.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; The accompanying drawing of required use is done to introduce simply in will describing embodiment below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is one of the synoptic diagram of the detection method of embodiment of the invention friction effect;
Fig. 2 be embodiment of the invention friction effect detection method synoptic diagram two;
Fig. 3 is the image synoptic diagram of a pixel of embodiment of the invention collection;
Fig. 4 is the partial schematic diagram of a-quadrant among Fig. 3;
Fig. 5 is the gradation of image data circle of equal altitudes of image shown in 4;
Fig. 6 is each row average gray and brightness value synoptic diagram of image shown in Figure 4;
Fig. 7 is the gradation of image data circle of equal altitudes of image shown in Figure 4 after the threshold value gray scale transforms;
Fig. 8 is the extreme point synoptic diagram that image shown in Figure 4 transforms without the threshold value gray scale;
Fig. 9 is the extreme point synoptic diagram that image shown in Figure 4 transforms through the threshold value gray scale;
Figure 10 is that the bright line of image shown in Figure 8 is judged synoptic diagram;
Figure 11 is the area dividing synoptic diagram of image shown in Figure 8;
Figure 12 is the extreme point match synoptic diagram of image shown in Figure 8;
Figure 13 is one of the structural representation of the pick-up unit of embodiment of the invention friction effect;
Figure 14 is one of the structural representation of the pick-up unit of embodiment of the invention friction effect;
Figure 15 be embodiment of the invention friction effect pick-up unit structural representation two.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
The embodiment of the invention provides a kind of detection method and device of friction effect, makes detected friction effect more objective and accurate.
Embodiment one
The embodiment of the invention provides a kind of detection method of friction effect, and is as shown in Figure 1, and this 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 behind the 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 the captured pixel image, promptly the partial pixel image carries out the pixel image analysis as the pixel image sample, through 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 the angle mean value and the angle variance of Friction mark trace.
Particularly; Said angle average is compared with preset angular standard value; And said angle variance compared with preset angle variance criterion value; If said angle average is less than said angular standard value, and said angle variance judges then that less than said angle variance criterion value the friction effect of said abrasion mark is good; If said angle average is more than or equal to said angular standard value, and/or said angle variance judges then that more than or equal to said angle variance criterion value the friction effect of said abrasion mark is bad.
Further,, then feed back the bad data of said friction effect,, improve friction effect so that proofread and correct friction parameter if judge that the friction effect of said abrasion mark is bad.
In the technical scheme of present embodiment; Image pattern to reflection friction microcosmic effect is monitored; Promptly take into the pixel image of at least one pixel cell in the liquid crystal panel behind the box, this pixel image is carried 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 the friction effect judgement and can only judge that the shortcoming that subjectivity is too strong makes detected friction effect more objective and accurate by human eye.
Below through the friction effect detection method of concrete analytic process explanation present embodiment, as shown in Figure 2, this method comprises:
Usually, can take into a plurality of pixel cells in the liquid crystal panel behind the box, preferred, take the pixel image of a pixel cell, be a pixel cell and take pictures, so that the captured pixel image of this pixel cell is further analyzed.
Because captured whole pixel image comprises the pixel region of the capable B row of A pixel, therefore, only choose that the pixel image in the capable N row of the M pixel region carries out graphical analysis as the pixel image sample in the captured pixel image.
Like Fig. 3 and shown in Figure 4, can in captured pixel image, choose the a-quadrant, promptly Aspect Ratio is 139: 120 pixel image samples in the pixel coverage, further analyzes.
As shown in Figure 4; The pixel map picture point that comprises 139 * 120 captured pixel images in institute's pixel image sample; Convert the RGB three-dimensional data that is collected into two-dimentional gradation of image data (gray), wherein, the RGB three-dimensional data comprises the brightness number of three 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 converts the gradation of image data of two dimension into 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 a double precision datum, codomain is [0; 1], wherein, the gradation of image data are 0 to represent black; The gradation of image data be 1 represent white, the numerical value of gradation of image data is big more, 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 are the picture noises of being introduced by equipment in the pixel image acquisition process in order to eliminate, and guarantee the accuracy of data.
The purpose of this step is the abrasion mark that reduction possibly occur, and the gray scale circle of equal altitudes of 139 * 120 pixel image is as shown in Figure 5 among Fig. 4.
Because the direction of friction is laterally, promptly 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 ask average to the gradation of image data of all row.The effect of this step is to confirm next step needed " threshold value gray scale ".As shown in Figure 6, observe for ease, the gradation of image data are amplified 100 times of mappings, can find out that brightness value is higher on some row, conforms to the position of the viewed bright line of human eye.
Even image for the same camera shooting of same light source; The brightness of each image is also variant, therefore, confirms a threshold value gray scale W according to the maximal value of all row gradation of image mean values; Utilize this threshold value gray scale W, thereby reduce the data in the gray scale circle of equal altitudes as shown in Figure 5.
When gradation of image data gray scale was higher than this threshold value gray scale W, the gradation of image data obtained keeping, and when gray scale during less than this threshold value gray scale W, gradation data is deleted.The gray scale circle of equal altitudes of Fig. 5 after handling like this is as shown in Figure 7.
The threshold value gray scale is the maximal value of each row average gray.If choose and do not carry out that gray scale is filtered or the threshold value gray scale is too little, then the calculating of next step local extremum point will comprise useless extreme point and be beyond recognition, and will be as shown in Figure 8.
This step has been confirmed the coordinate of the point that the Friction mark trace is had.
For the captured image of the identical camera of sustained height, enlargement factor also is the same, so we take the classification condition, promptly the classification condition of bright line is: all extreme points in the 20 row gradation of image data constitute the local extremum point in the same area.
As do not stipulate that classification condition, computing machine can't discern extreme point and form abrasion mark in which way, shown in figure 10, dotted line is that computing machine possibly thought, is in fact again wrong, does not belong to the various vestiges of abrasion mark.
According to the coordinate of extreme point on image, rely on matrixing to carry out automatic clustering, shown in Fig. 9 and table 1, shown in the table 1 coordinate of extreme point on image among 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 preestablishing; Selecting abundant capable gradation of image data to think is an abrasion mark; As shown in Figure 6, owing to crest of appearance and trough between general 20 row gradation of image data, can think an abrasion mark to occur between about 20 row gradation of image data; Therefore preferred criteria for classification is that the extreme point in the 20 row gradation of image data is thought an abrasion mark, and promptly the extreme point in the 20 row gradation of image data classifies as 20 these regional local extremum points of row.
That is: the Y axial coordinate of the Y axial coordinate of certain extreme point and extreme point 1 differs less than 20, thinks that then this extreme point and extreme point 1 are different two coordinate points of same abrasion mark.
It is as shown in table 2,
Extreme point 1: the Y axial coordinate of extreme point 1 is 57, in the table 1, calculate with 57 differ 20 Y axial coordinates and be with interior extreme point: 57,53,49; 49,57 (extreme point 1,4,6,7; 10), they are classified as one type [57,53,49,49; 57], and extract it out former array, promptly the zero clearing of Y axial coordinate, Y ' is new Y axial coordinate data.
Extreme point 2: the Y axial coordinate of extreme point 2 is 90, calculate with 90 differ 20 and be with interior Y axial coordinate: 90,90,91,79 ( extreme point 2,3,5,9), it is extracted out sorts out, and, generate new Y its zero clearing " coordinate.
Extreme point 3: by that analogy.
Final to three types of coordinate points as shown in table 3, three types of coordinate points of division are 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 the one dimension fitting of a polynomial, if can be by the gray scale extreme point of computing machine identification less than 3 points, because data deficiencies, deviation appears in the match meeting, therefore gives up this type of data.
Therefore set fitting condition:, and do not adopt when extreme point is thought data deficiencies during less than 3.Like Figure 12 and shown in Figure 13, the line of beating " * " among the figure does not adopt.
Obtain all fit line angles, the angle of promptly visual friction line obtains angle average and angle variance.
The angle average is big more, and the angle variance is big more, and friction effect is poor more; The angle average is more little, and the angle variance is more little, and friction effect is good more.
Usually, the angle average of abrasion mark is less than 2 degree, and variance is smaller or equal to 2 degree, meets the variance requirement, thinks that friction process is qualified.The angle average of abrasion mark is greater than 2 degree, and smaller or equal to 3 degree, variance is smaller or equal to 3 degree, think that friction process is normal, but the bad needs of effect carries out the affirmation of equipment and material operating position.The angle average of abrasion mark is greater than 3 degree, and perhaps variance is greater than 3 degree, thinks that there are serious problems in friction process, need carry out equipment adjustment and material at once and change.
More than to the analysis of the pixel image sample chosen for analysis to the pocket image, play the signal effect, it is credible that actual image and data should be got enough big pixel image sample; And; In order to make testing result more accurate; Can choose the pixel image of taking the different pixels unit at the diverse location of the liquid crystal panel after becoming box; And further analyze these pixels with different images, thus these obtain the numerical value of homogeneity of the abrasion mark of pixels with different images, thus comprehensively judge the friction effect of whole liquid crystal panel.
In the technical scheme of present embodiment; Image pattern to reflection friction microcosmic effect is monitored; The angle average and the angle variance of abrasion mark are compared with standard value, overcome the friction effect judgement and can only judge the shortcoming that subjectivity is too strong by human eye; Draw friction effect, make detected friction effect more objective and accurate.
The embodiment of the invention also provides a kind of pick-up unit of friction effect, and is shown in figure 14, and this device comprises: collecting unit 1, analytic unit 2 and judging unit 3.
Collecting unit 1 is used for taking into the pixel image of the pixel cell of liquid crystal panel behind the box; Analytic unit 2 is used to analyze said pixel image, obtains the numerical value of the homogeneity of abrasion mark; Judging unit 3; Be used for judging the friction effect of said abrasion mark according to the numerical value of said homogeneity; If the numerical value of said homogeneity meets predefined standard value; The friction effect of then judging said abrasion mark is good, if the numerical value of said homogeneity does not meet predefined standard value, judges that then the friction effect of said abrasion mark is bad.
Further, shown in figure 15, this device also comprises: feedback unit 4 is used for then feeding back the bad data of said friction effect if judge that the friction effect of said abrasion mark is bad.
Further, analytic unit 2 comprises: choose module 20, modular converter 21, filtration module 22, local extremum module 23, classifying module 24, match mould fast 25 and angle evaluation module 26.
Choose module 20, be used to choose the said 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; Be used for the RGB data-switching of the three-dimensional of said pixel image sample gradation of image data for two dimension; Wherein, The RGB three-dimensional data comprises the brightness number of three kinds of colors of RGB, and the gradation of image data (gray) of two dimension comprise brightness and coordinate, and the formula that the RGB three-dimensional data converts the gradation of image data of two dimension into is: gray=0.2989 * R+0.587 * G+0.114 * B; Filtration module 22 is used for the gradation of image data of said pixel image sample are carried out Filtering Processing, and drawing image gradation data circle of equal altitudes; Local extremum module 23 is used for keeping greater than threshold value image gray gradation data, and obtains the extreme point of gradation of image data; Classifying module 24 is used for according to the classification condition, said extreme point is sorted out be treated to the local extremum point; The match mould is fast 25, is used for the local extremum point of each type is fitted to the one dimension polynomial expression; Angle evaluation module 26 is used to obtain polynomial angle average of all one dimensions and angle variance.
Further; Match mould fast 25 specifically is used for the quantity of each type local extremum point is fitted to the one dimension polynomial expression more than or equal to 3 local extremum point, is about to local extremum point in each type and fits to the one dimension polynomial expression and be specially: the quantity of local extremum point in each type is fitted to the one dimension polynomial expression more than or equal to 3 local extremum point.
Further, said judge module 3 specifically is used for: said angle average is compared with preset angular standard value, and said angle variance is compared with preset angle variance criterion value; If said angle average is less than said angular standard value, and said angle variance judges then that less than said angle variance criterion value the friction effect of said abrasion mark is good; If said angle average is more than or equal to said angular standard value, or said angle variance judges then that more than or equal to said angle variance criterion value the friction effect of said abrasion mark is bad.
In the technical scheme of present embodiment; Image pattern to reflection friction microcosmic effect is monitored, and promptly take into the pixel image of a pixel cell in the liquid crystal panel behind the box, and the pixel image sample of the capable N row of M pixel region carries out data-switching and analysis in the selected pixels image; Obtain the angle average and the angle variance of abrasion mark; And further the angle average and the angle variance of abrasion mark are compared with standard value, draw friction effect, overcome friction effect and judged and can only judge by human eye; The shortcoming that subjectivity is too strong makes detected friction effect more objective and accurate.
Through the description of above embodiment, the those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential common hardware, can certainly pass through hardware, but the former is better embodiment under a lot of situation.Based on such understanding; The part that technical scheme of the present invention contributes to prior art in essence in other words can be come out with the embodied of software product, and this computer software product is stored in the storage medium that can read, like the floppy disk of computing machine; Hard disk or CD etc.; Comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above; Be merely embodiment of the present invention, but protection scope of the present invention is not limited thereto, any technician who is familiar with the present technique field is in the technical scope that the present invention discloses; Can expect easily changing or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of said claim.
Claims (11)
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 behind the box;
Analyze said pixel image, obtain the numerical value of the homogeneity of abrasion mark;
Judge the friction effect of said abrasion mark according to the numerical value of said homogeneity.
2. method according to claim 1 is characterized in that, after said numerical value according to said homogeneity is judged the friction effect of said abrasion mark, comprises:
If judge that the friction effect of said abrasion mark is bad, then feed back the bad data of said friction effect.
3. method according to claim 1 and 2 is characterized in that, analyzes said pixel image, and the numerical value that obtains the homogeneity of abrasion mark comprises:
Choose the said 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;
With the RGB data-switching of the three-dimensional in the said pixel image sample is the gradation of image data of two dimension;
Gradation of image data to said pixel image sample are carried out Filtering Processing, and drawing image gradation data circle of equal altitudes;
Reservation is greater than threshold value image gray gradation data, and obtains the extreme point of gradation of image data;
According to the classification condition, said extreme point sorted out be treated to the local extremum point;
Local extremum in each type point is fitted to the one dimension polynomial expression;
Obtain polynomial angle average of all one dimensions and angle variance.
4. method according to claim 3 is characterized in that, the point of the local extremum in each type is fitted to the one dimension polynomial expression be: the quantity of local extremum point in each type is fitted to the one dimension polynomial expression more than or equal to 3 local extremum point.
5. method according to claim 4 is characterized in that, said numerical value according to said homogeneity judges that the friction effect of said abrasion mark comprises:
Said angle average is compared with preset angular standard value, and said angle variance is compared with preset angle variance criterion value;
If said angle average is less than said angular standard value, and said angle variance judges then that less than said angle variance criterion value the friction effect of said abrasion mark is good; If said angle average is more than or equal to said angular standard value, or said angle variance judges then that more than or equal to said angle variance criterion value the friction effect of said abrasion mark is bad.
6. method according to claim 5 is characterized in that, said angular standard value is 2 degree, and said angle variance criterion value is 2 degree.
7. the pick-up unit of a friction effect is characterized in that, comprising:
Collecting unit is used for the pixel image that shooting, collecting becomes at least one pixel cell of liquid crystal panel behind the box;
Analytic unit is used to analyze said pixel image, obtains the numerical value of the homogeneity of abrasion mark;
Judging unit is used for judging according to the numerical value of said homogeneity the friction effect of said abrasion mark.
8. device according to claim 7 is characterized in that, also comprises:
Feedback unit is used for then feeding back the bad data of said friction effect if judge that the friction effect of said abrasion mark is bad.
9. according to claim 7 or 8 described devices, it is characterized in that said analytic unit comprises:
Choose module, be used to choose the said 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 is used for the RGB data-switching of the three-dimensional of the said pixel image sample gradation of image data for two dimension;
Filtration module is used for the gradation of image data of said pixel image sample are carried out Filtering Processing, and drawing image gradation data circle of equal altitudes;
The local extremum module is used for keeping greater than threshold value image gray gradation data, and obtains the extreme point of gradation of image data;
Classifying module is used for according to the classification condition, said extreme point is sorted out be treated to the local extremum point;
The match mould is fast, is used for the local extremum point of each type is fitted to the one dimension polynomial expression;
Angle evaluation module is used to obtain polynomial angle average of all one dimensions and angle variance.
10. device according to claim 9 is characterized in that, the point of the local extremum in each type is fitted to the one dimension polynomial expression be: the quantity of local extremum point in each type is fitted to the one dimension polynomial expression more than or equal to 3 local extremum point.
11. device according to claim 10 is characterized in that,
Said judge module specifically is used for: said angle average is compared with preset angular standard value, and said angle variance is compared with preset angle variance criterion value; If said angle average is less than said angular standard value, and said angle variance judges then that greater than said angle variance criterion value the friction effect of said abrasion mark is good; If said angle average is more than or equal to said angular standard value, or said angle variance judges then that less than said angle variance criterion value the friction effect of said abrasion mark is bad.
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| CN2010102389571A CN102339580B (en) | 2010-07-26 | 2010-07-26 | Method and device for detecting friction effect |
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| CN2010102389571A CN102339580B (en) | 2010-07-26 | 2010-07-26 | Method and device for detecting friction effect |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107561787A (en) * | 2017-09-15 | 2018-01-09 | 京东方科技集团股份有限公司 | Friction matching method and its device |
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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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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107561787A (en) * | 2017-09-15 | 2018-01-09 | 京东方科技集团股份有限公司 | Friction matching method and its device |
| CN107561787B (en) * | 2017-09-15 | 2021-01-26 | 京东方科技集团股份有限公司 | Friction alignment method and device thereof |
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