CN108198225A - The parameter automatic calibrating method and computer storage media of billiard ball pattern identification device - Google Patents

The parameter automatic calibrating method and computer storage media of billiard ball pattern identification device Download PDF

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Publication number
CN108198225A
CN108198225A CN201810018572.0A CN201810018572A CN108198225A CN 108198225 A CN108198225 A CN 108198225A CN 201810018572 A CN201810018572 A CN 201810018572A CN 108198225 A CN108198225 A CN 108198225A
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CN
China
Prior art keywords
value
characteristic
billiard ball
identification device
pattern identification
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CN201810018572.0A
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Chinese (zh)
Inventor
杨宏达
陈新
董征
于建
王鹏华
孟祥麒
石侃
杨金浩
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Beijing Hao Kai Science And Technology Co Ltd
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Beijing Hao Kai Science And Technology Co Ltd
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Priority to CN201810018572.0A priority Critical patent/CN108198225A/en
Publication of CN108198225A publication Critical patent/CN108198225A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image

Abstract

The present invention provides a kind of parameter automatic calibrating method of billiard ball pattern identification device and computer storage media, this method include:Multiple characteristic points on random acquisition billiard ball;And the characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.Method provided by the present invention can calibrate the characteristic standard value of billiard ball automatically, and when billiard ball usage time is long or replaces billiard ball and color being caused to change, this identification error brought by color change can be eliminated by calibrating automatically.

Description

The parameter automatic calibrating method and computer storage media of billiard ball pattern identification device
Technical field
The present invention relates to billiard ball fields more particularly to billiard ball pattern to identify, specially a kind of billiard ball pattern identification device Parameter automatic calibrating method and computer storage media.
Background technology
It is all that service response to solve artificial swing ball in billiard ball recreation is slow, speed is slow, of poor quality, cost of labor is high etc. More problems propose to carry out swing ball movement with special humanoid robot.One big key position of robot is exactly its " eyes " --- platform Globe daisy color identification device uses color sensor to realize the area of double of chromosphere, panchromatic ball, black ball and Archon by special algorithm Point.
In practical application process, since, all there are certain aberration, and aberration can be between each secondary billiard ball Usage time increasingly becomes much larger long, this just brings problem to the identification of billiard ball.It can not using fixed calibration value Chromatic aberration is adapted to, may can complete function by secondary billiard ball to one, a secondary billiard ball is changed and cannot accurately carry out pattern and identify.
For this problem, it is necessary to introduce a kind of automatic calibrating method of identification parameter so that identification device adapts to The chromatic aberration of billiard ball color.On the one hand it when robot has used a secondary new billiard ball, needs to initialize calibrating parameters, and It, also can adaptive adjusting parameter in the operating of robot later.
Invention content
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of parameter of billiard ball pattern identification device is automatic Calibration method and computer storage media.The parameter automatic calibrating method can quickly adapt to two width difference after billiard ball are replaced Chromatic aberration between billiard ball also can adapt to the chromatic aberration that billiard ball are generated with the increase of usage time, and according to color Reference standard value is calibrated in the variation of difference automatically.
The parameter automatic calibrating method of a kind of billiard ball pattern identification device provided in the specific embodiment of the present invention, should Automatic calibrating method includes:Multiple characteristic points on random acquisition billiard ball;And institute is determined according to the characteristic value of the characteristic point State the characteristic standard value of billiard ball.
In the specific embodiment of the present invention, this method further includes:It is true according to the characteristic value of multiple characteristic points Deviation characteristics value in the fixed characteristic value;And the deviation characteristics value is rejected from the characteristic value.
Wherein, the step of deviation characteristics value in the characteristic value is determined according to the characteristic value of multiple characteristic points It specifically includes:Calculate the average value and standard deviation of the characteristic value;And according to the characteristic value, the average value, the mark Quasi- difference and threshold value determine the deviation characteristics value.
Wherein, the step of the deviation characteristics value is determined according to the characteristic value, the average value, the standard deviation and threshold value Suddenly it specifically includes:According to the average valueThe characteristic value x of the standard deviation sigma and the characteristic pointnCalculate the mistake of this feature point Difference DELTA;If the error amount is more than the threshold value, it is determined that the characteristic value of this feature point is the deviation characteristics value;And Otherwise, it determines the characteristic value of this feature point is not the deviation characteristics value.
Wherein, the specific formula for calculation of the error amount Δ is:Wherein,Feature for all characteristic points The average value of value;σ is the standard deviation of all characteristic values;xnCharacteristic value for n-th of characteristic point;N is positive integer.
In the specific embodiment of the present invention, the average value for calculating the characteristic value specifically includes:Reject multiple spies Levy the maximum value and minimum value in the characteristic value of point;And calculate the average value of residue character value.
As one embodiment of the present invention, this method further includes:Initialize the color value of the billiard ball;And it utilizes The characteristic standard value updates the color value.
In the specific embodiment of the present invention, the characteristic point is evenly distributed on the surface of the billiard ball.
In the specific embodiment of the present invention, the number of the characteristic point is 30~60.
In the specific embodiment of the present invention, the characteristic standard value is the colour type of the billiard ball or is described The color value of black ball and Archon in ball.
In the specific embodiment of the present invention, the characteristic value of the characteristic point for 60 white features points characteristic value or Characteristic value for 60 darkened features points.
In the specific embodiment of the present invention, a kind of computer storage media for including computer executed instructions, the meter When calculation machine execute instruction is handled via data processing equipment, which performs the parameter of billiard ball pattern identification device certainly Dynamic calibration method.
According to above-mentioned specific embodiment of the invention it is found that a kind of parameter automatic calibrating method of billiard ball pattern identification device And computer storage media at least has the advantages that:With the use of billiard ball, the color on billiard ball surface can send out variation upper, Or one width billiard ball of replacement all can bring certain influence to the pattern identification device on script billiard table or even can reduce identification Precision, there is a large amount of identification mistake, automatic calibrating method of the invention can eliminate this phenomenon, and this method can be automatic The pattern of billiard ball is calibrated, when billiard ball cause color to change due to usage time is elongated, this method can pass through automatic school Standard is this because the identification error brought during color change to eliminate.
It is to be understood that above-mentioned general description and detailed description below are merely illustrative and illustrative, not It can the limitation range of the invention to be advocated.
Description of the drawings
Following attached drawing is the part of specification of the present invention, depicts example embodiments of the present invention, appended attached Figure is used for illustrating the principle of the present invention together with the description of specification.
Fig. 1 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment one.
Fig. 2 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment two.
Fig. 3 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment three.
Fig. 4 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of example IV.
Fig. 5 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment five.
Fig. 6 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment six.
Specific embodiment
The existing various exemplary embodiment that the present invention will be described in detail, the detailed description are not considered as the limit to the present invention System, and it is understood as the more detailed description to certain aspects of the invention, characteristic and embodiment.
In the case of without departing substantially from the scope or spirit of the invention, the specific embodiment of description of the invention can be done more Kind is improved and variation, this will be apparent to those skilled in the art.Other realities obtained by the specification of the present invention It is apparent obtain for technical personnel to apply mode.Present specification and embodiment are only exemplary.
Fig. 1 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment one, as shown in Figure 1, the multiple characteristic points acquired on billiard ball that device is random, then according to these features The characteristic value of point determines the characteristic standard value of billiard ball.
In the specific embodiment shown in the drawings, the parameter automatic calibrating method of billiard ball pattern identification device includes:
Step 100:Multiple characteristic points on random acquisition billiard ball, wherein, pattern identification device is to the surface multiple spot of billiard ball Carry out characteristic point acquisition, the position of collection point has randomness, to ensure the comprehensive of the data of acquisition.
Step 103:The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point, wherein, wherein feature Random point of the point for billiard ball surface, and characteristic value is the corresponding color value of this feature point, then judges to put into effect according to characteristic value The characteristic standard value of ball.
Referring to Fig. 1, the sensor in identification device takes billiard ball surface a little at random, carries out data acquisition, record 30~ 60 characteristic points, these characteristic points corresponding spherical surface of corresponding characteristic value representative color of a bit, according to these characteristic value determining table The characteristic standard value of ball.
Fig. 2 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment two, as shown in Fig. 2, determining the deviation characteristics in characteristic value according to the corresponding characteristic value of multiple characteristic points Value, then rejects deviation characteristics value from these characteristic values.
In the specific embodiment shown in the drawings, before step 103, the parameter of billiard ball pattern identification device is calibrated automatically Method further includes:
Step 101:The deviation characteristics value in the characteristic value is determined according to the characteristic value of multiple characteristic points, In, according to the corresponding characteristic value of these collected characteristic points, calculate the deviation characteristics value in characteristic value.
Step 102:The deviation characteristics value is rejected from the characteristic value, wherein, in order to ensure the accuracy of characteristic value, Deviation characteristics value in characteristic value is rejected from characteristic value.
Referring to Fig. 2, identification device is corresponding according to these characteristic points to 30~60 characteristic points of billiard ball surface random acquisition Characteristic value determines the deviation characteristics value in characteristic value, then rejects deviation characteristics value among these features, to ensure spy The accuracy of value indicative.The characteristic standard value of billiard ball is finally determined according to the characteristic value of characteristic point.If identification is black ball, black There is the point in the band of position containing number 8 to be mixed with a large amount of whites in ball, these points cannot function as the standard value reference of black.Institute Will eliminate the corresponding characteristic value of the characteristic point of these white areas from characteristic value, ensure the standard of residue character value True property.
Fig. 3 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment three, as shown in figure 3, calculate the average value and standard deviation of characteristic value, then according to characteristic value, average Value, standard deviation and threshold value determination deviation characteristic value.
In the specific embodiment shown in the drawings, step 101 specifically includes:
Step 1011:Calculate the average value and standard deviation of the characteristic value, in specific embodiment of the invention, need by The average value and standard deviation of the corresponding characteristic value of collected characteristic point calculate.
Step 1012:The deviation characteristics are determined according to the characteristic value, the average value, the standard deviation and threshold value It is worth, it, can be according to characteristic value, average value, standard deviation and threshold value determination deviation characteristic value in specific embodiment of the invention.
Referring to Fig. 3, identification device is to 30~60 characteristic points of billiard ball surface random acquisition, by being corresponded to these characteristic points Characteristic value calculated, average value and standard value is obtained, is then determined further according to characteristic value, average value, standard deviation and threshold value Deviation characteristics value.Deviation characteristics value belongs to exceptional value, needs to reject from characteristic value, finally according to the corresponding characteristic value of characteristic point Determine the characteristic standard value of billiard ball.
Fig. 4 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of example IV, as shown in figure 4, first calculate error amount, error amount is if greater than the threshold values of setting, then this feature point Characteristic value for deviation characteristics value, it is on the contrary then be not deviation characteristics value.
In the specific embodiment shown in the drawings, step 1012 specifically includes:
Step 10121:According to the average valueThe characteristic value x of the standard deviation sigma and the characteristic pointnCalculate the spy The error amount Δ of point is levied, wherein, average value is calculated according to the corresponding characteristic value of characteristic pointAnd standard deviation sigma, then according to spy Value indicative xnCalculate the error amount Δ of characteristic point.
Step 10122:If the error amount is more than the threshold value, it is determined that the characteristic value of this feature point is the deviation Characteristic value, wherein, after calculating error amount by step 10121, error amount and the threshold values of setting are compared, if error amount is big In threshold values, then the characteristic value of this feature point will be removed.
Step 10123:Otherwise, it determines the characteristic value of this feature point is not the deviation characteristics value, wherein, pass through step After 10121 calculate error amount, error amount and the threshold values of setting are compared, if error amount is less than threshold values, this feature point Characteristic value would not be removed.
Referring to Fig. 4, by calculating error amount, error amount and threshold values are compared, will be greater than the feature of the characteristic point of threshold values Value rejects this feature value labeled as exceptional value, and remaining characteristic value is remained to the feature to be used for determining billiard ball Standard value.In the specific embodiment of the present invention, the specific formula for calculation of error amount Δ is:
Wherein,The average value of characteristic value for all characteristic points;σ is the standard deviation of all characteristic values;xnFor n-th of spy Levy the characteristic value of point;N is positive integer.
Fig. 5 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment five as shown in figure 5, in order to which the average value of characteristic value and the value of standard deviation that make are more accurate, needs The maximum value in characteristic value and minimum value are removed before the computation, then remaining characteristic value, which carries out calculating again, is obtained average value And standard deviation.
In the specific embodiment shown in the drawings, step 1011 specifically includes:
Step 10111:The maximum value and minimum value in the characteristic value of multiple characteristic points are rejected, wherein, acquisition To characteristic point in have the larger exceptional value of some deviations, in order to ensure calculate accuracy need these before the computation Dubious value removes, that is to say, that removes the maximum value in characteristic value and minimum value, takes intermediate numerical value, to ensure to calculate Result close to actual value.
Step 10112:The average value of residue character value is calculated, wherein, the maximum value in characteristic value and minimum value are removed Afterwards, remaining characteristic value is intermediate numerical value, then calculating again as a result, so more close to actual value.
Referring to Fig. 5, the corresponding characteristic value of multiple characteristic points of acquisition differs, and to establish a capital be similar, also will appear many exceptions Value, these exceptional values can influence to calculate as a result, therefore, first by the characteristic value of acquisition before average value and standard deviation is calculated Maximum value and minimum value removal, calculate average value and standard deviation with remaining characteristic value.Then average value, standard are recycled Difference, characteristic value and threshold values carry out determination deviation characteristic value, and deviation characteristics value is rejected, finally just can according to remaining characteristic value come Determine the characteristic standard value of billiard ball.
Fig. 6 is the parameter automatic calibrating method of a kind of billiard ball pattern identification device that the specific embodiment of the invention provides The flow chart of embodiment six, as shown in fig. 6, another embodiment of the present invention, since in use, billiard ball wear So that color changes, the white black of initial setting can not adapt to difference of changing colour, and identification mistake occur, so identification device needs Want the black-white colors reference standard inside adaptively changing.
In the specific embodiment shown in the drawings, before step 103, the parameter of billiard ball pattern identification device is calibrated automatically Method further includes:
Step 100-1:The color value of the billiard ball is initialized, wherein, in specific embodiment of the invention, random acquisition Then multiple characteristic points of billiard ball initialize the numerical value of billiard ball color, so that the covering of new gathered data is entered.
In the specific embodiment shown in the drawings, after step 103, the parameter of billiard ball pattern identification device is calibrated automatically Method further includes:
Step 104:The color value is updated using the characteristic standard value, wherein, the characteristic value of acquisition is passed through into calculating After being determined as characteristic standard value, this feature standard value is updated to the color value of the billiard ball.
Referring to Fig. 6, the surface of billiard ball is acquired at random, collected multiple characteristic values are calculated, and will be accidentally The very big abnormality value removing of difference, is determined as characteristic standard value by residue character value, at this time also carries out the color value of billiard ball just The covering of newest characteristic standard value is got on, the color value of billiard ball is updated, after ensuring that usage time is long by beginningization Billiard ball change colour, but identification device still can accurately identify the color of billiard ball.
In the specific embodiment of the present invention, the number for acquiring the characteristic point of billiard ball is 30~60.Collection point is more, to platform The identification precision of ball is higher.
In the specific embodiment of the present invention, characteristic standard value is the colour type of billiard ball or is black ball and white in billiard ball The color value of ball.
In the specific embodiment of the present invention, the characteristic value of characteristic point is the characteristic value of 60 white features points or is 60 The characteristic value of a darkened features point.
The specific embodiment of the invention provides a kind of computer storage media for including computer executed instructions, the computer When execute instruction is handled via data processing equipment, which performs the automatic school of parameter of billiard ball pattern identification device Quasi- method.Wherein, method includes the following steps:
Step 100:Multiple characteristic points on random acquisition billiard ball.
Step 103:The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.
The specific embodiment of the invention provides a kind of computer storage media for including computer executed instructions, the computer When execute instruction is handled via data processing equipment, which performs the automatic school of parameter of billiard ball pattern identification device Quasi- method.Wherein, method includes the following steps:
Step 100:Multiple characteristic points on random acquisition billiard ball.
Step 100-1:Initialize the color value of the billiard ball.
Step 103:The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.
Step 104:The color value is updated using the characteristic standard value.
The specific embodiment of the invention provides a kind of computer storage media for including computer executed instructions, the computer When execute instruction is handled via data processing equipment, which performs the automatic school of parameter of billiard ball pattern identification device Quasi- method.Wherein, method includes the following steps:
Step 100:Multiple characteristic points on random acquisition billiard ball.
Step 100-1:Initialize the color value of the billiard ball.
Step 101:The deviation characteristics value in the characteristic value is determined according to the characteristic value of multiple characteristic points.
Step 102:The deviation characteristics value is rejected from the characteristic value.
Step 103:The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.
Step 104:The color value is updated using the characteristic standard value.
The specific embodiment of the invention provides a kind of computer storage media for including computer executed instructions, the computer When execute instruction is handled via data processing equipment, which performs the automatic school of parameter of billiard ball pattern identification device Quasi- method.Wherein, method includes the following steps:
Step 100:Multiple characteristic points on random acquisition billiard ball.
Step 100-1:Initialize the color value of the billiard ball.
Step 1011:Calculate the average value and standard deviation of the characteristic value.
Step 1012:The deviation characteristics are determined according to the characteristic value, the average value, the standard deviation and threshold value Value.
Step 102:The deviation characteristics value is rejected from the characteristic value.
Step 103:The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.
Step 104:The color value is updated using the characteristic standard value.
The specific embodiment of the invention provides a kind of computer storage media for including computer executed instructions, the computer When execute instruction is handled via data processing equipment, which performs the automatic school of parameter of billiard ball pattern identification device Quasi- method.Wherein, method includes the following steps:
Step 100:Multiple characteristic points on random acquisition billiard ball.
Step 100-1:Initialize the color value of the billiard ball.
Step 10111:Reject the maximum value and minimum value in the characteristic value of multiple characteristic points.
Step 10112:Calculate the average value of residue character value.
Step 1012:The deviation characteristics are determined according to the characteristic value, the average value, the standard deviation and threshold value Value.
Step 102:The deviation characteristics value is rejected from the characteristic value.
Step 103:The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.
Step 104:The color value is updated using the characteristic standard value.
The specific embodiment of the invention provides a kind of computer storage media for including computer executed instructions, the computer When execute instruction is handled via data processing equipment, which performs the automatic school of parameter of billiard ball pattern identification device Quasi- method.Wherein, method includes the following steps:
Step 100:Multiple characteristic points on random acquisition billiard ball.
Step 100-1:Initialize the color value of the billiard ball.
Step 1011:Calculate the average value and standard deviation of the characteristic value.
Step 10121:According to the average valueThe characteristic value x of the standard deviation sigma and the characteristic pointnCalculate this feature The error amount Δ of point.
Step 10122:If the error amount is more than the threshold value, it is determined that the characteristic value of this feature point is the deviation Characteristic value.
Step 10123:Otherwise, it determines the characteristic value of this feature point is not the deviation characteristics value
Step 102:The deviation characteristics value is rejected from the characteristic value.
Step 103:The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.
Step 104:The color value is updated using the characteristic standard value.
The foregoing is merely the schematical specific embodiment of the present invention, before the design of the present invention and principle is not departed from It puts, the equivalent variations and modification that any those skilled in the art is made should all belong to the scope of protection of the invention.

Claims (12)

1. a kind of parameter automatic calibrating method of billiard ball pattern identification device, which is characterized in that this method includes:
Multiple characteristic points on random acquisition billiard ball;And
The characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point.
2. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 1, which is characterized in that according to institute Before stating the step of the characteristic value of characteristic point determines the characteristic standard value of the billiard ball, this method further includes:
The deviation characteristics value in the characteristic value is determined according to the characteristic value of multiple characteristic points;And
The deviation characteristics value is rejected from the characteristic value.
3. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 2, which is characterized in that according to more The characteristic value of a characteristic point determines the step of deviation characteristics value in the characteristic value, specifically includes:
Calculate the average value and standard deviation of the characteristic value;And
The deviation characteristics value is determined according to the characteristic value, the average value, the standard deviation and threshold value.
4. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 3, which is characterized in that according to institute The step of characteristic value, the average value, the standard deviation and threshold value determine the deviation characteristics value is stated, is specifically included:
According to the average valueThe characteristic value x of the standard deviation sigma and the characteristic pointnCalculate the error amount Δ of this feature point;
If the error amount is more than the threshold value, it is determined that the characteristic value of this feature point is the deviation characteristics value;And
Otherwise, it determines the characteristic value of this feature point is not the deviation characteristics value.
5. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 4, which is characterized in that the mistake The specific formula for calculation of difference DELTA is:
Wherein,The average value of characteristic value for all characteristic points;σ is the standard deviation of all characteristic values;xnFor n-th of characteristic point Characteristic value;N is positive integer.
6. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 3, which is characterized in that calculate institute The step of stating the average value of characteristic value, specifically includes:
Reject the maximum value and minimum value in the characteristic value of multiple characteristic points;And
Calculate the average value of residue character value.
7. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 1, which is characterized in that according to institute Before stating the step of the characteristic value of characteristic point determines the characteristic standard value of the billiard ball, this method further includes:
The color value of the billiard ball is initialized,
After the step of characteristic standard value of the billiard ball is determined according to the characteristic value of the characteristic point, this method further includes:
The color value is updated using the characteristic standard value.
8. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 1, which is characterized in that the spy Sign point is evenly distributed on the surface of the billiard ball.
9. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 1, which is characterized in that the spy The number of sign point is 30~60.
10. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 1, which is characterized in that described Characteristic standard value is the colour type of the billiard ball or is the color value of black ball and Archon in the billiard ball.
11. the parameter automatic calibrating method of billiard ball pattern identification device according to claim 1, which is characterized in that described The characteristic value of characteristic point be the characteristic value of 60 white features points or be 60 darkened features points characteristic value.
12. a kind of computer storage media for including computer executed instructions, the computer executed instructions are via data processing During equipment processing, the parameter of 1~11 any billiard ball pattern identification device of data processing equipment perform claim requirement is certainly Dynamic calibration method.
CN201810018572.0A 2018-01-09 2018-01-09 The parameter automatic calibrating method and computer storage media of billiard ball pattern identification device Pending CN108198225A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112580583A (en) * 2020-12-28 2021-03-30 深圳市普汇智联科技有限公司 Automatic calibration method and system for billiard design and color identification parameters

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7330600B2 (en) * 2002-09-05 2008-02-12 Ricoh Company, Ltd. Image processing device estimating black character color and ground color according to character-area pixels classified into two classes
CN104463191A (en) * 2014-10-30 2015-03-25 华南理工大学 Robot visual processing method based on attention mechanism
US20160086051A1 (en) * 2014-09-19 2016-03-24 Brain Corporation Apparatus and methods for tracking salient features
CN105678710A (en) * 2016-01-14 2016-06-15 佛山华芯微特科技有限公司 Color correction and restoration system and color correction and restoration method
CN106485231A (en) * 2016-10-21 2017-03-08 上海未来伙伴机器人有限公司 A kind of target color lump extracting method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7330600B2 (en) * 2002-09-05 2008-02-12 Ricoh Company, Ltd. Image processing device estimating black character color and ground color according to character-area pixels classified into two classes
US20160086051A1 (en) * 2014-09-19 2016-03-24 Brain Corporation Apparatus and methods for tracking salient features
CN104463191A (en) * 2014-10-30 2015-03-25 华南理工大学 Robot visual processing method based on attention mechanism
CN105678710A (en) * 2016-01-14 2016-06-15 佛山华芯微特科技有限公司 Color correction and restoration system and color correction and restoration method
CN106485231A (en) * 2016-10-21 2017-03-08 上海未来伙伴机器人有限公司 A kind of target color lump extracting method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112580583A (en) * 2020-12-28 2021-03-30 深圳市普汇智联科技有限公司 Automatic calibration method and system for billiard design and color identification parameters
CN112580583B (en) * 2020-12-28 2024-03-15 深圳市普汇智联科技有限公司 Automatic calibration method and system for billiard ball color recognition parameters

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Application publication date: 20180622