CN110047087A - A kind of go final result determination method based on image recognition - Google Patents
A kind of go final result determination method based on image recognition Download PDFInfo
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- CN110047087A CN110047087A CN201910315562.8A CN201910315562A CN110047087A CN 110047087 A CN110047087 A CN 110047087A CN 201910315562 A CN201910315562 A CN 201910315562A CN 110047087 A CN110047087 A CN 110047087A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20164—Salient point detection; Corner detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30242—Counting objects in image
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Abstract
The invention discloses a kind of go final result determination method based on image recognition, comprising: obtain the digital picture of chess game and storage；Carry out feature extraction to digital picture: 19*19 grid lines and the black of upper EDS maps, white side including chessboard are sub, and the crosspoint of grid lines is the point that can fall chess piece；According to the sub point bit distribution on grid lines of black, white side, black, the sub point on grid lines of white side itself, proprietary point and shared point bit quantity are calculated separately；Then the quantity of the black sub total point of white side is calculated separately, determines victory or defeat；The analysis result of storing step S3, and export or show.The present invention is based on the go final result determination methods of image recognition, according to distribution of the black-and-white piece on grid, point of the analytical calculation black-and-white piece on grid itself, proprietary point and shared point bit quantity, then each point is added respectively, obtains judgement as a result, it is not necessary that picture is compared and is re-recognized, a large amount of calculation amounts can be saved in this way, reduce cost.
Description
Technical field
The present invention relates to image recognition, in particular to a kind of go final result determination method based on image recognition.
Background technique
Image recognition is a key areas of artificial intelligence.Image recognition technology can provide many convenience for user,
Such as it license plate is identified can quickly screen license plate；For another example use can be facilitated by identifying to the identifying code of number of site
Family such as places an order, buys at the operation, and the convenient service of the certain operations of substitution execution can be more provided for user.Conventional image recognition
It is a series of process such as to be compared, calculate with current image information by the information to storage, realizes to image
Re-recognize.
The application background of image recognition analysis instrument of the present invention is to determine that go player plays chess victory or defeat and respective score.Wherein
Go has the chess piece of black, white two kinds of colors, and the shape of chess piece is round, size is essentially identical.There are laterally 19 lines, vertical on chessboard
19 line compositions, horizontal line and vertical line crosspoint are that can fall the point of chess piece, therefore chessboard shares 19*19 point, such as Fig. 1 institute
Show.Existing recognition methods is complex, and calculation amount is larger, has higher requirements to processor performance.And determine in go final result
In, does not need current image information is compared to realize and image is re-recognized, it is only necessary to chess pieces all kinds of on chessboard
It is counted to judge victory or defeat or calculate winning rate, without being compared and re-recognize to chess game, a large amount of calculation amounts can be saved in this way,
Reduce cost.
Summary of the invention
Object of the present invention is to: a kind of go final result determination method based on image recognition is provided, using compared with plain mode, reality
Now go final result is determined.
The technical scheme is that
A kind of go final result determination method based on image recognition characterized by comprising
S1, the digital picture for obtaining chess game and storage；
S2, carry out feature extraction to digital picture: 19*19 grid lines and the black of upper EDS maps, white side including chessboard are sub, net
The crosspoint of ruling is the point that can fall chess piece；
S3, according to the sub point bit distribution on grid lines of black, white side, calculate separately black, the sub point on grid lines of white side itself
Position, proprietary point and shared point bit quantity；Then the quantity of the black sub total point of white side is calculated separately, determines victory or defeat；
The analysis result of S4, storing step S3, and export or show.
Preferably, in step S3, itself point refers to black, the sub point occupied of white side itself, is calculating itself
The point that dead piece in chess is occupied first is rejected when point.
Preferably, in step S3, the proprietary point refers to, the point surrounded by same color chess piece, also includes dead
The point that chess is occupied belongs to the proprietary point of this kind of color chess piece.
Preferably, in step S3, the proprietary point also includes extending in a certain point along grid lines four direction,
It is same color in first chess piece to meet or has extended to checkerboard grid sideline, then the point belongs to this kind of color chess
The proprietary point of son.
Preferably, in step S3, the shared point refers to, the point in the dual-active region for not having chess piece to occupy on grid,
Belong to shared point black, that white side is sub, each shared point is black, white side is sub respectively accounts for 1/2 quantity.
Preferably, in step S3, the shared point refers to, in a certain point, directly has two in connected point
The chess piece of kind different colours, then the point belongs to shared point black, that white side is sub.
Preferably, digital picture is obtained in step S1, using taking pictures or scan method；By image recognition before taking pictures or scanning
The camera of analyzer is directed at region to be captured, and shows region captured by camera lens on a display screen, adjusts area to be captured
The chessboard in domain is taken the photograph into image.
Preferably, described image discriminance analysis instrument is rechargeable battery powered by can be used, or is directly connected to power supply；Image recognition point
Analyzer carries boom unit, and completion is completed after taking pictures or scanning by buzzing prompt current operation.
Preferably, described image discriminance analysis instrument also passes through wirelessly or USB is connected to computer and mobile phone, image recognition analysis
Calculated result is sent computer and mobile phone by instrument, and after single completes transmission, original image, calculating data and the hand that will acquire
It moves the number of input and reference numeral is held the dark, situation of holding the white is automatically deleted.
Preferably, computer is automatically stored in the database after the data for having received image recognition analysis instrument, and calculates every
Group is played chess chess game player respectively score, completes that score calculates and next round is played chess list.
The invention has the advantages that
The present invention is based on the go final result determination methods of image recognition, according to distribution of the black-and-white piece on grid, analytical calculation
Each point, is then added respectively, obtains and sentence by point of the black-and-white piece on grid itself, proprietary point and shared point bit quantity
Determine as a result, can save a large amount of calculation amounts in this way it is not necessary that picture is compared and is re-recognized, reduce cost.
Detailed description of the invention
The invention will be further described with reference to the accompanying drawings and embodiments:
Fig. 1 is a kind of black-and-white piece schematic diagram of chess game；
Fig. 2 is image recognition analysis instrument structural schematic diagram of the invention；
Fig. 3 is image recognition analysis instrument backside configuration schematic diagram of the invention；
Fig. 4 is the flow chart of image recognition analysis method of the invention；
Fig. 5 is a kind of schematic diagram of anophthalmia dual-active situation；
Fig. 6 has a schematic diagram for dual-active situation to be a kind of.
Specific embodiment
As shown in Figures 2 and 3, image recognition analysis instrument used in the method for the present invention, hand including main casing 1 and below
Camera 3 is arranged in handle 2,1 front end of main casing, and rear end is provided with display 4, and top is equipped with boom unit 5；The handle 2
Upper-end front is equipped with camera shooting button 6, is equipped with battery case 7 and power switch 8 on rear side of lower end.
Image recognition analysis instrument power supply mode is available rechargeable battery, can also be directly connected to power supply.Before taking pictures, power supply is opened
Switch, image recognition analysis instrument, which is left head, will be directed at region to be captured, can show the region that camera lens is shot with video-corder on a display screen, with
Convenient for observation judgement, and carry out next step operation.Equipment carries boom unit, and completion has buzzing prompt and works as after taking pictures/scanning
Preceding operation is completed；It illustrates during taking pictures, image recognition analysis instrument is kept temporarily to remain stationary state.
As shown in figure 4, the flow chart of the go final result determination method of image recognition analysis of the present invention, comprising:
S1, the digital picture for obtaining chess game and storage；
S2, carry out feature extraction to digital picture: 19*19 grid lines and the black of upper EDS maps, white side including chessboard are sub, net
The crosspoint of ruling is the point that can fall chess piece；
S3, according to the sub point bit distribution on grid lines of black, white side, calculate separately black, the sub point on grid lines of white side itself
Position, proprietary point and shared point bit quantity；Then the quantity of the black sub total point of white side is calculated separately, determines victory or defeat；
The analysis result of S4, storing step S3, and export or show.Itself point refers to that itself is stored in grid
Material object in point, place point are included in point itself, and the point is the crosspoint of grid, and each material object is placed in grid
Crosspoint on.
In conjunction with Fig. 1, black, the sub point on grid lines of white side itself, proprietary point and shared point is described below.Point
When calculating.Point on chessboard is largely respectively hacked, white side occupies.Go end is rejected dead piece in chess, is marked as shown in figure 1
The trizonal white chess piece of I, II, III of note belongs to dead piece in chess, and the position that chess piece occupies is divided into point itself, shares point, is special
There are three kinds of forms of point.
Itself point refers to black, the sub point occupied of white side itself, first rejects dead piece in chess when calculating point itself
The point occupied.The condition that point itself is set up is the individual chessman or continuous two or more same color of the color
At least there is two implications (discontinuous two implication) in chess piece, the color point for otherwise falling chess piece is invalid, belongs to dead piece in chess, answers
When being removed, the white chess piece that red boxes first mark at I as shown in figure 1, only right side one breath, therefore the chess piece is answered for dead piece in chess
Work as rejecting, point occupied by white chess piece is not belonging to point of white chess piece itself.If two surrounded by same color
Chess piece only has continuous two implication, then besieged chess piece belongs to dead piece in chess, it should also be removed, as shown in figure 1 red boxes at II
The white chess piece of line mark, only continuous two implication in lower section, therefore this two white chess pieces are that dead piece in chess should be removed, the point
Position is not belonging to point of white chess piece itself.Black chess piece belongs to itself point in the point that region I, II, III itself is occupied
Position.
The proprietary point refers to that the point surrounded by same color chess piece also includes the point that dead piece in chess is occupied, belongs to
In the proprietary point of this kind of color chess piece.As shown in Figure 1, chessboard upper left position, after rejecting white dead piece in chess, which is only remained
Lower black chess piece.The region point is the proprietary point surrounded shared by black chess piece, and it is proprietary to belong to black chess piece.Such as the region III
After rejecting white dead piece in chess, three points that black chess piece surrounds belong to the proprietary point of black chess piece.
The proprietary point is it is also possible that calculate: extending in a certain point along grid lines four direction, first phase
It is same color in the chess piece of chance or has extended to checkerboard grid sideline, then the point belongs to the proprietary of this kind of color chess piece
Point.
The shared point refers to, the point in the dual-active region for not having chess piece to occupy on grid, belongs to that black, white side is sub is total to
There is point, each shared point is black, white side is sub respectively accounts for 1/2 quantity.Black mole, white chessman are mutually embedded in, and with the presence of gas, mutually it
Between other side cannot be eaten up, there are two types of dual-actives: anophthalmia dual-active, as shown in figure 5, black and white chess piece both sides cannot be other side
It eats up, and both sides' chess piece, either with or without layout chess eye, point A and B are two kinds of common gas of color chess piece, the two points belong to altogether
With point, both sides respectively account for 1/2, therefore both sides each get a son when statistics point；There is a dual-active, as shown in fig. 6, in upper left corner area
Four son of black and white five sub- both sides cannot eat up other side, this region belongs to dual-active region.Common point in dual-active region
Position, black, white both sides respectively account for 1/2, and such as A point in Fig. 6, black and white chess piece respectively accounts for 1/2 point.
The calculation of points in dual-active region also can simplify are as follows: vacant point in dual-active region, in a certain point, with it
There are two types of the chess piece of different colours in the point being connected directly, then the point belongs to shared point black, that white side is sub.In Fig. 5
A, B point and Fig. 6 in the left and right point of A point there are two types of the chess piece of different colours, this point belongs to shared point, for
Shared point statistics respectively accounts for the 1/2 of the point.
It is black, white side is sub respectively accounts for calculation of points result: itself point+proprietary point+shared point.
Method of the invention is when it is implemented, can be divided into common application and professional race application.
A. common application
(i) common application refers to that common go fan after chess game end, can quickly calculate respective score, fall and fill out
The step of son, number, saves the time.For the certain applications, image recognition analysis instrument permanently authorizes after using single purchase
Mode.
The image recognition analysis instrument for being directed to common application is different from match application, and funtion part is reduced.In point
After the completion of calculating, there is no data-transformation facility on display screen, is only capable of displaying black chess piece score and white chess piece score and deletion
Function.
B. professional race application
(i) professional race instrument is divided into three parts, image recognition analysis instrument, the peculiar software supported based on computer and is based on hand
The interim data of machine transmits APP or USB.
(ii) soft ware authorization: soft ware authorization sends software installation packet+authorization code, software installation and use process using mailbox
Middle requirement connects network, and authorization code has certain use time restriction, after going beyond the time limit more than the time soft ware authorization code, software
It cannot open.
Soft ware authorization expense is according to depending on player's quantity.Database volume set by software is according to player's number
Depending on amount, player's quantity is more, and the database that licensed software is established is also bigger.
(iii) image recognition analysis instrument: digital picture captured by image recognition analysis instrument and the storage after the completion of calculating
As a result the data all by encrypted protection, therefore in transmission process will not be tampered during interim data, had and utilized safety
Ensure data safety.Transmission mode: bluetooth+mobile module, by mobile module transmitted data on network computer;Or it is passed by USB
It is defeated.
(iv) APP: the APP opening of interim data transmission based on mobile phone, can support and be compatible with mobile phone operation system
System (main cell phone system has: Android, iOS, Firefox OS, YunOS, BlackBerry, Windows phone,
Symbian, Palm, BADA, Windows Mobile, ubuntu, Sailfish OS, Samsung Tizen), it can be in any intelligent hand
Search downloading installation in machine application market, can also search for downloading installation on mobile phone browser.
(v) match personal information: setting match demographic data library information on computer software: name, gender, unit, grade
(amateurish: electrodeless, 10 grades ~ 1 grade totally 11 grades, various regions regulation is different)；Section (professional section: first section, two sections ~ nine sections, amateurish section
Position: China: 1 section ~ 7 sections, Japan: 1 section ~ 8 sections), number, arrange classroom；
C. score and Integral Rule:
Big point: victory --- -2 points (opponent's beginning or midway abandon match and also calculate triumph, and transmission of only taking pictures does not calculate point knot
Fruit)；Draw --- -1 point；It is negative --- -0 point;
Small point: opponent point (scores accumulated of the former wheels of epicycle race, if first game, then opponent is divided into 0 point);
Scoring rule: big point preferential;
Integral Rule: every innings of score is accumulative;
Row's schedules: according to big point it is preferential, again small point successively sort.With the player that plays chess of section or peer, divides identical be divided into one greatly
Group, according to ranking: 1,2 play chess, 3 ~ 4 are played chess, and so on.
Explanation when professional race application specific implementation:
1) before starting to take pictures, under the supervision of judge, both sides should take away uncontested dead piece in chess；
2) function of switch button: long touch the button 2 ~ 3 seconds is switched on, and single clicks on button completion and takes pictures；
Or switch button only serves the effect of open and close machine, and trigger button of taking pictures in addition is arranged.
3) image recognition analysis instrument is manually entered player's number and reference numeral holds the dark or holds the white before shooting, and
Capable of completing black mole and white chessman in single chessboard, respectively point counts (point+shared point+proprietary point itself)；
4) display screen can show content: (1) dummy keyboard switching symbol (2) shows that camera institute alignment area (3) play chess to select
The number of hand and the respectively black mole corresponding to it, final point result (4) " transmission " button (5) transmission progress (6) the bluetooth figure of white chessman
Mark, can be set the open and close function of bluetooth；
5) the data transmission between analyzer and computer is using wireless or USB transmission, and tentative radio transmission apparatus is indigo plant at present
Tooth+mobile module, or USB.And after single completes transmission, the original image that will acquire, the volume for calculating data and being manually entered
Number and reference numeral is held the dark, situation of holding the white is automatically deleted；
6) in the data for having received image analyzer, (data content includes: player's number and corresponding held chess piece color, two to computer
Point-the point that kind of chess piece respectively occupies+shared point+proprietary point, original image itself) after be stored automatically in database
In；
7) ordering rule: series or the identical big split-phase of section are divided in same group with person, are arranged in same group according to cumulative score
Column ranking is played chess when entering next round match with group people's first place and second place, and third and fourth are played chess, and are played chess
List and so on.
The above embodiments merely illustrate the technical concept and features of the present invention, and its object is to allow person skilled in the art
It cans understand the content of the present invention and implement it accordingly, it is not intended to limit the scope of the present invention.It is all to lead according to the present invention
The modification for wanting the Spirit Essence of technical solution to be done, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of go final result determination method based on image recognition characterized by comprising
S1, the digital picture for obtaining chess game and storage；
S2, carry out feature extraction to digital picture: 19*19 grid lines and the black of upper EDS maps, white side including chessboard are sub, net
The crosspoint of ruling is the point that can fall chess piece；
S3, according to the sub point bit distribution on grid lines of black, white side, calculate separately black, the sub point on grid lines of white side itself
Position, proprietary point and shared point bit quantity；Then the quantity of the black sub total point of white side is calculated separately, determines victory or defeat；
The analysis result of S4, storing step S3, and export or show.
2. the go final result determination method according to claim 1 based on image recognition, which is characterized in that in step S3,
Itself point refers to black, the sub point occupied of white side itself, first rejects what dead piece in chess was occupied when calculating point itself
Point.
3. the go final result determination method according to claim 2 based on image recognition, which is characterized in that in step S3,
The proprietary point refers to that the point surrounded by same color chess piece also includes the point that dead piece in chess is occupied, belongs to this kind of face
The proprietary point of color chess piece.
4. the go final result determination method according to claim 3 based on image recognition, which is characterized in that in step S3,
The proprietary point also includes extending in a certain point along grid lines four direction, being same in first chess piece to meet
A kind of color has extended to checkerboard grid sideline, then the point belongs to the proprietary point of this kind of color chess piece.
5. the go final result determination method according to claim 3 based on image recognition, which is characterized in that in step S3,
The shared point refers to that the point in the dual-active region for not having chess piece to occupy on grid belongs to shared point black, that white side is sub,
It is each shared that point is black, white side is sub respectively accounts for 1/2 quantity.
6. the go final result determination method according to claim 5 based on image recognition, which is characterized in that in step S3,
The shared point refers to, in a certain point, directly in connected point there are two types of the chess piece of different colours, then and the point
Belong to shared point black, that white side is sub.
7. the go final result determination method according to claim 1 based on image recognition, which is characterized in that obtained in step S1
Digital picture is taken, using taking pictures or scan method；It is to be captured by the camera alignment of image recognition analysis instrument before taking pictures or scanning
Region, and region captured by camera lens is shown on a display screen, adjustment takes the photograph the chessboard in region to be captured into image.
8. the go final result determination method according to claim 8 based on image recognition, which is characterized in that described image is known
Other analyzer is rechargeable battery powered by can be used, or is directly connected to power supply；Image recognition analysis instrument carries boom unit, completes to take pictures
Or it is completed after scanning by buzzing prompt current operation.
9. the go final result determination method according to claim 8 based on image recognition, which is characterized in that described image is known
Other analyzer also passes through wireless or USB and is connected to computer and mobile phone, image recognition analysis instrument by calculated result be sent to computer and
Mobile phone, and after single completes transmission, original image, calculating data and the number and reference numeral being manually entered that will acquire are held
Black, situation of holding the white is automatically deleted.
10. the go final result determination method according to claim 9 based on image recognition, which is characterized in that computer is connecing
It is automatically stored in the database after data by complete image recognition analysis instrument, and calculates every group of chess game player respectively score of playing chess,
Complete that score calculates and next round is played chess list.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399888A (en) * | 2019-07-25 | 2019-11-01 | 西南民族大学 | A kind of go judgment system based on MLP neural network and computer vision |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108509956A (en) * | 2018-03-27 | 2018-09-07 | 深圳大学 | Method, system and the electronic equipment of go victory or defeat judgement based on image procossing |
-
2019
- 2019-04-19 CN CN201910315562.8A patent/CN110047087A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108509956A (en) * | 2018-03-27 | 2018-09-07 | 深圳大学 | Method, system and the electronic equipment of go victory or defeat judgement based on image procossing |
Non-Patent Citations (1)
| Title |
|---|
| 付世斌: "《手持移动终端平台上的围棋比赛图像识别研究》", 《中国优秀硕士学位论文全文数据库》, no. 03, pages 45 - 50 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399888A (en) * | 2019-07-25 | 2019-11-01 | 西南民族大学 | A kind of go judgment system based on MLP neural network and computer vision |
| CN110399888B (en) * | 2019-07-25 | 2021-08-27 | 西南民族大学 | Weiqi judging system based on MLP neural network and computer vision |
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