CN106091996A - A kind of online visible detection method of stone flatness - Google Patents

A kind of online visible detection method of stone flatness Download PDF

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Publication number
CN106091996A
CN106091996A CN201610361581.0A CN201610361581A CN106091996A CN 106091996 A CN106091996 A CN 106091996A CN 201610361581 A CN201610361581 A CN 201610361581A CN 106091996 A CN106091996 A CN 106091996A
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stone
flower pattern
pattern cycle
flatness
image
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CN106091996B (en
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郝矿荣
毛祎蒙
丁永生
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Donghua University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/30Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
    • G01B11/303Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces using photoelectric detection means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • 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
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30124Fabrics; Textile; Paper

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention relates to a kind of online visible detection method of stone flatness, be divided into off-line phase and two processes of on-line stage, specifically include: off-line phase: obtain stone sample image;Stone sample image according to obtaining asks for the flower pattern cycle of stone sample image horizontal direction and the flower pattern cycle of vertical direction respectively;On-line stage: obtain stone image in real time;Flower pattern cycle and the flower pattern cycle of vertical direction in real-time stone image level direction is asked for respectively according to the stone image obtained;The flower pattern cycle of the real-time stone image obtained online was contrasted with the flower pattern cycle of the stone sample image of off-line phase, and judges whether flatness meets requirement.The present invention is real-time, and accuracy is high, the problem that the stone flatness that the factors such as pattern cloth abundant species and light intensity that overcome cause is difficult to detect.

Description

A kind of online visible detection method of stone flatness
Technical field
The present invention relates to stone online measuring technique field, particularly relate to a kind of online vision-based detection side of stone flatness Method.
Background technology
The four of clothing are big, and production process is preparation, cutting respectively, sews and arrange.Cutting is as the important ring of garment production Joint, the quality of its quality directly affects the dimensions of clothing and the quality of dress-goods.Therefore, garment production industry must be high Degree payes attention to cutting link.And the paving distribution system of industry layout machine is as the preceding working procedure of cutting, the quality of its paving cloth quality and essence Degree directly affects the quality of cut-parts and the utilization rate of materials.Additionally, the dress-goods quality problems one that paving cloth quality causes As be to occur in batch, the production cost of enterprise be will also result in serious impact.
Industry layout machine has existed for for many years in garment production industry, but performance in the past is the most not fully up to expectations, main The shortcoming of the following aspects to be shown as:
Cloth-feeding device and the cloth unfolding device of industry layout machine are to be driven by independent motor respectively, thus cause two The speed of service of person is extremely difficult to synchronize, if the speed of service of cloth-feeding device is more than the speed of service of cloth unfolding device, then just There will be cloth stacking phenomenon;If the speed of cloth-feeding device is less than the speed of cloth unfolding device, then arise that cloth is pullled Phenomenon;No matter occur that stacking phenomenon still pulls phenomenon, all can affect cutting and the splicing of later stage cloth.
Owing to cloth is flexible material, industry layout machine is when spreading cloth back and forth, and cloth folding cannot be pushed down by stone two ends, The position that stone folds easily is swelled, and cloth sliding phenomenon will occur so that the cloth out-of-flatness spread, in later stage cutting Time, due to the irregular impact of cloth, it will cause the cloth edge out-of-flatness cut out.
Cloth carries out spread action through cloth pressing roller, and cloth compares out-of-flatness, usually there will be buckling phenomena, and in the later stage During cutting, due to the impact of fold, cause cutting cloth edge out-of-flatness out, and when cloth splices, pattern etc. is also Therefore situation about cannot align can occur.
Chinese patent 201210090696.2 discloses a kind of Fixed cloth pressing device used for automatic cloth paving machine, including solid Folding device Agency drawing mechanism, head connects the connection fixed plate of double drawing mechanism and drives double drawing mechanism linear reciprocating motion paving cloth, The straight line slide driving Gu Zhe device mechanism ramps, decline slip, the compress connecting rod of linkage Gu Zhe device mechanism and compress anvil Plate reaches fixing fabric effect.This device have simple in construction, realize no-station pole canopy folding multilayer compress, convenient freely upset takes Go out the advantages such as fabric.
Chinese patent 201410381389.9 discloses a kind of full-automatic layout machine twin-stage edge aligning system, uses the right of two-stage Edge system, cradle below carries out thick opposite side, make uneven selvedge be maintained within the scope of the least, then through above Cradle carries out fine opposite side.This system, can realize to greatest extent for batching or grey cloth in the case of the most uneven Alignment selvedge.
Chinese patent 201510277906.2 discloses a kind of auto spreader, workbench, cloth-pulling device, paving arrange Put, left cloth-pressing device, adsorbent equipment and right cloth-pressing device composition.This tentering machine can realize the pull-out of cloth and smooth aptychus Wrinkle, the laying being close to layer by layer are on paving cloth platform;Often complete one layer of paving cloth work, it is not necessary to disconnected cloth can carry out reciprocal granny rag paving Cloth;Save manpower, improve efficiency and the quality of paving cloth.
As can be seen here, existing improvement device and research method major part are to improve based on hardware configuration, implement Come relative complex, the most fully by the method for machine vision, industry layout machine stone flatness carried out online vision-based detection, It is a problem demanding prompt solution to be adapted to the practical application request of industry spot.
Summary of the invention
The technical problem to be solved is to provide a kind of industry online vision-based detection side of layout machine stone flatness Method, be adapted to industry spot high real-time, in high precision, the requirement of cloth abundant species.
The technical solution adopted for the present invention to solve the technical problems is: provide a kind of online vision-based detection of stone flatness Method, is divided into off-line phase and two processes of on-line stage, specifically includes:
Off-line phase: obtain stone sample image;Stone sample image according to obtaining asks for stone sample image respectively The flower pattern cycle of horizontal direction and the flower pattern cycle of vertical direction;
On-line stage: obtain stone image in real time;Stone image according to obtaining asks for real-time stone image level respectively The flower pattern cycle in direction and the flower pattern cycle of vertical direction;By the flower pattern cycle of real-time stone image obtained online and off-line rank The flower pattern cycle of the stone sample image of section contrasts, and judges whether flatness meets requirement.
The acquiring method in described flower pattern cycle comprises the following steps:
(1) build image distance matching degree equation, ask for accumulation distance matching degree horizontally and vertically respectively Function;
(2) at interval [K-Pn+ 1, K-1] on, the accumulation distance correspondence function one of calculated level direction or vertical direction The maximum of rank forward difference and minima, and the pixel value corresponding with minima is designated as Pn, continuous iteration, until meeting Condition K-Pn+ 1≤K-1, wherein, K is the sum of all pixels in horizontal direction or vertical direction;
(3) calculate the distance between distance and the adjacent minima between adjacent maxima, take in both occurrence number Many distances are as the patterns of fabric cycle of horizontal direction or vertical direction.
The flower pattern cycle in the flower pattern cycle of real-time stone image with the stone sample image of off-line phase is being contrasted Time, when both errors are less than threshold value, then it represents that meet flatness requirement.
CCD camera is used to obtain stone sample image and stone image.
Beneficial effect
Owing to have employed above-mentioned technical scheme, the present invention compared with prior art, has the following advantages that and actively imitates Really: the present invention is by the flatness of the change-detection industry layout machine stone in stone flower pattern cycle, by on-line checking and off-line mistake Journey combines, detection method real-time, and accuracy is high, overcomes what the factors such as pattern cloth abundant species and light intensity caused Stone flatness is difficult to the problem detected, and extends to the pattern cloth flatness of the association areas such as corresponding loom, batcher Detection.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention;
Fig. 2 is the system constructing figure of embodiment;
Fig. 3 is the off-line sample graph of embodiment;
Fig. 4 is accumulation distance correspondence function analogous diagram, and wherein, (a) is horizontal direction, and (b) is vertical direction;
Fig. 5 is the forward direction first-order difference analogous diagram of accumulation distance correspondence function, and wherein, (a) is horizontal direction, and (b) is Vertical direction;
Fig. 6 is the real-time stone image of embodiment, and wherein, (a)~(d) is the stone meeting flatness requirement, (e)~ H () is the stone being unsatisfactory for flatness requirement.
Detailed description of the invention
Below in conjunction with specific embodiment, the present invention is expanded on further.Should be understood that these embodiments are merely to illustrate the present invention Rather than restriction the scope of the present invention.In addition, it is to be understood that after having read the content that the present invention lectures, people in the art The present invention can be made various changes or modifications by member, and these equivalent form of values fall within the application appended claims equally and limited Scope.
Embodiments of the present invention relate to a kind of online visible detection method of stone flatness, as it is shown in figure 1, be divided into off-line Stage and two processes of on-line stage, specifically include:
Off-line phase:
(1) at distance industry layout machine plaiting device about 5cm, the mechanical parameters such as CCD camera lens aperture, focal length are adjusted, Below cloth outlet, high-power strip source is installed, shoots picture, obtain the image sequence of stone sample.
(2) flower pattern cycle and the vertical direction in stone image level direction is asked for respectively according to the stone sample image obtained The flower pattern cycle
(2.1) build image distance matching degree equation, ask for accumulation distance coupling horizontally and vertically respectively Degree function.
(2.2) as a example by horizontal direction, vertical direction can be similar to step and try to achieve.The accumulation distance coupling in calculated level direction The single order forward difference of degree function;On interval [0, M-1], the maximum of single order forward difference being designated as X (1), minima is remembered For X (2);Meanwhile, the pixel value corresponding with X (2) is designated as P0;
(2.3) for arbitrary positive integer n, at interval [M-Pn+ 1, M-1] on, the accumulation distance in calculated level direction The maximum of degree of joining function single order forward difference and minima, be designated as X (2n+1) and X (2n) respectively, be also equivalent to X (2n+1) Have recorded the peak value of accumulation distance correspondence function single order forward direction differential, X (2n) have recorded accumulation distance correspondence function single order The valley of forward direction differential, wherein, the pixel value corresponding with X (2n) is designated as Pn, continuous iteration, until meeting condition M-Pn+1≤ M-1, M are the pixel count of horizontal direction;
(2.4) d is calculated1=X (2n+1)-X (2n-1), d2=X (2n+1)-X (2n-1), wherein, d1Have recorded adjacent maximum Distance between value, d2Have recorded the distance between adjacent minima, take the most distance of occurrence number in the middle of both as water Square to patterns of fabric period m;Likewise it is possible to calculate the patterns of fabric cycle n of vertical direction.
On-line stage:
(1) at distance industry layout machine plaiting device about 5cm, shoot picture, obtain industry layout machine stone figure in real time Picture.
(2) use and the off-line phase flower pattern cycle asks for identical step and obtains the real-time stone flower pattern cycle.
(3) the sample flower pattern cycle in the real-time stone flower pattern cycle obtained online with off-line phase is contrasted, if The two circular error is less than 3%, then, the flatness of stone meets technological requirement, and industry layout machine normally works;Otherwise, paving Material flatness is unsatisfactory for technological requirement, and industry layout machine works on and can affect stone effect, it is necessary to shuts down and is adjusted checking.
Further illustrating the present invention as a example by industry layout machine below, wherein, CCD camera mounting means is as shown in Figure 1.
The step that is embodied as of off-line phase is:
Step one: image sequence obtains
(1.1) according to the requirement of on-line checking precision, at distance industry layout machine plaiting device about 5cm, continuous acquisition Stone sample image sequence.
(1.2) acquired image sequence is preserved, as the sample of follow-up off-line test.Sample in the present embodiment such as figure Shown in 3.
Step 2: the flower pattern cycle obtains
(2.1) note sample image be f (i, j), wherein, 1≤i≤M, 1≤j≤N, the distance matching degree that horizontal direction is often gone Function is:
λ h ( δ ) = Σ j = 1 N - δ [ f ( i , j ) - f ( i , j + δ ) ] 2
Wherein, δ represents the difference between pixel.
The distance correspondence function of every a line is added up, obtains the accumulation distance coupling of the horizontal direction of entire image Degree function is:
Λ h ( δ ) = Σ i = 1 M ( Σ j = 1 N - δ [ f ( i , j ) - f ( i , j + δ ) ] 2 )
Being similar to, the accumulation distance correspondence function of vertical direction is:
Λ v ( δ ) = Σ j = 1 N ( Σ i = 1 M - δ [ f ( i , j ) - f ( i + δ , j ) ] 2 )
In the present embodiment more clear for the sum function correspondence function making image, utilize MATLAB to be carried out by function Emulation, simulation result is as shown in Figure 4.
(2.2) accumulation distance correspondence function horizontally and vertically is sought its single order forward difference, and by one The maximum of rank forward difference is labeled as X (2n+1) successively, and minima is labeled as X (2n) successively, and wherein n is natural number.Equally Emulating by MATLAB, result is as shown in Figure 5.
(2.3) distance between adjacent maxima is designated as sequence d1, the distance between adjacent minima is designated as sequence d2, Take the most number of occurrence number in both as the flower pattern cycle.Sample in implementing for this example, can be in the hope of according to above step , the flower pattern period m of horizontal direction is 25, and the flower pattern cycle n of vertical direction is 27.
On-line stage is embodied as step:
Step one: the acquisition of detection image sequence
(1.1) obtain industry layout machine stone image in real time, at distance plaiting device about 5cm, obtain to be detected in real time Stone image.
(1.2) the present embodiment randomly selects the stone image of 8 width Real-time Collections, as shown in Figure 6.
Step 2: the stone flower pattern cycle obtains
Identical with off-line phase flower pattern cycle acquisition methods, calculate the level side of the stone image of on-line stage Real-time Collection To flower pattern period m ' and the flower pattern cycle n' of stone vertical direction.
Step 3: stone flatness on-line checking
The flower pattern cycle according to the on-line stage Real-time Collection stone image obtained in step 2 (includes horizontal direction and hangs down Nogata to) the stone sample flower pattern cycle calculated with off-line phase compare, if the two circular error is less than 3%, So flatness of stone meets technological requirement, and otherwise, stone flatness is unsatisfactory for technological requirement, in order to ensure stone effect, Must carry out shutting down detection.It is to say, | m-m'|/m < 3%, | when n-n'|/n < 3% meets simultaneously, then, now stone Meet the technological requirement of industry layout machine stone flatness, carry out next process, fabric dividing;Otherwise, industry layout machine stops paving Material, checks adjustment, again stone accordingly.
For the 8 width images randomly selected in embodiment, test shows, (a)-(d) is satisfied by industry layout machine stone and puts down The technological requirement of whole degree, can enter next process, carries out fabric dividing.E ()-(h) is unsatisfactory for technological requirement, need shutdown inspection Adjust, again spread cloth.Additionally, for the picture in embodiment, the process time is 0.5s, meet wanting of real-time in industry spot Ask.
It is seen that, by the flatness of the change-detection industry layout machine stone in stone flower pattern cycle, by on-line checking Combine with off-line procedure, detection method real-time, accuracy is high, overcome pattern cloth abundant species and light intensity etc. because of The problem that the stone flatness that element causes is difficult to detect.

Claims (4)

1. the online visible detection method of stone flatness, it is characterised in that be divided into off-line phase and two mistakes of on-line stage Journey, specifically includes:
Off-line phase: obtain stone sample image;Stone sample image according to obtaining asks for stone sample image level respectively The flower pattern cycle in direction and the flower pattern cycle of vertical direction;
On-line stage: obtain stone image in real time;Stone image according to obtaining asks for real-time stone image level direction respectively The flower pattern cycle and the flower pattern cycle of vertical direction;By the flower pattern cycle of real-time stone image obtained online and off-line phase The flower pattern cycle of stone sample image contrasts, and judges whether flatness meets requirement.
The online visible detection method of stone flatness the most according to claim 1, it is characterised in that the described flower pattern cycle Acquiring method comprises the following steps:
(1) build image distance matching degree equation, ask for accumulation distance correspondence function horizontally and vertically respectively;
(2) at interval [K-Pn+ 1, K-1] on, the accumulation distance correspondence function single order forward direction of calculated level direction or vertical direction The maximum of difference and minima, and the pixel value corresponding with minima is designated as Pn, continuous iteration, until meeting condition K- Pn+ 1≤K-1, wherein, K is the sum of all pixels in horizontal direction or vertical direction;
(3) calculate the distance between distance and the adjacent minima between adjacent maxima, take occurrence number in both most Distance is as the patterns of fabric cycle of horizontal direction or vertical direction.
The online visible detection method of stone flatness the most according to claim 1, it is characterised in that by real-time stone figure When the flower pattern cycle of the flower pattern cycle of picture and the stone sample image of off-line phase contrasts, when both errors are less than threshold value Time, then it represents that meet flatness requirement.
The online visible detection method of stone flatness the most according to claim 1, it is characterised in that use CCD camera to obtain Take stone sample image and stone image.
CN201610361581.0A 2016-05-26 2016-05-26 A kind of online visible detection method of stone flatness Expired - Fee Related CN106091996B (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107203996A (en) * 2017-06-21 2017-09-26 江南大学 Woven fabric cycle of images method for automatic measurement
CN108180845A (en) * 2018-01-12 2018-06-19 珠海运控瑞奇数控科技有限公司 A kind of cloth testing agency of brassiere back buckle sewing machine and detection method
WO2018195797A1 (en) * 2017-04-26 2018-11-01 深圳配天智能技术研究院有限公司 Visual detection method, detection device, and robot
CN109463969A (en) * 2018-09-10 2019-03-15 深圳蓝胖子机器人有限公司 Recognition methods, robot and the computer storage medium of express delivery cabinet and its quick despatch
CN111024005A (en) * 2019-12-31 2020-04-17 芜湖哈特机器人产业技术研究院有限公司 Furniture spraying quality detection method based on vision

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001099785A (en) * 1999-09-30 2001-04-13 Tsudakoma Corp Method and device for automatic inspection
CN1523352A (en) * 2003-09-12 2004-08-25 东华大学 Fabric planeness gradation objective evaluation method
CN102279191A (en) * 2010-06-13 2011-12-14 中钞特种防伪科技有限公司 Detection method and apparatus for defects in periodic texture images
CN102879401A (en) * 2012-09-07 2013-01-16 西安工程大学 Method for automatically detecting and classifying textile flaws based on pattern recognition and image processing
CN103604809A (en) * 2013-10-22 2014-02-26 江南大学 Pattern cloth flaw online visual inspection method
CN103741443A (en) * 2013-12-24 2014-04-23 刘瑜 Online detection system and online detection method for pattern distance
CN103924432A (en) * 2014-04-28 2014-07-16 辽宁大学 Woven fabric weft skewing detection method
CN104535584A (en) * 2014-12-30 2015-04-22 天津市日津科技有限公司 Vision detection method
CN105865378A (en) * 2016-03-30 2016-08-17 苏州精创光学仪器有限公司 Flatness detection method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001099785A (en) * 1999-09-30 2001-04-13 Tsudakoma Corp Method and device for automatic inspection
CN1523352A (en) * 2003-09-12 2004-08-25 东华大学 Fabric planeness gradation objective evaluation method
CN102279191A (en) * 2010-06-13 2011-12-14 中钞特种防伪科技有限公司 Detection method and apparatus for defects in periodic texture images
CN102879401A (en) * 2012-09-07 2013-01-16 西安工程大学 Method for automatically detecting and classifying textile flaws based on pattern recognition and image processing
CN103604809A (en) * 2013-10-22 2014-02-26 江南大学 Pattern cloth flaw online visual inspection method
CN103741443A (en) * 2013-12-24 2014-04-23 刘瑜 Online detection system and online detection method for pattern distance
CN103924432A (en) * 2014-04-28 2014-07-16 辽宁大学 Woven fabric weft skewing detection method
CN104535584A (en) * 2014-12-30 2015-04-22 天津市日津科技有限公司 Vision detection method
CN105865378A (en) * 2016-03-30 2016-08-17 苏州精创光学仪器有限公司 Flatness detection method

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018195797A1 (en) * 2017-04-26 2018-11-01 深圳配天智能技术研究院有限公司 Visual detection method, detection device, and robot
CN110476056A (en) * 2017-04-26 2019-11-19 深圳配天智能技术研究院有限公司 A kind of visible detection method, detection device and robot
CN110476056B (en) * 2017-04-26 2022-02-18 深圳配天智能技术研究院有限公司 Visual detection method, detection equipment and robot
CN107203996A (en) * 2017-06-21 2017-09-26 江南大学 Woven fabric cycle of images method for automatic measurement
CN108180845A (en) * 2018-01-12 2018-06-19 珠海运控瑞奇数控科技有限公司 A kind of cloth testing agency of brassiere back buckle sewing machine and detection method
CN109463969A (en) * 2018-09-10 2019-03-15 深圳蓝胖子机器人有限公司 Recognition methods, robot and the computer storage medium of express delivery cabinet and its quick despatch
CN111024005A (en) * 2019-12-31 2020-04-17 芜湖哈特机器人产业技术研究院有限公司 Furniture spraying quality detection method based on vision

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