CN105741301A - Image correction method for uneven cloth traveling speed of automatic cloth inspecting machine based on Lagrange's interpolation method - Google Patents
Image correction method for uneven cloth traveling speed of automatic cloth inspecting machine based on Lagrange's interpolation method Download PDFInfo
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N2021/8909—Scan signal processing specially adapted for inspection of running sheets
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract
The invention relates to an image correction method for the uneven cloth traveling speed of an automatic cloth inspecting machine based on the Lagrange's interpolation method, used for correcting image distortion caused by the uneven cloth traveling speed of the automatic cloth inspecting machine. Row sampling lines are marked out again along the warp direction at equal intervals on a fabric plane corresponding to the image according to the cloth traveling speed set by the system to serve as the row sampling lines of a corrected image. According to the spatial relationship between a corrected sampling point and an original sampling point on the fabric plane, the gray value of each pixel on the corrected image can be obtained by using the Lagrange's interpolation method. The method is low in required computing load, small in memory consumption, and can be applied to real-time processing for subsequent defect recognition and treatment of the automatic cloth inspecting machine.
Description
Technical field
The invention belongs to automatic cloth inspection technical field, relate to a kind of automatic cloth inspecting machine and walk the irregular antidote causing pattern distortion of cloth, particularly relate to walk the image correction method that cloth speed is irregular based on the automatic cloth inspecting machine of Lagrange's interpolation, correct automatic cloth inspecting machine and walk the irregular pattern distortion caused of cloth.
Background technology
Currently, the detection about fabric defects is completed by traditional manual detection mode mostly, is subject to the subjective factors of testing staff and the restriction of some objective factors, and this mode testing result undulatory property is big, and loss and false drop rate are high, and detection efficiency is low.Along with constantly riseing of recruitment cost, the demand of automatic cloth inspection equipment is growing.The companies such as external ratio Lie Shi BARCO company, Switzerland Uster are proposed business-like automatic cloth inspecting machine, but because of expensive and varietal adaptation problem, application at home is less.The domestic progress in this field for many years, but there is no the commercially produced product appearance of maturation.
Automatic cloth inspection equipment is typically based on machine vision technique, by fabric drive system, light source and imaging system, image acquisition and processing and transmission system, and the composition such as man-machine interactive system.Its main operation principle is by collected by camera fabric face image, then passes through image processing algorithm, finally identifies fabric defects.In order to detect entire volume fabric, fabric is walked cloth speed transmission by fabric drive system uniformly with a certain, through camera scanning position so that camera continuously gathers image.Coordinating this to walk cloth speed, camera needs to set a certain corresponding rate of scanning before gathering image, to get normal textile image.
Immobilize after usual camera scanning frequency configuration, but the situation walking cloth speed irregular happens occasionally.Such as, when package inspection starts, walk cloth and start and accelerate；During package test ending, walk cloth and be decelerated to shutdown；Or when disturbance factor occurs in selvage guide system, walk cloth speed it can also happen that irregular.Walk that cloth speed is irregular and camera scanning frequency is fixed, cause the warp-wise interval of the image scanning position on cloth cover to change；The part that sampling interval is big shows as other parts relatively on image and shortens along warp-wise, and adopts closely spaced part to show as specific elongation on image.
The flexible distortion of fabric face image not only changes the normal texture form of fabric, have also been changed the resemblance of fault simultaneously, causes difficulty to the identification of fault and classification, thus adding false drop rate and loss.In order to improve follow-up defect detection effect, walking cloth speed for automatic cloth inspecting machine, irregular to cause pattern distortion to carry out corresponding image flame detection very necessary.The features such as the amount of image information gathered due to automatic cloth inspecting machine is huge, and image processing load is heavy, and memory consumption is big, and in order to accomplish real-time process, it is low that image correction method need to have computational load, and speed is fast and memory consumption is little.
Summary of the invention
The technical problem to be solved is to provide a kind of automatic straightening automatic cloth inspecting machine and walks the irregular method causing pattern distortion of cloth speed, in particular, provide the automatic cloth inspecting machine based on Lagrange's interpolation and walk the image correction method that cloth speed is irregular, instant invention overcomes owing to walking the irregular pattern distortion caused of cloth speed, improve the detection performance of automatic cloth inspecting machine.The antidote of the present invention, in conjunction with velocity measuring technique, is walked the speed of cloth, on software, image is corrected accordingly by real-time detection.
The automatic cloth inspecting machine based on Lagrange's interpolation of the present invention walks the image correction method that cloth speed is irregular, and when perching, the scanning of camera line obtains textile image and is converted into gray level image, specifically comprises the following steps that
(1) line scanning obtains fabric scanogram, and every scanning line obtains a line in image, and row is corresponding with the broadwise of fabric, arranges corresponding with the warp-wise walking cloth direction and fabric；While online scanning, Timing measurement walks cloth speed, and its frequency is f2, the speed recorded is lined up sequence v (t) successively, wherein t is the sampling time sequence number t=0 tested the speed, 1,2 ..., T；
(2) if currently walking cloth speed v and walking cloth speed v more than or less than what setsetTime, correct:
A) adjacent rows spacing l on textile plane in scanogram is calculatedk→k+1:
lk→k+1=0.5 × (v (tnb)+v(tnb+1))/f1；
Wherein, in subscript, k and k+1 is the line number of adjacent rows in scanogram；tnbAnd tnbThe time sequence number of the sampling of testing the speed that+1 moment for obtaining row k and k+1 with collected by camera closed on mutually, tnb∈ t, tnb+1∈t；f1Rate of scanning for line scanning；
Set image scanning and sampling of testing the speed starts simultaneously, then first picture line (k=0) produces with first sampled point that tests the speed (t=0) simultaneously, the moment respectively k/f that other scanning line and the sampled point that tests the speed produce1And t/f2.Compare by producing the front and back in moment, find the speed sampling point t that scanning line is adjacentnbWith tnb+1。
Two row adjacent in scanogram spacing on cloth cover is calculated by the product walking cloth speed and sweep interval scanning the moment, and the cloth speed of walking in scanning moment is estimated by the average of two adjacent speed sampling values.
B) each row sampling location in textile plane in scanogram is calculated；According to the order of line number, calculate gained each adjacent lines spacing l on textile plane by upper stepi, calculate each row sampling location x in textile plane in scanogram successivelyi；Particularly as follows: with fabric warp-wise for abscissa, with grain cross for vertical coordinate, the position at the first row place is the initial point of abscissa, then have:
Wherein, i is the line number in scanogram；
Due to cloth cover, to walk cloth speed irregular, in scanogram the sampling location of each row be sequentially distributed abreast in textile plane through upwards.By cumulative spacing lk→k+1, obtain each row sampling location in textile plane.
C) the spacing d of correcting image row sampling line in textile plane is calculated:
D=vset/f1；
The spacing of correcting image row sampling line in textile plane is calculated by the product walking cloth speed and sweep interval set.
D) in textile plane, divide the row sampling line of correcting image by described spacing, calculate each row sampling location x' in textile plane in correcting imagem:
x'm=md
Wherein, m is the line number in correcting image；
E) in textile plane, the sampled point P'(m with correcting image is found out, n) at the sampled point P (il through upwards closest N number of scanogram, j), and P (il+1, j), P (il+2, j) ... P (il+N-1, j).P'(m, n) pixel (m in correcting image is represented, n) sampled point on textile plane, P (i, j) pixel (i in scanogram is represented, j) sampled point on textile plane, il is the minimum line number value through upwards closest N number of sampled point.Owing to above-mentioned sampled point is on same row sampling line, j=n herein；The color gray scale of the line segment being formed by connecting with above-mentioned sampled point in textile plane is continuous distribution, and the intensity profile g of this line segment is the function of abscissa value x, is designated as g (x)；
F) by above step, known P (il, j), P (il+1, j), P (il+2, j) ... P (il+N-1, abscissa value j) and gray value, and P'(m, n) abscissa value, obtains the sampled point P'(m of described correcting image by Lagrange's interpolation, gray value g (x' n)m)；
At textile plane through upwards, spacing d is adopted to divide the row sampling line of correcting image, the row sampling location of correcting image is identical with scanogram, and the gray value of each pixel of correcting image is obtained by the Lagrange's interpolation of the N number of sampled point through upwards the most adjacent scanogram.
G) repeated execution of steps e) and f), until obtaining the gray value of the sampled point of all correcting images；
H) by the gray value of each point on gained correcting image, broadwise is row, and warp-wise is row, is arranged in order, and forms matrix, obtains correcting image.
As preferred technical scheme:
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, and the scanning of described line obtains textile image and presses frame process.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, and the scanning of described line adopts the scanning of camera line.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, the rate of scanning f of described line scanning1It is 1～100000.
The automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, described in the sample frequency f that tests the speed2It is 0.1～1000.
The automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, described in walk cloth speed v be 0.01～1000 m/min.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, f1/f2=1～10000.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, N=3～100.
Beneficial effect
The automatic cloth inspecting machine based on Lagrange's interpolation of the present invention walks the image correction method that cloth speed is irregular, required Computing load is low, memory consumption is little, automatic cloth inspecting machine can be corrected in real time and walk the irregular pattern distortion caused of cloth speed, the defects identification follow-up for automatic cloth inspecting machine and process.
Accompanying drawing explanation
Fig. 1 is the scanning of automatic cloth inspecting machine image line and the schematic diagram that tests the speed.
Fig. 2 is the scanning of textile plane epigraph, tests the speed and the sampling dot matrix schematic diagram of image flame detection.
Wherein, 1 is line scan camera, and 2 is tachogenerator, and x is fabric warp-wise, and y is grain cross, and z is and textile plane vertical direction.● for textile image sampled point, * is correcting image sampled point, × for the sampled point that tests the speed.
Detailed description of the invention
Below in conjunction with detailed description of the invention, 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, the present invention can be made various changes or modifications by those skilled in the art, and these equivalent form of values fall within the application appended claims limited range equally.
The automatic cloth inspecting machine based on Lagrange's interpolation of the present invention walks the image correction method that cloth speed is irregular, and when perching, the scanning of camera line obtains textile image and is converted into gray level image, specifically comprises the following steps that
(1) as it is shown in figure 1, line scan camera 1 scans fabric obtains image, every scanning line obtains a line in image, and row is corresponding with the broadwise of fabric, arranges corresponding with the warp-wise walking cloth direction and fabric；While online scanning, tachogenerator 2 Timing measurement walks cloth speed, and its frequency is f2, the speed recorded is lined up sequence v (t) successively, wherein t is the sampling time sequence number t=0 tested the speed, 1,2 ..., T；
(2) if currently walking cloth speed v and walking cloth speed v more than or less than what setsetTime, correct:
A) adjacent rows spacing l on textile plane in scanogram is calculatedk→k+1:
lk→k+1=0.5 × (v (tnb)+v(tnb+1))/f1；
Wherein, in subscript, k and k+1 is the line number of adjacent rows in scanogram；tnbAnd tnbThe time sequence number of the sampling of testing the speed that+1 moment for obtaining row k and k+1 with collected by camera closed on mutually, tnb∈ t, tnb+1∈t；f1Rate of scanning for line scanning；
B) each row sampling location in textile plane in scanogram is calculated；According to the order of line number, calculate gained each adjacent lines spacing l on textile plane by upper stepi, calculate each row sampling location x in textile plane in scanogram successivelyi；It is specifically: with fabric warp-wise for abscissa x that, with grain cross for vertical coordinate y, with the direction of vertical textile plane for coordinate z, the position at the first row place is the initial point of abscissa, then have (see Fig. 1):
Wherein, i is the line number in scanogram；
C) the spacing d of correcting image row sampling line in textile plane is calculated:
D=vset/f1；
D) in textile plane, the row sampling line of correcting image is divided by described spacing, as in figure 2 it is shown, wherein, ● for textile image sampled point, * is correcting image sampled point, × for the sampled point that tests the speed.Calculate each row sampling location x' in textile plane in correcting imagem:
x'm=md
Wherein, m is the line number in correcting image；
E) as in figure 2 it is shown, in textile plane, find out the sampled point P'(m with correcting image, n) at the sampled point P (il through upwards closest N number of scanogram, j), and P (il+1, j), P (il+2, j) ... P (il+N-1, j).P'(m, n) pixel (m in correcting image is represented, n) sampled point on textile plane, P (i, j) pixel (i in scanogram is represented, j) sampled point on textile plane, il is the minimum line number value through upwards closest N number of sampled point.Owing to above-mentioned sampled point is on same row sampling line, j=n herein；The color gray scale of the line segment being formed by connecting with above-mentioned sampled point in textile plane is continuous distribution, and the intensity profile g of this line segment is the function of abscissa value x, is designated as g (x)；
F) by above step, known P (il, j), P (il+1, j), P (il+2, j) ... P (il+N-1, abscissa value j) and gray value, and P'(m, n) abscissa value, obtains the sampled point P'(m of described correcting image by Lagrange's interpolation, gray value g (x' n)m)；
G) repeated execution of steps e) and f), until obtaining the gray value of the sampled point of all correcting images；
H) by the gray value of each point on gained correcting image, broadwise is row, and warp-wise is row, is arranged in order, and forms matrix, obtains correcting image.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, and the scanning of described line obtains textile image and presses frame process.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, and the scanning of described line adopts the scanning of camera line.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, the rate of scanning f of described line scanning1It is 1～100000.
The automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, described in the sample frequency f that tests the speed2It is 0.1～1000.
The automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, described in walk cloth speed v be 0.01～1000 m/min.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, f1/f2=1～10000.
Automatic cloth inspecting machine based on Lagrange's interpolation as above walks the image correction method that cloth speed is irregular, N=3～100.
Claims (8)
1. walking, based on the automatic cloth inspecting machine of Lagrange's interpolation, the image correction method that cloth speed is irregular, when perching, the scanning of camera line obtains textile image and is converted into gray level image, it is characterized in that specifically comprising the following steps that
(1) line scanning obtains textile image, and every scanning line obtains a line in image, and row is corresponding with the broadwise of fabric, arranges corresponding with the warp-wise walking cloth direction and fabric；While online scanning, Timing measurement walks cloth speed, and its frequency is f2, the speed recorded is lined up sequence v (t) successively, wherein t is the sampling time sequence number t=0 tested the speed, 1,2 ..., T；
(2) if currently walking cloth speed v and walking cloth speed v more than or less than what setsetTime, correct:
A) adjacent rows spacing l on textile plane in scanogram is calculatedk→k+1:
lk→k+1=0.5 × (v (tnb)+v(tnb+1))/f1；
Wherein, in subscript, k and k+1 is the line number of adjacent rows in scanogram；tnbAnd tnbThe time sequence number of the sampling of testing the speed that+1 moment for obtaining row k and k+1 with collected by camera closed on mutually, tnb∈ t, tnb+1∈t；f1Rate of scanning for line scanning；
B) each row sampling location in textile plane in scanogram is calculated；According to the order of line number, calculate gained each adjacent lines spacing l on textile plane by upper stepi, calculate each row sampling location x in textile plane in scanogram successivelyi；Particularly as follows: with fabric warp-wise for abscissa, with grain cross for vertical coordinate, the position at the first row place is the initial point of abscissa, then have:
Wherein, i is the line number in scanogram；
C) the spacing d of correcting image row sampling line in textile plane is calculated:
D=vset/f1；
D) in textile plane, divide the row sampling line of correcting image by described spacing, calculate each row sampling location x' in textile plane in correcting imagem:
x'm=md
Wherein, m is the line number in correcting image；
E) in textile plane, the sampled point P'(m with correcting image is found out, n) at the sampled point P (il through upwards closest N number of scanogram, j), and P (il+1, j), P (il+2, j) ... P (il+N-1, j)；P'(m, n) pixel (m in correcting image is represented, n) sampled point on textile plane, P (i, j) pixel (i in scanogram is represented, j) sampled point on textile plane, il is the minimum line number value through upwards closest N number of sampled point；Owing to above-mentioned sampled point is on same row sampling line, j=n herein；The color gray scale of the line segment being formed by connecting with above-mentioned sampled point in textile plane is continuous distribution, and the intensity profile g of this line segment is the function of abscissa value x, is designated as g (x)；
F) by above step, known P (il, j), P (il+1, j), P (il+2, j) ... P (il+N-1, abscissa value j) and gray value, and P'(m, n) abscissa value, obtains the sampled point P'(m of described correcting image by Lagrange's interpolation, gray value g (x' n)m)；
G) repeated execution of steps e) and f), until obtaining the gray value of the sampled point of all correcting images；
H) by the gray value of each point on gained correcting image, broadwise is row, and warp-wise is row, is arranged in order, and forms matrix, obtains correcting image.
2. the automatic cloth inspecting machine based on Lagrange's interpolation according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that the scanning of described line obtains textile image and presses frame process.
3. the automatic cloth inspecting machine based on Lagrange's interpolation according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that the scanning of described line adopts the scanning of camera line.
4. the automatic cloth inspecting machine based on Lagrange's interpolation according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that the rate of scanning f of described line scanning1It is 1～100000.
5. the automatic cloth inspecting machine based on Lagrange's interpolation according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that described in the sample frequency f that tests the speed2It is 0.1～1000.
6. the automatic cloth inspecting machine based on Lagrange's interpolation according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that described in walk cloth speed v be 0.01～1000 m/min.
7. the automatic cloth inspecting machine based on Lagrange's interpolation according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that f1/f2=1～10000.
8. the automatic cloth inspecting machine based on Lagrange's interpolation according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that N=3～100.
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| CN109345461A (en) * | 2018-09-30 | 2019-02-15 | 中国科学院长春光学精密机械与物理研究所 | A kind of image distortion correction method, apparatus, equipment and storage medium |
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| CN104408709B (en) * | 2014-10-30 | 2017-11-17 | 东华大学 | A kind of irregular quick antidote of linear array CCD camera gradation of image |
| CN104766327B (en) * | 2015-04-15 | 2017-06-09 | 华侨大学 | Fabric bias detecting method and system based on image |
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| CN109345461A (en) * | 2018-09-30 | 2019-02-15 | 中国科学院长春光学精密机械与物理研究所 | A kind of image distortion correction method, apparatus, equipment and storage medium |
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