CN105741250B - The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion - Google Patents
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion Download PDFInfo
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- 239000004744 fabric Substances 0.000 title claims abstract description 119
- 230000001788 irregular Effects 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000003702 image correction Methods 0.000 title claims description 16
- 239000004753 textile Substances 0.000 claims abstract description 46
- 238000005070 sampling Methods 0.000 claims abstract description 34
- 238000012360 testing method Methods 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 11
- 239000011159 matrix material Substances 0.000 claims description 4
- 208000028804 PERCHING syndrome Diseases 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 5
- 238000012545 processing Methods 0.000 abstract description 5
- 239000000729 antidote Substances 0.000 abstract description 2
- 229940075522 antidotes Drugs 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 238000012937 correction Methods 0.000 description 2
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- 238000005516 engineering process Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0006—Industrial image inspection using a design-rule based approach
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- 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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- 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
- G06T2207/30108—Industrial image inspection
- G06T2207/30132—Masonry; Concrete
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Abstract
The present invention relates to the irregular antidotes of the automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion, for correct automatic cloth inspecting machine due to walking speed it is irregular caused by pattern distortion, row sampling line is equidistantly divided according to the walk cloth speed of the default again textile plane upper edge warp-wise corresponding to image, row sampling line as correcting image, according to the spatial relationship corrected on textile plane between sampled point and former sampled point, using quadratic interpolattion, the gray value of each pixel on correcting image is obtained.Computational load needed for method is low, and memory consumption is small, can be applied to handle in real time, for the subsequent defects identification of automatic cloth inspecting machine and processing.
Description
Technical field
The invention belongs to automatic cloth inspection technical fields, are related to a kind of irregular correction for causing pattern distortion of automatic cloth inspecting machine walk cloth
Method, more particularly to the irregular image correction method of the automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion, correction is automatic
Pattern distortion caused by cloth inspecting machine walk cloth is irregular.
Background technology
Currently, about the detection of fabric defects completed by traditional manual detection mode mostly, by testing staff's
The limitation of subjective factor and some objective factors, this mode testing result fluctuation is big, and omission factor and false drop rate are high, Er Qiejian
Survey inefficiency.Continuous with recruitment cost is risen, and the demand of automatic cloth inspection equipment is growing.When the ratio row of foreign countries
The companies such as BARCO companies, Switzerland Uster are proposed commercialized automatic cloth inspecting machine, but because of expensive and varietal adaptation
Problem, application at home are smaller.The country this field progress for many years, but ripe commercially produced product there is no to occur.
Automatic cloth inspection equipment is typically based on machine vision technique, is adopted by fabric transmission system, light source and imaging system, image
Collection processing and the compositions such as Transmission system and man-machine interactive system.Its main operation principle is to acquire fabric surface by camera
Image finally identifies fabric defects then by image processing algorithm.In order to detect entire volume fabric, fabric is driven by fabric
System is with a certain uniform walk cloth speed transmission, by camera scanning position so that camera continuously acquires image.Cooperation
This walk cloth speed, camera needs to set a certain corresponding scan frequency before acquiring image, to get normal textile image.
It immobilizes after usual camera scanning set of frequency, but the irregular situation of walk cloth speed happens occasionally.For example,
When beginning is examined in package, walk cloth starts and accelerates；When test ending is wrapped, walk cloth is decelerated to shutdown；Or when selvage guide system goes out
When existing disturbance factor, walk cloth speed is it can also happen that irregular.Walk cloth speed is irregular and camera scanning frequency is fixed, and causes in cloth
Variation occurred at intervals in the warp-wise of image scanning position on face；The big part of sampling interval shows as other opposite portions on the image
Divide and shorten along warp-wise, and specific elongation is shown as using closely spaced part on the image.
The flexible distortion of fabric surface image not only changes the normal texture form of fabric, while also changing the outer of fault
Shape feature causes difficulty, to increase false drop rate and omission factor to the identification and classification of fault.In order to improve subsequent defect
Point detection result causes the corresponding image flame detection of pattern distortion progress very necessary for automatic cloth inspecting machine walk cloth speed is irregular.
Since the amount of image information of automatic cloth inspecting machine acquisition is huge, image processing load is heavy, and memory consumption is big, in order to accomplish to locate in real time
The features such as reason, image correction method need to have computational load low, and speed is fast and memory consumption is small.
Invention content
It causes technical problem to be solved by the invention is to provide a kind of automatic straightening automatic cloth inspecting machine walk cloth speed is irregular
The method of pattern distortion in particular, provides the irregular image flame detection side of the automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion
Method, the present invention overcomes the pattern distortions caused by walk cloth speed is irregular, improve the detection performance of automatic cloth inspecting machine.The present invention
Antidote combination velocity measuring technique image is corrected on software accordingly by the speed of real-time detection walk cloth.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion of the invention, in perching
When, the scanning of camera line obtains textile image and is converted into gray level image, is as follows：
(1) line scanning obtains fabric scan image, and every scan line obtains a line in image, the broadwise phase of row and fabric
Corresponding, row are corresponding with walk cloth direction, that is, warp-wise of fabric；While online scanning, Timing measurement walk cloth speed, frequency is
f2, the speed measured is lined up into sequence v (t) successively, wherein t is the sampling time serial number t=0,1,2 ..., T to test the speed；
(2) if current walk cloth speed v is more than or less than the walk cloth speed v of settingsetWhen, it is corrected：
A) spacing l of the adjacent rows on textile plane in scan image is calculatedk→k+1：
lk→k+1=0.5 × (v (tnb)+v(tnb+1))/f1；
Wherein, in subscript k and k+1 be scan image in adjacent rows line number；tnbAnd tnB+1 is to acquire to obtain with camera
The time serial number of row k and the sampling of testing the speed mutually closed at the time of k+1, tnb∈ t, tnb+1∈t；f1For the scan frequency of line scanning；
Setting image scanning starts simultaneously with sampling of testing the speed, then first picture line (k=0) is tested the speed with first adopts
Sampling point (t=0) generates simultaneously, respectively k/f at the time of other scan lines and the sampled point that tests the speed generate1And t/f2.Pass through production
The front and back comparison at raw moment, finds the adjacent speed sampling point t of scan linenbWith tnb+1。
In scan image spacing of the two adjacent rows on cloth cover by scan the moment walk cloth speed and sweep interval
Product calculate, the walk cloth speed for scanning the moment estimated by the mean value of two adjacent speed sampling values.
B) sampling location of each row in textile plane in scan image is calculated；According to the order of line number, calculated by upper step
Spacing l of each adjacent rows of gained on textile planei, sample bits of each row in textile plane in scan image are calculated successively
Set xi；Specially：Using fabric warp-wise as abscissa, using grain cross as ordinate, the position where the first row is abscissa
Origin then has：
Wherein, i is the line number in scan image；
Since cloth cover walk cloth speed is irregular, the sampling location of each row is parallelly sequentially distributed in textile plane in scan image
Interior warp is upward.Pass through the spacing l that adds upk→k+1To get sampling location of each row in textile plane.
C) the spacing d of row sampling line of the correcting image in textile plane is calculated：
D=vset/f1；
The walk cloth speed and sweep interval that the spacing of row sampling line of the correcting image in textile plane passes through setting
Product calculate.
D) the row sampling line that the spacing divides correcting image in textile plane is pressed, each row in correcting image is calculated and is knitting
Sampling location x&apos in object plane;m：
x'm=md；
Wherein, m is the line number in correcting image；
E) in textile plane, the sampled point P&apos with correcting image is found out;(m, n) is through three closest upwards scannings
The sampled point P (il, j) of image, P (il+1, j) and P (il+2, j).P'(m, n) indicates that pixel (m, n) is being knitted in correcting image
Sampled point on object plane, P (i, j) indicate sampled point of the pixel (i, j) on textile plane in scan image, and il is warp-wise
The minimum line number value of upper three closest sampled points.P'(m, n), P (il, j), P (il+1, j) and P (il+2, j) are in same
Row sample on line, herein j=n；With P&apos in textile plane;Where (m, n), P (il, j), P (il+1, j) and P (il+2, j)
The color gray scale of line segment is continuously distributed, and the intensity profile g of this line segment is the function of its abscissa value x, is denoted as g (x)；
F) by above step, it is known that P (il, j), the abscissa value and gray value of P (il+1, j) and P (il+2, j), and
P'The abscissa value of (m, n) obtains the sampled point P&apos of the correcting image by quadratic interpolattion;The gray value g of (m, n)
(x'm)；
It is upward in the warp of textile plane, the row sampling line of correcting image, the row sample bits of correcting image are divided using spacing d
Set identical as scan image, the gray value of each pixel of correcting image passes through three samplings through upward most adjacent scan image
The quadratic interpolation of point obtains.
G) step e) and f) is repeated, 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, i.e.,
Obtain correcting image.
As preferred technical solution：
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, the line
Scanning obtains textile image and is handled by frame.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, the line
Scanning is scanned using camera line.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, it is described walk
Cloth speed v is 0.01~1000 m/min.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, f1/f2=
1~10000.
Advantageous effect
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion of the invention, required calculating
Machine computational load is low, and memory consumption is small, can correct in real time automatic cloth inspecting machine walk cloth speed it is irregular caused by pattern distortion, with
For the subsequent defects identification of automatic cloth inspecting machine and processing.
Description of the drawings
Fig. 1 is that automatic cloth inspecting machine image line scans and the schematic diagram that tests the speed.
Fig. 2 is the scanning of textile plane epigraph, the sampling dot matrix schematic diagram to test the speed with image flame detection.
Wherein, 1 is line scan camera, and 2 be tachogenerator, and x is fabric warp-wise, and y is grain cross, and z is flat with fabric
Face vertical direction.● it is textile image sampled point, * is correcting image sampled point, × it is the sampled point that tests the speed.
Specific implementation mode
The invention will be further elucidated with reference to specific embodiments.It should be understood that these embodiments are merely to illustrate this hair
It is bright rather than limit the scope of the invention.In addition, it should also be understood that, after reading the content taught by the present invention, art technology
Personnel can make various changes or modifications the present invention, and such equivalent forms equally fall within the application the appended claims and limited
Fixed range.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion of the invention, in perching
When, the scanning of camera line obtains textile image and is converted into gray level image, is as follows：
(1) as shown in Figure 1, line scan camera 1, which scans fabric, obtains image, every scan line obtains a line in image,
Row is corresponding with the broadwise of fabric, and row are corresponding with walk cloth direction, that is, warp-wise of fabric；While online scanning, tachogenerator
2 Timing measurement walk cloth speed, frequency f2, the speed measured is lined up into sequence v (t) successively, when wherein t is the sampling tested the speed
Between serial number t=0,1,2 ..., T；
(2) if current walk cloth speed v is more than or less than the walk cloth speed v of settingsetWhen, it is corrected：
A) spacing l of the adjacent rows on textile plane in scan image is calculatedk→k+1：
lk→k+1=0.5 × (v (tnb)+v(tnb+1))/f1；
Wherein, in subscript k and k+1 be scan image in adjacent rows line number；tnbAnd tnb+1It is obtained to be acquired with camera
The time serial number of row k and the sampling of testing the speed mutually closed at the time of k+1, tnb∈ t, tnb+1∈t；f1For the scan frequency of line scanning；
B) sampling location of each row in textile plane in scan image is calculated；According to the order of line number, calculated by upper step
Spacing l of each adjacent rows of gained on textile planei, sample bits of each row in textile plane in scan image are calculated successively
Set xi；It is (see Fig. 1) specifically：Using fabric warp-wise as abscissa x, using grain cross as ordinate y, with the side of vertical textile plane
To for coordinate z, the position where the first row is the origin of abscissa, then has：
Wherein, i is the line number in scan image；
C) the spacing d of row sampling line of the correcting image in textile plane is calculated：
D=vset/f1；
D) the row sampling line that the spacing divides correcting image in textile plane is pressed, as shown in Figure 2, wherein ● to knit
Object image sampled point, * are correcting image sampled point, × it is the sampled point that tests the speed.Each row is in textile plane in calculating correcting image
Sampling location x'm：
x'm=md；
Wherein, m is the line number in correcting image；
E) as shown in Fig. 2, in textile plane, the sampled point P&apos with correcting image is found out;(m, n) is through closest upwards
Three scan images sampled point P (il, j), P (il+1, j) and P (il+2, j).P'(m, n) indicates pixel in correcting image
Sampled point of the point (m, n) on textile plane, P (i, j) indicate sampling of the pixel (i, j) on textile plane in scan image
Point, il are the minimum line number value through upward three closest sampled points.P'(m, n), P (il, j), P (il+1, j) and P (il+
2, j) it is arranged on sampling line in same, herein j=n；With P&apos in textile plane;(m, n), P (il, j), P (il+1, j) and P (il
+ 2, j) where the color gray scale of line segment be continuously distributed, the intensity profile g of this line segment is the function of its abscissa value x, is denoted as
g(x)；
F) by above step, it is known that P (il, j), the abscissa value and gray value of P (il+1, j) and P (il+2, j), and
P'The abscissa value of (m, n) obtains the sampled point P&apos of the correcting image by quadratic interpolattion;The gray value g of (m, n)
(x'm)；
G) step e) and f) is repeated, 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, i.e.,
Obtain correcting image.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, the line
Scanning obtains textile image and is handled by frame.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, the line
Scanning is scanned using camera line.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, the cloth
Face walk cloth speed v is 0.01~1000 m/min.
The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion as described above, f1/f2=
1~10000.
Claims (5)
1. the irregular image correction method of the automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion, in perching, camera line is swept
It retouches and obtains textile image and be converted into gray level image, it is characterized in that being as follows：
(1) line scanning obtains textile image, and every scan line obtains a line in image, and row is corresponding with the broadwise of fabric, row
It is corresponding with walk cloth direction, that is, warp-wise of fabric；While online scanning, Timing measurement walk cloth speed, frequency f2, will survey
The speed obtained lines up sequence v (t) successively, and wherein t is the sampling time serial number t=0,1,2 ..., T to test the speed；
(2) if current walk cloth speed v is more than or less than the walk cloth speed v of settingsetWhen, it is corrected：
A) spacing l of the adjacent rows on textile plane in scan image is calculatedk→k+1：
lk→k+1=0.5 × (v (tnb)+v(tnb+1))/f1；
Wherein, in subscript k and k+1 be scan image in adjacent rows line number；tnbAnd tnb+1For with camera acquire obtain row k and
The time serial number of the sampling of testing the speed mutually closed at the time of k+1, tnb∈ t, tnb+1∈t；f1For the scan frequency of line scanning；
B) sampling location of each row in textile plane in scan image is calculated；According to the order of line number, gained is calculated by upper step
Spacing l of each adjacent rows on textile planei, sampling location x of each row in textile plane in scan image is calculated successivelyi；
Specially：Using fabric warp-wise as abscissa, using grain cross as ordinate, the position where the first row is the origin of abscissa,
Then have：
Wherein, i is the line number in scan image；
C) the spacing d of row sampling line of the correcting image in textile plane is calculated：
D=vset/f1；
D) the row sampling line that the spacing divides correcting image in textile plane is pressed, it is flat in fabric to calculate each row in correcting image
Sampling location x&apos in face;m：
x'm=md；
Wherein, m is the line number in correcting image；
E) in textile plane, the sampled point P&apos with correcting image is found out;(m, n) is through three closest upwards scan images
Sampled point P (il, j), P (il+1, j) and P (il+2, j)；P'(m, n) indicates that pixel (m, n) is flat in fabric in correcting image
Sampled point on face, P (i, j) indicate that sampled point of the pixel (i, j) on textile plane in scan image, il are that warp is upward most
The minimum line number value of three neighbouring sampled points；P'(m, n), P (il, j), P (il+1, j) and P (il+2, j) are adopted in same row
On line-transect, j=n herein；With P&apos in textile plane;Line segment where (m, n), P (il, j), P (il+1, j) and P (il+2, j)
Color gray scale be continuously distributed, the intensity profile g of this line segment is the function of its abscissa value x, is denoted as g (x)；
F) by above step, it is known that the abscissa value and gray value and P&apos of P (il, j), P (il+1, j) and P (il+2, j);(m,
N) abscissa value obtains the sampled point P&apos of the correcting image by quadratic interpolattion;Gray value g (the x&apos of (m, n);m)；
G) step e) and f) is repeated, 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 to get rectifying
Positive image.
2. the irregular image flame detection side of the automatic cloth inspecting machine walk cloth speed according to claim 1 based on quadratic interpolattion
Method, which is characterized in that the line scanning obtains textile image and handled by frame.
3. the irregular image flame detection side of the automatic cloth inspecting machine walk cloth speed according to claim 1 based on quadratic interpolattion
Method, which is characterized in that the line scanning is scanned using camera line.
4. the irregular image flame detection side of the automatic cloth inspecting machine walk cloth speed according to claim 1 based on quadratic interpolattion
Method, which is characterized in that the walk cloth speed v is 0.01~1000 m/min.
5. the irregular image flame detection side of the automatic cloth inspecting machine walk cloth speed according to claim 1 based on quadratic interpolattion
Method, which is characterized in that f1/f2=1~10000.
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|---|---|---|---|---|
| CN104198498A (en) * | 2014-09-12 | 2014-12-10 | 河海大学常州校区 | Method and device for detecting cloth flaws based on adaptive orthogonal wavelet transform |
| CN104408709A (en) * | 2014-10-30 | 2015-03-11 | 东华大学 | Rapid correction method of image with non-uniform gray scale of linear-array CCD camera |
| CN104766327A (en) * | 2015-04-15 | 2015-07-08 | 华侨大学 | Fabric deviation detection method and system based on image |
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| US20090175530A1 (en) * | 2007-11-12 | 2009-07-09 | Fredrik Sjostrom | Methods and apparatuses for detecting pattern errors |
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| CN104198498A (en) * | 2014-09-12 | 2014-12-10 | 河海大学常州校区 | Method and device for detecting cloth flaws based on adaptive orthogonal wavelet transform |
| CN104408709A (en) * | 2014-10-30 | 2015-03-11 | 东华大学 | Rapid correction method of image with non-uniform gray scale of linear-array CCD camera |
| CN104766327A (en) * | 2015-04-15 | 2015-07-08 | 华侨大学 | Fabric deviation detection method and system based on image |
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