CN105741250A - Quadratic interpolation based image correction method for automatic cloth inspecting machine with non-uniform cloth travel speed - Google Patents
Quadratic interpolation based image correction method for automatic cloth inspecting machine with non-uniform cloth travel speed Download PDFInfo
- Publication number
- CN105741250A CN105741250A CN201610080423.8A CN201610080423A CN105741250A CN 105741250 A CN105741250 A CN 105741250A CN 201610080423 A CN201610080423 A CN 201610080423A CN 105741250 A CN105741250 A CN 105741250A
- Authority
- CN
- China
- Prior art keywords
- image
- line
- cloth
- speed
- scanning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000004744 fabric Substances 0.000 title claims abstract description 131
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000003702 image correction Methods 0.000 title claims abstract description 28
- 238000005070 sampling Methods 0.000 claims abstract description 34
- 239000004753 textile Substances 0.000 claims description 50
- 230000001788 irregular Effects 0.000 claims description 35
- 238000012360 testing method Methods 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 5
- 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
- 238000001514 detection method Methods 0.000 description 7
- 238000007689 inspection Methods 0.000 description 4
- 239000000729 antidote Substances 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 230000007115 recruitment Effects 0.000 description 1
Classifications
-
- G06T5/80—
-
- 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
-
- 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
-
- 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
Abstract
The invention relates to a quadratic interpolation based correction method for an automatic cloth inspecting machine with a non-uniform cloth travel speed. The method is used for correcting image distortion caused by the non-uniform cloth travel speed of the automatic cloth inspecting machine. The method comprises the steps of dividing row sampling lines at equal intervals in a warp direction on a fabric plane corresponding to an image according to the cloth travel speed set by a system as row sampling lines for image correction; and according to a spatial relationship between a corrected sampling point on the fabric plane and an original sampling point, obtaining a gray value of each pixel on the corrected image by adopting a quadratic interpolation method. The method is low in required calculation load and low in memory consumption, can be applied to real-time processing, and is used for subsequent defect identification and processing 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 quadratic interpolattion, 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 quadratic interpolattion 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 quadratic interpolattion 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:
The spacing of correcting image row sampling line in textile plane is calculated by the product walking cloth speed and sweep interval set.
D) divide the row sampling line of correcting image in textile plane by described spacing, in calculating correcting image, each row is at textile plane
Interior sampling location x'm:
x'm=md
Wherein, m is the line number in correcting image；
E) in textile plane, find out the sampled point P'(m with correcting image, n) through three upwards closest scanograms sampled point P (il, j), P (il+1, j) and P (il+2, 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 three upwards closest sampled points.P'(m, n), (il, j), (il+1, j) (il+2 j) samples on line at same row, j=n herein P P with P；With P'(m in textile plane, n), P (il, j), (il+1, j) with P (il+2 for P, j) the color gray scale of the line segment at place is continuous distribution, and the intensity profile g of this line segment is the function of its abscissa value x, is designated as g (x)；
F) by above step, known P (il, j), P (il+1, j) and P (il+2, abscissa value j) and gray value, and P'(m, n) abscissa value, obtains the sampled point P'(m of described correcting image by quadratic interpolattion, 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 quadratic interpolation of three sampled points 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion as above walks the image correction method that cloth speed is irregular, f1/f2=1～10000.
Beneficial effect
The automatic cloth inspecting machine based on quadratic interpolattion of the present invention walks the image correction method that cloth speed is irregular, required Computing load is low, memory consumption is little, it is possible to corrects automatic cloth inspecting machine in real time and walks 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 quadratic interpolattion 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, OK
Corresponding with the broadwise of fabric, arrange corresponding with the warp-wise walking cloth direction and fabric；While online scanning, tachogenerator
2 Timing measurements walk cloth speed, and its frequency is f2, the speed recorded is lined up sequence v (t) successively, wherein t is adopting of testing the speed
Sample time sequence number t=0,1,2 ..., 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) through three upwards closest scanograms sampled point P (il, j), P (il+1, j) and P (il+2, j).P'(m, n) represents pixel in correcting image (m, n) sampled point on textile plane,(i j) represents that (i, j) sampled point on textile plane, il is the minimum line number value through three upwards closest sampled points to pixel in scanogram to P.P'(m, n), (il, j), (il+1, j) (il+2 j) samples on line at same row, j=n herein P P with P；With P'(m in textile plane, n), P (il, j), (il+1, j) with P (il+2 for P, j) the color gray scale of the line segment at place is continuous distribution, and the intensity profile g of this line segment is the function of its abscissa value x, is designated as g (x)；
F) by above step, known P (il, j), P (il+1, j) and P (il+2, abscissa value j) and gray value, and P'(m, n) abscissa value, obtains the sampled point P'(m of described correcting image by quadratic interpolattion, 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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.
Automatic cloth inspecting machine based on quadratic interpolattion as above walks the image correction method that cloth speed is irregular, and it is 0.01～1000 m/min that described cloth cover walks cloth speed v.
Automatic cloth inspecting machine based on quadratic interpolattion as above walks the image correction method that cloth speed is irregular, f1/f2=1～10000.
Claims (7)
1. walking, based on the automatic cloth inspecting machine of quadratic interpolattion, 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, find out the sampled point P'(m with correcting image, n) through three upwards closest scanograms sampled point P (il, j), P (il+1, j) and P (il+2, j)；P'(m, n) represents pixel in correcting image (m, n) sampled point on textile plane,(i j) represents that (i, j) sampled point on textile plane, il is the minimum line number value through three upwards closest sampled points to pixel in scanogram to P；P'(m, n), (il, j), (il+1, j) (il+2 j) samples on line at same row, j=n herein P P with P；With P'(m in textile plane, n), P (il, j), (il+1, j) with P (il+2 for P, j) the color gray scale of the line segment at place is continuous distribution, and the intensity profile g of this line segment is the function of its abscissa value x, is designated as g (x)；
F) by above step, known P (il, j), P (il+1, j) and P (il+2, abscissa value j) and gray value, and P'(m, n) abscissa value, obtains the sampled point P'(m of described correcting image by quadratic interpolattion, 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion 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 quadratic interpolattion according to claim 1 walks the image correction method that cloth speed is irregular, it is characterised in that f1/f2=1～10000.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610080423.8A CN105741250B (en) | 2016-02-04 | 2016-02-04 | The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610080423.8A CN105741250B (en) | 2016-02-04 | 2016-02-04 | The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105741250A true CN105741250A (en) | 2016-07-06 |
| CN105741250B CN105741250B (en) | 2018-10-23 |
Family
ID=56245013
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610080423.8A Active CN105741250B (en) | 2016-02-04 | 2016-02-04 | The irregular image correction method of automatic cloth inspecting machine walk cloth speed based on quadratic interpolattion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105741250B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110658214A (en) * | 2018-06-28 | 2020-01-07 | 株式会社丰田自动织机 | Weaving defect inspection method and weaving defect inspection device for weaving machine |
| CN112215192A (en) * | 2020-10-22 | 2021-01-12 | 常州大学 | Test paper and method for quickly inputting test paper score based on machine vision technology |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090175530A1 (en) * | 2007-11-12 | 2009-07-09 | Fredrik Sjostrom | Methods and apparatuses for detecting pattern errors |
| 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 |
-
2016
- 2016-02-04 CN CN201610080423.8A patent/CN105741250B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090175530A1 (en) * | 2007-11-12 | 2009-07-09 | Fredrik Sjostrom | Methods and apparatuses for detecting pattern errors |
| 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 |
Non-Patent Citations (2)
| Title |
|---|
| 俞东宝等: "一种新型机器视觉系统及其图像矫正算法探索", 《激光与红外》 * |
| 陈德裕等: "一种自动验布机系统的设计与实现", 《制造业自动化》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110658214A (en) * | 2018-06-28 | 2020-01-07 | 株式会社丰田自动织机 | Weaving defect inspection method and weaving defect inspection device for weaving machine |
| CN112215192A (en) * | 2020-10-22 | 2021-01-12 | 常州大学 | Test paper and method for quickly inputting test paper score based on machine vision technology |
| CN112215192B (en) * | 2020-10-22 | 2024-01-23 | 常州大学 | Method for quickly inputting test paper score based on machine vision technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105741250B (en) | 2018-10-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109879005A (en) | Device for detecting belt tearing and method | |
| CN104268505A (en) | Automatic cloth defect point detection and recognition device and method based on machine vision | |
| CN106248686A (en) | Glass surface defects based on machine vision detection device and method | |
| CN105654121A (en) | Complex jacquard fabric defect detection method based on deep learning | |
| CN113838038B (en) | Carbon fiber cloth cover defect detection method and device, electronic equipment and storage medium | |
| CN104715477A (en) | Image analysis method based on multi-scale and multi-zone woven fabric knitting tightness | |
| CN107895363A (en) | Textile flaw detection method based on template characteristic | |
| CN105741250A (en) | Quadratic interpolation based image correction method for automatic cloth inspecting machine with non-uniform cloth travel speed | |
| CN105184777A (en) | Painted design fabric defect detection method based on image decomposition | |
| CN105717133A (en) | Automatic cloth inspecting machine capable of correcting images based on linear interpolation method | |
| CN101651845A (en) | Method for testing definition of moving images of display devices | |
| CN207866722U (en) | Mobile Automatic Detection of Fabric Defects system | |
| CN106296689A (en) | Flaw detection method, system and device | |
| CN115131353A (en) | Flat screen printing textile production abnormity identification and positioning method and system | |
| CN107948464A (en) | A kind of geometric correction method and system of the laterally offset of printed matter detection image | |
| CN105741301A (en) | Image correction method for uneven cloth traveling speed of automatic cloth inspecting machine based on Lagrange's interpolation method | |
| CN105761221A (en) | Image correction method for non-uniform cloth feeding speed of automatic cloth inspecting machine based on natural spline interpolation method | |
| CN207283689U (en) | A kind of dead pixels of image sensor surveys means for correcting | |
| CN105761222A (en) | Image correction method for non-uniform cloth feeding speed of automatic cloth inspecting machine based on Newton interpolation method | |
| CN105761220A (en) | Image correction method for non-uniform cloth feeding speed of automatic cloth inspecting machine based on linear interpolation method | |
| CN111028250A (en) | Real-time intelligent cloth inspecting method and system | |
| Han et al. | Identification and measurement of convolutions in cotton fiber using image analysis | |
| CN105606624B (en) | A kind of automatic cloth inspecting machine | |
| CN105631808B (en) | A kind of method of pattern distortion caused by cloth cover shake in correction automatic cloth inspecting machine | |
| Neumann et al. | In-process fault detection for textile fabric production: onloom imaging |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |