CN108221339A - A kind of perching machine detecting device of clothes processing - Google Patents
A kind of perching machine detecting device of clothes processing Download PDFInfo
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- CN108221339A CN108221339A CN201810208246.6A CN201810208246A CN108221339A CN 108221339 A CN108221339 A CN 108221339A CN 201810208246 A CN201810208246 A CN 201810208246A CN 108221339 A CN108221339 A CN 108221339A
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- motor
- workbench
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- ccd
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06H—MARKING, INSPECTING, SEAMING OR SEVERING TEXTILE MATERIALS
- D06H3/00—Inspecting textile materials
- D06H3/08—Inspecting textile materials by photo-electric or television means
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Materials Engineering (AREA)
- Textile Engineering (AREA)
- Treatment Of Fiber Materials (AREA)
Abstract
A kind of perching machine detecting device of clothes processing, hardware subsystem, exploitation sheet processor and host are obtained including video image, the video image obtains hardware subsystem and includes motor, ccd sensor, CCD controllers, incremental encoder and frame imaging sensor；Workbench and lamp are additionally provided in the detection device, the motor M1 and motor M2 are arranged side by side in the lower section of workbench, and the both sides of the workbench are provided with trundle, and the upper end of the trundle and the upper surface of workbench are in same level；Using the device machine vision and image processing techniques can be applied to textile defect detection and classification work in, using automatic fabric defects detection system have many advantages, such as Detection accuracy height, it is objective it is reproducible, speed is fast.
Description
Technical field
The present invention relates to clothes to process field, especially a kind of perching machine detecting device of clothes processing.
Background technology
Cloth inspecting machine, which is that apparel industry production is preceding, carries out the especially big breadth such as cotton, hair, fiber crops, silk, chemical fibre, double width and single width cloth
The special equipment of a set of indispensability of detection.Cloth inspecting machine is automatically performed note length and package housekeeping, and defect device is examined with electronics, by
Computer statistics are analyzed, and perching is assisted to operate and is printed out, and are detected the important link as control of product quality, are being weaved
It is occupied an important position in product production process, wherein defect detection is its crucial part.However, the color and style of fabric is various
Change, the fault for making fabric defects type various and new continues to bring out, this all brings difficulty for defect detection, and at present, foreign countries are spun
Knitting the common commercial automatic Cloth Inspecting System of industry has 2 kinds of on-line checking and offline inspection, but its detection function is relatively simple, really suitable
For actual production and by market acceptance and few, thus need to design it is a kind of can detect fault automatically, reduce hand labor
Perching machine detecting device.
The improvement that the present invention is exactly in order to solve problem above and carries out.
Invention content
The object of the present invention is to provide a kind of fabric defects can be detected automatically, with Detection accuracy height, objective repeatability
A kind of good, fireballing perching machine detecting device of clothes processing.
The present invention is that technical solution is used by solving its technical problem：
A kind of perching machine detecting device of clothes processing obtains hardware subsystem, development board including video image
Processor and host, the video image obtain hardware subsystem and include motor, ccd sensor, CCD controllers, increment volume
Code device and frame imaging sensor；
The motor includes motor M1, motor M2；
Workbench and lamp are additionally provided in the detection device, the motor M1 and motor M2 are arranged side by side in workbench
Lower section, the both sides of the workbench are provided with trundle, and the upper end of the trundle and the upper surface of workbench are in same level
On；
Drive is provided with below the trundle, the drive is between motor and workbench；
The motor is connected by belt with drive；
Ccd sensor is provided with above the workbench, which is connected with CCD controllers；
Lamp is provided between the ccd sensor and workbench, the lamp position is above the side of workbench；
Incremental encoder and frame imaging sensor are provided with above the side of the motor M1, the incremental encoder, which is located at, to be passed
Above the side of driving wheel, frame imaging sensor is located at drive side-lower, and the frame imaging sensor is located at drive and motor M1
Between；
The CCD controllers, incremental encoder and frame imaging sensor are connected with exploitation sheet processor, the development board
Processor is connected with host；
Further, the drive radius above motor M1 sides is more than the transmission being located above motor M2 sides
Wheel；
Further, it is described exploitation sheet processor include scanning processor, digital signal processor, synchronizer trigger and
Motor driver；
The ccd sensor is controlled by CCD controllers to be believed with the fabric in scanning motion with obtaining gray scale or coloured image
Number, and this signal is passed into scanning processor, then handled by digital signal processor；
The synchronizer trigger obtains the electric signal of incremental encoder, and the signal that this signal and scanning processor are scanned
It synchronizes；
The picture signal that the frame imaging sensor obtains passes to motor driver, and motor driver can same time control
Motor M1 and motor M2 processed；
Specifically, the scanning processor, digital signal processor, synchronizer trigger and motor driver can be distinguished
Signal transmission is carried out with host；
Wherein, the frequency of the lamp provides sufficient illumination intensity in 40~50kHz ranges, in order to avoid flicker；
The detection of fabric includes incandescence object and yarn dyed fabric；
A. grey cloth is weaved using warp, the weft threads of white, and there is no decorative patterns and intact fabric to mismatch due to color
Yarn mistake and cause pattern, fault, therefore, it is possible to which this kind of grey cloth image is converted to gray level image, then carry out fault
Detection process；
B. yarn dyed fabric defect detection algorithm performs flow is as follows：
The acquisition of yarn dyed fabric image (flawless reference picture and image to be detected)；
Coloured fabrics texture image enhancing is carried out with fractional order differential mask；
Yarn dyed fabric image from rgb color model conversion to Lab colour models, and 2 Color Channels are combined into 1 again
Number Color Channel；
Log-gabor filtering is carried out to color channel image and gray channel image, calculates color characteristic energy spectrum image
With gray feature energy spectrum image, the energy feature image of yarn dyed fabric is obtained after fusion；
Training stage calculates the flawless reference picture of yarn dyed fabric and the feature vector of the flawless segmentation pane of each of which, obtains
The possibility predication threshold value of flawless window；
Detection-phase calculates the feature vector of each segmentation pane to be detected of yarn dyed fabric energy feature image to be detected,
The estimated value of each pane is obtained, by with threshold value comparison, detect the defect regions of yarn dyed fabric.
For the fault having been detected by, geometric properties that fault classification and identification algorithm exports assemblage characteristic extractor and
Fault classification results, are then respectively fed to display, network and control by input parameter of the texture feature vector as grader
Interface.
Operation principle is：The image procossing of yarn-dyed fabric belongs to color digital image process range, and the fault of yarn dyed fabric is automatic
Detection algorithm basis is exactly colour model, color quantization and color separation technology, and RGB color model is three-dimensional rectangular coordinate color system
In a unit cube.CIE color model includes a series of color model, these color model are by international lighting committee member
It can propose, be based on reaction of the eyes of people to RGB, be used for reception of the Precise Representation to color.
The beneficial effects of the present invention are：Machine vision and image processing techniques can be applied to by textile using the device
It is high, objective reproducible, fast with Detection accuracy using automatic fabric defects detection system in defect detection and classification work
Spend the advantages that fast.
Description of the drawings
Fig. 1 be a kind of clothes processing proposed by the present invention perching machine detecting device in automatic defect detection hardware
Partial schematic diagram.
Specific embodiment
In order to be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, tie below
Diagram and specific embodiment are closed, the present invention is further explained.
With reference to shown in Fig. 1, which obtains hardware including video image
Subsystem, exploitation sheet processor and host, the video image obtain hardware subsystem and include motor, ccd sensor 3, CCD
Controller 4, incremental encoder 5 and frame imaging sensor 6；
The motor includes motor M1, motor M2；
Workbench 9 and lamp 8 are additionally provided in the detection device, the motor M1 and motor M2 are arranged side by side in workbench
7 lower section, the both sides of the workbench 7 are provided with trundle 10, and the upper end of the trundle 10 is with the upper surface of workbench 7 same
On one horizontal plane；
The lower section of the trundle 10 is provided with drive 11, and the drive 11 is between motor and workbench 7；
The motor is connected by belt with drive 11；
The top of the workbench 7 is provided with ccd sensor 3, which is connected with CCD controllers 4；
Lamp 8 is provided between the ccd sensor 3 and workbench 7, the lamp 8 is located above the side of workbench 7；
Incremental encoder 5 and frame imaging sensor 6, the incremental encoder 5 are provided with above the side of the motor M1
Above the side of drive 11, frame imaging sensor 6 is located at 11 side-lower of drive, and the frame imaging sensor 6 is located at transmission
Between 11 and motor M1 of wheel；
The CCD controllers 4, incremental encoder 5 and frame imaging sensor 6 are connected with exploitation sheet processor, described to open
Hair sheet processor is connected with host 16；
Further, 11 radius of drive above motor M1 sides is more than the transmission being located above motor M2 sides
Wheel 11；
Further, the exploitation sheet processor includes scanning processor 12, digital signal processor 13, synchronous triggering
Device 14 and motor driver 15；
The ccd sensor 3 is controlled with the fabric in scanning motion by CCD controllers 4 to obtain gray scale or coloured image
Signal, and this signal is passed into scanning processor 12, then handled by digital signal processor 13；
The synchronizer trigger 14 obtains the electric signal of incremental encoder 5, and this signal and scanning processor 12 are scanned
Signal synchronize；
The picture signal that the frame imaging sensor 6 obtains passes to motor driver 15, and motor driver 15 can
Control motor M1 and motor M2 simultaneously；
Specifically, the scanning processor 12, digital signal processor 13, synchronizer trigger 14 and motor driver 15
Signal transmission can be carried out with host 16 respectively；
Wherein, the frequency of the lamp 8 provides sufficient illumination intensity in 40~50kHz ranges, in order to avoid flicker；
The detection of fabric includes incandescence object and yarn dyed fabric；
A. grey cloth is weaved using warp, the weft threads of white, and there is no decorative patterns and intact fabric to mismatch due to color
Yarn mistake and cause pattern, fault, therefore, it is possible to which this kind of grey cloth image is converted to gray level image, then carry out fault
Detection process；
B. yarn dyed fabric defect detection algorithm performs flow is as follows：
The acquisition of yarn dyed fabric image (flawless reference picture and image to be detected)；
Coloured fabrics texture image enhancing is carried out with fractional order differential mask；
Yarn dyed fabric image from rgb color model conversion to Lab colour models, and 2 Color Channels are combined into 1 again
Number Color Channel；
Log-gabor filtering is carried out to color channel image and gray channel image, calculates color characteristic energy spectrum image
With gray feature energy spectrum image, the energy feature image of yarn dyed fabric is obtained after fusion；
Training stage calculates the flawless reference picture of yarn dyed fabric and the feature vector of the flawless segmentation pane of each of which, obtains
The possibility predication threshold value of flawless window；
Detection-phase calculates the feature vector of each segmentation pane to be detected of yarn dyed fabric energy feature image to be detected,
The estimated value of each pane is obtained, by with threshold value comparison, detect the defect regions of yarn dyed fabric.
For the fault having been detected by, geometric properties that fault classification and identification algorithm exports assemblage characteristic extractor and
Fault classification results, are then respectively fed to display, network and control by input parameter of the texture feature vector as grader
Interface.
The image procossing of yarn-dyed fabric belongs to color digital image process range, the automatic defect inspection algorithm basis of yarn dyed fabric
It is exactly colour model, color quantization and color separation technology, RGB color model is a unit in three-dimensional rectangular coordinate color system
Square.CIE color model includes a series of color model, these color model are proposed by International Commission on Illumination, are
Reaction based on the eyes of people to RGB is used for reception of the Precise Representation to color.
Machine vision and image processing techniques can be applied in textile defect detection and classification work using the device,
Using automatic fabric defects detection system have many advantages, such as Detection accuracy it is high, it is objective it is reproducible, speed is fast.
Basic principle, main feature and the advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, various changes and improvements may be made to the invention without departing from the spirit and scope of the present invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent defines.
Claims (5)
1. a kind of perching machine detecting device of clothes processing, at video image acquisition hardware subsystem, development board
Manage device and host, it is characterised in that：
The video image obtains hardware subsystem and includes motor, ccd sensor (3), CCD controllers (4), incremental encoder
(5) and frame imaging sensor (6)；
The motor includes motor M1 (1), motor M2 (2)；
Be additionally provided with workbench (9) and lamp (8) in the detection device, the motor M1 (1) and motor M2 (2) be arranged side by side in
The lower section of workbench (7), the both sides of the workbench (7) are provided with trundle (10), the upper end of the trundle (10) and work
The upper surface of platform (7) is in same level；
Drive (11) is provided with below the trundle (10), the drive (11) is positioned at motor and workbench (7)
Between；
The motor is connected by belt with drive (11)；
Ccd sensor (3) is provided with above the workbench (7), which is connected with CCD controllers (4)；
Lamp (8) is provided between the ccd sensor (3) and workbench (7), the lamp (8) is on the side of workbench (7)
Side；
Incremental encoder (5) and frame imaging sensor (6), the incremental encoder are provided with above the side of the motor M1 (1)
(5) above the side of drive (11), frame imaging sensor (6) is positioned at drive (11) side-lower, the frame image sensing
Device (6) is between drive (11) and motor M1 (1)；
The CCD controllers (4), incremental encoder (5) and frame imaging sensor (6) are connected with exploitation sheet processor, described
Exploitation sheet processor is connected with host (16).
2. a kind of perching machine detecting device of clothes processing as described in claim 1, which is characterized in that described to be located at
Drive (11) radius above motor M1 (1) side is more than the drive (11) being located above motor M2 (2) side.
A kind of 3. perching machine detecting device of clothes processing as described in claim 1, which is characterized in that the exploitation
Sheet processor includes scanning processor (12), digital signal processor (13), synchronizer trigger (14) and motor driver
(15)；
The ccd sensor (3) is controlled with the fabric in scanning motion by CCD controllers (4) to obtain gray scale or coloured image
Signal, and this signal is passed into scanning processor (12), then handled by digital signal processor (13)；
The synchronizer trigger (14) obtains the electric signal of incremental encoder (5), and this signal and scanning processor (12) are swept
The signal retouched synchronizes；
The picture signal that the frame imaging sensor (6) obtains passes to motor driver (15), motor driver (15)
Motor M1 (1) and motor M2 (2) can be controlled simultaneously.
A kind of 4. perching machine detecting device of clothes processing as claimed in claim 3, which is characterized in that the scanning
Processor (12), digital signal processor (13), synchronizer trigger (14) and motor driver (15) can respectively with host
(16) signal transmission is carried out.
A kind of 5. perching machine detecting device of clothes processing as claimed in claim 3, which is characterized in that the lamp
(8) frequency is in 40~50kHz ranges.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810208246.6A CN108221339A (en) | 2018-03-14 | 2018-03-14 | A kind of perching machine detecting device of clothes processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810208246.6A CN108221339A (en) | 2018-03-14 | 2018-03-14 | A kind of perching machine detecting device of clothes processing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108221339A true CN108221339A (en) | 2018-06-29 |
Family
ID=62659483
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810208246.6A Withdrawn CN108221339A (en) | 2018-03-14 | 2018-03-14 | A kind of perching machine detecting device of clothes processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108221339A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110907037A (en) * | 2019-12-05 | 2020-03-24 | 西安获德图像技术有限公司 | Fabric color online detection system and detection method based on photoelectric integration method |
| CN113284147A (en) * | 2021-07-23 | 2021-08-20 | 常州市新创智能科技有限公司 | Foreign matter detection method and system based on yellow foreign matter defects |
-
2018
- 2018-03-14 CN CN201810208246.6A patent/CN108221339A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110907037A (en) * | 2019-12-05 | 2020-03-24 | 西安获德图像技术有限公司 | Fabric color online detection system and detection method based on photoelectric integration method |
| CN113284147A (en) * | 2021-07-23 | 2021-08-20 | 常州市新创智能科技有限公司 | Foreign matter detection method and system based on yellow foreign matter defects |
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Application publication date: 20180629 |
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