CN107392905B - Real-time pattern identifying system - Google Patents
Real-time pattern identifying system Download PDFInfo
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- CN107392905B CN107392905B CN201710668493.XA CN201710668493A CN107392905B CN 107392905 B CN107392905 B CN 107392905B CN 201710668493 A CN201710668493 A CN 201710668493A CN 107392905 B CN107392905 B CN 107392905B
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- 238000003909 pattern recognition Methods 0.000 claims abstract description 45
- 238000001914 filtration Methods 0.000 claims description 38
- 230000002708 enhancing effect Effects 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 230000006872 improvement Effects 0.000 claims description 6
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000009499 grossing Methods 0.000 claims 1
- 229920000742 Cotton Polymers 0.000 description 7
- 239000004744 fabric Substances 0.000 description 6
- 238000013461 design Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 230000000717 retained effect Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 239000004753 textile Substances 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004061 bleaching Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
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- 238000003384 imaging method Methods 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
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- 238000005517 mercerization Methods 0.000 description 1
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Classifications
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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
- G06T7/001—Industrial image inspection using an image reference approach
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- G06T5/70—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
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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
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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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
- G06T2207/30124—Fabrics; Textile; Paper
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- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Multimedia (AREA)
- Image Analysis (AREA)
- Treatment Of Fiber Materials (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present invention relates to a kind of real-time sheet pattern recogni-tion systems, including sheet conveyer belt, pattern recognition device, pattern match equipment and Realtime Alerts equipment, the sheet conveyer belt is used to transmit sheet to be tested in real time, the pattern recognition device is used to identify the real-time pattern on sheet to be tested, the pattern match equipment is connect with the pattern recognition device, for receiving the real-time pattern, and the real-time pattern and preset reference pattern are compared, the Realtime Alerts equipment is connect with the pattern match equipment, for determining strategy of alarming accordingly based on the output of the pattern match equipment.By means of the invention it is possible to the wrongly typed pattern on sheet is found in time.
Description
Technical field
The present invention relates to sheet field more particularly to a kind of real-time pattern identifying systems.
Background technology
The fabric features of sheet are that breadth, pattern and flower-shape variation are flexible, have pure cotton and blended two by raw materials used difference
Class.Pure cotton sheet gas permeability, good hygroscopicity, comfortable feel is soft, thick and solid wear-resisting.All it is that the title yarn of single thread knits sheet through weft yarn,
All it is the title all fronts sheet of strand, yarns interwoven makees warp thread with strand, single thread makees the title half line sheet of weft yarn.Blended sheet has
Cotton/dimension, cotton/wash with the products such as cotton/fiber crops, have many advantages, such as it is quick-drying washable, very scrape, be strong wear-resisting.
The length and width of sheet is fixed according to the size of bed, there is Chinese style and Western-style differentiation.Chinese-style bedsheet is generally long
It is 210~228 centimetres to spend, and width is 100~200 centimetres.Fabric generally use re-organized, alternative construction or united organization, matter
Ground is thicker.The general length of western style bed sheet be 108 inch, width have 72,80,90 inches etc. it is a variety of.Generally using plain weave or
Twill-weave, fabric texture is relatively thin, and flower pattern is completely to dissipate flower mostly.Some products pass through napping, have good feel and guarantor
Warm property.The designs and varieties of sheet have complete white, plain color, grid, stamp, jacquard weave, napping etc..All-white bed sheet white appearance, is generally adopted
With grey cotton weaving yarns, then through scouringing and bleaching and adding white arrangement.Pastel-coloured sheet, which is that openpore is dyed, to be formed.Grid sheet is with dyed yarn (line)
It is made into.Same tone and the different title plain color grid of the depth, different tones are colored grid, by satin weave and other weavy grain intervals
Title satin satin lattice.The flower pattern of art ticking has side flower, middle flower, strip flower, (is commonly called as four dishes one to flower in corner piece, scattered flower, quadrangle
Soup) etc..The floral designs of fancy bed sheet are according to design requirement dobbies or jacquard woven.Sheet has after mercerization finish
The advantages of glossy good, washing shrinkage is small and color is rich and gaudy.
However, often occur the situation of sheet pattern misprint in the prior art, once this problem product distribution
To the use of purchase personnel in the market, is not only affected, more it is essential that having severely impacted the letter of sheet manufacturer
Reputation.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of real-time sheet pattern recogni-tion system, using sheet conveyer belt
For transmitting sheet to be tested in real time, using targetedly, high-precision pattern recognition device is for identifying sheet to be tested
On real-time pattern, be used to the real-time pattern and preset reference pattern being compared using pattern match equipment, also use
Realtime Alerts equipment is used to determine strategy of alarming accordingly based on the output of the pattern match equipment, particular, it is important that figure
In case identification equipment, handled based on the predetermined pattern gray threshold range from the black level and identified in image and be partitioned into figure
Case subgraph, and determine based on the pattern subgraph real-time pattern on sheet to be tested, so as to improve the inspection of sheet pattern
The real-time and accuracy of survey.
According to an aspect of the present invention, a kind of real-time sheet pattern recogni-tion system is provided, the system comprises sheet biographies
Band, pattern recognition device, pattern match equipment and Realtime Alerts equipment are sent, the sheet conveyer belt is to be tested for transmitting in real time
Sheet, the pattern recognition device are used to identify the real-time pattern on sheet to be tested, the pattern match equipment and the figure
Case identification equipment connects, and for receiving the real-time pattern, and the real-time pattern and preset reference pattern is compared, institute
It states Realtime Alerts equipment to connect with the pattern match equipment, for determining accordingly based on the output of the pattern match equipment
Alarm strategy.
More specifically, in the real-time sheet pattern recogni-tion system, further include：Flash memory device, it is pre- for prestoring
If reference pattern；Wherein, the flash memory device is connect with the pattern match equipment.
More specifically, in the real-time sheet pattern recogni-tion system：The pattern recognition device, the pattern match are set
Standby and described flash memory device is all disposed in the control cabinet of sheet conveyer belt side；Wherein, in the pattern match equipment, work as institute
When stating real-time pattern and preset reference pattern match degree more than or equal to preset matching threshold value, pattern match pass signal is sent out, when
When the real-time pattern is less than preset matching threshold value with preset reference pattern match degree, pattern match failure signal is sent out；It is described
Realtime Alerts equipment performs corresponding alarm operation when receiving the pattern match failure signal.
More specifically, in the real-time sheet pattern recogni-tion system, further include：Profile judges equipment, is exported with image
Equipment connects, and for receiving processed image, and judges the objective contour in the processed image；Shape judges equipment, with
The profile judges that equipment connects, and for receiving the objective contour in the processed image, and judges the processed image
In the corresponding contour shape of objective contour；Stencil-chosen equipment judges that equipment is connect with the shape, for being based on the wheel
Profile shape determines medium filtering template；The degree of correlation judges equipment, for receiving processed image, and judges the processed image
In the degree of correlation grade between pixel two-by-two；Adaptive-filtering equipment, respectively with the stencil-chosen equipment and the degree of correlation
Judge that equipment connects, using each pixel in the processed image as object pixel, based on the medium filtering template
The medium filtering window centered on the object pixel is determined, by the phase with the object pixel in the medium filtering window
After pass degree grade is more than or equal to filtering of the mean value of the pixel value of all pixels of predetermined level threshold value as the object pixel
Pixel value；Filtered pixel value output adaptive filtering figure of the adaptive-filtering equipment based on all object pixels
Picture.
More specifically, in the real-time sheet pattern recogni-tion system, further include：
Multilayer enhances equipment, is connect with adaptive-filtering equipment, for receiving adaptive-filtering image, based on goal-selling
Gray threshold range determines whether each pixel in the adaptive-filtering image belongs to object pixel, will be described adaptive
The institute in preliminary region in the adaptive-filtering image is improved in all object pixels composition preliminary aim region in filtering image
There is the gray value grade of pixel and improve image to obtain contrast, enhance the highlights region in the contrast raising image, together
When reduce the contrast and improve dark portion region in image, to obtain targets improvement image, to the targets improvement image into
Row picture smooth treatment enhances image to obtain multilayer；
Video capture device, for the sheet to be tested transmitted in real time on sheet conveyer belt carry out video data acquiring with
Obtain each target image frame in prefixed time interval；Clarity detection device connect with the video capture device, is used for
Each target image frame is received, and determines the clarity of each target image frame；Image compares equipment, respectively with the flash memory
Equipment is connected with the clarity detection device, for obtaining the clear of each target image frame and each target image frame
Degree removes one or more target images that clarity is less than or equal to default clarity threshold from each target image frame
Frame is to obtain each alternate image frame；
Image output device, equipment connects compared with the flash memory device and described image respectively, each standby for receiving
With picture frame, and the one or more for being less than or equal to default fractional threshold from each alternate image frame removal signal-to-noise ratio is spare
Picture frame carries out image averaging processing to obtain each final image frame, to each final image frame and has been located with obtaining and exporting
Manage image；Region division equipment is connect with multilayer enhancing equipment, and for receiving multilayer enhancing image, multilayer enhancing image is drawn
Be divided into multiple fringe regions, include a boundary curve in each fringe region, boundary curve by multiple pixel values be 0 it is black
Level pixel forms；
Equipment for area detection equipment is connect with the region division equipment, for be directed in multilayer enhancing image each is black
Level pixel determines the fringe region where it, measures its distance to boundary curve core-wire using as boundary curve distance,
The black level pixel that boundary curve distance is more than or equal to pre-programmed curve distance replaces with white level pixel, by boundary curve distance
Black level pixel less than pre-programmed curve distance is left black level pixel；Image output device, by each black level pixel quilt
Multilayer that treated enhances image as black level processing image output；
Wherein, the pattern recognition device is connect respectively with described image output equipment and the flash memory device, for connecing
Black level processing image is received, is handled in image from the black level based on the predetermined pattern gray threshold range and is identified and divide
Go out pattern subgraph, and the real-time pattern on sheet to be tested is determined based on the pattern subgraph.
More specifically, in the real-time sheet pattern recogni-tion system：The flash memory device is default clear for prestoring
Clear degree threshold value and default fractional threshold.
More specifically, in the real-time sheet pattern recogni-tion system：Boundary curve core-wire is on the curve of corresponding edge
The curve curve that each central point is formed in the radial direction.
More specifically, in the real-time sheet pattern recogni-tion system：The flash memory device is additionally operable to storage predetermined pattern
Gray threshold range；Wherein, the predetermined pattern gray threshold range includes pattern gray scale upper limit threshold and pattern gray scale lower limit
Threshold value.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram of the real-time sheet pattern recogni-tion system according to embodiment of the present invention.
Reference numeral：1 sheet conveyer belt；2 pattern recognition devices；3 pattern match equipment；4 Realtime Alerts equipment
Specific embodiment
The embodiment of the real-time sheet pattern recogni-tion system of the present invention is described in detail below with reference to accompanying drawings.
One of sheet, the textile on bed, also referred to as coverlet, quilt cover.It is generally good using wealthy soft warmth retention property
Fabric.Sheet is used as the broad fabrics of bed surface paving decorations.Using pure cotton or scribbled as raw material, using plain weave, twill, variation group
It knits or figured texture weave, is woven in the only width of Looms.There are complete white, plain color, colour bar, color lattice, stamp, jacquard weave, etching, embroidery etc..
Flower pattern is beautiful, and cloth cover is smooth, and feel is very refreshing, strong durable, is to have practicability and decorative textile concurrently.
Currently, there is a situation where that sheet is misprinted, but lack corresponding wrong version sheet detection pattern.In order to overcome it is above-mentioned not
Foot, the present invention have built a kind of real-time sheet pattern recogni-tion system, and specific embodiment is as follows.
Block diagrams of the Fig. 1 for the real-time sheet pattern recogni-tion system according to embodiment of the present invention, the system
System includes sheet conveyer belt, pattern recognition device, pattern match equipment and Realtime Alerts equipment.
Wherein, the sheet conveyer belt for transmitting sheet to be tested in real time, for identifying treat by the pattern recognition device
The real-time pattern on sheet is examined, the pattern match equipment is connect with the pattern recognition device, described real-time for receiving
Pattern, and the real-time pattern and preset reference pattern are compared, the Realtime Alerts equipment is set with the pattern match
Standby connection, for determining strategy of alarming accordingly based on the output of the pattern match equipment.
Then, continue that the concrete structure of the real-time sheet pattern recogni-tion system of the present invention is further detailed.
The real-time sheet pattern recogni-tion system can also include：
Flash memory device, for prestoring preset reference pattern；
Wherein, the flash memory device is connect with the pattern match equipment.
In the real-time sheet pattern recogni-tion system：
The pattern recognition device, the pattern match equipment and the flash memory device are all disposed within sheet conveyer belt side
Control cabinet in；
Wherein, in the pattern match equipment, when the real-time pattern and preset reference pattern match degree are more than or equal in advance
If during matching threshold, sending out pattern match pass signal, preset when the real-time pattern is less than with preset reference pattern match degree
During matching threshold, pattern match failure signal is sent out；
Wherein, the Realtime Alerts equipment performs corresponding alarm behaviour when receiving the pattern match failure signal
Make.
The real-time sheet pattern recogni-tion system can also include：
Profile judges equipment, is connect with image output device, for receiving processed image, and judges the processed figure
Objective contour as in；
Shape judges equipment, judges that equipment is connect with the profile, for receiving the target wheel in the processed image
Exterior feature, and judge the corresponding contour shape of objective contour in the processed image；
Stencil-chosen equipment judges that equipment is connect with the shape, for determining medium filtering based on the contour shape
Template；
The degree of correlation judges equipment, for receiving processed image, and judges in the processed image between pixel two-by-two
Degree of correlation grade；
Adaptive-filtering equipment judges that equipment is connect with the stencil-chosen equipment and the degree of correlation respectively, by described in
Each pixel in processed image as object pixel, based on the medium filtering template determine using the object pixel as
The medium filtering window at center, it is default by being more than or equal in the medium filtering window with the degree of correlation grade of the object pixel
Filtered pixel value of the mean value of the pixel value of all pixels of grade threshold as the object pixel；The adaptive filter
Filtered pixel value output adaptive filtering image of the wave device based on all object pixels.
The real-time sheet pattern recogni-tion system can also include：
Multilayer enhances equipment, is connect with adaptive-filtering equipment, for receiving adaptive-filtering image, based on goal-selling
Gray threshold range determines whether each pixel in the adaptive-filtering image belongs to object pixel, will be described adaptive
The institute in preliminary region in the adaptive-filtering image is improved in all object pixels composition preliminary aim region in filtering image
There is the gray value grade of pixel and improve image to obtain contrast, enhance the highlights region in the contrast raising image, together
When reduce the contrast and improve dark portion region in image, to obtain targets improvement image, to the targets improvement image into
Row picture smooth treatment enhances image to obtain multilayer；
Video capture device, for the sheet to be tested transmitted in real time on sheet conveyer belt carry out video data acquiring with
Obtain each target image frame in prefixed time interval；
Clarity detection device is connect with the video capture device, for receiving each target image frame, and is determined every
The clarity of one target image frame；
Image compares equipment, is connect respectively with the flash memory device and the clarity detection device, each for obtaining
The clarity of target image frame and each target image frame, removal clarity is less than or equal to from each target image frame
One or more target image frames of clarity threshold are preset to obtain each alternate image frame；
Image output device, equipment connects compared with the flash memory device and described image respectively, each standby for receiving
With picture frame, and the one or more for being less than or equal to default fractional threshold from each alternate image frame removal signal-to-noise ratio is spare
Picture frame carries out image averaging processing to obtain each final image frame, to each final image frame and has been located with obtaining and exporting
Manage image；
Region division equipment is connect with multilayer enhancing equipment, and for receiving multilayer enhancing image, multilayer enhancing image is drawn
Be divided into multiple fringe regions, include a boundary curve in each fringe region, boundary curve by multiple pixel values be 0 it is black
Level pixel forms；
Equipment for area detection equipment is connect with the region division equipment, for be directed in multilayer enhancing image each is black
Level pixel determines the fringe region where it, measures its distance to boundary curve core-wire using as boundary curve distance,
The black level pixel that boundary curve distance is more than or equal to pre-programmed curve distance replaces with white level pixel, by boundary curve distance
Black level pixel less than pre-programmed curve distance is left black level pixel；
Image output device, using each black level pixel, by treated, multilayer enhancing image handles image as black level
Output；
Wherein, the pattern recognition device is connect respectively with described image output equipment and the flash memory device, for connecing
Black level processing image is received, is handled in image from the black level based on the predetermined pattern gray threshold range and is identified and divide
Go out pattern subgraph, and the real-time pattern on sheet to be tested is determined based on the pattern subgraph.
In the real-time sheet pattern recogni-tion system：
The flash memory device is used to prestore default clarity threshold and default fractional threshold.
In the real-time sheet pattern recogni-tion system：
Boundary curve core-wire is by the corresponding edge curve upper curve curve that each central point forms in the radial direction.
In the real-time sheet pattern recogni-tion system：
The flash memory device is additionally operable to storage predetermined pattern gray threshold range；
Wherein, the predetermined pattern gray threshold range includes pattern gray scale upper limit threshold and pattern gray scale lower threshold.
In addition, image filtering, i.e., press down the noise of target image under conditions of image detail feature is retained as possible
System, is indispensable operation in image preprocessing, and the quality for the treatment of effect will directly influence subsequent image processing and divide
The validity and reliability of analysis.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
It is often polluted in journey by a variety of noises.In addition, certain links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one and cause the isolated of stronger visual effect on the image
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration,
The progress of the subsequent work such as segmentation, feature extraction, image identification.A kind of effective wave filter for inhibiting noise is constructed to must take into consideration
Two basic problems：The noise in target and background can effectively be removed；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One kind in common image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
Such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when composing aliasing or when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, if Fourier converts, while noise is filtered out, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for leading to the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relationship to input signal, often a certain specific noise approx can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
Real-time sheet pattern recogni-tion system using the present invention, for the sheet None- identified of wrong patterns in the prior art
The technical issues of, it is to be tested for identifying by existing sheet manufacture system, increasing the pattern recognition device of customization
Real-time pattern on sheet is used to the real-time pattern and preset reference pattern being compared using pattern match equipment, with
Determine sheet current in sheet manufacture system whether pattern misprint, so as to solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention, technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (2)
1. a kind of real-time sheet pattern recogni-tion system, including：
Sheet conveyer belt, pattern recognition device, pattern match equipment and Realtime Alerts equipment, the sheet conveyer belt is for real-time
Sheet to be tested is transmitted, the pattern recognition device is used to identify the real-time pattern on sheet to be tested, and the pattern match is set
It is standby to be connect with the pattern recognition device, for receiving the real-time pattern, and by the real-time pattern and preset reference pattern
It is compared, the Realtime Alerts equipment is connect with the pattern match equipment, for based on the defeated of the pattern match equipment
Go out to determine strategy of alarming accordingly；
Flash memory device, for prestoring preset reference pattern；
Wherein, the flash memory device is connect with the pattern match equipment；
The pattern recognition device, the pattern match equipment and the flash memory device are all disposed within the control of sheet conveyer belt side
In case processed；
Wherein, in the pattern match equipment, when the real-time pattern and preset reference pattern match degree are more than or equal to default
During with threshold value, pattern match pass signal is sent out, when the real-time pattern and preset reference pattern match degree are less than preset matching
During threshold value, pattern match failure signal is sent out；
Wherein, the Realtime Alerts equipment performs corresponding alarm operation when receiving the pattern match failure signal；
It is characterized in that, it further includes：
Profile judges equipment, is connect with image output device, for receiving processed image, and judges in the processed image
Objective contour；
Shape judges equipment, judges that equipment is connect with the profile, for receiving the objective contour in the processed image, and
Judge the corresponding contour shape of objective contour in the processed image；
Stencil-chosen equipment judges that equipment is connect with the shape, for determining medium filtering template based on the contour shape；
The degree of correlation judges equipment, for receiving processed image, and judges in the processed image phase between pixel two-by-two
Pass degree grade；
Adaptive-filtering equipment judges that equipment is connect with the stencil-chosen equipment and the degree of correlation respectively, has located described
Each pixel in image is managed as object pixel, is determined centered on the object pixel based on the medium filtering template
Medium filtering window, will in the medium filtering window with the degree of correlation grade of the object pixel be more than or equal to predetermined level
Filtered pixel value of the mean value of the pixel value of all pixels of threshold value as the object pixel；The adaptive-filtering is set
The standby filtered pixel value output adaptive filtering image based on all object pixels.
2. sheet pattern recogni-tion system in real time as described in claim 1, which is characterized in that further include：
Multilayer enhances equipment, is connect with adaptive-filtering equipment, for receiving adaptive-filtering image, based on goal-selling gray scale
Threshold range determines whether each pixel in the adaptive-filtering image belongs to object pixel, by the adaptive-filtering
All pictures in preliminary region in the adaptive-filtering image are improved in all object pixels composition preliminary aim region in image
The gray value grade of element improves image to obtain contrast, enhances the highlights region in the contrast raising image, subtracts simultaneously
Few contrast improves the dark portion region in image, and to obtain targets improvement image, figure is carried out to the targets improvement image
As smoothing processing with obtain multilayer enhancing image；
Video capture device, for being obtained to the sheet to be tested transmitted in real time on sheet conveyer belt progress video data acquiring
Each target image frame in prefixed time interval；
Clarity detection device is connect with the video capture device, for receiving each target image frame, and determines each
The clarity of target image frame；
Image compares equipment, is connect respectively with the flash memory device and the clarity detection device, for obtaining each target
The clarity of picture frame and each target image frame removes clarity from each target image frame and is less than or equal to preset
One or more target image frames of clarity threshold are to obtain each alternate image frame；
Image output device, equipment connects compared with the flash memory device and described image respectively, for receiving each spare figure
As frame, and one or more alternate images from each alternate image frame removal signal-to-noise ratio less than or equal to default fractional threshold
Frame carries out image averaging processing to obtain and export processed figure to obtain each final image frame, to each final image frame
Picture；
Region division equipment is connect with multilayer enhancing equipment, and for receiving multilayer enhancing image, multilayer enhancing image is divided into
Multiple fringe regions, include a boundary curve in each fringe region, and boundary curve is by black level that multiple pixel values are 0
Pixel forms；
Equipment for area detection equipment is connect with the region division equipment, for each black level being directed in multilayer enhancing image
Pixel determines the fringe region where it, its distance to boundary curve core-wire is measured using as boundary curve distance, by side
The black level pixel that edge curve distance is more than or equal to pre-programmed curve distance replaces with white level pixel, and boundary curve distance is less than
The black level pixel of pre-programmed curve distance is left black level pixel；
Image output device, using each black level pixel, by treated, multilayer enhancing image is defeated as black level processing image
Go out；
Wherein, the pattern recognition device is connect respectively with described image output equipment and the flash memory device, black for receiving
Level handles image, is handled based on the predetermined pattern gray threshold range from the black level and is identified in image and be partitioned into figure
Case subgraph, and determine based on the pattern subgraph real-time pattern on sheet to be tested.
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| CN104616003A (en) * | 2015-03-06 | 2015-05-13 | 侯苏 | System for identifying type of foreign matters on power line |
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| CN103018254A (en) * | 2012-12-04 | 2013-04-03 | 东南大学 | Automatic detection device based on image identification technology |
| CN104537390B (en) * | 2015-01-15 | 2017-07-07 | 刘宁 | A kind of intelligent fabric tissue type detection method |
| CN105181708A (en) * | 2015-08-27 | 2015-12-23 | 李红军 | Qualification detection platform of sewing needles in batches |
| CN106162076A (en) * | 2016-06-27 | 2016-11-23 | 刘杰杰 | Big data image gray processing processing means |
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| CN104616003A (en) * | 2015-03-06 | 2015-05-13 | 侯苏 | System for identifying type of foreign matters on power line |
| CN105352480A (en) * | 2015-04-01 | 2016-02-24 | 郑海雁 | Electric transmission line foreign matter kind detection method |
| CN106192352A (en) * | 2016-07-14 | 2016-12-07 | 上海和鹰机电科技股份有限公司 | A kind of stamp method of cutting out of intelligence cutter |
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