CN110146508A - Lack material detection method - Google Patents
Lack material detection method Download PDFInfo
- Publication number
- CN110146508A CN110146508A CN201910371307.5A CN201910371307A CN110146508A CN 110146508 A CN110146508 A CN 110146508A CN 201910371307 A CN201910371307 A CN 201910371307A CN 110146508 A CN110146508 A CN 110146508A
- Authority
- CN
- China
- Prior art keywords
- material region
- region
- scarce
- boundary
- lacks
- 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
Classifications
-
- 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
-
- 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
Abstract
The application provides a kind of lack and expects detection method, and for detecting the scarce material region of battery material, the scarce material detection method includes: the present image for obtaining battery material；It identifies the scarce material area type in the present image, obtains the information in the scarce material region；Judge to lack material region with the presence or absence of first in the scarce material region；When lacking material region there are described first, judge described first lacks expect whether region and the second scarce material region prestored are continuous；Region consecutive hours is expected when the described first scarce material region is lacked with described second, and the described first scarce material region is lacked with described second and expects that region is spliced to form splicing regions；Obtain and export the information of the splicing regions.In the application, by can accurately detect that large scale lacks the information in material region to not showing that complete defect area splices.
Description
Technical field
This application involves battery manufacturing fields, more particularly to a kind of lack to expect detection method.
Background technique
The pole piece of battery it is laminating need it is by milling roller that the material on PET film is laminating on pole piece, and in laminating mistake
In journey on tension, milling roller there are due to foreign matter, gap etc., causing not to be transferred on pole piece from PET film to laminating material,
It generates and lacks material phenomenon.Pole piece large area lacks material, and to will lead to the battery core energy density produced uneven, influences battery performance, therefore
Need to detect and mark the position of material of falling vacant, especially large area to lack material before reaching subsequent work stations.Existing detection method is to adopt
It carries out lacking material detection with line scan camera shooting pole piece image, but the detection of every image is independent, once there is the area Que Liao
The size in domain is more than the size of single image, will be unable to obtain this and lack to expect region full-size.
Summary of the invention
The application provides a kind of scarce material detection method that material region is lacked for detecting large scale.
The application provides a kind of lack and expects detection method, for detecting the scarce material region of battery material, the scarce material detection side
Method includes: the present image for obtaining battery material；It identifies the scarce material area type in the present image, obtains the area Que Liao
The information in domain；Judge to lack material region with the presence or absence of first in the scarce material region；When lacking material region there are described first, judgement
Described first lacks expect whether region and the second scarce material region prestored are continuous；When the described first scarce material region lacks material with described second
Region consecutive hours lacks described first material region and lacks with described second and expects that region is spliced to form splicing regions；It obtains and exports institute
State the information of splicing regions.
Optionally, described first the first boundary that material region extends to correspondence image is lacked, described second, which lacks material region, extends
To the second boundary of correspondence image, the first boundary of the present image is disposed adjacent with the second boundary of previous image, institute
State lack material detection method include: by described first lack material region with described second lack material region be spliced to form splicing regions after,
Judge whether splicing regions extend to the second boundary of present image；When splicing regions do not extend to the second boundary of present image
When, export the information of the splicing regions；When splicing regions extend to the second boundary of present image, splicing regions are stored
Information.
Optionally, second prestored lacks the second spelling for lacking material region or being spliced to form that material region is previous image
Connect region.
Optionally, the information for obtaining the splicing regions, comprising: lack material region and the second scarce material region according to first
Information, obtain the information of the splicing regions.
Optionally, the information in the scarce material region includes the boundary position information for lacking material region.
Optionally, described to judge described first lacks expect whether region and the second scarce material region prestored are continuous, comprising: judgement
Whether the second boundary that the first the first boundary for lacking material region lacks material region with described second is overlapped.
Optionally, the described first the first boundary for lacking material region includes first end point and the second endpoint, and described second lacks material
The second boundary in region includes third endpoint and the 4th endpoint, and the judgement first lacks first boundary and described second in material region
Whether the second boundary for lacking material region is overlapped, comprising: judge the coordinate of first end point and the third endpoint coordinate whether phase
With and second endpoint coordinate it is whether identical as the coordinate of the 4th endpoint.
Optionally, the scarce material detection method includes: to lack material region with the presence or absence of first in judging the scarce material region
When, it judges whether there is second and lacks material region and the scarce material region of third；When lacking material region there are second, the second area Que Liao is stored
The information in domain；When lacking material region there are third, output third lacks the information in material region.
Optionally, the scarce material detection method includes: when described first lacks material region and extend to the of the present image
When two boundaries, the information of present image and the first scarce material region is stored.
Optionally, the scarce material detection method include: judge whether there is first lack material region, second lack material region and
After third lacks material region, classify to the scarce material region.
In the application, by can accurately detect the area large scale Que Liao to not showing that complete defect area splices
The information in domain.
Detailed description of the invention
Fig. 1 is the flow diagram of one embodiment that the application lacks material detection method；
Fig. 2 is the schematic diagram for expecting the present image of detection method acquisition by lacking by the application；
Fig. 3 is by the application by lacking the present image of material detection method acquisition and the schematic diagram of previous image；
Fig. 4 is the shown in Fig. 3 first schematic diagram for lacking material region and the second scarce material spliced splicing regions in region；
Fig. 5 is the schematic diagram of another embodiment of the application splicing regions.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the suitable digital representation in different attached drawings is suitable or similar element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent device of some aspects be described in detail in claims, the application.
It is only to be not intended to be limiting the application merely for for the purpose of describing particular embodiments in term used in this application.
Unless otherwise defined, technical term or scientific term used in this application, which are should be in fields of the present invention, has general skill
The ordinary meaning that the personage of energy is understood." first " " second " and class used in present specification and claims
As word be not offered as any sequence, quantity or importance, and be used only to distinguish different component parts.Equally, " one
It is a " or the similar word such as " one " do not indicate that quantity limits yet, but indicate that there are at least one." multiple " or " several " table
Show two and two or more.The similar word such as " comprising " or "comprising" means to appear in the member before " comprising " or "comprising"
Part or object are covered the element for appearing in " comprising " or "comprising" presented hereinafter or object and its are equal, it is not excluded that its
His element or object." connection " either the similar word such as " connected " is not limited to physics or mechanical connection, and
And may include electrical connection, it is either direct or indirect.In present specification and the appended claims
The "an" of used singular, " described " and "the" are also intended to including most forms, unless context clearly shows that
Other meanings.It is also understood that term "and/or" used herein refers to and includes one or more associated to list item
Purpose any or all may combine.
The application provides a kind of lack and expects detection method, the size and location in the scarce material region for detecting battery material.This
In embodiment, battery material 1 is by taking pole piece as an example.
Incorporated by reference to Fig. 1, the scarce material detection method includes:
Step S1: the present image of battery material is obtained.
Optionally, it is detected by CCD detection system.The CCD detection system of the present embodiment include line-scan digital camera and with
The processing unit that line-scan digital camera is electrically connected, the line-scan digital camera are used to obtain the present image of battery material, and the processing is single
Member is for identifying present image, being handled, being calculated.Due to line-scan digital camera continuous scanning line by line, present image is with before
One image and latter image are continuous, thus multiple images are sequentially connected.
Step S2: the scarce material region in identification present image obtains the information for lacking material region.
By the processing unit of CCD detection system, the gray scale of present image can be identified, according to scarce material region
The difference of gray scale and the gray scale of battery material can recognize to fall vacant and expect region, while obtain each information for lacking material region, the area Que Liao
The information in domain can be the boundary position information for lacking material region, is also possible to lack the dimension information in material region, can also be boundary
The combination of location information and dimension information.Dimension information can be obtained by boundary position information, for example, by scarce material region
The location information of each point on boundary determines the dimension information for lacking material region.
It should be noted that the quantity for lacking material region may be zero, it can be one, be also possible to multiple.Certainly, if lacking
The quantity in material region, which is zero, to be terminated to detect.
Step S3: judgement lacks in material region and lacks material region with the presence or absence of first.
Incorporated by reference to Fig. 2, in one embodiment, is lacked in material region in judgement and lack the same of material region 11 with the presence or absence of first
When, it judges whether there is second and lacks material region 13 and the scarce material region 14 of third.When lacking material region 13 there are second, storage is current
The information in image and the second scarce material region 13.When there are third lack material region 13 when, may be selected export at this moment the third lack
Expect the information in region 13.
Based on judging result, the scarce material region can be classified as first and lack material region 11,12, second lacking material region 13 and the
Three lack material 14 three types of region, and the number of types for lacking material region can be one, two or three.Described first lacks material region
11,12 the first boundary 101 for extending to correspondence image, described second lacks the second boundary that material region 13 extends to correspondence image
102, the third lacks material region 14 and is located between the first boundary 101 and the second boundary 102 of correspondence image, and first here lacks
Expect that region 11,12, second lacks material region 13, third lacks and expects that the correspondence image in region 14 is present image.Similar, previous
Image and latter image also have first to lack material region, the second scarce material region and the scarce material region of third.It is understood that one
It opens image and may not show to lack completely and expect region, such as first lacks the scarce material region 13 in material region 11,12 and second.
In the present embodiment, the first boundary is the boundary of an image upwardly, and the second boundary is image downwards
First boundary on boundary, the present image is disposed adjacent with the second boundary of previous image.Come with the direction of the image of Fig. 2
It says, the first boundary is coboundary, and the second boundary is lower boundary.
Step S4: when lacking material region there are first, second for judging the described first scarce material region and prestoring lacks material region
It is whether continuous.
Optionally, second prestored lacks the second spelling for lacking material region or being spliced to form that material region is previous image
Connect region.
By prestore second lack material region be previous image second lack material region for, due to present image with it is previous
Image is continuous, if described first lacks material region with second to lack material region continuous, illustrate that first lacks and expect region and second
Lacking material region is the complete two parts for lacking material region, and previous image here refers to that line-scan digital camera directly acquires upper
One image.Incorporated by reference to Fig. 3, in one embodiment, judge whether that continuously the first of material region 11 can be lacked by judging first
Whether the second boundary 131a that boundary 111 lacks material region 13a with described second is overlapped.
In one embodiment, judge that first lacks first boundary 111 in material region 11 with the described second scarce material region 13a's
Whether the second boundary 131a is overlapped, and can judge by the way that whether coordinate is identical.Described first lacks first boundary 111 in material region 11
Including first end point A and the second terminal B, the described second the second boundary 131a for lacking material region 13a includes third endpoint C and the 4th
Endpoint D.If the coordinate of first end point A is identical as the coordinate of third endpoint C, and the coordinate of the second terminal B and the 4th endpoint D
Coordinate is identical, then judges the second boundary 131a that the first boundary 111 that first lacks material region 11 lacks material region 13a with described second
It is overlapped；It is on the contrary then be not overlapped.Here coordinate can refer to the coordinate on a direction, such as the first boundary 101 of present image
Extending direction on coordinate.
Step S5: when the first scarce material region lacks material region consecutive hours with described second, by the described first scarce material region and institute
It states second and lacks and expect that region is spliced to form splicing regions.
When the described first scarce material region 11 lacks material region 13a consecutive hours with described second, due to the described first scarce material region
11 do not extend into the second boundary of correspondence image, then illustrate what the first scarce material region 11 and the second scarce material region 13a were spliced to form
Splicing regions are the scarce material region shown completely, and the information for directly acquiring and exporting splicing regions, such as boundary may be selected at this time
Location information and dimension information.
Incorporated by reference to Fig. 2, when described first, which lacks material region 12, extends to the second boundary 102 of the present image, storage
First lacks the information in material region 12, and first at this time, which lacks, expects that region 12 can be used as the scarce material region of second prestored in step S4 and carry out
It calls.And when first lacks material region and does not extend to the second boundary of present image, it is known that the first scarce material region is one
The scarce material region completely shown can directly export the described first information for lacking material region, such as boundary position information and size.
Step S6: judge whether splicing regions extend to the second boundary of present image.
Incorporated by reference to Fig. 3 and Fig. 4, described first, which lacks material region 11, lacks the material spliced formation of region 13a with described second
Splicing regions 100 may not extend to the second boundary (and the second boundary 102 of present image) of present image, obtains and exports
The information of the splicing regions.
Incorporated by reference to Fig. 5, the first scarce material region lacks after material region is spliced with described second and forms splicing regions 100a, splice region
Domain 100a extends to the second boundary 102b of present image.
Step S7: the information of the splicing regions is exported.
When the splicing regions do not extend to the second boundary of present image, according to first lack material region 11 information with
Described second lacks the information of material region 13a, can directly acquire the information of splicing regions 100, and export the splicing regions 100
Information, for example 100 boundary position information and dimension information of splicing regions.
When the splicing regions 100a that first lacks material region and the described second scarce material spliced formation in region is extended to currently
When the second boundary 102b of image, the information of splicing regions 100a is stored, for calling in step s 4.
Certainly, it first lacks material region 12 and may also extend to the second boundary of correspondence image just, in next image not
Material region is continuously lacked in the presence of material region 12 is lacked with first, first lacks its scarce material region for actually showing completely of material region 12, this
When can accumulate to first lack material region 12 information exported.
In the application, by can accurately detect the area large scale Que Liao to not showing that complete defect area splices
The information in domain.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.
Claims (10)
1. one kind lacks material detection method, for detecting the scarce material region of battery material, it is characterised in that: the scarce material detection method
Include:
Obtain the present image of battery material；
It identifies the scarce material area type in the present image, obtains the information in the scarce material region；
Judge to lack material region with the presence or absence of first in the scarce material region；
When lacking material region there are described first, judge that described first lacks whether material region connects with the second scarce material region prestored
It is continuous；
Region consecutive hours is expected when the described first scarce material region is lacked with described second, and the described first scarce material region is lacked with described second
Material region is spliced to form splicing regions；
Obtain and export the information of the splicing regions.
2. as described in claim 1 lack material detection method, it is characterised in that: described first, which lacks material region, extends to correspondence image
The first boundary, described second, which lacks material region, extends to the second boundary of correspondence image, the first boundary of the present image with
The second boundary of previous image is disposed adjacent, the scarce material detection method include: by described first lack material region with it is described
After second scarce material region is spliced to form splicing regions,
Judge whether splicing regions extend to the second boundary of present image；
When splicing regions do not extend to the second boundary of present image, the information of the splicing regions is exported；Work as splicing regions
When extending to the second boundary of present image, the information of splicing regions is stored.
3. as claimed in claim 2 lack material detection method, it is characterised in that: it is previous that second prestored, which lacks material region,
The splicing regions that the second of image lacks material region or be spliced to form.
4. the scarce material detection method as described in any one of claims 1 to 3 item, it is characterised in that: described to obtain the splicing
The information in region, comprising:
The information for lacking material region and the second scarce material region according to first, obtains the information of the splicing regions.
5. the scarce material detection method as described in any one of claims 1 to 3 item, it is characterised in that: the letter in the scarce material region
Breath includes the boundary position information for lacking material region.
6. as claimed in claim 2 or claim 3 lack material detection method, it is characterised in that: it is described judgement it is described first lack material region with
Whether second prestored lacks material region continuous, comprising:
Whether the second boundary for judging that the first boundary that first lacks material region lacks material region with described second is overlapped.
7. as claimed in claim 6 lack material detection method, it is characterised in that: first boundary in the described first scarce material region includes
First end point and the second endpoint, the described second the second boundary for lacking material region includes third endpoint and the 4th endpoint,
Whether the second boundary that first boundary for judging that first lacks material region lacks material region with described second is overlapped, comprising:
Whether the coordinate of the coordinate that judges first end point and the third endpoint identical and the coordinate and the described 4th of second endpoint
Whether the coordinate of endpoint is identical.
8. the scarce material detection method as described in any one of claims 1 to 3 item, it is characterised in that: the scarce material detection method
Include:
When lacking material region with the presence or absence of first in judging the scarce material region, judges whether there is second and lack material region and third
Lack material region；
When lacking material region there are second, storage second lacks the information in material region；
When lacking material region there are third, output third lacks the information in material region.
9. as claimed in claim 8 lack material detection method, it is characterised in that: the scarce material detection method includes:
When described first, which lacks material region, extends to the second boundary of the present image, present image and the first area Que Liao are stored
The information in domain.
10. as claimed in claim 8 lack material detection method, it is characterised in that: the scarce material detection method includes: to be in judgement
No there are the first scarce material region, the second scarce material region and thirds to lack after expecting region, classifies to the scarce material region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910371307.5A CN110146508B (en) | 2019-05-06 | 2019-05-06 | Material shortage detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910371307.5A CN110146508B (en) | 2019-05-06 | 2019-05-06 | Material shortage detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110146508A true CN110146508A (en) | 2019-08-20 |
| CN110146508B CN110146508B (en) | 2022-07-22 |
Family
ID=67594838
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910371307.5A Active CN110146508B (en) | 2019-05-06 | 2019-05-06 | Material shortage detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110146508B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202075719U (en) * | 2011-05-19 | 2011-12-14 | 上海科睿展览展示工程科技有限公司 | Multi-channel multi-point touch system |
| CN105044126A (en) * | 2015-07-22 | 2015-11-11 | 瑞安市质量技术监督检测院 | Visual detection system for large-width continuous surface defects |
| CN106570935A (en) * | 2016-09-09 | 2017-04-19 | 北京林业大学 | Vegetation distribution simulation method and apparatus |
-
2019
- 2019-05-06 CN CN201910371307.5A patent/CN110146508B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202075719U (en) * | 2011-05-19 | 2011-12-14 | 上海科睿展览展示工程科技有限公司 | Multi-channel multi-point touch system |
| CN105044126A (en) * | 2015-07-22 | 2015-11-11 | 瑞安市质量技术监督检测院 | Visual detection system for large-width continuous surface defects |
| CN106570935A (en) * | 2016-09-09 | 2017-04-19 | 北京林业大学 | Vegetation distribution simulation method and apparatus |
Non-Patent Citations (1)
| Title |
|---|
| 李新科: ""桥梁拉索表面缺陷图像检测关键技术的研究"", 《中国博士学位论文全文数据库 信息科技辑》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110146508B (en) | 2022-07-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110705405B (en) | Target labeling method and device | |
| CN107179324B (en) | The methods, devices and systems of testing product packaging | |
| CN110705847A (en) | Intelligent substation inspection method and system based on image recognition technology | |
| EP0779592A3 (en) | Automatic method of identifying drop words in a document image without performing OCR | |
| EP1930738A3 (en) | Method for detecting an electrical short condition in a dynamoelectric machine | |
| CN110245539A (en) | A kind of automatic scan code system of Power Material | |
| CN104424632A (en) | Video contrast abnormity detection method and device | |
| CN111783499B (en) | Checkout reminding method and device | |
| CN106503740B (en) | Picture classification method and device | |
| CN110146508A (en) | Lack material detection method | |
| CN104065559B (en) | Mail labeling method and device | |
| CN106920266B (en) | The Background Generation Method and device of identifying code | |
| CN108401085A (en) | A kind of scan method, scanner and scanning system | |
| CN109719056A (en) | A kind of camera module focusing assembly line and its method based on machine vision | |
| CN112102298A (en) | Image recognition method and device, electronic equipment and storage medium | |
| US5447240A (en) | Apparatus for determining whether a sheet is of a first type or a second type | |
| CN109359683B (en) | Target detection method, device, terminal and computer-readable storage medium | |
| JP5788367B2 (en) | Long object number measuring device, long object number measuring method, and computer program | |
| CN109598724A (en) | Cloth label detection recognition method | |
| DE102018126327A1 (en) | Systems and methods for accessory and impedance detection | |
| CN109977825B (en) | Article identification method and apparatus | |
| CN114445627A (en) | Charging gun detection method and device for operation charging pile | |
| CN210324282U (en) | Security check machine quick access and intelligent superposition system | |
| CN102314612A (en) | Method and device for identifying smiling face image and image acquisition equipment | |
| CN111157921A (en) | Detection method and device of wiring terminal, storage medium and processor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |