CN113758426A - Method and device for determining width of cloth, electronic equipment and readable storage medium - Google Patents
Method and device for determining width of cloth, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN113758426A CN113758426A CN202110944795.1A CN202110944795A CN113758426A CN 113758426 A CN113758426 A CN 113758426A CN 202110944795 A CN202110944795 A CN 202110944795A CN 113758426 A CN113758426 A CN 113758426A
- Authority
- CN
- China
- Prior art keywords
- image data
- cloth
- determining
- pieces
- detection
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
Abstract
The embodiment of the application provides a method and a device for determining the width of cloth, electronic equipment and a readable storage medium, wherein the method comprises the following steps: acquiring images of the cloth through N camera devices; wherein N is an integer greater than 0; determining N first image data acquired by the N camera devices at the same time; and accumulating the widths of the N pieces of cloth in the N pieces of first image data to obtain the width of the cloth. Through this application, solved among the prior art through the sensor still artificial mode, its detection efficiency and the degree of accuracy of breadth all compare the lower problem.
Description
Technical Field
The present disclosure relates to the field of cloth detection technologies, and in particular, to a method and an apparatus for determining a width of a cloth, an electronic device, and a readable storage medium.
Background
In conventional industrial field application, the measurement of the width of the cloth is usually performed by a sensor or a manual mode. However, the detection efficiency and accuracy of the width are low whether the method is a sensor or an artificial method.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for determining a width of a piece of cloth, an electronic device, and a readable storage medium, so as to solve the problem that the detection efficiency and accuracy of the width are relatively low in the prior art, through a sensor or an artificial manner. The specific technical scheme is as follows:
in a first aspect of the present application, there is provided a method for determining a width of a cloth, including: acquiring images of the cloth through N camera devices; wherein N is an integer greater than 0; determining N first image data acquired by the N camera devices at the same time; and accumulating the widths of the N pieces of cloth in the N pieces of first image data to obtain the width of the cloth.
In a second aspect of this application, there is also provided a device for determining a width of a cloth, including: the acquisition module is used for acquiring images of the cloth through the N camera devices; wherein N is an integer greater than 0; the determining module is used for determining N first image data acquired by the N camera devices at the same time; and the accumulation module is used for accumulating the widths of the N pieces of cloth in the N pieces of first image data to obtain the width of the cloth.
In yet another aspect of the present application implementation, there is also provided a computer-readable storage medium having stored therein instructions, which when executed on a computer, cause the computer to execute any one of the above-described methods for determining a width of a cloth.
In yet another aspect of this embodiment, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the above-described methods of determining a width of a cloth.
In the application, the N image pickup devices can be used for carrying out image acquisition on the cloth, so that N pieces of first image data acquired by the N image pickup devices at the same time are determined, and the widths of N pieces of cloth in the N pieces of first image data are accumulated to obtain the width of the cloth; it is thus clear that can carry out image acquisition to cloth through N camera device in this application to determine cloth breadth from image data, the breadth that obtains is compared in artifical or sensor more accurate, and the efficiency that detects the breadth moreover is higher, thereby has solved among the prior art through sensor still artificial mode, the detection efficiency and the degree of accuracy of its breadth all than the lower problem.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a flow chart of a method for determining a width of a piece of cloth according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a device for measuring the width of a cloth in an embodiment of the present application;
FIG. 3 is a flowchart of a method for measuring a width of a cloth in an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a device for determining the width of a cloth in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
The embodiment of the application provides a method for determining the width of cloth, as shown in fig. 1, the method comprises the following steps:
102, acquiring images of the cloth through N camera devices; wherein N is an integer greater than 0;
it should be noted that the image capturing apparatus in the embodiment of the present application may be a camera or other devices with a camera.
104, determining N first image data acquired by N camera devices at the same time;
and 106, accumulating the widths of the N pieces of cloth in the N pieces of first image data to obtain the width of the cloth.
Through the steps 102 to 106, the N image capturing devices can be used for image acquisition on the cloth, so that N first image data acquired by the N image capturing devices at the same time are determined, and the widths of the N cloth in the N first image data are accumulated to obtain the width of the cloth; it is thus clear that can carry out image acquisition to cloth through N camera device in this application to determine cloth breadth from image data, the breadth that obtains is compared in artifical or sensor more accurate, and the efficiency that detects the breadth moreover is higher, thereby has solved among the prior art through sensor still artificial mode, the detection efficiency and the degree of accuracy of its breadth all than the lower problem.
In an optional implementation manner of the embodiment of the present application, the determining, in step 104, the N first image data acquired by the N image capturing devices at the same time may further include:
step 11, determining N pieces of third image data from N pieces of second image data acquired by N camera devices, wherein the second image data comprises a cloth area and a non-cloth area; the third image data includes a cloth region;
the non-cloth area in step 11 refers to an edge area in the captured image data, because the image captured by the image capturing device is generally larger than the actual width of the cloth, the area that is not the cloth needs to be deleted from the image data, that is, the edge area of the cloth needs to be removed for accurate detection of the subsequent defect.
The non-cloth area (edge area) is generated because the cloth shields the light source when the image pickup device picks up the cloth image, and for the image pickup device, a relatively bright area in the picked-up image is an area which is not blocked by the cloth, and the non-cloth area (edge area) is provided.
And 12, under the condition that the judgment result is yes, determining N pieces of first image data acquired at the same time from the N pieces of third image data.
In step 11 and step 12, taking the image capturing device as a camera and N is 3 as an example, the camera 1, the camera 2, and the camera 3 capture images of the piece of cloth to obtain image data 1 (second image data), image data 2 (second image data), and image data 3 (second image data), respectively. Since the acquired image is generally larger than the actual width of the cloth, and the edge area of the cloth needs to be removed, the image data 1, the image data 2, and the image data 3 are respectively subjected to edge removing processing to obtain image data 4 (corresponding to the image data 1), image data 5 (corresponding to the image data 2), and image data 6 (corresponding to the image data 3). It should be noted that the image data 4, the image data 5, and the image data 6 all include multi-frame image data, that is, image data collected by the cameras 1, 2, and 3 at the same time is needed to ensure that the width of the obtained cloth is accurate.
In an optional implementation manner of the embodiment of the present application, regarding the manner of determining the N first image data acquired at the same time from the N third image data in step 12 above, the method may further include:
step 21, performing defect detection on the N third image data;
and step 22, determining the N first image data collected at the same moment from the N third image data under the condition that the defects in the N third image data are not matched with the preset defects or the N third image data are detected to have no defects.
In the embodiment of the present application, the cloth defect detection is performed to determine whether there is a defect affecting the width calculation, in a specific example, the defect may be a defect that the cloth has a wrinkle, a breakage, a defect, and the like, which have a large influence on the width of the cloth, and the wrinkle, the breakage, and the defect are merely examples, and other defects having a large influence on the width of the cloth are also within the protection scope of the embodiment of the present application, and the preset defect may be set according to an actual situation. That is to say, in the embodiment of the present application, the N first image data at the same time are image data that do not have the preset defect, so that the width of the finally obtained cloth can be accurate.
In another optional implementation manner of the embodiment of the present application, the method for performing defect detection on the N third image data mentioned in the above 21 may further include:
step 31, determining the width and the width of the cloth in the N third image numbers;
step 32, determining whether the cloth has defects or not based on the width and the width;
and step 33, classifying the defects when the cloth has the defects.
For the above steps 31 to 33, in an example, the image capturing device is a camera, and N is 3, that is, the camera 1, the camera 2, and the camera 3 capture images of the cloth, so as to obtain the width and the length of the cloth in the 3 third image numbers, and if the width of the third image data at a certain time is different from the widths of the image data at the next several times, it indicates that the cloth in the image data corresponding to the certain time has a defect, and the defect may be determined by a user or a server after the data is transmitted to the server. In addition, the classification is performed to determine which defects are defects having a large influence on the width ratio, the width of the image data corresponding to the defects cannot be determined, and some defects have a small or no influence on the width, such as small holes in the cloth, differences in the color of the cloth, and the like.
In an optional implementation manner of the embodiment of the present application, the N third image data may be subjected to defect detection based on at least one of the following detection manners:
1) a first detection mode, wherein the first detection mode is continuous detection after receiving a detection instruction;
for the first detection mode, namely the detection is continuously carried out after the detection instruction is received, the detection mode can determine the width of more areas of the cloth.
2) A second detection mode, wherein the second detection mode is a periodic detection based on a preset period;
for the second detection mode, the detection cost can be reduced through periodic detection, and meanwhile, the detected cloth width can be more comprehensive.
3) A third detection mode, wherein the third detection mode is to detect the preset length of the cloth;
for the third detection mode, the detection can be carried out at the preset length of the cloth according to the requirement, namely, the detection can be carried out according to the requirement.
4) And a fourth detection mode, wherein the fourth detection mode is to execute the detection operation once after receiving the detection instruction.
If the detection is only needed once, the detection can be realized based on a fourth detection mode without multiple detections, so that the detection cost is saved and the detection efficiency is improved.
The present application is explained below with reference to specific embodiments of examples of the present application, which provide a cloth width measuring apparatus, as shown in fig. 2, comprising: a camera 202, a cloth edge detection module 204, a cloth defect detection module 206, a cloth width detection module 208, and a cloth effective width calculation module 210. Based on fig. 2, an embodiment of the present application provides a method for measuring a width of a cloth, as shown in fig. 3, the method includes the steps of:
in step 301, a plurality of cameras 202 capture images of the cloth, and then send the captured images to the cloth edge detection module 204 for processing.
In step 303, the piece goods defect detecting module 206 determines the received piece goods image.
Wherein, whether the defect exists is judged, and the defect is classified. The module transmits the width, height and defect type of the effective cloth to the cloth effective width calculation module. Let the cloth effective width be: clock _ window _ valid _ n.
In step 304, the cloth width detection module 208 sends a detection command to the cloth effective width calculation module 210 according to the parameters configured by the user.
The detection can be carried out in the following ways in specific embodiments: the method comprises the steps of constant detection, timing detection (detecting the width of the cloth according to a time period), fixed-length detection (starting to detect the width of the cloth at different lengths of the cloth), and immediate detection (issuing a detection command and immediately detecting the width of the cloth once).
In step 305, the cloth effective width calculation module 210 receives a cloth width detection command from the start cloth width detection module 208 and receives effective cloth width and height, defect type information from the cloth defect detection module.
and 307, starting to detect the effective width of the cloth for the pictures collected at the same time in the pictures collected by the plurality of cameras. The cloth effective width calculation module 210 may accumulate all the received cloth effective widths, i.e., the cloth _ width _ valid _ all is the same as the cloth _ width _ valid _1+ the cloth _ width _ valid _2+ - + the cloth _ width _ valid _ N;
it should be noted that if the pictures collected at different times need to wait until the pictures are at the same time, then the detection of the effective width of the cloth is started. The clock _ window _ valid _ all refers to the effective width of the cloth; the clock _ window _ valid _1 refers to the effective width of the image part acquired by the camera 1; the clock _ window _ valid _2 refers to the effective width of the image part captured by the camera 2; clock _ window _ valid _ N: the effective width of the image portion captured by the camera N.
Through above-mentioned step 201 to step 207, can carry out image acquisition to cloth through a plurality of cameras to carry out edge removal to the image data who gathers and handle, confirm a plurality of breadth that do not exist in the picture that influences cloth breadth defect that a plurality of cameras gathered at the same moment at last and add up, obtain the breadth of cloth, it is more accurate to compare in manual work or sensor, and the efficiency of detecting the breadth is higher moreover.
Corresponding to fig. 1, an embodiment of the present application further provides a device for determining a width of a cloth, as shown in fig. 4, the device includes:
the acquisition module 42 is used for acquiring images of the cloth through the N camera devices; wherein N is an integer greater than 0;
the determining module 44 is configured to determine N first image data acquired by the N image capturing devices at the same time;
and the accumulation module 46 is configured to accumulate the widths of the N pieces of cloth in the N pieces of first image data to obtain the width of the piece of cloth.
Optionally, the determining module 44 in this embodiment of the present application further may include: the device comprises a first determining unit, a second determining unit and a third determining unit, wherein the first determining unit is used for determining N pieces of third image data from N pieces of second image data acquired by N camera devices, and the second image data comprises a cloth area and a non-cloth area; the third image data includes a cloth region; and the second determining unit is used for determining the N pieces of first image data acquired at the same moment from the N pieces of third image data under the condition that the judgment result is yes.
By the device, the N camera devices can be used for acquiring images of the cloth, so that N pieces of first image data acquired by the N camera devices at the same time are determined, and N cloth widths in the N pieces of first image data are accumulated to obtain the cloth width; it is thus clear that can carry out image acquisition to cloth through N camera device in this application to determine cloth breadth from image data, the breadth that obtains is compared in artifical or sensor more accurate, and the efficiency that detects the breadth moreover is higher, thereby has solved among the prior art through sensor still artificial mode, the detection efficiency and the degree of accuracy of its breadth all than the lower problem.
Optionally, the second determining unit in this embodiment of the application includes: a detection subunit, configured to perform defect detection on the N third image data; and the determining subunit is used for determining the N pieces of first image data acquired at the same moment from the N pieces of third image data under the condition that the detected defects in the N pieces of third image data are not matched with the preset defects or the N pieces of third image data are not detected to have defects.
Optionally, the detecting subunit in this embodiment of the present application includes: the first determining unit is used for determining the width and the length of the cloth in the N third image numbers; the second determining unit is used for determining whether the cloth has defects or not based on the width and the length; and the detection grandchild unit is used for classifying the defects under the condition that the cloth has the defects.
Optionally, in this embodiment of the application, the defect detection is performed on the N third image data based on at least one of the following detection modes: a first detection mode, wherein the first detection mode is continuous detection after receiving a detection instruction; a second detection mode, wherein the second detection mode is a periodic detection based on a preset period; a third detection mode, wherein the third detection mode is to detect the preset length of the cloth; and a fourth detection mode, wherein the fourth detection mode is to execute the detection operation once after receiving the detection instruction.
The embodiment of the present application further provides an electronic device, as shown in fig. 5, which includes a processor 501, a communication interface 502, a memory 503 and a communication bus 504, wherein the processor 501, the communication interface 502 and the memory 503 complete mutual communication through the communication bus 504,
a memory 503 for storing a computer program;
the processor 501, when configured to execute the program stored in the memory 503, implements the following method steps in fig. 1, and the functions are similar, which are not described herein again.
The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The communication interface is used for communication between the terminal and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In yet another embodiment provided by the present application, a computer-readable storage medium is further provided, which has instructions stored therein, and when the instructions are executed on a computer, the instructions cause the computer to execute the method for determining a width of a piece of cloth described in any one of the above embodiments.
In a further embodiment provided by the present application, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of determining a width of a cloth as described in any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.
Claims (10)
1. A method for determining the width of cloth is characterized by comprising the following steps:
acquiring images of the cloth through N camera devices; wherein N is an integer greater than 0;
determining N first image data acquired by the N camera devices at the same time;
and accumulating the widths of the N pieces of cloth in the N pieces of first image data to obtain the width of the cloth.
2. The method of claim 1, wherein the determining the N first image data acquired by the N cameras at the same time comprises:
determining N pieces of third image data from N pieces of second image data acquired by the N camera devices, wherein the second image data comprise a cloth area and a non-cloth area; the third image data includes the cloth region;
and if the judgment result is yes, determining the N pieces of first image data acquired at the same moment from the N pieces of third image data.
3. The method of claim 2, wherein said determining the N first image data acquired at the same time from the N third image data comprises:
performing defect detection on the N third image data;
and under the condition that the defects in the N pieces of third image data are not matched with preset defects or the N pieces of third image data are detected to have no defects, determining the N pieces of first image data acquired at the same moment from the N pieces of third image data.
4. The method of claim 3, wherein the performing defect detection on the N third image data comprises:
determining the width and the length of the cloth in the N third image numbers;
determining whether the cloth has defects based on the width and the length;
in the case of a defect in the cloth, the defect is classified.
5. The method according to claim 3, wherein the N third image data are defect-detected based on at least one of the following detection modes:
a first detection mode, wherein the first detection mode is continuous detection after receiving a detection instruction;
a second detection mode, wherein the second detection mode is a periodic detection based on a preset period;
a third detection mode, wherein the third detection mode is to detect the preset length of the cloth;
and a fourth detection mode, wherein the fourth detection mode is to execute the detection operation once after receiving the detection instruction.
6. A device for determining the width of a piece of cloth, comprising:
the acquisition module is used for acquiring images of the cloth through the N camera devices; wherein N is an integer greater than 0;
the determining module is used for determining N first image data acquired by the N camera devices at the same time;
and the accumulation module is used for accumulating the widths of the N pieces of cloth in the N pieces of first image data to obtain the width of the cloth.
7. The apparatus of claim 6, wherein the determining module comprises:
the first determining unit is used for determining N pieces of third image data from N pieces of second image data acquired by the N image pick-up devices, wherein the second image data comprise a cloth area and a non-cloth area; the third image data includes the cloth region;
and the second determining unit is used for determining the N pieces of first image data acquired at the same moment from the N pieces of third image data under the condition that the judgment result is yes.
8. The apparatus according to claim 7, wherein the second determining unit comprises:
a detection subunit, configured to perform defect detection on the N third image data;
the determining subunit is configured to determine, when it is detected that a defect in the N third image data does not match a preset defect, or it is detected that the N third image data has no defect, the N first image data acquired at the same time from the N third image data.
9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of claims 1 to 5 when executing a program stored in the memory.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110944795.1A CN113758426A (en) | 2021-08-17 | 2021-08-17 | Method and device for determining width of cloth, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110944795.1A CN113758426A (en) | 2021-08-17 | 2021-08-17 | Method and device for determining width of cloth, electronic equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113758426A true CN113758426A (en) | 2021-12-07 |
Family
ID=78790206
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110944795.1A Pending CN113758426A (en) | 2021-08-17 | 2021-08-17 | Method and device for determining width of cloth, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113758426A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003042756A (en) * | 2001-07-27 | 2003-02-13 | Teijin Ltd | Wrinkle detecting method for film and manufacturing method for film using the same |
| WO2006137385A1 (en) * | 2005-06-21 | 2006-12-28 | Gunze Limited | Film inspection apparatus and method |
| CN101221040A (en) * | 2007-01-11 | 2008-07-16 | 宝山钢铁股份有限公司 | Steel bar plate dimensional measurement method and device |
| CN109489566A (en) * | 2018-11-07 | 2019-03-19 | 广州超音速自动化科技股份有限公司 | Lithium battery diaphragm material cuts checking method for width, detection system and device |
| CN110223309A (en) * | 2019-05-20 | 2019-09-10 | 深圳新视智科技术有限公司 | Edge detection method, device, computer equipment and storage medium |
| CN111862189A (en) * | 2020-07-07 | 2020-10-30 | 北京海益同展信息科技有限公司 | Body size information determination method, body size information determination device, electronic equipment and computer readable medium |
-
2021
- 2021-08-17 CN CN202110944795.1A patent/CN113758426A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003042756A (en) * | 2001-07-27 | 2003-02-13 | Teijin Ltd | Wrinkle detecting method for film and manufacturing method for film using the same |
| WO2006137385A1 (en) * | 2005-06-21 | 2006-12-28 | Gunze Limited | Film inspection apparatus and method |
| CN101221040A (en) * | 2007-01-11 | 2008-07-16 | 宝山钢铁股份有限公司 | Steel bar plate dimensional measurement method and device |
| CN109489566A (en) * | 2018-11-07 | 2019-03-19 | 广州超音速自动化科技股份有限公司 | Lithium battery diaphragm material cuts checking method for width, detection system and device |
| CN110223309A (en) * | 2019-05-20 | 2019-09-10 | 深圳新视智科技术有限公司 | Edge detection method, device, computer equipment and storage medium |
| CN111862189A (en) * | 2020-07-07 | 2020-10-30 | 北京海益同展信息科技有限公司 | Body size information determination method, body size information determination device, electronic equipment and computer readable medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2010076882A1 (en) | Image classification standard update method, program, and image classification device | |
| US20090202172A1 (en) | Image Inspection Apparatus, Image Inspection Method and Computer Program | |
| CN112689100B (en) | Image detection method, device, equipment and storage medium | |
| JP5347845B2 (en) | Image processing program and image processing apparatus | |
| CN111445467A (en) | Lighting defect detection method and device, electronic equipment and storage medium | |
| CN108921840A (en) | Display screen peripheral circuit detection method, device, electronic equipment and storage medium | |
| JP6616906B1 (en) | Detection device and detection system for defective photographing data | |
| CN114581445B (en) | Sectional detection method, system and equipment for dispensing products and storage medium | |
| CN116519707A (en) | Lithium battery defect detection method and device based on machine vision and electronic equipment | |
| CN113758426A (en) | Method and device for determining width of cloth, electronic equipment and readable storage medium | |
| CN111369492A (en) | Display screen detection method, detection device and detection system | |
| CN113723467A (en) | Sample collection method, device and equipment for defect detection | |
| JP6643441B1 (en) | Photographic inspection support apparatus and its program | |
| CN113673454A (en) | Remnant detection method, related device, and storage medium | |
| CN111126147A (en) | Image processing method, device and electronic system | |
| JP2021051381A (en) | Attached matter detection device and attached matter detection method | |
| CN115661475A (en) | Image foreign matter identification method, device, equipment and storage medium | |
| JP2000036033A (en) | Brightness/darkness inspecting device/method | |
| JP7417426B2 (en) | Anomaly detection device and anomaly detection method | |
| JPH057363A (en) | Picture monitoring device | |
| CN112422959A (en) | Lens pollution detection method, system, equipment and storage medium | |
| CN111079466A (en) | Vehicle identification method and device, electronic equipment and storage medium | |
| TW201312477A (en) | Method for recognizing camera lens | |
| JP7279755B2 (en) | Information processing device, information processing system, control method, and program | |
| JP6939855B2 (en) | Information processing equipment, information processing systems, control methods, and programs |
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 |