WO2022205606A1

WO2022205606A1 - Mould processing method and apparatus, electronic device, system, and storage medium

Info

Publication number: WO2022205606A1
Application number: PCT/CN2021/097262
Authority: WO
Inventors: 程鑫; 吉守龙; 张翔; 吴丰礼
Original assignee: 广东拓斯达科技股份有限公司
Priority date: 2021-03-30
Filing date: 2021-05-31
Publication date: 2022-10-06
Also published as: CN113160148A

Abstract

Disclosed in the embodiments of the present application are a mould processing method and apparatus, an electronic device, a system, and a storage medium, the mould processing method comprising: acquiring a template image and an actual measured image of a mould and, on the basis of an insert area of the template image, determining an insert area of the actual measured image; on the basis of the insert area of the template image and the insert area of the actual measured image, determining an abnormal insert area; determining attribute information of the abnormal insert area; and sending the attribute information to a correction device, such that the correction device performs insert correction on the mould on the basis of the attribute information.

Description

Mold processing method, apparatus, electronic device, system and storage medium

This application claims the priority of the Chinese Patent Application No. 202110340045.3 filed with the China Patent Office on March 30, 2021, the entire contents of which are incorporated herein by reference.

technical field

The present application relates to manufacturing technology, for example, to a mold processing method, apparatus, electronic device, system and storage medium.

Background technique

Insert injection molding is a method of pre-fixing the insert in the appropriate position in the mold, and then injecting plastic into the mold. After the mold is opened, the insert is cooled and solidified plastic is tightly embedded in the product to obtain inserts such as threaded rings and electrodes. The method of the product, the insert state of the mold is directly related to the quality of the injection molded product. In the actual production process, the injection molding products may be scrapped due to abnormal states such as missing and misplaced inserts in the mold, and even the mold may be damaged due to the misplacement of the inserts, which will lead to lower production efficiency and increased production costs.

SUMMARY OF THE INVENTION

The present application provides a mold processing method, device, electronic device, system and storage medium, which can improve production efficiency and reduce production cost.

Provide a mold processing method, including:

Obtaining the template image and the measured image of the mold, and determining the insert area of the measured image according to the insert area of the template image;

Determine the abnormal area of the insert according to the insert area of the template image and the insert area of the measured image;

determining the attribute information of the abnormal area of the insert;

The attribute information is sent to a calibration device, so that the calibration device performs insert calibration on the mold according to the attribute information.

Also provided is a mold processing device, comprising:

a first determining module, configured to obtain a template image and an actual measured image of the mold, and to determine the embedded area of the measured image according to the insert area of the template image;

a second determining module, configured to determine an abnormal region of the inlay according to the inlay region of the template image and the inlay region of the measured image;

a third determining module, configured to determine the attribute information of the abnormal region of the insert;

The sending module is configured to send the attribute information to a calibration device, so that the calibration device can perform insert calibration on the mold according to the attribute information.

An electronic device is also provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, when the processor executes the program, the implementation of any of the embodiments of the present application is implemented. The mold processing method described above.

A mold processing system is also provided, including a calibration device and an electronic device for executing the mold processing method described in any embodiment of the present application.

A computer-readable storage medium is also provided, storing a computer program, wherein, when the computer program is executed by a processor, the mold processing method according to any embodiment of the present application is implemented.

Description of drawings

FIG. 1 is a schematic flowchart of a mold processing method provided by an embodiment of the present application.

FIG. 2 is another schematic flowchart of the mold processing method provided by the embodiment of the present application.

FIG. 3 is a schematic structural diagram of a mold processing device provided by an embodiment of the present application.

FIG. 4 is a schematic structural diagram of a mold processing system provided by an embodiment of the present application.

FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The present application will be described below with reference to the accompanying drawings and embodiments. The embodiments described here are only used to explain the present application, but not to limit the present application. For convenience of description, the drawings only show some but not all structures related to the present application.

FIG. 1 is a schematic flowchart of a mold processing method provided by an embodiment of the present application. The method may be executed by a mold processing device provided by an embodiment of the present application, and the device may be implemented in software and/or hardware. In one embodiment, the apparatus may be integrated in an electronic device, for example, the electronic device may be a personal computer (Personal Computer, PC), a tablet computer, a notebook computer, a desktop computer and other electronic devices. The following embodiments will be described by taking the device integrated into an electronic device as an example. Referring to FIG. 1 , the method may include the following steps.

In step 101, a template image and an actual measured image of the mold are acquired, and the insert area of the measured image is determined according to the insert area of the template image.

For example, the mold may be an insert injection mold. In one embodiment, the inserts can be correctly fixed in the mold in advance and the mold can be photographed to obtain a template image of the mold, wherein the inserts correctly fixed in the mold can include one or more inserts. In actual production, the mold can be photographed in real time, and the measured image of the mold can be obtained.

In one embodiment, a manual frame selection method can be used to frame the insert area in the template image, and the frame-selected insert area may be a circle, a rectangle, a polygon, etc., and the frame-selected insert area may include: One or more, an insert area corresponds to an insert that is properly seated in the mold. After the inlay area is framed in the template image, the electronic device may match the inlay area of the template image with the measured image, thereby determining the inlay area of the measured image.

Step 102: Determine the abnormal area of the insert according to the insert area of the template image and the insert area of the measured image.

In one embodiment, the abnormal region of the insert can be determined in the following manner:

(1) Comparing the inlay area of the template image and the inlay area of the measured image to obtain a differential image of the inlay area of the template image and the inlay area of the measured image.

The difference image can show the difference between the inlay area of the template image and the inlay area of the measured image.

(2) Perform regional filtering on the differential image according to the preset grayscale threshold to obtain candidate regions.

For example, the coordinate gray value of the template image corresponding to each pixel in the differential image and the gray value of the measured image coordinate can be obtained. The coordinate gray value of the template image is the gray value of the coordinate position corresponding to the pixel in the embedded area of the template image. value, the gray value of the measured image coordinate is the gray value of the coordinate position corresponding to the pixel point in the embedded area of the measured image, and calculate the difference between the gray value of the template image coordinate corresponding to each pixel point and the gray value of the measured image coordinate , if the difference exceeds the preset grayscale threshold, the area corresponding to the pixel is retained; otherwise, if the difference does not exceed the preset grayscale threshold, the area corresponding to the pixel is filtered out, and the reserved area That is, the candidate area, and the preset grayscale threshold can be adaptively selected.

In one embodiment, if the similarity between the two images is very high, after the difference is performed, the remaining candidate regions will be less; if the similarity between the two images is low and obviously different, after the difference is performed, the remaining candidate regions There will be more areas.

(3) Determine the abnormal area of the insert according to the candidate area.

In one embodiment, the reserved candidate regions are not necessarily all abnormal regions of the insert, and need to be identified and judged. In this embodiment of the present application, a first area threshold may be set, and after a candidate area is obtained, area filtering may be performed on the candidate area based on the first area threshold to obtain an abnormal insert area.

For example, it is possible to determine whether the area of each candidate area is larger than the first area threshold, reserve the candidate area larger than the first area threshold, filter out the candidate area that is not larger than the first area threshold, and the retained candidate area is the insert abnormality area.

Step 103: Determine the attribute information of the abnormal area of the insert.

For example, the attribute information of the insert abnormal area may include type information and location information of the insert abnormal area.

Through a large number of experiments, it can be known that there are two typical abnormal states of the insert, that is, the leakage of the insert and the dislocation. Therefore, in the embodiment of the present application, the type information of the abnormal region of the insert may include the leakage and the dislocation. Leakage and dislocation have characteristics corresponding to leakage and dislocation. Among them, leakage usually shows a large area of anomalies, such as the entire area where the insert is located; while dislocation usually shows a small area of anomaly, such as only the edge area of the insert. abnormal. In the embodiment of the present application, a second area threshold may be set according to these characteristics, and the type of the abnormal area of the insert may be identified by using the second area threshold to obtain type information of the abnormal area of the insert.

For example, it can be determined whether the area of each insert abnormal area is greater than the second area threshold, and the type of the insert abnormal area larger than the second area threshold can be identified as missing, and the type of the insert abnormal area that is not larger than the second area threshold can be identified. Type identification is misplaced.

In one embodiment, the position information of the abnormal area of the insert can be obtained by calculating the center of the abnormal area of the insert. For example, the circumscribing rectangle of the abnormal area of the insert may be determined, the center of the circumscribing rectangle may be used as the center of the abnormal area of the insert, the coordinate information of the center may be obtained, and the coordinate information may be used as the position information of the abnormal area of the insert. In addition, the center of gravity of the abnormal region of the insert can also be determined in some ways, the coordinate information of the center of gravity can be obtained, and the coordinate information can be used as the position information of the abnormal region of the insert, which is not limited here.

Step 104: Send the attribute information to the calibration device, so that the calibration device performs insert calibration on the mold according to the attribute information.

For example, the type information and position information of the abnormal area of the insert may be sent to the correction device, so that the correction device performs insert correction on the mold according to the type information and the position information of the abnormal area of the insert. Wherein, the calibration device may be a manipulator, a robot, etc., which is not limited here.

In a possible implementation manner, the attribute information sent to the calibration device may also be determined according to the number of inserts configured in the mold. For example, when there is only one insert configured in the mold, after determining the attribute information of the abnormal area of the insert, only the type information of the abnormal area of the insert can be sent to the correction device; and when there are multiple inserts configured in the mold, After the attribute information of the abnormal area of the insert is determined, the type information and location information of the abnormal area of the insert may be sent to the correction device.

In the embodiment of the present application, the template image and the measured image of the mold can be acquired, and the insert area of the measured image can be determined according to the insert area of the template image; the insert area of the template image and the measured image can be determined according to the Determine the abnormal area of the insert; determine the attribute information of the abnormal area of the insert; send the attribute information to the calibration device, so that the calibration device can perform insert calibration on the mold according to the attribute information. That is, the embodiment of the present application can automatically detect the insert state of the mold according to the template image and the measured image of the mold and correct the abnormality of the insert, thereby avoiding the problems of product scrapping and mold damage caused by the abnormal state of the insert of the mold, and improving the performance of the mold. Production efficiency, reduce production costs.

The following describes the mold processing method provided by the embodiments of the present application. As shown in FIG. 2 , the mold processing method includes the following steps.

In step 201, a template image of the original size of the mold and an actual measured image of the original size are acquired.

Step 202: Acquire multiple regions of interest framed in the template image of the original size.

In one embodiment, a manual frame selection method can be used to frame a region of interest (ROI) in the template image, and the framed region of interest can be a circle, a rectangle, a polygon, etc. The regions of interest may include one or more regions, and one region of interest corresponds to one insert correctly fixed in the mold, that is, each region of interest is an area containing the insert.

Step 203 , combine multiple interest regions to obtain the embedded region of the template image of the original size.

In one embodiment, when more than one area of interest is framed, multiple areas of interest may be combined to reduce the number of areas and facilitate subsequent processing.

In an embodiment, for example, the minimum circumscribed rectangle of multiple interest regions may be calculated, and the area corresponding to the minimum circumscribed rectangle is determined as the embedded area of the template image of the original size. Among them, the minimum circumscribed rectangle can be calculated by the following formula:

Among them, (ROI.x, ROI.y) represents the coordinates of the upper left corner of the minimum circumscribed rectangle, (roi ₁ .x, roi ₁ .y), (roi _n .x, roi _n .y) represent the first region of interest, respectively The coordinates of the upper left corner and the upper left corner of the nth region of interest, n is an integer greater than or equal to 2, ROI.width represents the width of the smallest bounding rectangle, ROI.height represents the height of the smallest bounding rectangle, and roi _n.width represents the first The width of _n regions of interest, roi n.height represents the height of the nth region of interest.

In an embodiment, before the reducing the original size template image and the original size measured image, the method further includes: determining an inlay area of the original size template image; The embedded area of the template image of the size is filtered and denoised.

Step 204: Perform filtering and noise reduction processing on the embedded region of the template image of the original size.

For example, an adaptive median filter (Adaptive Median Filter) can be used to filter and denoise the embedded area of the template image of the original size. The adaptive median filter can not only filter out the salt and pepper noise with a high probability, but also It can smooth other non-impulsive noises, protect the details in the image as much as possible, and avoid the thinning or coarsening of the image edges.

The adaptive median filter requires a rectangular window S _xy , which differs from the conventional median filter in that the size of this window changes (increases) during the filtering process. The output of the filter is a pixel value that is used to replace the pixel value at the point (x,y) at the center of the filter window.

The following notations are used to describe the adaptive median filter:

Z _min = minimum gray value in S _xy ;

Z _max = maximum gray value in S _xy ;

Z _med = median of pixel values in S _xy ;

Z _xy represents the gray value at the coordinate (x, y);

S _max = maximum window size allowed by S _xy .

The adaptive median filter has two processing procedures, denoted as: A and B respectively.

Step A: The purpose of this step is to determine whether the median Z _med obtained in the current window is noise. Proceed as follows:

Let A ₁ =Z _med -Z _min ;

A ₂ =Z _med -Z _max ;

If A ₁ >0 and A ₂ <0, jump to step B; otherwise, increase the size of the window; if the size of the increased window≤S _max , repeat the process of step A; otherwise, output Z _med .

Step B:

Let B ₁ =Z _xy -Z _min ;

B ₂ =Z _xy -Z _max ;

If B ₁ >0 and B ₂ <0, output Z _xy ; otherwise, output Z _med .

It can be seen from the above steps that the probability of noise occurrence is low, and the adaptive median filter can obtain results faster without increasing the size of the window; on the contrary, the probability of noise occurrence is high, it is necessary to increase the filter size window size.

The embodiments of the present application only use an adaptive median filter as an example for description. In practical applications, other filters may also be used to perform filtering and noise reduction, such as a median filter (Median Filter), which is not limited here.

In an embodiment, the reducing the template image of the original size and the measured image of the original size to obtain the template image of the reduced size and the measured image of the reduced size, including: according to the template of the original size The size relationship between the embedded area of the image and the template image of the original size determines a scaling factor; the template image of the original size is reduced according to the scaling factor to obtain the template image of the reduced size, and according to the scaling factor The scaling factor reduces the actual measured image of the original size to obtain the actual measured image of the reduced size.

Step 205: Determine the scaling factor according to the size relationship between the insert area of the template image of the original size and the template image of the original size.

For example, the scaling factor may be determined according to the width-height relationship between the embedded area of the template image of the original size and the template image of the original size. In one embodiment, the calculation method of the scaling factor may be as follows:

Among them, G represents the scaling factor, src.width represents the width of the embedded area of the template image of the original size, src.height represents the height of the embedded area of the template image of the original size, and dst.width represents the width of the template image of the original size , dst.height represents the height of the original size template image.

i.e. if the width of the insert area of the original size template image is greater than half the width of the original size template image, or the height of the insert area of the original size template image is greater than half the height of the original size template image, the scaling will be performed. The factor is set to 0.25; otherwise, the scaling factor is set to 0.5.

Step 206 , reducing the original size template image according to the scaling factor to obtain a reduced size template image, and reducing the original size measured image according to the scaling factor to obtain a reduced size measured image.

Since the template matching method is used to determine the insert area, the larger the size of the image, the longer the time-consuming and the lower the detection efficiency. Therefore, in the embodiment of the present application, both the template image of the original size and the measured image of the original size can be reduced processing, using small-sized images for template matching to improve the speed of subsequent matching detection.

In one embodiment, the acquiring the template image and the measured image of the mold includes: acquiring the template image of the original size and the measured image of the original size.

The determining of the inlay area of the measured image according to the inlay area of the template image includes: reducing the template image of the original size and the measured image of the original size to obtain the template image of reduced size and the measured image of the original size. A reduced-size measured image; matching the insert area of the reduced-sized template image with the reduced-sized measured image to obtain an insert area of the reduced-sized measured image.

Step 207 , matching the embedded area of the reduced-sized template image with the reduced-sized measured image to obtain the embedded area of the reduced-sized measured image.

In one embodiment, the determining an abnormal area of the insert according to the insert area of the template image and the insert area of the measured image includes: adjusting the insert of the reduced size measured image according to the scaling factor The size reduction process is performed on the area to obtain the insert area of the measured image of the original size; the abnormal area of the insert is determined according to the insert area of the template image of the original size and the insert area of the measured image of the original size .

Step 208 , performing a size reduction process on the embedded area of the reduced-sized measured image according to the scaling factor, to obtain the embedded area of the actual measured image of the original size.

Since the subsequent difference calculation needs to be performed using the original size image, after obtaining the embedded area of the reduced size measured image, the size reduction process can be performed on the embedded area of the reduced size measured image according to the previously used scaling factor. To obtain the inlay area of the measured image of the original size, the following formula can be used for restoration processing:

Among them, P(a,b) is the position coordinate obtained by matching after reducing the size, and P(x,y) is the coordinate in the image that is mapped and restored to the original size.

In an embodiment, the determining the abnormal insert region according to the insert region of the original size template image and the insert region of the original size measured image includes: acquiring the original size template image The difference image of the insert area of the original size and the insert area of the measured image of the original size; the area filter is performed on the difference image according to the preset grayscale threshold to obtain a candidate area; the abnormality of the insert is determined according to the candidate area area.

Step 209: Obtain a difference image of the insert area of the template image of the original size and the insert area of the measured image of the original size.

Step 210: Perform regional filtering on the differential image according to a preset grayscale threshold to obtain a candidate region.

In one embodiment, the following formula can be used to perform regional filtering on the differential image:

Among them, D(x,y) represents the judgment result of the area. When D(x,y)=1, the corresponding area is reserved. When D(x,y)=0, the corresponding area is filtered out, and M(x,y) ) represents the coordinate gray value of the template image, N(x, y) represents the coordinate gray value of the measured image, and T represents the preset gray threshold.

In one embodiment, the determining the abnormal region of the insert according to the candidate region includes: performing regional filtering on the candidate region according to a first area threshold to obtain the abnormal region of the insert.

Step 211: Perform area filtering on the candidate area according to the first area threshold to obtain the abnormal area of the insert.

In one embodiment, since the reserved candidate regions are not necessarily all abnormal regions of the insert, identification and judgment are required. In this embodiment of the present application, a first area threshold may be set, and after a candidate area is obtained, area filtering may be performed on the candidate area based on the first area threshold to obtain an abnormal insert area.

Step 212 , perform type identification on the abnormal area of the insert according to the second area threshold, and obtain the type information of the abnormal area of the insert.

Through a large number of experiments, it can be known that there are two typical abnormal states of the insert, that is, the leakage of the insert and the dislocation. Therefore, in the embodiment of the present application, the type information of the abnormal region of the insert may include the leakage and the dislocation. Leakage and dislocation have characteristics corresponding to leakage and dislocation. Among them, leakage usually shows a large area of anomalies, such as the entire area where the insert is located; while dislocation usually shows a small area of anomaly, such as only the edge area of the insert. abnormal. In this embodiment of the present application, a second area threshold may be set according to these features, and the type of the abnormal area of the insert may be identified by using the second area threshold to obtain type information of the abnormal area of the insert.

Step 213: Calculate the center of the abnormal area of the insert to obtain the position information of the abnormal area of the insert.

Step 214 , sending the type information and position information of the abnormal area of the insert to the correction device, so that the correction device performs insert correction on the mold according to the type information and the position information of the abnormal area of the insert.

For example, the correction device may be a manipulator, a robot, etc., which is not limited here.

Although a plurality of steps in the flowchart of FIG. 2 are shown in sequence according to the arrows, these steps are not necessarily executed in the sequence shown by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and these steps may be performed in other orders. Moreover, at least a part of the steps in FIG. 2 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed and completed at the same time, but may be executed at different times. The execution of these sub-steps or stages The sequence is also not necessarily sequential, but may be performed alternately or alternately with other steps or sub-steps of other steps or at least a portion of a phase.

FIG. 3 is a schematic structural diagram of a mold processing device provided by an embodiment of the present application, and the device is suitable for executing the mold processing method provided by the embodiment of the present application. As shown in Figure 3, the apparatus may include the following modules.

The first determination module 301 is configured to obtain a template image and an actual measured image of the mold, and to determine the embedded area of the actual measured image according to the embedded area of the template image;

The second determining module 302 is configured to determine the abnormal area of the insert according to the insert area of the template image and the insert area of the measured image;

The third determining module 303 is configured to determine the attribute information of the abnormal region of the insert;

The sending module 304 is configured to send the attribute information to a calibration device, so that the calibration device performs insert calibration on the mold according to the attribute information.

In one embodiment, the first determination module 301 obtains the template image and the measured image of the mold, including:

Obtain the template image of the original size and the measured image of the original size;

The determining of the inlay area of the measured image according to the inlay area of the template image includes:

performing reduction processing on the template image of the original size and the measured image of the original size to obtain the template image of the reduced size and the measured image of the reduced size;

Matching the inlay area of the reduced-sized template image with the reduced-sized measured image to obtain the reduced-sized inlaid area of the measured image.

In an embodiment, the first determining module 301 performs reduction processing on the template image of the original size and the measured image of the original size, to obtain the template image of the reduced size and the measured image of the reduced size, including :

determining a scaling factor according to the size relationship between the insert region of the template image of the original size and the template image of the original size;

The template image of the original size is reduced according to the scaling factor to obtain the template image of reduced size, and the actual measured image of the original size is reduced according to the scaling factor to obtain the reduced size of the template image. Measured image.

In one embodiment, the device further includes:

a fourth determining module, configured to determine the insert area of the template image of the original size;

A noise reduction module, configured to perform filtering and noise reduction processing on the embedded region of the template image of the original size.

In one embodiment, the fourth determining module determines the insert area of the template image in the original size, including:

acquiring multiple regions of interest framed in the template image of the original size;

The multiple interest regions are merged to obtain the embedded region of the template image in the original size.

In one embodiment, the second determining module 302 determines the abnormal area of the insert according to the insert area of the template image and the insert area of the measured image, including:

Perform size reduction processing on the embedded area of the reduced size of the measured image according to the scaling factor, to obtain the original size of the embedded area of the measured image;

The abnormal area of the insert is determined according to the insert area of the template image of the original size and the insert area of the measured image of the original size.

In one embodiment, the second determining module 302 determines the abnormal insert area according to the insert area of the template image of the original size and the insert area of the measured image of the original size, including:

obtaining a differential image of the insert area of the template image of the original size and the insert area of the measured image of the original size;

Perform regional filtering on the differential image according to a preset grayscale threshold to obtain a candidate region;

The insert abnormal area is determined according to the candidate area.

In one embodiment, the second determining module 302 determines the abnormal region of the insert according to the candidate region, including:

Area filtering is performed on the candidate area according to the first area threshold to obtain the abnormal area of the insert.

In one embodiment, the third determining module 303 determines the attribute information of the abnormal region of the insert, including:

Perform type identification on the abnormal area of the insert according to the second area threshold, and obtain the type information of the abnormal area of the insert;

The center of the abnormal area of the insert is calculated to obtain the position information of the abnormal area of the insert.

In an embodiment, the sending module 304 sends the attribute information to the correction device, including:

The type information and location information of the abnormal area of the insert are sent to the correction device.

For the convenience and simplicity of description, only the division of the above-mentioned multiple functional modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional modules as required, that is, the internal structure of the device is divided into different functional modules. , to complete all or part of the functions described above. For the working processes of the functional modules described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described herein again.

The device of the embodiment of the present application can acquire the template image and the measured image of the mold, and determine the insert area of the measured image according to the insert area of the template image; according to the insert area of the template image and the measured image The insert area of the image determines the insert abnormal area; determines the attribute information of the insert abnormal area; sends the attribute information to the correction device, so that the correction device performs insert correction on the mold according to the attribute information . That is, the embodiment of the present application can automatically detect the insert state of the mold according to the template image and the measured image of the mold and correct the abnormality of the insert, thereby avoiding the problems of product scrapping and mold damage caused by the abnormal state of the insert of the mold, and improving the performance of the mold. Production efficiency, reduce production costs.

Embodiments of the present application further provide an electronic device, including a memory, a processor, and a computer program stored on the memory and running on the processor, where the processor implements any of the above when executing the program The mold processing method provided by the embodiment.

An embodiment of the present application further provides a computer-readable medium storing a computer program, and when the program is executed by a processor, the mold processing method provided by any of the foregoing embodiments is implemented.

FIG. 4 shows an exemplary architecture of a mold processing system according to an embodiment of the present application. As shown in FIG. 4 , the mold processing system includes an electronic device 401 and a calibration device 402. The electronic device 401 may be the electronic device described in the previous embodiments. For the interaction process between the electronic device 401 and the calibration device 402, reference may be made to the descriptions of the previous embodiments, and details are not repeated here.

Referring to FIG. 5 below, a schematic structural diagram of a computer system 500 suitable for implementing the electronic device of the embodiment of the present application is shown. The electronic device shown in FIG. 5 is only an example, and should not impose any limitations on the functions and scope of use of the embodiments of the present application.

As shown in FIG. 5 , the computer system 500 includes a central processing unit (Central Processing Unit, CPU) 501, and the CPU 501 can be loaded into the computer according to a program stored in a read-only memory (Read-only Memory, ROM) 502 or from a storage part 508 A program in Random Access Memory (RAM) 503 performs various appropriate actions and processes. In the RAM 503, various programs and data required for the operation of the system 500 are also stored. The CPU 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An Input/Output (I/O) interface 505 is also connected to the bus 504 .

The following components are connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc. ; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a local area network (Local Area Network, LAN) card, a modem, and the like. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 510 as needed so that a computer program read from the drive 510 is installed into the storage section 508 as needed.

According to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments disclosed herein include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from the network via the communication portion 509 and/or installed from the removable medium 511 . When the computer program is executed by the CPU 501, the above-described functions defined in the system of the present application are executed.

The computer-readable medium shown in this application may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. Computer readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, RAM, ROM, Erasable Programmable Read-Only Memory (EPROM), Flash memory, optical fiber, portable Compact Disc Read-Only Memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this application, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device . The program code embodied on the computer readable medium may be transmitted by any suitable medium, including but not limited to: wireless, wire, optical fiber cable, radio frequency (RF), etc., or any suitable combination of the above.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logical functions for implementing the specified functions executable instructions. In some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams or flowchart illustrations, and combinations of blocks in the block diagrams or flowchart illustrations, can be implemented in special purpose hardware-based systems that perform the specified functions or operations, or can be implemented using A combination of dedicated hardware and computer instructions is implemented.

The modules and/or units involved in the embodiments of the present application may be implemented in a software manner, and may also be implemented in a hardware manner. The described modules and/or units may also be provided in a processor, for example, it may be described as: a processor includes a first determination module, a second determination module, a third determination module and a sending module. Among them, the names of these modules do not constitute a limitation on the module itself under certain circumstances.

As another aspect, the present application also provides a computer-readable medium. The computer-readable medium may be included in the device described in the above embodiments, or may exist alone without being assembled into the device. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by a device, the device includes: acquiring a template image and an actual measurement image of the mold, and inserting an insert according to the template image. The area determines the insert area of the measured image; determines the insert abnormal area according to the insert area of the template image and the insert area of the measured image; determines the attribute information of the insert abnormal area; sends it to the calibration device the attribute information, so that the calibration device performs insert calibration on the mold according to the attribute information.

According to the technical solutions of the embodiments of the present application, the template image and the measured image of the mold can be obtained, and the insert area of the measured image can be determined according to the insert area of the template image; The insert area of the measured image determines the insert abnormal area; determines the attribute information of the insert abnormal area; sends the attribute information to the calibration device, so that the calibration device can insert the mold according to the attribute information. piece correction. That is, the embodiment of the present application can automatically detect the insert state of the mold according to the template image and the measured image of the mold and correct the abnormality of the insert, thereby avoiding the problems of product scrapping and mold damage caused by the abnormal state of the insert of the mold, and improving the performance of the mold. Production efficiency, reduce production costs.

Claims

A mold processing method, comprising:

Obtaining the template image and the measured image of the mold, and determining the insert area of the measured image according to the insert area of the template image;

Determine the abnormal area of the insert according to the insert area of the template image and the insert area of the measured image;

determining the attribute information of the abnormal area of the insert;

The attribute information is sent to a calibration device, so that the calibration device performs insert calibration on the mold according to the attribute information.
The method according to claim 1, wherein the acquiring the template image and the measured image of the mold comprises:

Obtain the original size template image and the original size measured image;

The determining of the inlay area of the measured image according to the inlay area of the template image includes:

The template image of the original size and the measured image of the original size are reduced to obtain the template image of the reduced size and the measured image of the reduced size;

Matching the embedded region of the reduced-size template image with the reduced-size measured image to obtain the embedded region of the reduced-sized measured image.
The method according to claim 2, wherein the reducing the template image of the original size and the measured image of the original size to obtain the template image of the reduced size and the measured image of the original size, comprising:

determining a scaling factor according to the size relationship between the insert area of the original size template image and the original size template image;

The original-sized template image is reduced according to the scaling factor to obtain the reduced-sized template image, and the original-sized measured image is reduced according to the scaling factor to obtain the reduced-sized template image. Measured image.
The method according to claim 2, wherein before the reducing the template image of the original size and the measured image of the original size, the method further comprises:

determining an inset region of the original size template image;

Filtering and noise reduction processing is performed on the embedded region of the template image of the original size.
5. The method of claim 4, wherein said determining an inset area of the original size template image comprises:

acquiring multiple regions of interest framed in the template image of the original size;

The multiple interest regions are merged to obtain the embedded region of the template image of the original size.
The method according to claim 3, wherein the determining the abnormal region of the inlay according to the inlay region of the template image and the inlay region of the measured image comprises:

Perform size reduction processing on the embedded area of the reduced-size measured image according to the scaling factor, to obtain the embedded area of the original-sized measured image;

The abnormality area of the insert is determined according to the insert area of the template image of the original size and the insert area of the measured image of the original size.
The method according to claim 6, wherein the determining the abnormal insert area according to the insert area of the template image of the original size and the insert area of the measured image of the original size comprises:

obtaining a differential image of the insert area of the template image of the original size and the insert area of the measured image of the original size;

Perform regional filtering on the differential image according to a preset grayscale threshold to obtain a candidate region;

The insert abnormal area is determined according to the candidate area.
The method according to claim 7, wherein the determining the abnormal region of the insert according to the candidate region comprises:

Area filtering is performed on the candidate area according to the first area threshold to obtain the abnormal area of the insert.
The method according to any one of claims 1 to 8, wherein the determining the attribute information of the abnormal region of the insert comprises:

Perform type identification on the abnormal area of the insert according to the second area threshold, and obtain the type information of the abnormal area of the insert;

The center of the abnormal area of the insert is calculated to obtain the position information of the abnormal area of the insert.
The method according to claim 9, wherein the sending the attribute information to the correction device comprises:

The type information and location information of the abnormal area of the insert are sent to the correction device.
A mold processing device, comprising:

a first determining module, configured to obtain a template image and an actual measured image of the mold, and to determine the embedded area of the measured image according to the insert area of the template image;

a second determining module, configured to determine an abnormal region of the inlay according to the inlay region of the template image and the inlay region of the measured image;

a third determining module, configured to determine the attribute information of the abnormal region of the insert;

The sending module is configured to send the attribute information to a calibration device, so that the calibration device can perform insert calibration on the mold according to the attribute information.
An electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the computer program as claimed in claims 1 to 10 when the processor executes the computer program The mold processing method of any one.
A mold processing system comprising a calibration device and an electronic device for performing the mold processing method of any one of claims 1 to 10.
A computer-readable storage medium storing a computer program, wherein the computer program implements the mold processing method according to any one of claims 1 to 10 when the computer program is executed by a processor.