CN111275664B - Screening method, device, equipment and storage medium of porosity test block - Google Patents
Screening method, device, equipment and storage medium of porosity test block Download PDFInfo
- Publication number
- CN111275664B CN111275664B CN201911207016.9A CN201911207016A CN111275664B CN 111275664 B CN111275664 B CN 111275664B CN 201911207016 A CN201911207016 A CN 201911207016A CN 111275664 B CN111275664 B CN 111275664B
- Authority
- CN
- China
- Prior art keywords
- target detection
- porosity
- block
- test
- detection area
- 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.)
- Active
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 143
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000012216 screening Methods 0.000 title claims abstract description 49
- 238000003860 storage Methods 0.000 title claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 206
- 238000005516 engineering process Methods 0.000 claims description 33
- 238000003384 imaging method Methods 0.000 claims description 17
- 238000002601 radiography Methods 0.000 claims description 4
- 238000013101 initial test Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 19
- 230000008569 process Effects 0.000 abstract description 14
- 238000004422 calculation algorithm Methods 0.000 abstract description 5
- 238000004364 calculation method Methods 0.000 abstract description 5
- 230000007547 defect Effects 0.000 description 19
- 239000002131 composite material Substances 0.000 description 17
- 238000011156 evaluation Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 239000000835 fiber Substances 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000035515 penetration Effects 0.000 description 4
- 239000000523 sample Substances 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 230000032798 delamination Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 239000006247 magnetic powder Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000009659 non-destructive testing Methods 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 239000011148 porous material Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 239000011157 advanced composite material Substances 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 150000002632 lipids Chemical class 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical class C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000007873 sieving Methods 0.000 description 1
- 238000004513 sizing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E30/00—Energy generation of nuclear origin
- Y02E30/30—Nuclear fission reactors
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The embodiment of the invention discloses a screening method, a screening device, screening equipment and a storage medium of a porosity test block. The method comprises the following steps: acquiring a first target detection image of a first target detection area on a test board, and calculating a gray average value of the first target detection image; determining a uniformity coefficient of the first target detection area according to the gray average value; and if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block. According to the embodiment of the invention, the first target detection image on the test board is subjected to uniform coefficient calculation, and the first porosity test block is determined according to the standard of the uniform coefficient, so that the problem of complex algorithm for calculating the porosity is solved, the workload of the screening process is reduced, and the production efficiency of the porosity test block is further improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of nondestructive testing of aviation composite material parts, in particular to a screening method, a screening device, screening equipment and a storage medium of a porosity test block.
Background
With the development of composite material manufacturing technology, the adoption of advanced composite materials by large airliners has become an important development trend in the aviation field. Porosity is an inevitable defect in the manufacture of carbon fiber composites, and the mechanical properties of the composites are very sensitive to porosity. In order to ensure the safety of a passenger plane, the porosity detection is an important branch in the field of nondestructive detection of the aircraft, and a key technology for realizing the porosity detection is to screen a series of porosity test blocks on a manufactured test plate, wherein the porosity test blocks comprise a reference test block and a calibration test block. The porosity evaluation standard is further provided for mass-produced composite material accessories by testing the reference block. Furthermore, the performance of the reference block can be evaluated by testing the calibration block.
In the process of manufacturing the porosity test block, a method of adjusting parameters such as temperature, pressure or curing time in a curing process is generally adopted to manufacture the porosity test block meeting the standard. It has also been proposed to screen the porosity block by using an ultrasonic imaging detection technique, in which the porosity of the porosity block is calculated by using the attenuation effect of the pores in the porosity block on ultrasonic waves or the reflection effect of ultrasonic waves on different media, so as to obtain an evaluation result of the porosity block.
Based on the prior art scheme, the porosity test block is manufactured through process parameter control, the implementation difficulty is high, and the result error is high. If the ultrasonic imaging detection technology is based, the requirement of the porosity test block is large in the daily production process, the volume of the porosity test block is large, the porosity test block is evaluated by calculating the porosity, and the calculation process is complex, so that the screening workload is increased, and the production efficiency of the porosity test block is reduced.
Disclosure of Invention
The embodiment of the invention provides a screening method, a screening device, screening equipment and a storage medium for a porosity test block, so as to reduce the workload of the screening process and further improve the production efficiency of the porosity test block.
In a first aspect, an embodiment of the present invention provides a method for screening a porosity test block, where the method includes:
acquiring a first target detection image of a first target detection area on a test board, and calculating a gray average value of the first target detection image;
determining a uniformity coefficient of the first target detection area according to the gray average value;
and if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
In a second aspect, an embodiment of the present invention further provides a device for screening a porosity test block, where the device includes:
the first target detection image acquisition module is used for acquiring a first target detection image of a first target detection area on the test board and calculating a gray average value of the first target detection image;
the uniformity coefficient determining module is used for determining the uniformity coefficient of the first target detection area according to the gray average value;
and the first porosity test block determining module is used for taking the first target detection area as a first porosity test block if the uniformity coefficient meets a preset standard.
In a third aspect, an embodiment of the present invention further provides an apparatus, including:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of screening a porosity block of any of the above-mentioned concerns.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method of screening a porosity block as described in any one of the above.
According to the embodiment of the invention, the first target detection image on the test board is subjected to uniform coefficient calculation, and the first porosity test block is determined according to the standard of the uniform coefficient, so that the problem of complex algorithm for calculating the porosity is solved, the workload of the screening process is reduced, and the production efficiency of the porosity test block is further improved.
Drawings
Fig. 1 is a flowchart of a method for screening a porosity block according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for screening a porosity block according to a second embodiment of the present invention.
Fig. 3 is a flowchart of a specific example of a method for screening a porosity block according to a second embodiment of the present invention.
Fig. 4 is a schematic diagram of a screening apparatus for a porosity block according to a third embodiment of the present invention.
Fig. 5 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a method for screening a porosity block according to an embodiment of the present invention, where the method may be performed by a device for screening a porosity block, and the device may be implemented in software and/or hardware. The method specifically comprises the following steps:
s110, acquiring a first target detection image of a first target detection area on the test board, and calculating a gray average value of the first target detection image.
Wherein, the test plate refers to a carrier for carrying out porosity test block screening. If the porosity test block is directly manufactured according to the process, in the manufacturing process, the porosity test block is easy to have process defects due to the defects of the process principle and theory, the randomness of the artificial operation and other factors, and the actual production standard is not met. Therefore, it is necessary to first manufacture a test plate according to a process and screen a porosity test block satisfying a standard on the test plate.
In one embodiment, optionally, a first target detection image of the first target detection area is acquired according to at least one first target detection area input by a user. The user can select a first target detection area meeting the size specification of the first porosity test block on the test plate according to actual production requirements.
In one embodiment, a digital radiography detection technique is used to obtain a reference detection image of the test panel; a first target detection image of the first target detection area is determined from the reference detection image.
In one embodiment, optionally, the technical method for obtaining the reference detection image of the test panel further comprises at least one method of ultrasonic detection technology, magnetic powder detection technology, eddy current detection technology, penetration detection technology, infrared thermal wave imaging technology, sound-ultrasonic detection technology and sound emission detection technology. The digital ray imaging detection technology has the advantages of high imaging speed, good imaging quality and high precision, and can screen the porosity test block faster and better.
The principle of the digital radiography detection technology is that the composite material is irradiated by using X-rays, and an image of the X-rays after passing through the composite material is generated according to at least one X-ray characteristic. Exemplary X-ray characteristics include, but are not limited to, transmission, absorption, reflection, and scattering characteristics, among others. The reference detection image of the test board may be an image of all areas on the test board, or may be an image of a partial area on the test board.
In one embodiment, optionally, determining the first target detection image of the first target detection area from the reference detection image comprises: and identifying the reference detection image according to the first porosity test block size specification to obtain at least one first target detection image corresponding to the at least one first target detection area. The first porosity block size specification includes, but is not limited to, at least one of a sphere, a cylinder, a square column and an irregular body, and the preset size specification is not limited herein and can be set according to actual production requirements. The first target detection regions may be partially overlapped with each other, or may be completely non-overlapped with each other. In one embodiment, the first target detection areas are partially overlapped, which has the advantage that the test plate can be screened to the greatest extent, and materials are saved. The overlapping ratio may be 50% or 20%, and the overlapping ratio of each first target detection region is not limited herein.
In one embodiment, optionally, the type of first object detection image comprises a color image or a grayscale image. In one embodiment, when the type of the first object detection image is a color image, the first object detection image is converted into a grayscale image, and a grayscale average of the first object detection image is calculated.
The gray image is an image with only one sampling color for each pixel point in the image, and is usually displayed as gray from darkest black to brightest white. The logarithmic relationship between white and black is divided into several levels, called "gray levels", which typically range from 0 to 255, with white being 255 and black being 0. In one embodiment, optionally, gray values of all pixels in the first target detection image are added to obtain a gray accumulated value; counting the number of pixel points in the first target detection image; dividing the gray accumulated value by the number of pixel points, and calculating to obtain the gray average value of the first target detection image. Specifically, the gray average value of the first target detection area is calculated based on the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,n represents the number of pixel points and x is the gray average value i And represents the gray value of the ith pixel point in the first target detection image.
S120, determining a uniformity coefficient of the first target detection area according to the gray average value.
In one embodiment, optionally, a gray standard deviation of the first target detection area is calculated according to the gray average value; the uniformity coefficient of the first target detection area is calculated based on the following formula:
wherein B is a uniformity coefficient, sigma is a gray standard deviation,is the gray average value.
In one embodiment, optionally, the gray standard deviation of the first target detection area is calculated according to the gray average value, the gray value of each pixel point in the first target detection image, and the number of the pixel points. Specifically, the gray standard deviation of the first target detection region is calculated based on the following manner:
and S130, if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
Wherein the predetermined criteria includes a predetermined uniformity coefficient threshold. In one embodiment, optionally, the first target detection region is taken as a first porosity block if the uniformity coefficient is greater than a preset uniformity coefficient threshold. The preset uniformity coefficient threshold may be, for example, 80% or 90%, and the setting of the preset uniformity coefficient threshold is not limited herein.
The first porosity test block comprises a reference test block or a calibration test block. The reference block is a block for providing a porosity evaluation standard for a composite fitting produced in batch, and the porosity evaluation standard includes a porosity attenuation curve, wherein the horizontal axis of the curve is porosity, and the vertical axis of the curve is attenuation. The calibration block refers to a block for performing performance evaluation on the reference block. Specifically, a porosity evaluation standard can be constructed for the reference block by testing the calibration block. The dimensions of the reference block and the calibration block may be the same or different. Illustratively, the size of the reference block is greater than the size of the calibration block.
According to the technical scheme, the first target detection image on the test plate is subjected to uniform coefficient calculation, the first porosity test block is determined according to the uniform coefficient standard, the problem that an algorithm for calculating the porosity is complex is solved, the workload of a screening process is reduced, and the production efficiency of the porosity test block is further improved.
On the basis of the technical scheme, the method optionally further comprises the following steps: acquiring a second target detection image of a second target detection area on the test board, and calculating a gray average value of the second target detection image; determining a uniformity coefficient of the second target detection area according to the gray average value; and if the uniformity coefficient of the second target detection area is the same as that of the first target detection area, taking the second target detection area as a second porosity test block.
The first target detection area and the second target detection area are both in the range of the test panel area corresponding to the reference detection image, and the first target detection area and the second target detection area are different. Wherein the uniformity coefficient of the second target detection area being the same as the uniformity coefficient of the first target detection area includes that the gray average value of the first target detection area is the same as the gray average value of the second target detection area, and the gray standard deviation of the first target detection area is the same as the gray standard deviation of the second target detection area.
In one embodiment, optionally, if the first porosity block is a reference block, the second porosity block is a calibration block; if the second porosity block is a calibration block, the first porosity block is a reference block.
The uniform coefficients are the same as the screening conditions of the reference test block or the standard test block, and the setting has the advantages that the workload of screening the porosity test block can be reduced, and the production efficiency of the porosity test block is further improved.
Example two
Fig. 2 is a flowchart of a method for screening a porosity test block according to a second embodiment of the present invention, and the technical solution of this embodiment is further refinement based on the foregoing embodiment. Optionally, the acquiring the reference detection image of the test board by using a digital radiography detection technology includes: acquiring an initial detection image of a test panel, and determining an unlabeled area of the test panel according to the initial detection image; and acquiring a reference detection image of the unlabeled area of the test plate by adopting a digital ray imaging detection technology.
The implementation steps of the embodiment of the invention comprise:
s210, acquiring an initial detection image of the test plate, and determining an unlabeled area of the test plate according to the initial detection image.
In one embodiment, the optional technical method for acquiring the initial detection image of the test panel includes at least one method of ultrasonic detection technology, magnetic powder detection technology, digital ray imaging detection technology, eddy current detection technology, penetration detection technology, infrared thermal wave imaging technology, sound-ultrasonic detection technology and sound emission detection technology. Among them, ultrasonic detection techniques include ultrasonic wave penetration techniques and ultrasonic pulse reflection techniques.
In one embodiment, an initial test image of the test panel is acquired using an ultrasonic penetration technique. Specifically, the ultrasonic wave transmission technology utilizes the transmission characteristic of ultrasonic waves, namely, one probe transmits ultrasonic waves, the other probe receives the ultrasonic waves which pass through the composite material at the other side of the composite material, and the defect of the composite material is judged according to the intensity of the received ultrasonic waves, wherein the intensity of the ultrasonic waves can be expressed as gray characteristic in an image.
In one embodiment, an initial detection image of the test panel is acquired using an ultrasonic pulse reflection technique. Specifically, the ultrasonic pulse reflection technology utilizes the reflection characteristic of ultrasonic waves, namely, a probe transmits ultrasonic waves, and meanwhile, the probe receives ultrasonic waves reflected by a composite material, and the defect of the composite material is judged according to the intensity of the received ultrasonic waves, wherein the intensity of the ultrasonic waves can be expressed as gray characteristic in an image.
After the test board is manufactured, the test board generally has technical defects. By way of example, the types of defects that exist generally include delamination, inclusions, debonding, porosity, cracks, fiber breakage, fiber curl, lipid enrichment, sizing depletion, fiber volume percent overrun, poor fiber/matrix interface bonding, ply or fiber orientation errors, ply overlap, thickness deviations, fraying, etc., where delamination, inclusions, debonding, porosity are the primary defects of the panel. In particular, delamination defects refer to cracks between the plies in a composite laminate, primarily due to ply-to-ply debonding, characterized by thin, large-area gaps. The inclusion defect refers to metallic or non-metallic inclusions such as particles, chips, films, isolating paper and the like which are outside the constituent components in the composite material and are mainly caused by impure raw materials or human negligence. The debonding defect refers to a defect formed by the fact that the joint surfaces between two individual parts of the composite material are not glued together. The loose defect means that a large number of holes and pores are densely distributed on the local position of the composite material, so that the composite material structure is honeycomb-shaped, and the strength and performance of the material are severely reduced.
In one embodiment, optionally, the defect region is marked on the test panel based on the initial detection image, and the marked region and the unmarked region on the test panel are determined. Wherein the defect area comprises macroscopic defect areas such as but not limited to layering areas, air hole areas, inclusion areas, debonding areas, loose areas and the like.
S220, acquiring a reference detection image of an unlabeled area of the test plate by adopting a digital ray imaging detection technology.
S230, determining a first target detection image of the first target detection area according to the reference detection image, and calculating a gray average value of the first target detection image.
S240, determining a uniformity coefficient of the first target detection area according to the gray average value.
S250, if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
For example, fig. 3 is a flowchart of a specific example of a method for screening a porosity block according to the second embodiment of the present invention. Based on any test plate, nondestructive testing is carried out on the test plate by adopting an ultrasonic pulse reflection technology, and an initial detection image of the test plate is obtained. And analyzing the initial detection image to judge whether a macroscopic defect area exists on the test board. If a certain area belongs to the macroscopic defect area, marking the area; if the marking is not in the macroscopic defect area, marking is not performed, so that marked areas and unmarked areas are respectively formed on the test board. And imaging an unlabeled area on the test plate by adopting a digital ray imaging detection technology to obtain a reference detection image. And analyzing the reference detection image and selecting a target detection area. Specifically, the target detection area may be selected according to the size specification of the porosity block. And calculating the uniformity coefficient of the target detection image of the target detection area, and judging whether the uniformity coefficient meets the standard. If the uniformity coefficient meets the standard, taking the target detection area as a porosity test block; and if the uniformity coefficient does not meet the standard, re-selecting another target detection area, and repeatedly executing the step of calculating the uniformity coefficient until the target detection area with the uniformity coefficient meeting the standard is found. If the uniformity coefficient of each target detection area of the unlabeled area on the test plate does not meet the standard, the test plate needs to be replaced, and the step of screening the porosity test block is repeatedly executed. The porosity test block comprises a calibration test block and a comparison test block.
According to the technical scheme, the initial detection image of the test plate is obtained, the test plate is marked according to the initial detection image, and only the unmarked area on the test plate is required to be subjected to imaging detection, so that the problem of large workload of screening the porosity test plate is solved, and the production efficiency of the porosity test block is further improved.
Example III
Fig. 4 is a schematic diagram of a screening apparatus for a porosity block according to a third embodiment of the present invention. The embodiment can be suitable for the condition of screening the porosity test block on the test plate, and the device can be realized in a software and/or hardware mode. This sieving mechanism of porosity test block includes: a first object detection image acquisition module 310, a uniformity coefficient determination module 320, and a first porosity block determination module 330.
The first target detection image obtaining module 310 is configured to obtain a first target detection image of a first target detection area on the test board, and calculate a gray average value of the first target detection image;
a uniformity coefficient determining module 320, configured to determine a uniformity coefficient of the first target detection area according to the gray average value;
the first porosity block determination module 330 is configured to take the first target detection area as the first porosity block if the uniformity coefficient meets a preset criterion.
According to the technical scheme, the first target detection image on the test plate is subjected to uniform coefficient calculation, the first porosity test block is determined according to the uniform coefficient standard, the problem that an algorithm for calculating the porosity is complex is solved, the workload of a screening process is reduced, and the production efficiency of the porosity test block is further improved.
Based on the above technical solution, optionally, the uniformity coefficient determining module 320 is specifically configured to:
according to the gray average value, calculating the gray standard deviation of the first target detection area;
the uniformity coefficient of the first target detection area is calculated based on the following formula:
wherein B is a uniformity coefficient, sigma is a gray standard deviation,is the gray average value.
Optionally, the first object detection image acquisition module 310 includes:
the reference detection image acquisition unit is used for acquiring a reference detection image of the test panel by adopting a digital ray imaging detection technology;
and a first target detection image determining unit for determining a first target detection image of the first target detection area based on the reference detection image.
Optionally, the reference detection image acquisition unit includes:
the unlabeled region determining region subunit is used for acquiring an initial detection image of the test panel and determining an unlabeled region of the test panel according to the initial detection image;
and the reference detection image acquisition subunit is used for acquiring a reference detection image of the unlabeled area of the test plate by adopting a digital ray imaging detection technology.
Optionally, the unlabeled region-determining region subunit is specifically configured to:
and acquiring an initial detection image of the test plate by adopting an ultrasonic pulse reflection technology.
Optionally, the apparatus further includes a second porosity block determination module, specifically configured to:
acquiring a second target detection image of a second target detection area on the test board, and calculating a gray average value of the second target detection image;
determining a uniformity coefficient of the second target detection area according to the gray average value;
and if the uniformity coefficient of the second target detection area is the same as that of the first target detection area, taking the second target detection area as a second porosity test block.
Optionally, if the first porosity block is a reference block, the second porosity block is a calibration block; if the second porosity block is a calibration block, the first porosity block is a reference block.
The screening device of the porosity test block provided by the embodiment of the invention can be used for executing the screening method of the porosity test block provided by the embodiment of the invention, and has the corresponding functions and beneficial effects of the execution method.
It should be noted that, in the embodiment of the apparatus for screening a porosity block, each unit and module included are only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Example IV
Fig. 5 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention, which provides services for implementing the method for screening a porosity block according to the above embodiment of the present invention, and the apparatus for screening a porosity block according to the above embodiment of the present invention may be configured. Fig. 5 shows a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 5 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 5, device 12 is in the form of a general purpose computing device. Components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard disk drive"). Although not shown in fig. 5, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the screening method of the porosity test block provided by the embodiment of the present invention.
By the aid of the equipment, the problem that an algorithm for calculating the porosity is complex is solved, workload of a screening process is reduced, and production efficiency of the porosity test block is improved.
Example five
The fifth embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for screening a porosity block, the method comprising:
acquiring a first target detection image of a first target detection area on a test board, and calculating a gray average value of the first target detection image;
determining a uniformity coefficient of the first target detection area according to the gray average value;
and if the uniformity coefficient meets the preset standard, taking the first target detection area as a first porosity test block.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the above method operations, and may also perform the related operations in the method for screening a porosity test block provided in any embodiment of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1. A method of screening a porosity block, comprising:
acquiring a first target detection image of a first target detection area on a test board, and calculating a gray average value of the first target detection image;
determining a uniformity coefficient of the first target detection area according to the gray average value;
if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block;
the determining the uniformity coefficient of the first target detection area according to the gray average value includes:
according to the gray average value, calculating the gray standard deviation of the first target detection area;
and calculating the uniformity coefficient of the first target detection area based on the following formula:
2. The method of claim 1, wherein acquiring the target detection image of the first target detection area on the test panel comprises:
acquiring a reference detection image of the test plate by adopting a digital ray imaging detection technology;
and determining a first target detection image of the first target detection area according to the reference detection image.
3. The method of claim 2, wherein acquiring the reference test image of the test panel using digital radiography detection techniques comprises:
acquiring an initial detection image of a test panel, and determining an unlabeled area of the test panel according to the initial detection image;
and acquiring a reference detection image of the unlabeled area of the test plate by adopting a digital ray imaging detection technology.
4. A method according to claim 3, wherein said acquiring an initial test image of the test panel comprises:
and acquiring an initial detection image of the test plate by adopting an ultrasonic pulse reflection technology.
5. The method as recited in claim 1, further comprising:
acquiring a second target detection image of a second target detection area on the test board, and calculating a gray average value of the second target detection image;
determining a uniformity coefficient of the second target detection area according to the gray average value;
and if the uniformity coefficient of the second target detection area is the same as that of the first target detection area, taking the second target detection area as a second porosity test block.
6. The method of claim 5, wherein if the first porosity block is a reference block, the second porosity block is a calibration block; and if the second porosity test block is a calibration test block, the first porosity test block is a comparison test block.
7. A device for screening a porosity block, comprising:
the first target detection image acquisition module is used for acquiring a first target detection image of a first target detection area on the test board and calculating a gray average value of the first target detection image;
the uniformity coefficient determining module is used for determining the uniformity coefficient of the first target detection area according to the gray average value;
the first porosity test block determining module is used for taking the first target detection area as a first porosity test block if the uniformity coefficient meets a preset standard;
the uniformity coefficient determining module is specifically configured to:
according to the gray average value, calculating the gray standard deviation of the first target detection area;
8. An apparatus, comprising:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method of screening a porosity block according to any one of claims 1 to 6.
9. A storage medium containing computer executable instructions which, when executed by a computer processor, are for performing the method of screening a porosity block according to any one of claims 1 to 6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911207016.9A CN111275664B (en) | 2019-11-29 | 2019-11-29 | Screening method, device, equipment and storage medium of porosity test block |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911207016.9A CN111275664B (en) | 2019-11-29 | 2019-11-29 | Screening method, device, equipment and storage medium of porosity test block |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111275664A CN111275664A (en) | 2020-06-12 |
CN111275664B true CN111275664B (en) | 2023-05-26 |
Family
ID=70998682
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911207016.9A Active CN111275664B (en) | 2019-11-29 | 2019-11-29 | Screening method, device, equipment and storage medium of porosity test block |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111275664B (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108022219A (en) * | 2017-11-30 | 2018-05-11 | 安徽质在智能科技有限公司 | A kind of two dimensional image tone correcting method |
CN110176010A (en) * | 2019-05-24 | 2019-08-27 | 上海联影医疗科技有限公司 | A kind of image detecting method, device, equipment and storage medium |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9390884B2 (en) * | 2014-05-09 | 2016-07-12 | Globalfoundries Inc. | Method of inspecting a semiconductor substrate |
-
2019
- 2019-11-29 CN CN201911207016.9A patent/CN111275664B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108022219A (en) * | 2017-11-30 | 2018-05-11 | 安徽质在智能科技有限公司 | A kind of two dimensional image tone correcting method |
CN110176010A (en) * | 2019-05-24 | 2019-08-27 | 上海联影医疗科技有限公司 | A kind of image detecting method, device, equipment and storage medium |
Non-Patent Citations (1)
Title |
---|
田晓东 ; 刘忠 ; .基于统计量的声呐图像目标检测算法.舰船科学技术.2007,(01),全文. * |
Also Published As
Publication number | Publication date |
---|---|
CN111275664A (en) | 2020-06-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10891462B2 (en) | Identifying geometrical properties of rock structure through digital imaging | |
US9311699B2 (en) | Clear mottle analyzer for multilayer laminates | |
CA2549622C (en) | System and method for comparing images with different contrast levels | |
US8204291B2 (en) | Method and system for identifying defects in a radiographic image of a scanned object | |
Smith et al. | BAT AGN spectroscopic survey-XV: the high frequency radio cores of ultra-hard X-ray selected AGN | |
CN112816556B (en) | Defect detection method, device, equipment and storage medium | |
Yu et al. | Lamb wave-based damage imaging of CFRP composite structures using autoencoder and delay-and-sum | |
EP3781944A1 (en) | Automated analysis of petrographic thin section images using advanced machine learning techniques | |
CN117147561B (en) | Surface quality detection method and system for metal zipper | |
CN105115996A (en) | GIS device X-ray digital image double-screen contrastive analysis and diagnosis method | |
CN111275664B (en) | Screening method, device, equipment and storage medium of porosity test block | |
CN101592623A (en) | A kind of based on the multi-angle Compton scattering imaging device of screening the class survey device | |
CN112816557B (en) | Defect detection method, device, equipment and storage medium | |
US20230260253A1 (en) | Machine learning approach for radiographic non-destructive testing | |
US10565765B2 (en) | Information processing apparatus, system of assessing structural object, method of assessing structural object and storage medium | |
CN100573583C (en) | Be used for relatively having the system and method for other image of different contrast level | |
CN111669575B (en) | Method, system, electronic device, medium and terminal for testing image processing effect | |
Wang et al. | Region segmentation based radiographic detection of defects for gas turbine blades | |
CN112214842A (en) | Acoustic liner design method, apparatus, device and storage medium | |
Spaeth et al. | Porosity area fraction analysis of bonded borosilicate specimens from in-situ optical imagery | |
WO2021136934A1 (en) | Improvements in and relating to detection and mapping of cracks | |
EP4258208A1 (en) | Method and apparatus for inspecting a composite assembly | |
CN112986285B (en) | Defect type determination method, defect type determination device, cloud platform and medium | |
Wang et al. | Real-time radiographic non-destructive inspection for aircraft maintenance | |
CN116165054B (en) | Rock mechanical parameter acquisition method and device and electronic equipment |
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 |