CN112819788B - Image stability detection method and device - Google Patents
Image stability detection method and device Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20216—Image averaging
Abstract
The application aims at providing an image stability detection method and equipment, and part images of a mobile phone are collected through X-ray equipment; performing part detection on the part image to obtain a gray detection area corresponding to at least one part; periodically detecting the part gray average value of the gray detection area corresponding to each part; judging whether the part gray average value is larger than a preset part gray average value threshold value or not, and if yes, generating first alarm information for indicating that the collected part image gray of the mobile phone is unstable; if not, returning to the step of collecting the part images of the mobile phone through the X-ray equipment so as to realize the stability detection of the part images of all parts including the mobile phone and avoid errors caused by the detection of all parts of the mobile phone through unstable part images.
Description
Technical Field
The present application relates to the field of computers, and in particular, to a method and an apparatus for detecting image stability.
Background
In daily life, mobile phones become indispensable personal belongings for people, the mobile phones become necessities of people in various occasions no matter work, go out, study or travel, and with the maturity of mobile phone development, the dependence of people on the mobile phones is higher and higher. With the use of a mobile phone, parts of hardware of the mobile phone may be abnormal due to aging or collision, when the mobile phone has a problem, the parts of the mobile phone cannot be well detected, so that a user cannot further determine where the mobile phone has the problem, but in the process of detecting the acquired image of the mobile phone, due to factors such as unstable image quality of the acquired image including all parts in the mobile phone, a great error exists in subsequent analysis of the parts in the image, so that the detection of stability of the acquired image of the parts of the mobile phone becomes a current main research subject.
Disclosure of Invention
An object of the present application is to provide an image stability detection method and device, so as to implement stability detection on part images including all parts of a mobile phone, and avoid errors caused when each part of the mobile phone is detected subsequently through an unstable part image.
According to an aspect of the present application, there is provided an image stability detection method, wherein the method includes:
collecting a part image of the mobile phone through X-ray equipment;
carrying out part detection on the part image to obtain a gray detection area corresponding to at least one part;
periodically detecting the part gray average value of the gray detection area corresponding to each part;
judging whether the part gray average value is larger than a preset part gray average value threshold value or not,
if yes, first alarm information used for indicating that the collected part image of the mobile phone is unstable in gray level is generated;
if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment.
Further, in the above image stability detection method, the method further includes:
periodically detecting the integral gray average value of the part image of the mobile phone;
judging whether the integral gray level average value is larger than a preset integral gray level average value threshold value or not,
if yes, second alarm information used for indicating that the collected part image of the mobile phone is unstable in gray level is generated;
if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment.
Further, in the above image stability detection method, the performing part detection on the part image to obtain a gray detection area corresponding to at least one part further includes:
and marking the rectangular frame of the gray detection area corresponding to each part to obtain the rectangular frame of the gray detection area corresponding to each part.
Further, in the above image stability detection method, the method further includes:
periodically detecting a first average value and a second average value of a wide side of a long side of a rectangular frame of a gray detection area corresponding to each part;
determining whether the first average value is greater than a preset long average value and the second average value is greater than a preset wide average value,
if yes, generating third alarm information for indicating that the size of the collected part image of the mobile phone is unstable;
if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment.
Further, in the above image stability detection method, the method further includes:
periodically detecting a rectangular frame of a gray detection area corresponding to each part, and obtaining a part proportion corresponding to each part in a part image of the mobile phone;
judging whether the division ratio of the part is larger than a preset division ratio threshold corresponding to the part or not,
if yes, fourth alarm information used for indicating that the size of the collected part image of the mobile phone is unstable is generated;
if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment.
Further, in the above image stability detection method, the method further includes:
and presetting at least one detection threshold value in the initial detection time, the detection period and the detection of the periodic detection.
According to another aspect of the present application, there is also provided a non-volatile storage medium having computer readable instructions stored thereon, which, when executed by a processor, cause the processor to implement the image stability detection method as described above.
According to another aspect of the present application, there is also provided an apparatus for image stability detection, wherein the apparatus comprises:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the image stability detection method as described above.
Compared with the prior art, the method has the advantages that the part images of the mobile phone are collected through the X-ray equipment; performing part detection on the part image to obtain a gray detection area corresponding to at least one part; periodically detecting the part gray average value of the gray detection area corresponding to each part; judging whether the part gray average value is larger than a preset part gray average value threshold value or not, and if yes, generating first alarm information for indicating that the collected part image gray of the mobile phone is unstable; if not, returning to the step of collecting the part images of the mobile phone through the X-ray equipment so as to realize the stability detection of the part images of all parts including the mobile phone and avoid errors caused by the detection of all parts of the mobile phone through unstable part images.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 illustrates a flow diagram of a method of image stability detection in accordance with an aspect of the subject application;
the same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present application is described in further detail below with reference to the attached figures.
In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
Fig. 1 shows a schematic flowchart of an image stability detection method according to an aspect of the present application, which is applied in a process of performing stability detection on a collected part image of a mobile phone, where the method includes: step S11, step S12, step S13, step S14, and step S15, wherein the method specifically includes the steps of:
s11, collecting a part image of the mobile phone through X-ray equipment; the part image of the mobile phone includes all parts of the mobile phone collected by the X-ray device, including but not limited to mobile phone parts, screws, and wireless charging coils, etc. of the mobile phone itself, and the mobile phone parts include but not limited to a display screen, a flat cable, a housing, keys, a side key, a vibrator, a microphone, an antenna switch, and a receiver, etc.
S12, carrying out part detection on the part image to obtain a gray detection area corresponding to at least one part; when the part image of the mobile phone is subjected to part detection, a corresponding part detection algorithm is called, so that each part of the mobile phone is detected from the part image through the part detection algorithm.
And S13, periodically detecting the part gray average value of the gray detection area corresponding to each part.
And S14, judging whether the part gray average value is larger than a preset part gray average value threshold value or not.
If yes, executing step S15; if not, indicating that the part gray scale stability of the currently acquired part image of the mobile phone is good, performing subsequent part detection based on the part image of the mobile phone, and returning to execute the step S11 to continuously acquire the part image of the mobile phone.
S15, when the part gray average value is larger than a preset part gray average value threshold value, generating first alarm information for indicating that the collected part image gray of the mobile phone is unstable; here, the first alarm information includes alarm information indicating that a part gray level of a part image of the mobile phone is unstable.
Through the steps S11 to S15, when the part gray average value in the part image of the mobile phone is larger than the preset part gray average value threshold value, the first alarm information for alarming the part gray instability of the part image of the mobile phone is generated, and errors caused by the detection of all parts of the mobile phone through the unstable part image in the follow-up process are avoided.
Next to the foregoing embodiments of the present application, an image stability detection method according to an aspect of the present application further includes:
periodically detecting the integral gray average value of the part image of the mobile phone; namely, the average value of the gray values is calculated for the whole part in the part image of the mobile phone. Judging whether the overall gray level average value is larger than a preset overall gray level average value threshold value or not, if so, generating second alarm information for indicating that the collected part image of the mobile phone has unstable gray level, wherein the second alarm information comprises alarm information for indicating that the overall gray level of the part image of the mobile phone is unstable; if not, continuing to execute the step of collecting the part image of the mobile phone through the X-ray equipment, so that when the overall gray level average value in the part image of the mobile phone is larger than a preset overall gray level average value threshold value, generating second alarm information for alarming the instability of the overall gray level of the part image of the mobile phone, and avoiding errors caused when detecting each part of the mobile phone through the part image with the unstable overall gray level.
Following the above embodiment of the present application, after the step S12 performs part detection on the part image to obtain a grayscale detection region corresponding to at least one part, the method further includes: and marking the rectangular frame of the gray detection area corresponding to each part to obtain the rectangular frame of the gray detection area corresponding to each part. For example, in order to facilitate gray scale stability detection of a gray scale detection area corresponding to each part in a part image of a mobile phone, after the part image is subjected to part detection to obtain a gray scale detection area corresponding to each part, rectangular frame labeling needs to be performed on the gray scale detection area corresponding to each part, so as to better find a rectangular frame of the gray scale detection area of the part needing gray scale detection in the part image of the mobile phone, and realize rectangular frame labeling on the gray scale detection area of the part.
Next to the foregoing embodiments of the present application, an image stability detection method according to an aspect of the present application further includes:
periodically detecting a first average value of a long edge and a second average value of a wide edge of a rectangular frame of a gray detection area corresponding to each part; judging whether the first average value is larger than a preset long average value and the second average value is larger than a preset wide average value, if so, generating third alarm information for indicating that the size of the collected part image of the mobile phone is unstable, wherein the third alarm information comprises alarm information for indicating that the size of a rectangular frame of a gray detection area of each part corresponding to the part image of the mobile phone is unstable; if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment. The method and the device have the advantages that the detection and the alarm of unstable sizes of the rectangular frames of the gray level detection areas of the parts corresponding to the collected part images of the mobile phone are realized, and errors caused when the parts of the mobile phone are detected through the part images with unstable sizes in the follow-up process are avoided.
Next to the foregoing embodiments of the present application, an image stability detection method according to an aspect of the present application further includes:
periodically detecting a rectangular frame of a gray detection area corresponding to each part, and obtaining a part proportion corresponding to each part according to the part proportion in a part image of the mobile phone; judging whether the part proportion of the part is larger than a preset part proportion threshold corresponding to the part, if so, generating fourth alarm information for indicating that the size of the collected part image of the mobile phone is unstable, wherein the fourth alarm information comprises alarm information indicating that the size of a rectangular frame of a gray detection area of each part corresponding to the part image of the mobile phone is unstable in the whole part image; if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment. The method and the device realize the detection and alarm of the unstable size of the rectangular frame of the gray detection area of each part corresponding to the collected part image of the mobile phone in the whole part image, and avoid the errors caused by the detection of each part of the mobile phone through the part image with unstable size in the follow-up process.
Next to the foregoing embodiments of the present application, an image stability detection method according to an aspect of the present application further includes: and presetting at least one detection threshold value in the starting detection time, the detection period and the detection of the periodic detection. The detection period is used for indicating a period for periodically detecting the part gray level mean value of the gray level detection area corresponding to each part in the part image of the mobile phone; the detection threshold includes, but is not limited to, a preset part gray level mean threshold, a preset integral gray level mean threshold, a preset length mean threshold of a long side of a rectangular frame of a gray level detection area corresponding to each part, a preset width threshold of a wide side, a preset division ratio threshold, and the like, so that the detection threshold can be directly called in the process of performing stability detection on a part image of the mobile phone in the subsequent process.
According to another aspect of the present application, there is also provided a non-volatile storage medium having computer readable instructions stored thereon, which, when executed by a processor, cause the processor to implement the image stability detection method as described above.
According to another aspect of the present application, there is also provided an apparatus for congestion control, wherein the apparatus comprises:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the image stability detection method as described above.
Here, for details of each embodiment in the apparatus for congestion control, reference may be specifically made to corresponding portions of the embodiment of the image stability detection method, and details are not described here again.
In summary, the part image of the mobile phone is collected through the X-ray equipment; performing part detection on the part image to obtain a gray detection area corresponding to at least one part; periodically detecting the part gray average value of the gray detection area corresponding to each part; judging whether the part gray average value is larger than a preset part gray average value threshold value or not, and if so, generating first alarm information for indicating that the collected part image gray of the mobile phone is unstable; if not, returning to the step of collecting the part images of the mobile phone through the X-ray equipment so as to realize the stability detection of the part images of all parts including the mobile phone and avoid errors caused by the detection of all parts of the mobile phone through unstable part images.
It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. As such, the software programs (including associated data structures) of the present application can be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Further, some of the steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
In addition, some of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application through the operation of the computer. Program instructions which invoke the methods of the present application may be stored on a fixed or removable recording medium and/or transmitted via a data stream on a broadcast or other signal-bearing medium and/or stored within a working memory of a computer device operating in accordance with the program instructions. An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or a solution according to the aforementioned embodiments of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (6)
1. An image stability detection method, wherein the method comprises:
collecting a part image of the mobile phone through X-ray equipment;
carrying out part detection on the part image to obtain a gray detection area corresponding to at least one part;
periodically detecting the part gray average value of the gray detection area corresponding to each part;
judging whether the part gray average value is larger than a preset part gray average value threshold value or not,
if yes, generating first alarm information for indicating that the collected part image of the mobile phone is unstable in gray level;
if not, returning to the step of collecting the part image of the mobile phone through the X-ray equipment;
wherein, to carry out the part detection to the part image, obtain the grey level detection area that at least one part corresponds, still include: marking a rectangular frame of the gray detection area corresponding to each part to obtain the rectangular frame of the gray detection area corresponding to each part; wherein the method further comprises:
periodically detecting a first average value of a long edge and a second average value of a wide edge of a rectangular frame of a gray detection area corresponding to each part; judging whether the first average value is larger than a preset long average value and whether the second average value is larger than a preset wide average value, and if so, generating third alarm information for indicating that the size of the acquired part image of the mobile phone is unstable; if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment.
2. The method of claim 1, further comprising:
periodically detecting the integral gray average value of the part image of the mobile phone;
judging whether the integral gray level average value is larger than a preset integral gray level average value threshold value or not,
if yes, second alarm information used for indicating that the collected part image of the mobile phone is unstable in gray level is generated;
if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment.
3. The method of claim 1, wherein the method further comprises:
periodically detecting a rectangular frame of a gray detection area corresponding to each part, and obtaining a part proportion corresponding to each part according to the part proportion in a part image of the mobile phone;
judging whether the division ratio of the part is larger than a preset division ratio threshold corresponding to the part or not,
if yes, fourth alarm information used for indicating that the size of the collected part image of the mobile phone is unstable is generated;
if not, returning to the step of acquiring the part image of the mobile phone through the X-ray equipment.
4. The method of any of claims 1 to 3, wherein the method further comprises:
and presetting at least one detection threshold value in the starting detection time, the detection period and the detection of the periodic detection.
5. A non-transitory storage medium having stored thereon computer readable instructions which, when executed by a processor, cause the processor to implement the method of any one of claims 1 to 4.
6. An apparatus for image stability detection, wherein the apparatus comprises:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
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