CN109119009A - Screen defect inspection method, detection device, system and storage medium - Google Patents
Screen defect inspection method, detection device, system and storage medium Download PDFInfo
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
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Abstract
The present invention provides screen defect inspection method, detection device, system and storage mediums.Wherein, screen defect inspection method includes: to shoot to terminal screen, obtains shooting image, wherein shooting image includes the solid-color image that terminal is shown；Parsing shooting image, to obtain the display defect information of terminal screen.The detection accuracy of display defect can be improved in the present invention.
Description
Technical field
The invention belongs to equipment detection fields more particularly to screen defect inspection method, detection device, system and storage to be situated between
Matter.
Background technique
Before recycling terminal, need to carry out performance detection to terminal in advance, to assess its value, wherein eventually
End can be mobile phone, tablet computer or intelligent wearable device etc..During executing the performance detection to terminal, need to end
The display performance of end screen is detected, to determine whether screen has display defect such as hot spot, bright spot, colour cast, dim spot etc..It is existing
Method be to remove to have seen whether related display defect by naked eyes by testing staff, and the side of observation defect is gone to by naked eyes
Formula, which may result in, omits some subtle defects, so that defects detection is inaccurate.
Summary of the invention
In view of this, the embodiment of the invention provides screen defect inspection method, detection device, system and storage mediums.
First aspect of the embodiment of the present invention provides a kind of screen defect inspection method, comprising:
Terminal screen is shot, shooting image is obtained, wherein the shooting image includes the pure color figure that terminal is shown
Picture；
The shooting image is parsed, to obtain the display defect information of terminal screen.
Preferably, the display defect information includes abnormal brightness line segment information and/or abnormal luminance point information；
The parsing shooting image, to obtain the display defect information of terminal screen, comprising:
The shooting image is parsed, the display image of terminal screen is extracted；
The display image is parsed, abnormal brightness line segment information and/or abnormal luminance point information are extracted.
Preferably, the solid-color image is white image, and the exception brightness line segment information is concealed wire information, the exception
Luminance point information is dim spot information.
Preferably, the solid-color image is black image, and the exception brightness line segment information is bright line information, the exception
Luminance point information is bright point information.
Preferably, the display defect information is colour cast information；
The parsing shooting image, to obtain the display defect information of terminal screen, comprising:
The shooting image is parsed, the display image of terminal screen is extracted；
Obtain the standard RGB values of the display image；
Obtain the difference of maximum value and minimum value in the standard RGB values；
If the difference is greater than the first preset threshold, it is based on the difference, obtains the colour cast information.
Preferably, the standard RGB values for obtaining the display image, comprising:
Obtain the rgb value of multiple pixels in the display image；
The rgb value of each pixel is counted, the maximum rgb value of probability of occurrence is obtained；
The maximum rgb value of the probability of occurrence is determined as to the standard RGB values of the display image.
Preferably, the solid-color image is white image.
Preferably, the display defect information is abnormal luminance area information；
The parsing shooting image, to obtain the display defect information of terminal screen, comprising:
The shooting image is parsed, the display image of terminal screen is extracted；
The display image is parsed, abnormal luminance area information is extracted.
Preferably, the parsing display image, extracts abnormal luminance area information, comprising:
Obtain the standard RGB values of the display image；
Obtain the rgb value of each pixel in the display image；
Determine exception luminance pixel, the reference value of the rgb value of the exception luminance pixel and the ginseng of the standard RGB value
The absolute value for examining the difference of value is greater than the second preset threshold；
Obtain the abnormal luminance area information that the abnormal luminance pixel of continuous adjacent is formed.
Preferably, the parsing display image, extracts abnormal luminance area information, comprising:
Obtain the abnormal brightness line segment information and abnormal luminance point information of terminal screen；
The abnormal brightness line segment information and the abnormal luminance point information are filtered out from the display image, are filtered
Image；
The filtering image is parsed, abnormal luminance area information is extracted.
Second aspect of the embodiment of the present invention provides a kind of screen defect inspection method, comprising:
Terminal screen is shot, shooting image is obtained, wherein the shooting image includes the pure color figure that terminal is shown
Picture；
The shooting image is sent to terminal or server, so that terminal or server parse the shooting image, is obtained
To the display defect information of terminal screen；
Receive the display defect information of terminal or server transmission.
The third aspect of the embodiment of the present invention provides a kind of screen defect inspection method, comprising:
Terminal screen is shot, the first shooting image is obtained, wherein the first shooting image includes terminal screen
First color image of display；
Terminal screen is shot, the second shooting image is obtained, wherein the second shooting image includes terminal screen
Second color image of display；
Terminal screen is shot, third shooting image is obtained, wherein the third shooting image includes terminal screen
The third color image of display；
The first shooting image, the second shooting image and third shooting image are parsed, terminal screen is obtained
Facula information.
Preferably, first color image is red image, and second color image is green image, the third
Color image is blue image.
Fourth aspect of the embodiment of the present invention provides a kind of terminal recovery system, including memory, processor and storage
In the memory and the computer program that can run on the processor, the processor execute the computer program
Screen defect inspection method described in Shi Shixian any of the above-described.
5th aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, and the inspection of screen defect described in any of the above-described is realized when the computer program is executed by processor
Survey method.
Existing beneficial effect is the embodiment of the present invention compared with prior art:
By shooting to terminal screen, shooting image is obtained, and parse the shooting image, to determine terminal screen
Display defect information, to improve the detection accuracy of display defect.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for ability
For the those of ordinary skill of domain, without any creative labor, it can also be obtained according to these attached drawings others
Attached drawing.
Fig. 1 is the first pass schematic diagram of screen defect inspection method provided in an embodiment of the present invention；
Fig. 2 is the second procedure schematic diagram of screen defect inspection method provided in an embodiment of the present invention；
Fig. 3 is the third flow diagram of screen defect inspection method provided in an embodiment of the present invention；
Fig. 4 is the 4th flow diagram of screen defect inspection method provided in an embodiment of the present invention；
Fig. 5 is the 5th flow diagram of screen defect inspection method provided in an embodiment of the present invention；
Fig. 6 is the 6th flow diagram of screen defect inspection method provided in an embodiment of the present invention；
Fig. 7 is the 7th flow diagram of screen defect inspection method provided in an embodiment of the present invention；
Fig. 8 is the structural schematic diagram of detection device provided in an embodiment of the present invention.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Fig. 1 is please referred to, is the first pass schematic diagram of the screen defect inspection method of the embodiment of the present invention.This method packet
It includes:
Step 101, terminal screen is shot, obtains shooting image.Wherein, shooting image include terminal show it is pure
Chromatic graph picture.Solid-color image refers to image only with a kind of color.Specifically, as an implementation, it can be sent out to terminal
The first instruction is sent, wherein the first instruction shows solid-color image for controlling terminal；Then the screen of terminal is shot again, is obtained
To shooting image.As another embodiment, the second instruction of terminal is received first, wherein the second instruction is that terminal is shown
It is being sent after solid-color image and for controlling the instruction that detection device shoots terminal screen；It is then based on the second instruction,
Terminal screen is shot, shooting image is obtained.By making terminal show solid-color image, be conducive to the display to terminal screen
The identification of defect.
Step 102, parsing shooting image, to obtain the display defect information of terminal screen.Specifically, this step includes:
Parsing shooting image, extracts characteristic information, wherein characteristic information can be shape information and/or colour brightness information；According to
Characteristic information analysis and the display defect information for determining terminal screen.The step of wherein parsing shooting image, extraction characteristic information,
Include: that binary conversion treatment is done to shooting image, obtains binary image；Characteristic information is extracted from binary image.Display lacks
Falling into information includes abnormal brightness line segment information, abnormal luminance point information, abnormal luminance area information, and/or colour cast information.Its
In, abnormal brightness line segment information includes concealed wire information and/or bright line information；Abnormal luminance point information include bright point information and/or
Dim spot information；Abnormal luminance area information is specially facula information.
It, can be with analysis shows that defect information, to determine end panel in addition, in the display defect information for obtaining terminal screen
The display performance of curtain.
The embodiment of the present invention obtains shooting image, and parse the shooting image, with true by shooting to terminal screen
The display defect information of terminal screen is determined, to improve display defect detection accuracy.
Referring to figure 2., be the embodiment of the present invention screen defect inspection method second procedure schematic diagram.The embodiment needle
The detection of abnormal brightness line segment information and abnormal luminance point information is introduced, specifically, screen defect inspection method packet
It includes:
Step 201, terminal screen is shot, obtains shooting image.Wherein, shooting image include terminal show it is pure
Chromatic graph picture.Specifically, step 201 includes: as an implementation, the first instruction can be sent to terminal, wherein first refers to
It enables and shows solid-color image for controlling terminal；Then the screen of terminal is shot again, obtains shooting image.Further,
Determining that the first instruction is shown for controlling terminal when detecting to terminal screen progress bright point information and/or bright line information
Black image facilitates the identification to bright spot and/or bright line by showing that contrast can be improved in black image；At determining pair
When terminal screen progress dim spot information and/or concealed wire information are detected, the first instruction is displayed in white image for controlling terminal,
Contrast can be provided by being displayed in white image, facilitates the identification to dim spot and/or bright line.
As another embodiment, the second instruction of terminal is received first, wherein the second instruction is that terminal shows pure color
It is being sent after image and carry out abnormal brightness line segment information and/or abnormal luminance point infomation detection for controlling detection device
Instruction；It is then based on the second instruction, terminal screen is shot, obtains shooting image.If terminal shows black image, the
Two instructions carry out bright spot and/or bright line detection for controlling detection device；If terminal is displayed in white image, the second instruction is used for
It controls detection device and carries out dim spot and/or concealed wire detection.
Step 202, parsing shooting image, extracts the display image of terminal screen.Shooting image includes background image and shows
Diagram picture can remove background image, to obtain end in order to avoid background image causes interference to subsequent display defect information
Hold the display image of screen.Specifically, step 202, comprising: the characteristic information of display image or background image is obtained, wherein special
Reference breath can be colouring information and/or shape information；In shooting image, the region to match with this feature information is inquired；
It will be determined as showing image or background image with the region that characteristic information matches.When extraction be background image characteristic information
When, step 202 further includes removing background image from shooting image, obtains the display image of terminal screen.
Step 203, parsing display image extracts abnormal brightness line segment information and/or abnormal luminance point information.Specifically,
Step 203 can carry out binary conversion treatment to display image, obtain binary image, and based on Hough Line Segment Detection Algorithm to two
Value image is detected, and abnormal brightness line segment information is obtained；Abnormal brightness line segment information is removed from binary image again, is obtained
To processing image；Dissection process image, identification and the abnormal luminance point information of extraction.Before extracting abnormal luminance point information, first
Abnormal brightness line segment information is removed, the identification and extraction of abnormal luminance point information can be caused to avoid abnormal brightness line segment information
Interference.
Abnormal brightness line segment information includes quantity and length of abnormal brightness line segment etc., and abnormal luminance point information includes abnormal
The quantity of luminance point.Different abnormal brightness line segment information or abnormal luminance point information, corresponding different display performance grade.Base
In abnormal brightness line segment information or abnormal luminance point information, the display performance grade of terminal screen can be determined.
Referring to figure 3., be the embodiment of the present invention screen defect inspection method third flow diagram.The embodiment needle
The detection of colour cast information is introduced, specifically, screen defect inspection method includes:
Step 301, terminal screen is shot, obtains shooting image.Wherein, shooting image include terminal show it is pure
Chromatic graph picture.Specifically, as an implementation, the first instruction can be sent to terminal, wherein the first instruction is for controlling end
End display solid-color image；Then the screen of terminal is shot again, obtains shooting image.As another embodiment, first
First receive terminal second instruction, wherein second instruction be terminal show solid-color image after send and for control detection set
The standby instruction that terminal screen is shot；It is then based on the second instruction, terminal screen is shot, obtains shooting image.
Preferably, solid-color image is white image.When terminal screen is displayed in white image, if terminal screen does not have colour cast, theoretically
Say, the red luma value (hereinafter referred to as R value) of each pixel, Green brightness value (hereinafter referred to as G value) and blue intensity values (with
Lower abbreviation B value) size all should be equal.
Step 302, parsing shooting image, extracts the display image of terminal screen.Shooting image includes background image and shows
Diagram picture can remove background image, to obtain end in order to avoid background image causes interference to subsequent display defect information
Hold the display image of screen.
Step 303, the standard RGB values of display image are obtained.Wherein standard RGB values are that canonical red brightness value, standard are green
Colour brightness value and standard blue intensity values.Specifically, obtaining standard RGB values includes: the red of multiple pixels in acquisition display image
Colour brightness value, Green brightness value and blue intensity values (hereinafter referred to as rgb value)；The rgb value of each pixel is counted, obtains and occurs generally
The maximum rgb value of rate；The maximum rgb value of the probability of occurrence is determined as to show the standard RGB values of image.It is calculated to reduce
Amount improves detection speed, can sample and obtain the rgb value of multiple pixels in display image.Wherein, the RGB of each pixel is counted
Value, obtaining the maximum rgb value of probability of occurrence includes two kinds of embodiments, the first, all rgb values are clustered, are obtained
Then the cluster of multiple rgb values calculates separately the weight of each cluster, the mean value of the maximum cluster of weight is determined as standard RGB values.The
Two kinds, each rgb value is obtained into quotient divided by default integer respectively；To the decimal place for going quotient unless each, each integer quotient is obtained；It obtains
The product for taking each integer quotient Yu default integer obtains each product value, counts the frequency of occurrence of each product value；Frequency of occurrence is most
Product value, be determined as standard RGB values.
Step 304, the difference of maximum value and minimum value in standard RGB values is obtained.
Step 305, judge whether difference is greater than the first preset threshold.If difference determines end less than the first preset threshold
Screen not colour cast is held to determine terminal screen colour cast if difference is greater than the first preset threshold.
Step 306, if difference is greater than the first preset threshold, it is based on difference, obtains colour cast information.What step 304 obtained
The size of difference determines the colour cast degree of screen, and difference is big, shows that colour cast is serious, and difference is small, shows slight colour cast, therefore,
This difference can be determined as to colour cast information, equally, can also determine that the colour cast degree of terminal screen is (such as slight inclined based on difference
Color, moderate colour cast or severe colour cast), and this colour cast degree is determined as colour cast information.
Referring to figure 4., be the embodiment of the present invention screen defect inspection method the 4th flow diagram.The embodiment needle
The detection of abnormal luminance area information (i.e. facula information) is introduced, specifically, screen defect inspection method includes:
Step 401, terminal screen is shot, obtains shooting image.Wherein, shooting image include terminal show it is pure
Chromatic graph picture.Solid-color image can be with red image, blue image or green image.Specifically, as an implementation, Ke Yixiang
Terminal sends the first instruction, wherein the first instruction shows solid-color image for controlling terminal；Then the screen of terminal is carried out again
Shooting obtains shooting image.As another embodiment, the second instruction of terminal is received first, wherein the second instruction is eventually
It holds being sent after showing solid-color image and is used to control the instruction that detection device shoots terminal screen；It is then based on
Two instructions, shoot terminal screen, obtain shooting image.
Step 402, parsing shooting image, extracts the display image of terminal screen.Shooting image includes background image and shows
Diagram picture can remove background image, to obtain end in order to avoid background image causes interference to subsequent display defect information
Hold the display image of screen.
Step 403, parsing display image extracts abnormal luminance area information.Specifically, step 403 includes: to obtain display
The standard RGB values of image；Obtain the rgb value of each pixel in display image；Determine exception luminance pixel, wherein abnormal brightness
The absolute value of the reference value difference of the reference value and standard RGB values of the rgb value of pixel is greater than the second preset threshold；Obtain continuous phase
The abnormal luminance area information that adjacent abnormal luminance pixel is formed.As an implementation, the reference value of rgb value is rgb value
In any value, the reference values of standard RGB values is any value in standard RGB values；As another embodiment, RGB value
Reference value is the average value of rgb value, and the reference value of standard RGB values is the average value of standard RGB values；A kind of also embodiment,
The reference value of rgb value be rgb value and value, the reference values of standard RGB values be standard RGB values and value.
Specifically, the step of obtaining the standard RGB values of display image, comprising: obtain the RGB of multiple pixels in display image
Value；The rgb value of each pixel is counted, the maximum rgb value of probability of occurrence is obtained；The maximum rgb value of the probability of occurrence is determined as
Show the standard RGB values of image.In order to reduce calculation amount, detection speed is improved, multiple pictures in the acquisition display image that can sample
The rgb value of element.Wherein, the rgb value of each pixel is counted, embodiment that there are two types of the acquisition maximum rgb values of probability of occurrence, first
Kind, all rgb values are clustered, the cluster of multiple rgb values is obtained, then calculate separately the weight of each cluster, most by weight
The mean value of big cluster is determined as standard RGB values.Second, each rgb value is obtained into quotient divided by default integer respectively；It is each to removing
The decimal place of a quotient obtains each integer quotient；The product for obtaining each integer quotient Yu default integer, obtains each product value, and statistics is each
The frequency of occurrence of a product value；By the most product value of frequency of occurrence, it is determined as standard R G B value.
Specifically, it is determined that the step of abnormal luminance pixel, comprising: judge the rgb value and standard RGB values of each tool pixel respectively
The absolute value of difference whether be greater than the second preset threshold；The corresponding pixel of difference that absolute value is greater than the second preset threshold is true
It is set to abnormal luminance pixel, the corresponding pixel of difference that absolute value is less than or equal to the second preset threshold is determined as normal brightness
Pixel；Determine all abnormal luminance pixels of continuous adjacent.
Specifically, the step of obtaining the abnormal luminance area information of abnormal luminance pixel formation of continuous adjacent, comprising: will
The region that all abnormal luminance pixels of continuous adjacent are formed, is determined as abnormal luminance area；Count the number of abnormal luminance area
Mesh, and the area of different normal luminance area is counted respectively；Number and area based on statistics determine exception luminance area letter
Breath.
Referring to figure 5., be the embodiment of the present invention screen defect inspection method the 5th flow diagram.The embodiment needle
The detection of abnormal luminance area information (i.e. facula information) is described further, specifically, screen defect inspection method includes:
Step 501, terminal screen is shot, obtains shooting image.Wherein, shooting image include terminal show it is pure
Chromatic graph picture.
Step 502, parsing shooting image, extracts the display image of terminal screen.
Step 503, the abnormal brightness line segment information and abnormal luminance point information of terminal screen are obtained.Specifically.It is abnormal bright
The acquisition methods for spending line segment information and abnormal luminance point information are implemented the second of screen defect inspection method of the invention
It is discussed in detail in example, and therefore not to repeat here.
Step 504, abnormal brightness line segment information and abnormal luminance point information are filtered out from display image, obtain filtering figure
Picture.Abnormal brightness line segment information and abnormal luminance point information interfere the extraction of abnormal luminance area information in order to prevent,
It needs to filter out abnormal brightness line segment information and abnormal luminance point information from display image.
Step 505, parsing filtering image extracts abnormal luminance area information.This step is made in a upper embodiment
It is discussed in detail, and therefore not to repeat here.
The embodiment of the present invention by the way that abnormal brightness line segment information and abnormal luminance point information are filtered out from display image, from
Rather than avoid abnormal brightness line segment information and abnormal luminance point information and the extraction of abnormal luminance area information is interfered, it mentions
The high accuracy for extracting abnormal luminance area information extraction.
Fig. 6 is please referred to, is the 6th flow diagram of the screen defect inspection method of the embodiment of the present invention.The embodiment needle
The detection of abnormal luminance area information (i.e. facula information) is described further, specifically, screen defect inspection method includes:
Step 601, terminal screen is shot, obtains the first shooting image, wherein described first, which shoots image, includes
The first color image that terminal screen is shown.Specifically, as an implementation, the first instruction can be sent to terminal,
In the first instruction show the first color image for controlling terminal；Then the screen of terminal is shot again, obtains shooting figure
Picture.As another embodiment, the second instruction of terminal is received first, wherein the second instruction is that terminal shows the first color
It is being sent after image and for controlling the instruction that detection device shoots terminal screen；It is then based on the second instruction, to end
End screen is shot, and shooting image is obtained.
Step 602, terminal screen is shot, obtains the second shooting image, wherein described second, which shoots image, includes
The second color image that terminal screen is shown.Specifically, as an implementation, third instruction can be sent to terminal,
Middle third instruction shows the second color image for controlling terminal；Then the screen of terminal is shot again, obtains shooting figure
Picture.As another embodiment, the 4th instruction of terminal is received first, wherein the 4th instruction is that terminal shows the second color
It is being sent after image and for controlling the instruction that detection device shoots terminal screen；It is then based on the 4th instruction, to end
End screen is shot, and shooting image is obtained.
Step 603, terminal screen is shot, obtains third shooting image, wherein the third shoots image and includes
The third color image that terminal screen is shown.Specifically, as an implementation, the 5th instruction can be sent to terminal,
In the 5th instruction for controlling terminal show third color image；Then the screen of terminal is shot again, obtains shooting figure
Picture.As another embodiment, the 6th instruction of terminal is received first, wherein the 6th instruction is that terminal shows third color
It is being sent after image and for controlling the instruction that detection device shoots terminal screen；It is then based on the 6th instruction, to end
End screen is shot, and shooting image is obtained.
Step 604, the first shooting of parsing image, the second shooting image and third shoot image, obtain the light of terminal screen
Spot information.Specifically, which includes: parsing the first shooting image, obtains corresponding first facula information of the first color image；
Parsing the second shooting image, obtains corresponding second facula information of the second color image；It parses third and shoots image, obtain third
Corresponding second facula information of color image；The first facula information, the second facula information and third facula information are counted, end is obtained
Hold the facula information of screen.
Specifically, the first color image is red image, and the second color image is green image, and third color image is indigo plant
Chromatic graph picture.
Due to hot spot color there are many, can partially red, partially green or indigo plant etc. partially, if being only not by a kind of color image
All spot detections can be come out, for example red hot spot is difficult to identify and detect in green image, therefore,
The embodiment of the present invention obtains at least three kinds of color images that terminal screen is shown, obtains three kinds of shooting figures by way of shooting
Then picture parses respectively, to obtain the facula information of terminal screen, can identify the hot spot of different colours.
Fig. 7 is please referred to, is the 7th flow diagram of the screen defect inspection method of the embodiment of the present invention.Specifically, shield
Curtain defect inspection method include:
Step 701, terminal screen is shot, obtain shooting image, wherein shooting image include terminal show it is pure
Chromatic graph picture.Specifically, as an implementation, the first instruction can be sent to terminal, wherein the first instruction is for controlling end
End display solid-color image；Then the screen of terminal is shot again, obtains shooting image.As another embodiment, first
First receive terminal second instruction, wherein second instruction be terminal show solid-color image after send and for control detection set
The standby instruction that terminal screen is shot；It is then based on the second instruction, terminal screen is shot, obtains shooting image.
By making terminal show solid-color image, be conducive to the identification to the display defect of terminal screen.
Step 702, shooting image is sent to terminal or server, so that terminal or server parsing shooting image, obtain
To the display defect information of terminal screen.Display defect information includes abnormal brightness line segment information, abnormal luminance point information, exception
Luminance area information, and/or colour cast information.Wherein, abnormal brightness line segment information includes concealed wire information and/or bright line information；It is different
Normal luminance point information includes bright point information and/or dim spot information；Abnormal luminance area information is specially facula information.
Step 703, the display defect information of terminal or server transmission is received.
The method of the embodiment of the present invention is executed by detection device, and detection device is sent to terminal or server for image is shot
It is parsed, can reduce the data processing amount of detection device, improve the speed of service of detection device.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In addition, the embodiment of the invention also provides a kind of computer readable storage medium, computer readable storage medium is deposited
Computer program is contained, above-mentioned screen defect inspection method is realized when computer program is executed by processor.
In addition, the embodiment of the invention also provides a kind of detection device, the detection device include memory, processor and
The computer program that can be run in memory and on a processor is stored, processor realizes above-mentioned screen when executing computer program
Curtain defect inspection method.
In addition, the terminal recovery system includes above-mentioned detection the embodiment of the invention also provides a kind of terminal recovery system
Equipment.
Fig. 8 is the structural schematic diagram for the detection device that one embodiment of the invention provides.As shown in figure 8, the inspection of the embodiment
Measurement equipment 8 includes: processor 80, memory 81 and is stored in the memory 81 and can run on the processor 80
Computer program 82, such as screen defects detection program.The processor 80 is realized when executing the computer program 82
State the step in each screen defect inspection method embodiment, such as step 101 shown in FIG. 1 is to 102.
Illustratively, the computer program 82 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 81, and are executed by the processor 80, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 82 in the detection device 8 is described.For example, the computer program 82 can be divided
Be cut into shooting module and parsing module, each module concrete function is as follows: shooting module is obtained for shooting to terminal screen
Shoot image, wherein the shooting image includes the solid-color image that terminal is shown；Parsing module, for parsing the shooting figure
Picture, to obtain the display defect information of terminal screen.
It will be understood by those skilled in the art that Fig. 8 is only the example of detection device 8, do not constitute to detection device 8
It limits, may include perhaps combining certain components or different components, such as described than illustrating more or fewer components
Detection device can also include input-output equipment, network access equipment, bus etc..
Alleged processor 80 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 81 can be the internal storage unit of the detection device 8, for example, detection device 8 hard disk or
Memory.The memory 81 is also possible to the External memory equipment of the detection device 8, such as is equipped on the detection device 8
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card,
Flash card (Flash Card) etc..Further, the memory 81 can also both include the storage inside of the detection device 8
Unit also includes External memory equipment.The memory 81 is for storing needed for the computer program and the detection device
Other programs and data.The memory 81 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and
Telecommunication signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (16)
1. a kind of screen defect inspection method characterized by comprising
Terminal screen is shot, shooting image is obtained, wherein the shooting image includes the solid-color image that terminal is shown；
The shooting image is parsed, to obtain the display defect information of terminal screen.
2. screen defect inspection method as described in claim 1, which is characterized in that the display defect information includes abnormal bright
Spend line segment information and/or abnormal luminance point information；
The parsing shooting image, to obtain the display defect information of terminal screen, comprising:
The shooting image is parsed, the display image of terminal screen is extracted；
The display image is parsed, abnormal brightness line segment information and/or abnormal luminance point information are extracted.
3. screen defect inspection method as claimed in claim 2, which is characterized in that the solid-color image is white image, institute
Stating abnormal brightness line segment information is concealed wire information, and the exception luminance point information is dim spot information.
4. screen defect inspection method as claimed in claim 2, which is characterized in that the solid-color image is black image, institute
Stating abnormal brightness line segment information is bright line information, and the exception luminance point information is bright point information.
5. screen defect inspection method as described in claim 1, which is characterized in that the display defect information is colour cast letter
Breath；
The parsing shooting image, to obtain the display defect information of terminal screen, comprising:
The shooting image is parsed, the display image of terminal screen is extracted；
Obtain the standard RGB values of the display image；
Obtain the difference of maximum value and minimum value in the standard RGB values；
If the difference is greater than the first preset threshold, it is based on the difference, obtains the colour cast information.
6. screen defect inspection method as claimed in claim 5, which is characterized in that the standard for obtaining the display image
Rgb value, comprising:
Obtain the rgb value of multiple pixels in the display image；
The rgb value of each pixel is counted, the maximum rgb value of probability of occurrence is obtained；
The maximum rgb value of the probability of occurrence is determined as to the standard RGB values of the display image.
7. screen defect inspection method as claimed in claim 5, which is characterized in that the solid-color image is white image.
8. screen defect inspection method as described in claim 1, which is characterized in that the display defect information is abnormal brightness
Area information；
The parsing shooting image, to obtain the display defect information of terminal screen, comprising:
The shooting image is parsed, the display image of terminal screen is extracted；
The display image is parsed, abnormal luminance area information is extracted.
9. screen defect inspection method as claimed in claim 8, which is characterized in that the parsing display image extracts
Abnormal luminance area information, comprising:
Obtain the standard RGB values of the display image；
Obtain the rgb value of each pixel in the display image；
Determine exception luminance pixel, the reference value of the reference value and standard RGB values of the rgb value of the exception luminance pixel
The absolute value of difference is greater than the second preset threshold；
Obtain the abnormal luminance area information that the abnormal luminance pixel of continuous adjacent is formed.
10. screen defect inspection method as claimed in claim 8, which is characterized in that the parsing display image extracts
Abnormal luminance area information, comprising:
Obtain the abnormal brightness line segment information and abnormal luminance point information of terminal screen；
The abnormal brightness line segment information and the abnormal luminance point information are filtered out from the display image, obtain filtering figure
Picture；
The filtering image is parsed, abnormal luminance area information is extracted.
11. a kind of screen defect inspection method characterized by comprising
Terminal screen is shot, shooting image is obtained, wherein the shooting image includes the solid-color image that terminal is shown；
The shooting image is sent to terminal or server, so that terminal or server parse the shooting image, obtains end
Hold the display defect information of screen；
Receive the display defect information of terminal or server transmission.
12. a kind of screen defect inspection method characterized by comprising
Terminal screen is shot, the first shooting image is obtained, wherein the first shooting image includes that terminal screen is shown
The first color image；
Terminal screen is shot, the second shooting image is obtained, wherein the second shooting image includes that terminal screen is shown
The second color image；
Terminal screen is shot, third shooting image is obtained, wherein the third shooting image includes that terminal screen is shown
Third color image；
The first shooting image, the second shooting image and third shooting image are parsed, the light of terminal screen is obtained
Spot information.
13. screen defect inspection method as claimed in claim 12, which is characterized in that first color image is red figure
Picture, second color image are green image, and the third color image is blue image.
14. a kind of detection device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 13 when executing the computer program
Any one screen defect inspection method.
15. a kind of terminal recovery system, which is characterized in that including detection device as claimed in claim 14.
16. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization screen defect inspection method as described in any one of claim 1 to 13 when the computer program is executed by processor.
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| CN201710496030.XA CN109119009A (en) | 2017-06-26 | 2017-06-26 | Screen defect inspection method, detection device, system and storage medium |
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| CN201710496030.XA CN109119009A (en) | 2017-06-26 | 2017-06-26 | Screen defect inspection method, detection device, system and storage medium |
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| CN201710496030.XA Pending CN109119009A (en) | 2017-06-26 | 2017-06-26 | Screen defect inspection method, detection device, system and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110044405A (en) * | 2019-05-16 | 2019-07-23 | 吉林大学 | A kind of automobile instrument automatic detection device and method based on machine vision |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1601584A (en) * | 2003-04-18 | 2005-03-30 | 夏普株式会社 | Color display device, color compensation method, color compensation program, and storage medium readable by computer |
| CN101017260A (en) * | 2006-02-09 | 2007-08-15 | Lg.菲利浦Lcd株式会社 | Apparatus and method for driving of liquid crystal display device |
| CN103035210A (en) * | 2013-01-15 | 2013-04-10 | 惠州Tcl移动通信有限公司 | Screen visual expansion method and screen visual expansion system for mobile terminal |
| CN103139572A (en) * | 2011-11-24 | 2013-06-05 | 比亚迪股份有限公司 | Sensitization device and method and device for white balance of sensitization device |
| CN103680449A (en) * | 2013-12-17 | 2014-03-26 | Tcl集团股份有限公司 | Method and device for removing liquid crystal displayer mura |
| CN104966493A (en) * | 2015-07-31 | 2015-10-07 | 西安诺瓦电子科技有限公司 | Method for compensating spliced bright and dark lines |
-
2017
- 2017-06-26 CN CN201710496030.XA patent/CN109119009A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1601584A (en) * | 2003-04-18 | 2005-03-30 | 夏普株式会社 | Color display device, color compensation method, color compensation program, and storage medium readable by computer |
| CN101017260A (en) * | 2006-02-09 | 2007-08-15 | Lg.菲利浦Lcd株式会社 | Apparatus and method for driving of liquid crystal display device |
| CN103139572A (en) * | 2011-11-24 | 2013-06-05 | 比亚迪股份有限公司 | Sensitization device and method and device for white balance of sensitization device |
| CN103035210A (en) * | 2013-01-15 | 2013-04-10 | 惠州Tcl移动通信有限公司 | Screen visual expansion method and screen visual expansion system for mobile terminal |
| CN103680449A (en) * | 2013-12-17 | 2014-03-26 | Tcl集团股份有限公司 | Method and device for removing liquid crystal displayer mura |
| CN104966493A (en) * | 2015-07-31 | 2015-10-07 | 西安诺瓦电子科技有限公司 | Method for compensating spliced bright and dark lines |
Cited By (44)
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Application publication date: 20190101 |