CN106022379A - Method and device for detecting depreciation degree of screen - Google Patents
Method and device for detecting depreciation degree of screen Download PDFInfo
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- CN106022379A CN106022379A CN201610348444.3A CN201610348444A CN106022379A CN 106022379 A CN106022379 A CN 106022379A CN 201610348444 A CN201610348444 A CN 201610348444A CN 106022379 A CN106022379 A CN 106022379A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/759—Region-based matching
Abstract
The invention relates to a method and device for detecting the depreciation degree of a screen. The method comprises that an image of a to-be-detected device as well as product information corresponding to the device are obtained; a screen area of the device is determined in the image according to the product information; an image of the screen area is binarized, a noise point area is obtained from a binary image, and the proportion of the noise point area in the screen area is calculated; a geometric shape included in the binary image is identified; and the depreciation degree of the screen of the device is determined according to the proportion of the noise point area in the screen area and the identified geometric shape. The method and device can evaluate the depreciation degree of the screen reasonably and accurately.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to detection screen based on image procossing new and old
The method and apparatus of degree.
Background technology
Along with the renewal iteration speed of mobile device is the most drastically accelerated, for how processing the hands being eliminated
The problem that the equipment such as machine, PAD has become social concerns.Somebody select directly by the superseded idleness of equipment with
In Jia, take the living space of people；Or superseded equipment is arbitrarily abandoned by somebody, but mobile phone,
The such equipment of PAD easily causes the pollution of environment.
It addition, also someone selects to be sold, it usually needs through the situation of special people's former detection equipment,
Carry out valuation recovery, for sell user for, the most bothersome arduously, not convenient, the most right
For reclaiming businessman, human cost is higher, and there is manual detection and assess inaccurate problem.
Summary of the invention
Based on this, the method and apparatus of the detection new and old degree of screen that the embodiment of the present invention provides, it is possible to rationally accurate
Really detect the new and old degree of screen of equipment.
One aspect of the present invention provides the method for the detection new and old degree of screen, including:
Obtain the image of equipment to be detected, and the product information that described equipment is corresponding；
From described image, the screen area of equipment is determined according to described product information；
The image of described screen area is carried out binary conversion treatment, obtains making an uproar in the image after binary conversion treatment
Sound point region, calculates the ratio that described noise spot region is shared in screen area；
Identify the geometry comprised in the image after binary conversion treatment；
The ratio shared in screen area according to described noise spot region and the geometry recognized, determine
The new and old degree of screen of equipment.
Another aspect of the present invention provides a kind of device detecting the new and old degree of screen, including:
Data obtaining module, for obtaining the image of equipment to be detected, and the product that described equipment is corresponding
Information；
Screen detection module, for determining the screen area of equipment from described image according to described product information
Territory；
Image processing module, for the image of described screen area is carried out binary conversion treatment, obtains binaryzation
Noise spot region in image after process, calculates the ratio that described noise spot region is shared in screen area；
And the geometry comprised in the image after identifying binary conversion treatment；
New and old degree evaluation module, for the ratio shared in screen area according to described noise spot region and knowledge
The geometry being clipped to, determines the new and old degree of screen of equipment.
Technique scheme, by obtaining the image of equipment to be detected, and the product that described equipment is corresponding
Information；From described image, the screen area of equipment is determined according to described product information；To described screen area
The image in territory carries out binary conversion treatment, obtains the noise spot region in the image after binary conversion treatment, calculates institute
State the ratio that noise spot region is shared in screen area；Comprise in image after identification binary conversion treatment is several
What shape；The ratio shared in screen area according to described noise spot region and the geometry recognized,
Determine the new and old degree of screen of equipment.The scheme of the above embodiment of the present invention, it is possible to automatically detect the screen of equipment
The new and old degree of curtain, and assessment result accuracy is high.
Accompanying drawing explanation
Fig. 1 is the indicative flowchart of the method for the detection new and old degree of screen of an embodiment；
Fig. 2 is the indicative flowchart of the method for the detection new and old degree of screen of another embodiment；
Fig. 3 is the schematic diagram of the device of the detection new and old degree of screen of an embodiment.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and reality
Execute example, the present invention is further elaborated.Only should be appreciated that specific embodiment described herein
Only in order to explain the present invention, it is not intended to limit the present invention.
Fig. 1 is the indicative flowchart of the method for the detection new and old degree of screen of an embodiment；In this embodiment,
Be be applied to server in this way as a example by illustrate.
As it is shown in figure 1, the method for the detection new and old degree of screen in the present embodiment includes step:
S11, obtains the image of equipment to be detected, and the product information that described equipment is corresponding；
During the present invention implements, equipment can be the electronic equipment that mobile phone, PAD etc. have display screen.Can pass through
The device such as photographic head, scanner obtains the image of equipment to be detected.Such as: mobile phone is placed in default inspection
Surveying on platform, system detects when mobile phone is in predetermined position, starts the device such as photographic head, scanner
Obtain the image information of mobile phone.
Further, in order to avoid ambient interferences, it is thus achieved that high-quality equipment drawing picture, the specific back of the body can be used
Scape is as the background of Image Acquisition, such as: before scanning cell phone, first one luminescence not placing mobile phone of scanning
Plate picture is as background picture；Mobile phone is placed on described luminous plaque, scanning cell phone picture；By picture of mobile telephone
Subtract each other with background picture, draw high-quality handset image.Owing to luminous plaque is uncomplicated as background and bright
Degree uniformly, is affected less so that the handset image quality obtained is higher by shade after placing mobile phone.
It is understood that the present invention implements, middle need to obtain is the image in equipment front, is i.e. provided with
The image of the one side of screen.
S12, determines the screen area of equipment from described image according to described product information；
Preferably, in the embodiment of the present invention, the product information that equipment is corresponding includes equipment brand and unit type
Etc. information；These information can be inputted by user, or is automatically identified by equipment drawing picture.Get and set
After spare unit board and unit type, the product database preset by inquiry, the screen cloth of this equipment can be obtained
Office's information and screen size；And then can determine in described image according to screen layout's information and screen size and set
Standby screen area.
The above-mentioned screen layout's information of the embodiment of the present invention refers to the screen set-up mode of distinct device may
There is difference, this information is for determining the position that equipment front screen is arranged.
It is understood that the embodiment of the present invention also includes pre-building data base, and deposit in this data base
Store up the product information of some common electronics equipment.
S13, carries out binary conversion treatment to the image of described screen area, obtains in the image after binary conversion treatment
Noise spot region, calculate the ratio that described noise spot region is shared in screen area；
In the embodiment of the present invention, noise spot refers to the white point after binaryzation in picture.Lead at image procossing
Territory, the binary conversion treatment of image is exactly that the gray scale of the point on image is set to 0 or 255, namely by whole figure
As presenting obvious black and white effect.Will the gray level image of 256 brightness degrees be selected by suitable threshold value
Take and obtain and still can reflect the overall binary image with local feature of image.In Digital Image Processing,
Particularly in practical image procossing, the system constituted so that binary Images Processing realizes is a lot,
Carry out process and the analysis of bianry image, first have to a Binary Sketch of Grey Scale Image, obtain binary image, have
It is beneficial to when image is further processed, the set character of image and the point that pixel value is 0 or 255
Position is relevant, does not further relate to the multilevel values of pixel, makes process become simple, and the process of data and compression
Measure little.In order to obtain preferable bianry image, typically use the district that closing, the boundary definition of connection do not overlap
Territory.All gray scales are judged as belonging to certain objects more than or equal to the pixel of threshold value, and its gray value is 255
Representing, otherwise these pixels are excluded beyond object area, and gray value is 0, represent background or exception
Object area.If certain certain objects has the gray value of uniformity in inside, and it is in a tool
Have under the homogeneous background of other level gray values, use threshold method to can be obtained by the segmentation effect compared.As
Really object shows not on gray value (such as texture is different) with the difference of background, can be by this distinction
Be converted to the difference of gray scale, then utilize threshold value selecting technology to split this image.Dynamically regulation threshold value realizes
The concrete outcome of its segmentation image of the binaryzation dynamic observation of image.
S14, identifies the geometry comprised in the image after binary conversion treatment；
Preferably, in the embodiment of the present invention, by the image after binary conversion treatment is carried out edge extracting process
And Hough transformation, to identify the geometry comprised in image, such as straight line, circle etc..
Be can detect that the information such as the cut of device screen, breakage by above-mentioned steps S13, S14.
S15, the ratio shared in screen area according to described noise spot region and the geometry recognized,
Determine the new and old degree of screen of equipment.
In the embodiment of the present invention, determine that the detailed description of the invention of the new and old degree of screen of equipment can be following any one
Plant or the mode of combination:
1), the total length of whole lines that the geometry that statistics recognizes is comprised；By described noise spot district
The total length of the lines that the ratio shared in screen area in territory, described geometry comprise is as two evaluations
The factor, calculates the new and old degree of screen of equipment by default computation model；
2), obtain the lines that described geometry comprises, detect the length and width of each lines, calculate each line
The area value that bar is corresponding；And add up the area total value of the lines that described geometry comprises；By described noise spot
Ratio that region is shared in screen area and the area total value conduct of the lines that described geometry comprises
Two evaluation points, calculate the new and old degree of screen of equipment by default computation model；
3), according to the positional information of described geometry and correspondence thereof, determine that one comprises whole described several
The Minimum Area of what shape；Calculate described Minimum Area accounting in screen area；By described noise spot district
The ratio shared in screen area in territory, described Minimum Area accounting in screen area are as two evaluations
The factor, calculates the new and old degree of screen of equipment by default computation model.
Concrete, model calculated as below can be used to calculate the new and old degree of screen of equipment:
S=m1 × Ls+m2 × P；
Wherein, Ls is the first evaluation points, and P is the second evaluation points, m1, m2 be respectively the first evaluation because of
Son, the second evaluation points degree new and old on device screen affect coefficient.
Preferably, said two affects coefficient sum equal to 1.Such as: use model calculated as below to calculate equipment
The new and old degree of screen:
S=0.8 × Ls+0.2 × P；
Ls is the total length of the lines that described geometry comprises, and P is noise spot region institute in screen area
The ratio accounted for.
Method by the detection new and old degree of screen of the above embodiment of the present invention, it is possible to the screen of optimization selection evaluation equipment
The new and old degree of curtain, and assessment result accuracy is high；And detect operation automatization, intellectuality, it is not necessary to manually grasp
Make.
Fig. 2 is the indicative flowchart of the method for the detection new and old degree of screen of another embodiment；In this embodiment
In, it is to illustrate as a example by being applied to mobile phone automatic recycling device.The present embodiment and the master of previous embodiment
Distinguish and be: for screen size more than the equipment of setting threshold value, use a kind of screen new and old degree assessment side
Formula, for screen size less than or equal to the equipment of setting threshold value, uses another screen new and old degree assessment side
Formula；Further, also device screen degree can be defined the level.
As in figure 2 it is shown, the method for the detection new and old degree of screen in the present embodiment includes step:
S21, obtains the direct picture of mobile phone to be detected, and the product information of mobile phone, including mobile phone brand
And type information.
S22, draws screen layout and the screen size information of mobile phone.
S23, it is judged that whether the screen size of this mobile phone is more than setting threshold value；If it is not, perform step S31；If
It is to perform step S24.
In the embodiment of the present invention, threshold value can be set as 4 inches.
S31, determines the frontal outline region of mobile phone from described image, and determines according to described product information
Go out the screen area of mobile phone in described image.
S32, carries out binary conversion treatment to the image of screen area, obtains making an uproar in the image after binary conversion treatment
Sound point region；Calculate the ratio that described noise spot region is shared in the frontal outline region of this mobile phone, as
The ratio that described noise spot region is shared in screen area, enters step S26.
S24, determines the screen area of equipment from described image according to described product information.
S25, carries out binary conversion treatment to the image of described screen area, obtains in the image after binary conversion treatment
Noise spot region, calculate the ratio that described noise spot region is shared in screen area.
S26, identifies the geometry comprised in the image after binary conversion treatment.
In the embodiment of the present invention, comprise in the image after i.e. the image binaryzation in recognition screen region processes is several
What shape.If having cut or breakage on screen, may recognize that the concrete of cut or breakage by this step
Situation.
S27, the ratio shared in screen area according to described noise spot region and the geometry recognized,
Determine the new and old degree of screen of equipment.
S28, employing svm classifier method determines the grade of the new and old degree of screen of this equipment, the screen of output mobile phone
The new and old degree evaluation grade of curtain.
In the embodiment of the present invention, in advance new and old for the screen of equipment degree is divided at least three grade.
Because the mobile phone that screen is less, it may be possible to the mobile phone of non-touch screen, or the mobile phone that touch screen area is less,
For this kind of bigger mobile phone of mobile phone relative screen, the overall performance of mobile phone is affected more by the situation such as its screen cut
Little.Therefore by the above embodiment of the present invention, the screen new and old degree assessment to distinct device is more rationally accurate.
It should be noted that for aforesaid each method embodiment, in order to simplicity describes, it is all expressed as
A series of combination of actions, but those skilled in the art should know, and the present invention is not moved by described
The restriction of work order, because according to the present invention, some step can use other order or carry out simultaneously.
Based on the thought identical with the method for the detection new and old degree of screen in above-described embodiment, the present invention also provides for inspection
Survey the device of the new and old degree of screen, the method that this device can be used for performing the above-mentioned new and old degree of detection screen.In order to just
In explanation, the structural representation of the device embodiment of the detection new and old degree of screen, illustrate only and the present invention
The part that embodiment is relevant, it will be understood by those skilled in the art that schematic structure is not intended that the limit to device
Fixed, can include that ratio illustrates more or less of parts, or combine some parts, or different parts
Arrange.
Fig. 3 is the schematic diagram of the device of the detection new and old degree of screen of one embodiment of the invention；Such as Fig. 3
Shown in, the device of the detection new and old degree of screen of the present embodiment includes: data obtaining module 310, region detection mould
Block 320, image processing module 330 and new and old degree evaluation module 340, details are as follows for each module:
Above-mentioned data obtaining module 310, for obtaining the image of equipment to be detected, and described equipment is corresponding
Product information；
Region detection module 320, for determining the screen of equipment from described image according to described product information
Region；
Image processing module 330, for the image of described screen area is carried out binary conversion treatment, obtains two-value
The noise spot region in image after change process, calculates the ratio that described noise spot region is shared in screen area
Example；And the geometry comprised in the image after identifying binary conversion treatment；
New and old degree evaluation module 340, for the ratio shared in screen area according to described noise spot region and
The geometry recognized, determines the new and old degree of screen of equipment.
As a preferred implementation, described new and old degree evaluation module 340 specifically includes: the first assessment submodule
Block, for adding up the total length of the lines that described geometry comprises；By described noise spot region at screen area
The total length of the lines that ratio shared in territory, described geometry comprise, as two evaluation points, passes through
The computation model preset calculates the new and old degree of screen of equipment.
As another preferred implementation, described new and old degree evaluation module 340 specifically includes: the second assessment
Module, for obtaining the lines that described geometry comprises, detects the length and width of each lines, calculates each
The area value that lines are corresponding；Add up the area total value of the lines that described geometry comprises；By described noise spot
Ratio that region is shared in screen area and the area total value conduct of the lines that described geometry comprises
Two evaluation points, calculate the new and old degree of screen of equipment by default computation model.
As another preferred implementation, described new and old degree evaluation module 340 specifically includes: the 3rd assessment
Module, for according to described geometry and the positional information of correspondence thereof, determines that one comprises and recognizes
All Minimum Areas of geometry；Calculate described Minimum Area accounting in screen area；Make an uproar described
The ratio shared in screen area in sound point region, described Minimum Area accounting in screen area are as two
Individual evaluation points, calculates the new and old degree of screen of equipment by default computation model.
As another preferred implementation, described new and old degree evaluation module 340 may also include that grade classification
Module, for the new and old degree of screen according to calculated equipment, uses svm classifier method to determine this equipment
The grade of the new and old degree of screen.
Described grade classification submodule is additionally operable in advance new and old for the screen of equipment degree is divided at least three etc.
Level.
Preferably, described product information includes equipment brand and unit type.Described according to described product information
The screen area of equipment is determined from described image, including: inquire about pre-according to equipment brand and unit type
If data base, obtain screen layout's information and the screen size of this equipment；According to screen layout's information and screen
Curtain size determines the screen area of equipment in described image.Described image processing module 330, is additionally operable to judge
Whether the screen size of equipment is more than setting threshold value；If it is not, determine the front wheel of equipment from described image
Wide region；And, the image of the screen area of this equipment is carried out binary conversion treatment, obtains binary conversion treatment
After image in noise spot region, calculate described noise spot region in the frontal outline region of described equipment
Shared ratio, as the ratio that described noise spot region is shared in screen area.
It should be noted that in the embodiment of the device of the detection new and old degree of screen of above-mentioned example, each module
Between the content such as mutual, the execution process of information, due to preceding method embodiment of the present invention based on same structure
Thinking, its technique effect brought is identical with preceding method embodiment of the present invention, and particular content can be found in the present invention
Narration in embodiment of the method, here is omitted.
Additionally, in the embodiment of the device of the detection new and old degree of screen of above-mentioned example, patrolling of each functional module
Collect division to be merely illustrative of, can as required in actual application, the such as configuration for corresponding hardware is wanted
Ask or the convenient of realization of software considers, above-mentioned functions distribution is completed by different functional modules, will
The internal structure of the device of the described new and old degree of detection screen is divided into different functional modules, to complete above retouching
The all or part of function stated.The most each function mould both can realize to use the form of hardware, it is also possible to adopts
Realize by the form of software function module.
It will appreciated by the skilled person that all or part of flow process realizing in above-described embodiment method,
Can be by computer program and complete to instruct relevant hardware, described program can be stored in a calculating
In machine read/write memory medium, as independent production marketing or use.Described program upon execution, can be held
All or part of step of the embodiment of row such as above-mentioned each method.Wherein, described storage medium can be magnetic disc,
CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random
Access Memory, RAM) etc..
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, in certain embodiment the most in detail
The part stated, may refer to the associated description of other embodiments.It is appreciated that the term " used in it
One ", " second " etc. be used for distinguishing object in this article, but these objects should not be limited by these terms.
Embodiment described above only have expressed the several embodiments of the present invention, it is impossible to is interpreted as the present invention special
The restriction of profit scope.It should be pointed out that, for the person of ordinary skill of the art, without departing from this
On the premise of inventive concept, it is also possible to make some deformation and improvement, these broadly fall into the protection model of the present invention
Enclose.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. the method detecting the new and old degree of screen, it is characterised in that including:
Obtain the image of equipment to be detected, and the product information that described equipment is corresponding；
From described image, the screen area of equipment is determined according to described product information；
The image of described screen area is carried out binary conversion treatment, obtains making an uproar in the image after binary conversion treatment
Sound point region, calculates the ratio that described noise spot region is shared in screen area；
Identify the geometry comprised in the image after binary conversion treatment；
The ratio shared in screen area according to described noise spot region and the geometry recognized, determine
The new and old degree of screen of equipment.
The method of the new and old degree of detection screen the most according to claim 1, it is characterised in that according to described
Noise spot region ratio shared by screen area and the geometry recognized, determine that the screen of equipment is new
Old degree, including:
Add up the total length of the lines that described geometry comprises；
The lines that ratio shared in screen area for described noise spot region, described geometry are comprised
Total length, as two evaluation points, calculates the new and old degree of screen of equipment by default computation model.
The method of the new and old degree of detection screen the most according to claim 1, it is characterised in that according to described
Noise spot region ratio shared by screen area and the geometry recognized, determine that the screen of equipment is new
Old degree, including:
Obtain the lines that described geometry comprises, detect the length and width of each lines, calculate each lines pair
The area value answered；Add up the area total value of the lines that described geometry comprises；
The line that the ratio shared in screen area by described noise spot region and described geometry comprise
The area total value of bar, as two evaluation points, calculates the new and old degree of screen of equipment by default computation model.
The method of the new and old degree of detection screen the most according to claim 1, it is characterised in that according to described
Noise spot region ratio shared by screen area and the geometry recognized, determine that the screen of equipment is new
Old degree, including:
According to described geometry and the positional information of correspondence thereof, determine that comprises recognize whole several
The Minimum Area of what shape；Calculate described Minimum Area accounting in screen area；
By ratio shared in screen area for described noise spot region, described Minimum Area in screen area
Accounting as two evaluation points, calculated the new and old degree of screen of equipment by default computation model.
5. according to the method for the arbitrary described detection new and old degree of screen of claim 2-4, it is characterised in that institute
State computation model to include:
S=m1 × Ls+m2 × P；
Wherein, Ls is the first evaluation points, and P is the second evaluation points, m1, m2 be respectively the first evaluation because of
Son, the second evaluation points degree new and old on device screen affect coefficient.
6. according to the method for the arbitrary described detection new and old degree of screen of claim 2-4, it is characterised in that
After the new and old degree of screen of equipment, also include:
The new and old degree of screen according to calculated equipment, uses svm classifier method to determine the screen of this equipment
The grade of new and old degree；
The method of the described detection new and old degree of screen also includes:
In advance new and old for the screen of equipment degree is divided at least three grade.
The method of the new and old degree of detection screen the most according to claim 1, it is characterised in that described identification
The geometry comprised in image after binary conversion treatment, including:
Image after binary conversion treatment is carried out edge extracting process and Hough transformation, identifies in image and comprise
Geometry.
The method of the new and old degree of detection screen the most according to claim 1, it is characterised in that described product
Information includes equipment brand and unit type；
The described screen area determining equipment according to described product information from described image, including:
Inquire about, according to equipment brand and unit type, the data base preset, obtain screen layout's information of this equipment
And screen size；
The screen area of equipment in described image is determined according to screen layout's information and screen size.
The method of the new and old degree of detection screen the most according to claim 8, it is characterised in that obtain this and set
After standby screen layout's information and screen size, also include:
Judge that whether the screen size of equipment is more than setting threshold value；If it is not, determine equipment from described image
Frontal outline region；
The described image to described screen area carries out binary conversion treatment, obtains in the image after binary conversion treatment
Noise spot region, calculate the ratio that described noise spot region is shared in screen area, including:
The image of screen area is carried out binary conversion treatment, obtains the noise spot in the image after binary conversion treatment
Region, calculates the ratio that described noise spot region is shared in the frontal outline region of described equipment, as institute
State the ratio that noise spot region is shared in screen area.
10. the device detecting the new and old degree of screen, it is characterised in that including:
Data obtaining module, for obtaining the image of equipment to be detected, and the product that described equipment is corresponding
Information；
Region detection module, for determining the screen area of equipment from described image according to described product information
Territory；
Image processing module, for the image of described screen area is carried out binary conversion treatment, obtains binaryzation
Noise spot region in image after process, calculates the ratio that described noise spot region is shared in screen area；
And the geometry comprised in the image after identifying binary conversion treatment；
New and old degree evaluation module, for the ratio shared in screen area according to described noise spot region and knowledge
The geometry being clipped to, determines the new and old degree of screen of equipment.
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| CN201610348444.3A CN106022379A (en) | 2016-05-23 | 2016-05-23 | Method and device for detecting depreciation degree of screen |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110245668A (en) * | 2018-03-09 | 2019-09-17 | 腾讯科技（深圳）有限公司 | End message acquisition methods, acquisition device and storage medium based on image recognition |
| US11798250B2 (en) | 2019-02-18 | 2023-10-24 | Ecoatm, Llc | Neural network based physical condition evaluation of electronic devices, and associated systems and methods |
| US11803954B2 (en) | 2016-06-28 | 2023-10-31 | Ecoatm, Llc | Methods and systems for detecting cracks in illuminated electronic device screens |
| US11843206B2 (en) | 2019-02-12 | 2023-12-12 | Ecoatm, Llc | Connector carrier for electronic device kiosk |
| USD1010271S1 (en) | 2020-02-12 | 2024-01-02 | Ecoatm, Llc | Kiosk for processing electronic devices |
| US11922467B2 (en) | 2020-08-17 | 2024-03-05 | ecoATM, Inc. | Evaluating an electronic device using optical character recognition |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440654A (en) * | 2013-08-27 | 2013-12-11 | 南京大学 | LCD foreign body defect detection method |
| CN104345481A (en) * | 2013-07-30 | 2015-02-11 | 北京京东方光电科技有限公司 | Liquid crystal display quality inspection method, device and equipment |
| CN105301810A (en) * | 2015-11-24 | 2016-02-03 | 上海斐讯数据通信技术有限公司 | Screen defect detecting method and screen defect detecting device |
| CN105424723A (en) * | 2015-11-28 | 2016-03-23 | 惠州高视科技有限公司 | Detecting method for defects of display screen module |
-
2016
- 2016-05-23 CN CN201610348444.3A patent/CN106022379A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104345481A (en) * | 2013-07-30 | 2015-02-11 | 北京京东方光电科技有限公司 | Liquid crystal display quality inspection method, device and equipment |
| CN103440654A (en) * | 2013-08-27 | 2013-12-11 | 南京大学 | LCD foreign body defect detection method |
| CN105301810A (en) * | 2015-11-24 | 2016-02-03 | 上海斐讯数据通信技术有限公司 | Screen defect detecting method and screen defect detecting device |
| CN105424723A (en) * | 2015-11-28 | 2016-03-23 | 惠州高视科技有限公司 | Detecting method for defects of display screen module |
Non-Patent Citations (2)
| Title |
|---|
| 刘波 等: "手机屏幕图像缺陷的实时检测", 《计算机工程与应用》 * |
| 吕存养: "基于视觉检测技术的橡胶栓表面质量检测***研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11803954B2 (en) | 2016-06-28 | 2023-10-31 | Ecoatm, Llc | Methods and systems for detecting cracks in illuminated electronic device screens |
| CN110245668A (en) * | 2018-03-09 | 2019-09-17 | 腾讯科技（深圳）有限公司 | End message acquisition methods, acquisition device and storage medium based on image recognition |
| CN110245668B (en) * | 2018-03-09 | 2023-06-27 | 腾讯科技（深圳）有限公司 | Terminal information acquisition method, acquisition device and storage medium based on image recognition |
| US11843206B2 (en) | 2019-02-12 | 2023-12-12 | Ecoatm, Llc | Connector carrier for electronic device kiosk |
| US11798250B2 (en) | 2019-02-18 | 2023-10-24 | Ecoatm, Llc | Neural network based physical condition evaluation of electronic devices, and associated systems and methods |
| USD1010271S1 (en) | 2020-02-12 | 2024-01-02 | Ecoatm, Llc | Kiosk for processing electronic devices |
| US11922467B2 (en) | 2020-08-17 | 2024-03-05 | ecoATM, Inc. | Evaluating an electronic device using optical character recognition |
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