CN104104944A - Detection method of video signal and detection device of video signal - Google Patents
Detection method of video signal and detection device of video signal Download PDFInfo
- Publication number
- CN104104944A CN104104944A CN201310127964.8A CN201310127964A CN104104944A CN 104104944 A CN104104944 A CN 104104944A CN 201310127964 A CN201310127964 A CN 201310127964A CN 104104944 A CN104104944 A CN 104104944A
- Authority
- CN
- China
- Prior art keywords
- measured
- vision signal
- characteristic value
- calculation
- result
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The preset invention discloses a detection method of a video signal and a detection device of the video signal. The detection method comprises the following steps of receiving a to-be-detected video signal comprising a series of to-be-detected characteristic values; counting the series of to-be-detected characteristic values to obtain a count value; determining the positions of the to-be-detected characteristic values one by one according to the count value; comparing the to-be-detected characteristic values with the standard characteristic values corresponding to the position respectively to calculate a passing rate of the series of to-be-detected characteristic values. According to the present invention, the video signal can be detected whether to be abnormal or not accurately without needing the personnel to judge.
Description
[technical field]
The invention relates to a kind of detection technique, and particularly relevant for a kind of detection method and checkout gear of vision signal.
[background technology]
Whether the product with audio-visual broadcasting is normal in order to detect the function of video and audio frequency, must detect the video of various standards, for example: TSC-system or Phase Alternation Line system, component vide port (YPrPb), CVBS port (Composite), S-out port, high definition port (HDMI) etc.Generally speaking, conventional aberration terminal image detecting method is following four kinds:
Method 1: whether Devices to test outputs image to external-connection displayer by eye-observation, correct to differentiate output;
Method 2: Devices to test outputs image to external-connection displayer, then captures picture to computer by camera, whether normally analyzes data, or contrasts confirmation with the normal picture being stored in computer;
Method 3: Devices to test output image, connects video frequency collection card after data A/D conversion and pass view data back computer and normal picture compare error;
Method 4: Devices to test output image, after data A/D conversion, export in programmable chip (FPGA), the normal pixel data in ROM are read to simultaneously and in chip, carry out data and subtract each other the comparison that takes absolute value.
Yet, during video output test, for example, play blue light disk, be output as analog signal, form is NTSC525i, picture is shown as respectively alphabetical A, B, C output according to blue light test specification.In test, after certain color line opens circuit separately (as: aberration terminal Cr line or Cb line), its error is less, and the distribution of beating, and output picture is seen basic indifference from vision.Employing method 1 cannot be differentiated color distortion with method 2; Method 3 is slower because needs transmit data to computer speed, and general data capture card accuracy is lower, cannot differentiate less data error; The method of the direct correction data that method 4 is traditional is also because of the little unstable directly subtraction calculations absolute value difference of error.
[summary of the invention]
Therefore, an object of the present invention is a kind of detection method and checkout gear of vision signal to be provided, whether extremely to detect exactly vision signal.
The detection method of a kind of vision signal provided by the invention comprises the following steps: that (a) receives a vision signal to be measured, and vision signal to be measured comprises a succession of characteristic value to be measured; (b) a succession of characteristic value to be measured is counted, to obtain count value; (c) according to count value, determine one by one the position of each characteristic value to be measured; (d) the characteristic value more to be measured Standard Eigenvalue corresponding with described position, to calculate the percent of pass of a succession of characteristic value to be measured.
In one embodiment of this invention, step (a) comprising: when vision signal to be measured is analog format, the flagpole for the treatment of of analog format is converted to the flagpole for the treatment of of number format.
In one embodiment of this invention, number format is YCbCr form.
In one embodiment of this invention, step (d) comprising: the characteristic value to be measured Standard Eigenvalue corresponding with described position subtracted each other to obtain result of calculation, the no max value of error that is greater than setting of judgement result of calculation, if, judge that result of calculation corresponding to described position is misdata, percent of pass meets following relationship:
(numbers of the sum of misdata described in 1-/whole positions) * 100%.
In one embodiment of this invention, step (d) comprises subtracts each other to obtain result of calculation by the characteristic value to be measured Standard Eigenvalue corresponding with described position, judge whether result of calculation is greater than the max value of error of setting, if result of calculation corresponding to all positions is all less than or equal to the max value of error of setting, the accumulated error of the monochromatic areas that percent of pass comprises in calculating vision signal to be measured obtains.
The present invention also provides a kind of checkout gear of video, comprises video input interface, control module and digital operation processing module.Video input interface is used for receiving vision signal to be measured, and vision signal to be measured comprises a succession of characteristic value to be measured.Digital operation processing module is electrically connected control module, digital operation processing module counts to obtain count value to a succession of characteristic value to be measured under the control of control module, thereby determine one by one the position of each characteristic value to be measured according to count value, and then the characteristic value more to be measured Standard Eigenvalue corresponding with described position, to calculate the percent of pass of a succession of characteristic value to be measured.
In one embodiment of this invention, checkout gear also comprises video decoder.Video decoder is electrically connected control module, and when vision signal to be measured is analog format, video decoder is converted to the vision signal to be measured of analog format the vision signal to be measured of number format under the control of control module.
In one embodiment of this invention, number format is YCbCr form.
In one embodiment of this invention, checkout gear also comprises storage module.Storage module is electrically connected digital operation processing module, and storage module is for storing Standard Eigenvalue corresponding to each position.
In one embodiment of this invention, checkout gear also comprises output interface, and output interface is electrically connected control module, and control module is calculated by digital operation processing module the test result obtaining and exported output interface to.
In one embodiment of this invention, digital operation processing module subtracts each other to obtain result of calculation by the characteristic value to be measured Standard Eigenvalue corresponding with described position, judge the no max value of error that is greater than setting of described result of calculation, if, judge that result of calculation corresponding to described position is misdata, percent of pass meets following relationship:
(numbers of the sum of misdata described in 1-/whole positions) * 100%.
In one embodiment of this invention, digital operation processing module subtracts each other to obtain result of calculation by the characteristic value to be measured Standard Eigenvalue corresponding with described position, judge whether result of calculation is greater than the max value of error of setting, if result of calculation corresponding to all positions is all less than or equal to the max value of error of setting, the accumulated error of the monochromatic areas that percent of pass comprises in calculating vision signal to be measured obtains.
In sum, technical scheme of the present invention compared with prior art has obvious advantage and beneficial effect.By technique scheme, can reach suitable technological progress, and there is the extensive value in industry, it at least has following advantages:
1. without personnel's judgement, effectively reduce equipment, space, personnel, man-hour and defective products and flow out; And
2. cumulative by calculating several data (characteristic value), eliminate the puzzlement that the direct compare error of individual data is beated, thereby whether extremely accurately detect vision signal.
To above-mentioned explanation be explained in detail with execution mode below, and technical scheme of the present invention is provided further and explained.
[accompanying drawing explanation]
Fig. 1 is the calcspar according to a kind of checkout gear of one embodiment of the invention;
Fig. 2 is the schematic diagram of Devices to test, checkout gear and result output equipment according to one embodiment of the invention; And
Fig. 3 is the flow chart according to the detection method of a kind of vision signal of one embodiment of the invention.
[primary clustering symbol description]
100: checkout gear
101: video input interface
102: audio input interface
103: video decoder
104: tone decoder
105,106,109,112,113,115: winding displacement
107: digital operation processing module
108: storage module
111: control module
114: output interface
200: result output equipment
210: Devices to test
300: detection method
310～340: step
[embodiment]
In order to make narration of the present invention more detailed and complete, can be with reference to accompanying drawing and the various embodiment of the following stated, in accompanying drawing, identical number represents same or analogous assembly.On the other hand, well-known assembly and step are not described in embodiment, to avoid that the present invention is caused to unnecessary restriction.
Fig. 1 is the calcspar according to a kind of checkout gear of one embodiment of the invention.As shown in Figure 1, checkout gear 100 comprises video input interface 101, video decoder 103, digital operation processing module 107, storage module 108, control module 111 and output interface 114.In one embodiment, checkout gear 100 can be made into a test card, without computer, can independently carry out.
Video input interface 101(is as YPrPb, CVBS, S-video or HDMI) for receiving a vision signal to be measured, vision signal to be measured is input to video decoder 103 by video input interface 101.From winding displacement 105, give digital operation processing module 107(as FPGA or CPLD after treatment).
Vision signal to be measured comprises a succession of characteristic value to be measured.Digital operation processing module 107 is electrically connected control module 111, digital operation processing module 107 counts to obtain count value to this succession of characteristic value to be measured under the control of control module 111, thereby determine one by one the position of each characteristic value to be measured according to count value, and then the characteristic value more to be measured Standard Eigenvalue corresponding with position, to calculate the percent of pass of this succession of characteristic value to be measured.By this, without personnel's judgement, effectively reduce equipment, space, personnel, man-hour and defective products and flow out.
Video decoder 103 is electrically connected control module 111, and when vision signal to be measured is analog format, video decoder 103 is converted to the vision signal to be measured of analog format the vision signal to be measured of number format under the control of control module 111.
In one embodiment of this invention, number format can be YCbCr form.In another embodiment, number format can be rgb format, and the person that is familiar with technique should look elasticity of demand at that time selects.
In one embodiment of this invention, storage module 108 is electrically connected digital operation processing module 107, and storage module 108 can be used for storing the preset value Standard Eigenvalue corresponding with each position that percent of pass is corresponding.By this, by calculating the percent of pass after several data (characteristic value) add up, eliminate the puzzlement that the direct compare error of individual data is beated, thereby whether accurately detect vision signal output abnormality.
Output interface 114 is electrically connected control module 111, and control module 111 is calculated by digital operation processing module 107 test result obtaining and exported output interface 114 to.Digital operation processing module 107 subtracts each other to obtain result of calculation by the characteristic value to be measured Standard Eigenvalue corresponding with position, the no max value of error that is greater than setting of judgement result of calculation, if so, judge that result of calculation corresponding to this position is misdata, percent of pass meets following relationship:
(numbers of the sum of misdata described in 1-/whole positions) * 100%.
For instance, control module 111(as: MCU) control figure calculation process module 107 is play the video of segment standard, its each position characteristic of correspondence value record is got off to be stored to storage module 108, as Standard Eigenvalue corresponding to each position of follow-up test; Or, also can directly by user, Standard Eigenvalue corresponding to each position be stored in storage module 108 in advance.After digital operation processing module 107 has been calculated, by winding displacement 110(as: I2C) test result is returned to control module 111, by winding displacement 113, output interface 114(is as USB, RS232, PIO etc.) send test result.
The present invention supports multi-channel video signal to input simultaneously, by control module 111 (MCU), through winding displacement 112(as: I2C) output of video decoder 103 is done and is switched action.
In Fig. 2, a plurality of checkout gears 100 can sequentially start to detect a plurality of Devices to tests 210 according to the measurement setting, and test result is outputed to result output equipment 200(as PC, LED, PIO).
Fig. 3 is the flow chart according to the detection method 300 of a kind of vision signal of one embodiment of the invention.As shown in Figure 3, detection method 300 comprises step 310～step 340.
In step 310: receive a vision signal to be measured, vision signal to be measured comprises a succession of characteristic value to be measured.In the present embodiment, the vision signal that detects TSC-system of take describes as example, yet the present invention does not impose any restrictions this.At this, Devices to test 210(is illustrated in Fig. 2) play blue light disk, by vision signal winding displacement output NTSC525i picture.Now, the vision signal to be measured that 100 pairs of checkout gears receive is done analog/digital conversion and is processed.Analog/digital for example can be set digital video (Digital Video) and be output as 8-bit4:2:2BT.656 form, characteristic value array format for example can be Cb Y Cr Y Cb Y Cr Y.........., accordingly, the video pictures that resolution is 720x480 can be 720 * 480 * 2 through being converted to the number of the characteristic value that can receive, here " 2 " represent that each pixel is to there being two characteristic values, this depends on the data format of output, if rgb format, should be 720 * 480 * 3, the present invention does not impose any restrictions this.
In step 320: a succession of characteristic value to be measured is counted, to obtain count value.In step 330: determine one by one the position of each characteristic value to be measured according to count value.Particularly, a succession of characteristic value starting receiving from first characteristic value data is counted.Afterwards, according to following formula, determine the position of current characteristic value:
Count value ÷ (columns * 2)=quotient a ... remainder a.
At this, columns can correspond to 480, and when output format is RGB, 2 value also can be 3.In the present embodiment, quotient a represents the line number of current pixel point correspondence image, and scope is 0 to 720, at remainder a, is not 0 o'clock, and the line number at place should be corresponding quotient a and adds 1, at remainder a, is 0 o'clock, and the line number at place is corresponding quotient a; Remainder a can reflect the columns of current pixel point correspondence image, scope is 0 to 479, at remainder a, it is 0 o'clock, the columns at place should be last row, 480, when remainder a is odd number, the columns at place should be remainder and rounds and add 1 again divided by 2, when remainder a is even number, the columns at place should be remainder divided by 2.
In addition, in the present embodiment, also can determine by the value of remainder a and the characteristic value type of correspondence position correspond to Cb or Y1 or Cr or Y2.Particularly, due to every four Data duplications of Cb, Y1, Cr and Y2 once, therefore, available remainder a is divided by 4, if remainder is 0, correspond to characteristic value Y2, if remainder is 1, correspond to characteristic value Cb, if remainder is 2, correspond to characteristic value Y1, if remainder is 3, correspond to characteristic value Cr.
In step 340: the Standard Eigenvalue that characteristic value more to be measured is corresponding with position, to calculate the percent of pass of a succession of characteristic value to be measured.With yellow image data instance, describe, the Standard Eigenvalue of its corresponding Cb, Y, Cr, Y should be 0x0B, 0xE4,0x8A, 0xE4.After determining the position of the current characteristic value to be measured receiving, can determine corresponding Standard Eigenvalue according to the type of the characteristic value of present position, thereby both are subtracted each other to obtain result of calculation, judge whether result of calculation is greater than the max value of error of setting.Particularly, if determine the Cb value that the current characteristic value to be measured receiving is yellow image, by this characteristic value to be measured, deduct the Standard Eigenvalue of Cb value, at this, be 0x0B, take absolute value again, and make comparisons with the max value of error of setting, if be greater than the max value of error of this setting, judge that this result of calculation is as misdata.After all characteristic values to be measured have all been calculated, according to the sum of all misdata, determine the percent of pass of vision signal to be measured, be specially:
(numbers of the sum of 1-misdata/whole positions) * 100%.
If percent of pass is greater than preset value, test video signal to be measured is qualified.
In other embodiments, percent of pass can be also all to meet after test specification in all single characteristic values to be measured, that is, the difference of characteristic value to be measured and Standard Eigenvalue is less than or equal to after the max value of error of setting, gets a slice or several monochromatic areas images calculate in vision signal to be measured.Particularly, complete all single characteristic values to be measured relatively after, desirable monochrome image region, for example row 150-is capable 350, it is cumulative that row 100-row 200 are done characteristic value.For example, continuous 5 the Cr characteristic value datas of every row, accumulate 1000 Cr characteristic value datas, judgement is when quotient a is between 150-350, remainder a between 100-200, all data summation when remainder b equals 3, so qualified data and minimum value=1000 * 0x75, maximum=1000 * 0x7F, mean value=1000 * 0x7A; Number of non-compliances certificate and minimum value=1000 * 0x80; Maximum=1000 * 0x86, mean value=1000 * 0x83.
Accordingly, the accumulated error in this monochrome image region is:
（1000×0x7A＋1000×0x83）/2＝1000×0x7E。
Considering board hardware error, can suitably to set permissible error with the bad preferential principle of card be about 1000 * 0x7D.
So, when the accumulated error in monochrome image region is greater than permissible error (that is, 1000 * 0x7D), judge test failure.
By this, the present invention judges without personnel, effectively reduces equipment, space, personnel, man-hour and defective products and flows out, and can solve in prior art because of the too little problem that cannot realize data absolute value contrast test of individual data error.
Should be appreciated that, mentioned step in Fig. 3, except chatting especially bright its order person, all can adjust order before and after it according to actual needs, even can be simultaneously or part carry out simultaneously.As for the hardware unit of implementing those steps, because above embodiment specifically discloses, so it is no longer repeated it.
Although the present invention discloses as above with execution mode; so it is not in order to limit the present invention, anyly has the knack of this skill person, without departing from the spirit and scope of the present invention; when being used for a variety of modifications and variations, so protection scope of the present invention is when being as the criterion depending on the claim person of defining.
Claims (12)
1. a detection method for vision signal, is characterized in that, comprises the following steps:
(a) receive a vision signal to be measured, described vision signal to be measured comprises a succession of characteristic value to be measured;
(b) described a succession of characteristic value to be measured is counted, to obtain count value;
(c) according to described count value, determine one by one the position of each characteristic value to be measured;
(d) the more described characteristic value to be measured Standard Eigenvalue corresponding with described position, to calculate the percent of pass of described a succession of characteristic value to be measured.
2. the detection method of vision signal according to claim 1, is characterized in that, described step (a) comprising: when described vision signal to be measured is analog format, the vision signal to be measured of described analog format is converted to the vision signal to be measured of number format.
3. the detection method of vision signal according to claim 2, is characterized in that, described number format is YCbCr form.
4. the detection method of vision signal according to claim 1, it is characterized in that, step (d) comprises subtracts each other to obtain result of calculation by the described characteristic value to be measured Standard Eigenvalue corresponding with described position, judge whether described result of calculation is greater than the max value of error of setting, if, judge that result of calculation corresponding to described position is misdata, described percent of pass meets following relationship:
(numbers of the sum of misdata described in 1-/whole positions) * 100%.
5. the detection method of vision signal according to claim 1, it is characterized in that, step (d) comprises subtracts each other to obtain result of calculation by the described characteristic value to be measured Standard Eigenvalue corresponding with described position, judge whether described result of calculation is greater than the max value of error of setting, if result of calculation corresponding to all positions is all less than or equal to the max value of error of setting, the accumulated error of the monochromatic areas that described percent of pass comprises in calculating described vision signal to be measured obtains.
6. a checkout gear for vision signal, for detection of a vision signal to be measured, is characterized in that, described checkout gear comprises:
Video input interface, for receiving described vision signal to be measured, described vision signal to be measured comprises a succession of characteristic value to be measured;
Control module; And
Digital operation processing module, be electrically connected described control module, described digital operation processing module counts to obtain count value to described a succession of characteristic value to be measured under the control of described control module, thereby determine one by one the position of each characteristic value to be measured according to described count value, and then the more described characteristic value to be measured Standard Eigenvalue corresponding with described position, to calculate the percent of pass of described a succession of characteristic value to be measured.
7. the checkout gear of vision signal according to claim 6, is characterized in that, also comprises:
Video decoder, is electrically connected described control module, and when described vision signal to be measured is analog format, described video decoder is converted to the vision signal to be measured of described analog format the vision signal to be measured of number format under the control of described control module.
8. the checkout gear of vision signal according to claim 7, is characterized in that, described number format is YCbCr form.
9. the checkout gear of vision signal according to claim 6, is characterized in that, also comprises:
Storage module, is electrically connected described digital operation processing module, and described storage module is for storing Standard Eigenvalue corresponding to described each position.
10. the checkout gear of vision signal according to claim 6, is characterized in that, also comprises:
Output interface, is electrically connected described control module, and described control module is calculated by described digital operation processing module the test result obtaining and exported described output interface to.
The checkout gear of 11. vision signals according to claim 6, it is characterized in that, described digital operation processing module subtracts each other to obtain result of calculation by the described characteristic value to be measured Standard Eigenvalue corresponding with described position, judge the no max value of error that is greater than setting of described result of calculation, if, judge that result of calculation corresponding to described position is misdata, described percent of pass meets following relationship:
(numbers of the sum of misdata described in 1-/whole positions) * 100%.
The checkout gear of 12. vision signals according to claim 6, it is characterized in that, described digital operation processing module subtracts each other to obtain result of calculation by the described characteristic value to be measured Standard Eigenvalue corresponding with described position, judge whether described result of calculation is greater than the max value of error of setting, if result of calculation corresponding to all positions is all less than or equal to the max value of error of setting, the accumulated error of the monochromatic areas that described percent of pass comprises in calculating described vision signal to be measured obtains.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310127964.8A CN104104944A (en) | 2013-04-12 | 2013-04-12 | Detection method of video signal and detection device of video signal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310127964.8A CN104104944A (en) | 2013-04-12 | 2013-04-12 | Detection method of video signal and detection device of video signal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104104944A true CN104104944A (en) | 2014-10-15 |
Family
ID=51672704
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310127964.8A Pending CN104104944A (en) | 2013-04-12 | 2013-04-12 | Detection method of video signal and detection device of video signal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104104944A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105898178A (en) * | 2015-12-08 | 2016-08-24 | 乐视致新电子科技（天津）有限公司 | Signal processing method and signal processor |
| CN108270622A (en) * | 2018-01-22 | 2018-07-10 | 杭州当虹科技有限公司 | A kind of method and system that concurrent emulation testing is carried out to video communication service system |
| CN109905699A (en) * | 2019-03-11 | 2019-06-18 | 贸联电子(昆山)有限公司 | Intelligent shadow frequency detection method and system |
| CN112541947A (en) * | 2020-12-08 | 2021-03-23 | 苏州赛腾精密电子股份有限公司 | Assembly method and device based on machine vision and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101184241A (en) * | 2007-12-03 | 2008-05-21 | 中兴通讯股份有限公司 | Image automatic detection method and apparatus |
| CN103024426A (en) * | 2011-09-23 | 2013-04-03 | 亚旭电子科技(江苏)有限公司 | Test method of image shooting device |
-
2013
- 2013-04-12 CN CN201310127964.8A patent/CN104104944A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101184241A (en) * | 2007-12-03 | 2008-05-21 | 中兴通讯股份有限公司 | Image automatic detection method and apparatus |
| CN103024426A (en) * | 2011-09-23 | 2013-04-03 | 亚旭电子科技(江苏)有限公司 | Test method of image shooting device |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105898178A (en) * | 2015-12-08 | 2016-08-24 | 乐视致新电子科技（天津）有限公司 | Signal processing method and signal processor |
| CN108270622A (en) * | 2018-01-22 | 2018-07-10 | 杭州当虹科技有限公司 | A kind of method and system that concurrent emulation testing is carried out to video communication service system |
| CN109905699A (en) * | 2019-03-11 | 2019-06-18 | 贸联电子(昆山)有限公司 | Intelligent shadow frequency detection method and system |
| CN112541947A (en) * | 2020-12-08 | 2021-03-23 | 苏州赛腾精密电子股份有限公司 | Assembly method and device based on machine vision and storage medium |
| CN112541947B (en) * | 2020-12-08 | 2024-02-20 | 苏州赛腾精密电子股份有限公司 | Assembling method, equipment and storage medium based on machine vision |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1960439B (en) | Methods and devices for image signal processing | |
| CN104104944A (en) | Detection method of video signal and detection device of video signal | |
| JPS63120267A (en) | Diagnostic device for digital signal processor | |
| TWI548262B (en) | Mutiple inspecting system for image signal and mutiple inspecting method thereof | |
| CN111654692B (en) | Camera detection method and device, camera and storage medium | |
| JP2011220823A (en) | Color measuring device and color measuring method | |
| US20160373664A1 (en) | Methods And Apparatus of Processing Image And Additional Information From Image Sensor | |
| US10037256B2 (en) | Electronic device having self diagnosis function and self diagnosis method using the same | |
| CN103733608A (en) | Image processing apparatus and control method therefor | |
| CN107797784B (en) | Method and device for acquiring adaptive resolution of splicing processor | |
| US20110069891A1 (en) | Edge detection apparatus and computing circuit employed in edge detection apparatus | |
| CN103941112A (en) | System and method for detecting multiple image signals | |
| TWI432753B (en) | Test system and test method thereof | |
| KR100906606B1 (en) | Method and apparatus for processing dead pixel | |
| CN101556250A (en) | System and method thereof for checking product quality | |
| US20190122341A1 (en) | Image processing apparatus and recording medium | |
| CN105987755B (en) | Indicator lamp detecting system and method | |
| CN102300116B (en) | Rapid detection method of video resolution and apparatus thereof | |
| CN203352718U (en) | VGA signal generator and signal distributor with EDID detective function | |
| CN206332779U (en) | The test device of synchronism detection polymorphic type video interface | |
| JPH04305774A (en) | High-resolution visual apparatus for part inspection | |
| TWI418816B (en) | Error checking system for high resolution and high frequency image processing chip | |
| CN105405377A (en) | Timing control chip non-image detection system and method thereof | |
| CN110278419B (en) | Visual inspection method, device and system based on linear array camera and storage medium | |
| KR101047466B1 (en) | System and apparatus of analyzing audio and video signal and the method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141015 |
|
| RJ01 | Rejection of invention patent application after publication |