CN104613895A - Picture processing method - Google Patents
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- CN104613895A CN104613895A CN201510061753.8A CN201510061753A CN104613895A CN 104613895 A CN104613895 A CN 104613895A CN 201510061753 A CN201510061753 A CN 201510061753A CN 104613895 A CN104613895 A CN 104613895A
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Abstract
The invention discloses a picture processing method, and relates to the image processing field. The picture processing method includes following steps: step one, obtaining a high definition image of an accepted product in a demonstration state under flash lamp conditions; step two, processing the high definition image of the accepted product in the demonstration state so as to draw an outline line drawing of the accepted product, respectively drawing outline line drawings of important components of the accepted product, and marking the outline line drawings of the important components with serial numbers; step three, obtaining a high definition image of a product to be inspected in a production state under flash lamp conditions as same as that in the step one; step four, processing the high definition image of the product to be inspected in the production state so as to draw an outline line drawing of the product to be inspected, and respectively drawing outline line drawings of important components of the product to be inspected; step five, comparing the outline line drawing of the product to be inspected with the outline line drawing of the accepted product. The picture processing method obtains a precise detection result, is stable and reliable to use, and has high popularization economic value and high comprehensive utilization value.
Description
Technical field
The present invention relates to image processing field, be specifically related to a kind of image processing method.
Background technology
At present, inspection product being carried out to qualification is needed in production link, common way carries out quality inspection with Quality Inspector, check whether that each vitals is all in place, even if but Quality Inspector checks, one is, in large batch of production line operation, the amount of product is very large, unlikely that every part all detects, every part all detects, also likely there is the phenomenon detecting error, after occurring that unacceptable product is mistakened as and do that certified products dispatch from the factory, after the accident caused or malignant event, have the link that law is called to account, when manufacturer is when doing effective proof or quality checks oneself, often there is no strong evidence.
Summary of the invention
Object of the present invention is exactly at present, inspection product being carried out to qualification is needed in production link, common way carries out quality inspection with Quality Inspector, check whether that each vitals is all in place, even if but Quality Inspector checks, one is, in large batch of production line operation, the amount of product is very large, unlikely that every part all detects, every part all detects, also likely there is the phenomenon detecting error, after occurring that unacceptable product is dispatched from the factory as certified products, after the accident caused or malignant event, have the link that law is called to account, when manufacturer is when doing effective proof or quality checks oneself, often there is no the deficiency of strong evidence, and a kind of image processing method is provided.
Concrete scheme of the present invention is that described image processing method comprises the following steps
The first step: obtain specification product high-definition image under example state under flashlamp condition;
Second step: lines of outline figure is sketched the contours of in specification product high-definition image process under described example state, and vitals is sketched the contours lines of outline figure respectively, and by described vitals lines of outline figure marking serial numbers;
3rd step: with obtain production status under the equal flashlamp condition of step 1 under product high-definition image to be checked;
4th step: lines of outline figure is sketched the contours of in product high-definition image to be checked process under described production status, and vitals is sketched the contours lines of outline figure respectively;
5th step: more described product lines of outline figure to be checked and described specification product lines of outline figure, described specification product vitals lines of outline figure is compared one by one with described product vitals lines of outline figure to be checked, if quantity is identical, then judge that product to be checked is specification product; If quantity is different, be then judged as Short Item product, and for the sequence number corresponding to lacked parts, carry out alarm.
The described first step and described 3rd step adopt fixing camera to take pictures, and described specification product and described product to be checked are positioned at same position, and background of taking pictures is solid background.
Described second step, described 4th step and described 5th step adopt industrial computer to be that platform operates.
Flashlamp condition described in the described first step and described 3rd step is long bright type white light source.
Starving lines of outline figure described in described second step, described 4th step and described 5th step is the curve that black pixel point is formed.
Advantage of the present invention is: popularization of the present invention, can solve and complete computer replacement Quality Inspector in the occasion of the volume production same specification products such as production line, 100% object entirely examined is carried out to typical products in mass production, method Detection results of the present invention is accurate, use reliable and stable, there is very high popularization economic worth and comprehensive utilization value.
Accompanying drawing explanation
Fig. 1 is step block diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be further described.
As shown in Figure 1,
Embodiment 1: described image processing method comprises the following steps
The first step: obtain specification product high-definition image under example state under flashlamp condition.
Second step: lines of outline figure is sketched the contours of in specification product high-definition image process under described example state, and vitals is sketched the contours lines of outline figure respectively, and by described vitals lines of outline figure marking serial numbers.
3rd step: with obtain production status under the equal flashlamp condition of step 1 under product high-definition image to be checked.
4th step: lines of outline figure is sketched the contours of in product high-definition image to be checked process under described production status, and vitals is sketched the contours lines of outline figure respectively.
5th step: more described product lines of outline figure to be checked and described specification product lines of outline figure, described specification product vitals lines of outline figure is compared one by one with described product vitals lines of outline figure to be checked, if quantity is identical, then judge that product to be checked is specification product; If quantity is different, be then judged as Short Item product, and for the sequence number corresponding to lacked parts, carry out alarm.
Embodiment 2: described image processing method comprises the following steps
The first step: adopt fixing camera to obtain specification product high-definition image under example state under flashlamp condition.
Second step: lines of outline figure is sketched the contours of in specification product high-definition image process under described example state, and vitals is sketched the contours lines of outline figure respectively, and by described vitals lines of outline figure marking serial numbers.
3rd step: product high-definition image to be checked under adopting fixing camera to obtain production status under the equal flashlamp condition of step 1.
4th step: lines of outline figure is sketched the contours of in product high-definition image to be checked process under described production status, and vitals is sketched the contours lines of outline figure respectively.
5th step: more described product lines of outline figure to be checked and described specification product lines of outline figure, described specification product vitals lines of outline figure is compared one by one with described product vitals lines of outline figure to be checked, if quantity is identical, then judge that product to be checked is specification product; If quantity is different, be then judged as Short Item product, and for the sequence number corresponding to lacked parts, carry out alarm.
Embodiment 3: described image processing method comprises the following steps
The first step: obtain specification product high-definition image under example state under flashlamp condition.
Second step: under computer platform, lines of outline figure is sketched the contours of in specification product high-definition image process under described example state, and vitals is sketched the contours lines of outline figure respectively, and by described vitals lines of outline figure marking serial numbers.
3rd step: with obtain production status under the equal flashlamp condition of step 1 under product high-definition image to be checked.
4th step: under computer platform, lines of outline figure is sketched the contours of in product high-definition image to be checked process under described production status, and vitals is sketched the contours lines of outline figure respectively.
5th step: more described product lines of outline figure to be checked and described specification product lines of outline figure under computer platform, described specification product vitals lines of outline figure is compared one by one with described product vitals lines of outline figure to be checked, if, quantity is identical, then judge that product to be checked is specification product; If quantity is different, be then judged as Short Item product, and for the sequence number corresponding to lacked parts, carry out alarm.
Embodiment 4: described image processing method comprises the following steps
The first step: adopt fixing camera to obtain specification product high-definition image under example state under long bright type white light source condition.
Second step: lines of outline figure is sketched the contours of in specification product high-definition image process under described example state, and vitals is sketched the contours lines of outline figure respectively, and by described vitals lines of outline figure marking serial numbers.
3rd step: product high-definition image to be checked under adopting fixing camera to obtain production status under step 1 is with isometric bright type white light source condition.
4th step: lines of outline figure is sketched the contours of in product high-definition image to be checked process under described production status, and vitals is sketched the contours lines of outline figure respectively.
5th step: more described product lines of outline figure to be checked and described specification product lines of outline figure, described specification product vitals lines of outline figure is compared one by one with described product vitals lines of outline figure to be checked, if quantity is identical, then judge that product to be checked is specification product; If quantity is different, be then judged as Short Item product, and for the sequence number corresponding to lacked parts, carry out alarm.
Embodiment 5: described image processing method comprises the following steps
The first step: obtain specification product high-definition image under example state under flashlamp condition.
Second step: specification product high-definition image process under described example state is sketched the contours of the curve that black pixel point is formed, and vitals is sketched the contours respectively the curve of black pixel point formation, and by the curve marking serial numbers of described vitals black pixel point formation.
3rd step: with obtain production status under the equal flashlamp condition of step 1 under product high-definition image to be checked.
4th step: product high-definition image to be checked process under described production status is sketched the contours of the curve that black pixel point is formed, and vitals is sketched the contours respectively the curve of black pixel point formation.
5th step: more described product lines of outline figure to be checked and described specification product lines of outline figure, the curve that described specification product vitals black pixel point is formed is compared one by one with the curve that described product vitals black pixel point to be checked is formed, if, quantity is identical, then judge that product to be checked is specification product; If quantity is different, be then judged as Short Item product, and for the sequence number corresponding to lacked parts, carry out alarm.
Above embodiment is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (5)
1. an image processing method, is characterized in that: described image processing method comprises the following steps
The first step: obtain specification product high-definition image under example state under flashlamp condition;
Second step: lines of outline figure is sketched the contours of in specification product high-definition image process under described example state, and vitals is sketched the contours lines of outline figure respectively, and by described vitals lines of outline figure marking serial numbers;
3rd step: with obtain production status under the equal flashlamp condition of step 1 under product high-definition image to be checked;
4th step: lines of outline figure is sketched the contours of in product high-definition image to be checked process under described production status, and vitals is sketched the contours lines of outline figure respectively;
5th step: more described product lines of outline figure to be checked and described specification product lines of outline figure, described specification product vitals lines of outline figure is compared one by one with described product vitals lines of outline figure to be checked, if quantity is identical, then judge that product to be checked is specification product; If quantity is different, be then judged as Short Item product, and for the sequence number corresponding to lacked parts, carry out alarm.
2. a kind of image processing method according to claim 1, is characterized in that: the described first step and described 3rd step adopt fixing camera to take pictures, and described specification product and described product to be checked are positioned at same position, and background of taking pictures is solid background.
3. a kind of image processing method according to claim 1, is characterized in that: described second step, described 4th step and described 5th step adopt industrial computer to be that platform operates.
4. a kind of image processing method according to claim 1 and 2, is characterized in that: flashlamp condition described in the described first step and described 3rd step is long bright type white light source.
5. a kind of image processing method according to claim 1, is characterized in that: starving lines of outline figure described in described second step, described 4th step and described 5th step is the curve that black pixel point is formed.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510061753.8A CN104613895A (en) | 2015-02-04 | 2015-02-04 | Picture processing method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510061753.8A CN104613895A (en) | 2015-02-04 | 2015-02-04 | Picture processing method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105374036A (en) * | 2015-11-04 | 2016-03-02 | 玉溪师范学院 | Picture processing method and device |
| CN106296774A (en) * | 2015-06-24 | 2017-01-04 | 周公谨 | A kind of generation method and system of PVG format-pattern |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101837351A (en) * | 2010-06-02 | 2010-09-22 | 天津大学 | Oil seal spring full-automatic sorting system and method based on image detection method |
| JP2011191086A (en) * | 2010-03-12 | 2011-09-29 | Omron Corp | Image processing method and image processing device |
| CN102305597A (en) * | 2011-04-29 | 2012-01-04 | 无锡众望四维科技有限公司 | Method for automatically detecting abnormal shape of injector part by using mechanical vision system |
| CN102305793A (en) * | 2011-05-11 | 2012-01-04 | 苏州天准精密技术有限公司 | Method and equipment for detecting appearance quality of product |
| JP2013101464A (en) * | 2011-11-08 | 2013-05-23 | Canon Inc | Image processing device and image processing method |
| CN103413288A (en) * | 2013-08-27 | 2013-11-27 | 南京大学 | LCD general defect detecting method |
| CN103473552A (en) * | 2013-08-09 | 2013-12-25 | 上海臻厘信息科技有限公司 | Image identification system of micro-channel tube |
-
2015
- 2015-02-04 CN CN201510061753.8A patent/CN104613895A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011191086A (en) * | 2010-03-12 | 2011-09-29 | Omron Corp | Image processing method and image processing device |
| CN101837351A (en) * | 2010-06-02 | 2010-09-22 | 天津大学 | Oil seal spring full-automatic sorting system and method based on image detection method |
| CN102305597A (en) * | 2011-04-29 | 2012-01-04 | 无锡众望四维科技有限公司 | Method for automatically detecting abnormal shape of injector part by using mechanical vision system |
| CN102305793A (en) * | 2011-05-11 | 2012-01-04 | 苏州天准精密技术有限公司 | Method and equipment for detecting appearance quality of product |
| JP2013101464A (en) * | 2011-11-08 | 2013-05-23 | Canon Inc | Image processing device and image processing method |
| CN103473552A (en) * | 2013-08-09 | 2013-12-25 | 上海臻厘信息科技有限公司 | Image identification system of micro-channel tube |
| CN103413288A (en) * | 2013-08-27 | 2013-11-27 | 南京大学 | LCD general defect detecting method |
Non-Patent Citations (1)
| Title |
|---|
| 张睿: "PCB光电外观检测系统标准检测信息库的建立和研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106296774A (en) * | 2015-06-24 | 2017-01-04 | 周公谨 | A kind of generation method and system of PVG format-pattern |
| CN106296774B (en) * | 2015-06-24 | 2021-08-20 | 周公谨 | PVG format image generation method and system |
| CN105374036A (en) * | 2015-11-04 | 2016-03-02 | 玉溪师范学院 | Picture processing method and device |
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Application publication date: 20150513 |