CN202794050U - Defects of timber online recognition system based on image processing - Google Patents
Defects of timber online recognition system based on image processing Download PDFInfo
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- CN202794050U CN202794050U CN 201220502980 CN201220502980U CN202794050U CN 202794050 U CN202794050 U CN 202794050U CN 201220502980 CN201220502980 CN 201220502980 CN 201220502980 U CN201220502980 U CN 201220502980U CN 202794050 U CN202794050 U CN 202794050U
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- timber
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- online recognition
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Abstract
The utiltiy model provides a defect of timber online recognition system based on image processing and relates to a defect of timber online recognition system and solves the problem that in the process of online recognition of a defect of timber in an sectional type production line, the defects of the upper side and the lower side of the timber can not be recognized synchronously so that accuracy of the online recognition of the defect of the timber is low. A first charge coupled device (CCD) imager is used for shooting an image of the upper surface of the timber in the sectional type production line and the image shot is input to a computer. A second CCD imager and a secondary light source are arranged on a gap portion between two adjacent sections in the sectional production line. And the shot timber surface of the second CCD imager is opposite to the shot timber surface of the first CCD imager. A picture signal output end of the second CCD imager is connected with a second picture signal input end of the computer. A control signal input end of the secondary light source is connected with a control signal output end of the computer. The defect of the timber online recognition system based on the image processing is suitable for the online shortage recognition of the timber.
Description
Technical field
The utility model relates to a kind of defects in timber ONLINE RECOGNITION system.
Background technology
At present, the method of ONLINE RECOGNITION defects in timber on the sectional type streamline, it is the top that video heads or CCD imager is suspended on streamline, with the shooting face of video heads or the CCD imager upper surface towards timber, and in real time the upper surface of timber is carried out imaging, then input to and carry out the image processing in the computing machine, finally realize the defects in timber ONLINE RECOGNITION.But this method is owing to can't photograph the lower surface of timber, and therefore, the accuracy of defects in timber ONLINE RECOGNITION is low.
The utility model content
The utility model is in order to solve at present on the sectional type streamline in the process of ONLINE RECOGNITION defects in timber, can't identify simultaneously the defective on upper and lower two faces of timber, cause the low problem of defects in timber ONLINE RECOGNITION accuracy, thereby a kind of defects in timber ONLINE RECOGNITION system that processes based on image is provided.
Based on the defects in timber ONLINE RECOGNITION system that image is processed, it comprises computing machine 1, CCD imager 2 and display 5; A described CCD imager 2 is suspended on the top of sectional type streamline, and the shooting face of a described CCD imager 2 is towards the upper surface of sectional type streamline; The image signal output end of a described CCD imager 2 is connected with a picture signal input end of computing machine 1; The display input end of display 5 is connected with the display output terminal of computing machine 1;
It also comprises No. two CCD imagers 3 and secondary light source 4, described No. two CCD imagers 3 and secondary light source 4 all are arranged on the gap between adjacent two sections streamlines in the sectional type streamline, and the shooting face of the shooting face of described No. two CCD imagers 3 and a CCD imager 2 is oppositely arranged; The image signal output end of described No. two CCD imagers 3 is connected with No. two picture signal input ends of computing machine 1; The control signal input end of secondary light source 4 is connected with the control signal output terminal of computing machine 1.
It also comprises warning circuit 6, and the alarm signal input end of described warning circuit 6 is connected with the alarm signal input end of computing machine 1.
It also comprises storer 7, and the memory signals input end of described storer 7 is connected with the memory signals output terminal of computing machine 1.
The utility model carries out imaging by two CCD imagers simultaneously to upper surface and the lower surface of timber on the sectional type streamline, then adopt computing machine to carry out the ONLINE RECOGNITION of defects in timber, the defects in timber ONLINE RECOGNITION apparatus and method that compare present, recognition accuracy of the present utility model can be enhanced about more than once.
Description of drawings
Fig. 1 is structural representation of the present utility model.Fig. 2 is the utility model view in use, and mark 8 is timber to be measured among the figure, and mark 9 is the conveyer of streamline.
Embodiment
Embodiment one, in conjunction with Fig. 1 this embodiment is described, based on the defects in timber ONLINE RECOGNITION system that image is processed, it comprises computing machine 1, CCD imager 2 and display 5; A described CCD imager 2 is suspended on the top of sectional type streamline, and the shooting face of a described CCD imager 2 is towards the upper surface of sectional type streamline; The image signal output end of a described CCD imager 2 is connected with a picture signal input end of computing machine 1; The display input end of display 5 is connected with the display output terminal of computing machine 1;
It also comprises No. two CCD imagers 3 and secondary light source 4, described No. two CCD imagers 3 and secondary light source 4 all are arranged on the gap between adjacent two sections streamlines in the sectional type streamline, and the shooting face of the shooting face of described No. two CCD imagers 3 and a CCD imager 2 is oppositely arranged; The image signal output end of described No. two CCD imagers 3 is connected with No. two picture signal input ends of computing machine 1; The control signal input end of secondary light source 4 is connected with the control signal output terminal of computing machine 1.
The utility model carries out imaging by two CCD imagers simultaneously to upper surface and the lower surface of timber on the sectional type streamline, then adopts computing machine to carry out the ONLINE RECOGNITION of defects in timber.The image-recognizing method that computing machine adopts can adopt existing defects in timber recognition methods based on BIRCH or based on the defects in timber recognition methods of cluster analysis.
The defects in timber ONLINE RECOGNITION apparatus and method that compare present, recognition accuracy of the present utility model can be enhanced about more than once.
The difference of the described defects in timber ONLINE RECOGNITION system that processes based on image of embodiment two, this embodiment and embodiment one is, it also comprises warning circuit 6, and the alarm signal input end of described warning circuit 6 is connected with the alarm signal input end of computing machine 1.
In the present embodiment, when computing machine recognizes defects in timber, send alarm signal by warning circuit 6, thereby the prompting field staff is to follow-up works such as timber cut.
The difference of embodiment three, this embodiment and embodiment one or the two described defects in timber ONLINE RECOGNITION systems that process based on image is that warning circuit 6 adopts hummers to realize.
The difference of the described defects in timber ONLINE RECOGNITION system that processes based on image of embodiment four, this embodiment and embodiment three is, it also comprises storer 7, and the memory signals input end of described storer 7 is connected with the memory signals output terminal of computing machine 1.
In the present embodiment, adopt the image of 7 pairs of two CCD imagers of storer to store, be convenient to follow-up accuracy validation.
The difference of embodiment five, this embodiment and embodiment one, the two or four described defects in timber ONLINE RECOGNITION systems that process based on image is that secondary light source 4 is the LED lamp.
Claims (5)
1. the defects in timber ONLINE RECOGNITION system that processes based on image, it comprises computing machine (1), a CCD imager (2) and display (5); A described CCD imager (2) is suspended on the top of sectional type streamline, and the shooting face of a described CCD imager (2) is towards the upper surface of sectional type streamline; The image signal output end of a described CCD imager (2) is connected with a picture signal input end of computing machine (1); The display input end of display (5) is connected with the display output terminal of computing machine (1);
It is characterized in that: further comprising No. two CCD imagers (3) and secondary light source (4), described No. two CCD imagers (3) and secondary light source (4) all are arranged on the gap between adjacent two sections streamlines in the sectional type streamline, and the shooting face of the shooting face of described No. two CCD imagers (3) and a CCD imager (2) is oppositely arranged; The image signal output end of described No. two CCD imagers (3) is connected with No. two picture signal input ends of computing machine (1); The control signal input end of secondary light source (4) is connected with the control signal output terminal of computing machine (1).
2. the defects in timber ONLINE RECOGNITION system that processes based on image according to claim 1 is characterized in that it also comprises warning circuit (6), and the alarm signal input end of described warning circuit (6) is connected with the alarm signal input end of computing machine (1).
3. the defects in timber ONLINE RECOGNITION system that processes based on image according to claim 1 and 2 is characterized in that warning circuit (6) adopts hummer to realize.
4. the defects in timber ONLINE RECOGNITION system that processes based on image according to claim 3 is characterized in that it also comprises storer (7), and the memory signals input end of described storer (7) is connected with the memory signals output terminal of computing machine (1).
5. according to claim 1, the 2 or 4 described defects in timber ONLINE RECOGNITION systems that process based on image, it is characterized in that secondary light source (4) is the LED lamp.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220502980 CN202794050U (en) | 2012-09-28 | 2012-09-28 | Defects of timber online recognition system based on image processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220502980 CN202794050U (en) | 2012-09-28 | 2012-09-28 | Defects of timber online recognition system based on image processing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202794050U true CN202794050U (en) | 2013-03-13 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201220502980 Expired - Fee Related CN202794050U (en) | 2012-09-28 | 2012-09-28 | Defects of timber online recognition system based on image processing |
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| CN (1) | CN202794050U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106680299A (en) * | 2017-01-12 | 2017-05-17 | 国家林业局北京林业机械研究所 | Plate knurr appearance quality evaluation method |
| CN109100368A (en) * | 2018-09-05 | 2018-12-28 | 广州达欧技术检测有限公司 | A kind of wood-based product's detection method |
-
2012
- 2012-09-28 CN CN 201220502980 patent/CN202794050U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106680299A (en) * | 2017-01-12 | 2017-05-17 | 国家林业局北京林业机械研究所 | Plate knurr appearance quality evaluation method |
| CN109100368A (en) * | 2018-09-05 | 2018-12-28 | 广州达欧技术检测有限公司 | A kind of wood-based product's detection method |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130313 Termination date: 20130928 |