CN1800838A - Non-destructive test device for wood - Google Patents
Non-destructive test device for wood Download PDFInfo
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- CN1800838A CN1800838A CNA2004100441956A CN200410044195A CN1800838A CN 1800838 A CN1800838 A CN 1800838A CN A2004100441956 A CNA2004100441956 A CN A2004100441956A CN 200410044195 A CN200410044195 A CN 200410044195A CN 1800838 A CN1800838 A CN 1800838A
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Abstract
The invention relates to an undamaged wood detection device for wood defect. Wherein, irradiating the wood with X-ray as detection source; with image processing function, sending the received X-ray image into an ADC through a low-light camera; and storing the transformed digital image in computer memory for treatment and analysis and identification with computer digital image processing technique. This invention has no damage to the wood, has sharp detection result with high accuracy, and is safe to operator.
Description
(1) technical field
The present invention relates to a kind of timber the cannot-harm-detection device, mainly is to be used for whether timber is had the device that defective is carried out Non-Destructive Testing.
(2) background technology:
The technical method that timber is carried out Non-Destructive Testing has methods such as Microwave Measurement, ultrasound examination, stress wave detection, vibration detection, acoustic emission detection and X ray detection.Microwave Measurement and ultrasound examination need transmission medium, are difficult in practice use.Stress wave detection, vibration detection and acoustic emission testing result out of true, very difficult particular location, size and the degree of judging defective exactly.The object effect of X ray detection metal, human body isodensity unanimity is better, detects the bigger timber of density variation, and its precision is difficult to satisfy actual requirement, and detecting on-the-spot radiation has harm to human body.These methods all rest on theoretical research stage at present at home, do not have to form the hardware device that can use in production reality.
(3) summary of the invention:
For practical application, improve accuracy of detection, overcome and detect the deficiencies in the prior art such as harm of on-the-spot X-radiation human body, the present invention adopts X ray as detection resources, irradiation log xsect, the application image processing capacity, the x-ray image that obtains on the receiving screen is sent in the A/D converter by low-light video camera, deposit the digital picture that forms after the conversion in calculator memory again, the appliance computer digital image processing techniques are handled the defective in the timber, analyze and identification, operating personnel do not work in having the environment of radiation effect, security of system, reliably, X ray does not damage Wood Defects Testing, after Flame Image Process, testing result is clear, and accuracy of detection obviously improves, and is easy to human eye identification.
The technical solution adopted in the present invention is: by X ray test section, image sensing part, image acquisition part and image processing part are grouped into; Select X ray as detection resources, be radiated on the timber, utilize the fluorescence imaging effect of X ray, make internal feature imaging on absorbing screen of timber; Adopt low-light video camera to make the image input pickup, the analog image on the absorbing screen is sent to image pick-up card; The simulating signal that transmits becomes digital signal through the A/D change-over circuit and deposits video memory in, and and computer interface; The Applied Digital image processing techniques is handled radioscopic image, and the Flame Image Process mode is: filtering, sharpening (enhancing), edge extracting.
The present invention has realized practical application, overcome and detected of the harm of on-the-spot X-radiation human body, operating personnel do not work in having the environment of radiation effect, security of system, reliable, X ray does not damage Wood Defects Testing, and after Flame Image Process, testing result is clear, accuracy of detection obviously improves, and is easy to human eye identification.
(4) description of drawings
The present invention is further described below in conjunction with accompanying drawing.
Fig. 1 is defects in timber X ray the cannot-harm-detection device synoptic diagram.
Among Fig. 1,1 is the X ray test section, comprises x-ray source, X ray absorbing screen and timber.2 is the image sensing part, comprises low-light (level) low-light camera head, image amplifier, video transmission line.3 is the image acquisition part, comprises A/D converter, data-carrier store, computer interface.4 is image processing section, comprises computing machine and image processing software.
Fig. 2 is the image processing software functional schematic.
Among Fig. 2, the 1st, defects in log image processing system workbench master menu, the 2nd, image input; This functional block finish from video camera accept and believe piece image (512 * 512 * 8bit), deposit the task of calculator memory in the BMP form.The image of input is presented on the microcomputer monitor.The 3rd, image access; This functional block is finished the conversion of microcomputer memory image and disk file, can open image file, memory image file, with another name memory image file or the like.The 4th, the platen window management; This functional block is in charge of platen window, has tiling all windows, all windows of lining up, Close All the Windows, retrieves function such as all windows fast.The 5th, image geometry is handled; This functional block realize image amplification, dwindle.The 6th, the AIO operation; This functional block can define an area-of-interest in image, can carry out various processing to this zone after the definition.The 7th, the LOI operation; This functional block can define a line segment interested on a certain the straight line in image, thereby realizes the various processing to any line segment.The 8th, Flame Image Process; This functional block comprises 13 subblocks.The 9th, Fast Median Filtering; This wave filter can effectively be removed point-like noise in the image, and template size can be chosen to be 3 * 3,5 * 5 or 7 * 7, and the acquiescence template size is 3 * 3.The 10th, quick mean filter; But this wave filter smoothed image is removed spot noise, and template size can be chosen to be 3 * 3,5 * 5 or 7 * 7, and the acquiescence template size is 3 * 3.The 11st, gaussian filtering; This wave filter can carry out denoising to image in platform, to realize Real-Time Filtering; Template size is 5 * 5,7 * 7,9 * 9,13 * 13, and the acquiescence template size is 5 * 5.The 12nd, the image pseudo-colours is handled; This module comprises: the pseudo-colours layering, self-defined pseudo-colours layering, can be in RGB 3 looks the optional transformation curve, at the different processing scheme of dissimilar log fulfillment.The 13rd, the image histogram equalization; Module can be drawn back the gray scale of image, and enhancing contrast ratio makes image be convenient to watch.The 14th, the image border strengthens; This is the image edge enhancement method of using always, adopts the outstanding image border of differentiating operator.The 15th, Hough (Hough) conversion; The method of simple geometric shape is described with parameter.The 16th, border following algorithm; Edge following calculation with defective in the log radioscopic image connects into continuous curve.The 17th, image segmentation algorithm; Utilize the consistance in proper vector checking image zone, thereby reach the purpose that image segmentation is become zones of different.The 18th, detect the edge with fractal fast algorithm; Use fractal parameter and detect defective edge in the log radioscopic image in real time.The 19th, Image Edge-Detection; Utilize the template detection image border, comprise Laplace, Sobel, Kirsch and improved Laplace edge detection method.Template size is 3 * 3,5 * 5 and 7 * 7.The 20th, image grey level histogram shows; This module shows the form of image with grey level histogram, can reflect the grey level histogram distribution situation of log radioscopic image intuitively.The 21st, homomorphic filtering; In frequency domain, simultaneously the brightness of image scope is compressed and picture contrast is strengthened.
(5) embodiment
The technical solution adopted in the present invention is: detect test section, image sensing part by X ray, image acquisition part and image processing part are grouped into; Select X ray as detection resources, be radiated on the timber, utilize the fluorescence imaging effect of X ray, make internal feature imaging on absorbing screen of timber; Adopt low-light video camera to make the image input pickup, the analog image on the absorbing screen is sent to image pick-up card; The simulating signal that transmits becomes digital signal through the A/D change-over circuit and deposits video memory in, and and computer interface; The Applied Digital image processing techniques is handled radioscopic image, and the Flame Image Process mode is: filtering, sharpening (enhancing), edge extracting.
Utilize the fluorescence imaging effect of X ray, be that X ray can make calcium sulfide, zinc sulphide, platinum, barium cyanide, materials such as artificial schellite and lead sulfate barium are emitted in the dark place and are easy to observed fluorescence, and same fluorescent material sends the power of fluorescence and with the relation that the X ray power of passing through log of reception is directly proportional log is carried out Non-Destructive Testing, when ray passes through tested log, the defectiveness position is different to ray absorption capacity with the zero defect position, generalized case is the transmitted intensity that is higher than (or being lower than) zero defect position through the transmitted intensity at defectiveness position, thereby can judge whether detected log inside exists defective by detecting difference through the transmitted intensity behind the tested object.But Direct observation often is difficult to avoid human body to be endangered, sensitivity is not high yet, therefore, the experiment disposal system adopts low-light video camera to make the image input pickup picture signal is sent to computing machine, avoid the human eye Direct observation and be subjected to radiation, the simulating signal that transmits becomes digital signal and deposits video memory in through the A/D change-over circuit, and the Applied Digital image processing techniques is handled radioscopic image.Defects in timber X ray Non-Destructive Testing image acquisition of setting up and disposal system basic structure are as shown in Figure 1.According to physical condition, adopt homemade industrial X-ray machine (2005) perspective log xsect, imaging on the video screen that scribbles fluorescent material (as ZnS/CaS), total system is that various operations and Digital Image Processing work are finished in the center with 586 computing machines.
Image processing method has: histogram equalization, histogram specification, quick mean filter, Fast Median Filtering, time-domain filtering, airspace filter, SOBEL operator, KIRSCH operator, LAPLACE operator, differential sharpening and fractal parameter detect edge etc.
A kind of timber the cannot-harm-detection device of the present invention, its x-ray source can be industrial X-ray machine or grenz ray machine.
A kind of timber the cannot-harm-detection device of the present invention, as the used low-light camera head of image sensing, illumination is lower than the 10-3 lux, guarantees that further operating personnel do not work in having the environment of radiation effect.
A kind of timber the cannot-harm-detection device of the present invention, can adopt image collection card in the image acquisition part, A/D converter, data-carrier store can be gathered BMP or the DIB format digital image of 512 * 512 * 8bit, and image is stored in the calculator memory by computer interface.
A kind of timber the cannot-harm-detection device of the present invention, the appliance computer digital image processing techniques are analyzed and are handled the defect image in the timber.Image processing method comprises: histogram equalization, histogram specification, quick mean filter, Fast Median Filtering, time-domain filtering, airspace filter, SOBEL operator, KIRSCH operator, LAPLACE operator, differential sharpening and fractal parameter detect edge etc.
Claims (5)
1, a kind of timber the cannot-harm-detection device, by X ray test section, image sensing part, image acquisition part and image processing part are grouped into; Select X ray as detection resources, be radiated on the timber, utilize the fluorescence imaging effect of X ray, make internal feature imaging on absorbing screen of timber; Adopt low-light video camera to make the image input pickup, the analog image on the absorbing screen is sent to image pick-up card; The simulating signal that transmits becomes digital signal through the A/D change-over circuit and deposits video memory in, and and computer interface; The Applied Digital image processing techniques is handled radioscopic image, and the Flame Image Process mode is: filtering, sharpening (enhancing), edge extracting.
2, a kind of timber the cannot-harm-detection device according to claim 1 is characterized in that: the radiographic source of X ray test section is industrial X-ray machine or grenz ray machine.
3, a kind of timber the cannot-harm-detection device according to claim 1 is characterized in that: as the used low-light camera head of image sensing, illumination is lower than 10
-3The lux.
4, a kind of timber the cannot-harm-detection device according to claim 1, it is characterized in that: image acquisition partly adopts image collection card, A/D converter, data-carrier store, can gather BMP or the DIB format digital image of 512 * 512 * 8bit, image is stored in the calculator memory by computer interface.
5, a kind of timber the cannot-harm-detection device according to claim 1, it is characterized in that: the appliance computer digital image processing techniques are analyzed and are handled the defect image in the timber; Image processing method comprises: histogram equalization, histogram specification, quick mean filter, Fast Median Filtering, time-domain filtering, airspace filter, SOBEL operator, KIRSCH operator, LAPLACE operator, differential sharpening and fractal parameter detect edge etc.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2004100441956A CN1800838A (en) | 2004-12-30 | 2004-12-30 | Non-destructive test device for wood |
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2004100441956A CN1800838A (en) | 2004-12-30 | 2004-12-30 | Non-destructive test device for wood |
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| CN1800838A true CN1800838A (en) | 2006-07-12 |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101603820B (en) * | 2009-07-23 | 2010-12-01 | 中国林业科学研究院木材工业研究所 | Real-time detection system for wood microstructure characteristic changes |
| CN101603819B (en) * | 2009-07-23 | 2011-11-16 | 中国林业科学研究院木材工业研究所 | Real-time measurement method for wood deformation microstructure characteristics |
| CN102507617A (en) * | 2011-11-23 | 2012-06-20 | 兰州瑞奇戈德测控技术有限公司 | X-ray digital imaging detection device for detecting welding seam of tube row |
| CN103674958A (en) * | 2013-12-24 | 2014-03-26 | 广西建林博物馆 | Lossless furniture identification method |
| CN103760168A (en) * | 2014-01-15 | 2014-04-30 | 陈涛 | Smoothness-characteristic-quantity-based surface gray scale defect detection method for rotary-cut wooden product |
| CN103792244A (en) * | 2014-03-04 | 2014-05-14 | 东北林业大学 | Wood nondestructive testing device capable of conducting imaging in real time at any angle |
| CN104156961A (en) * | 2014-08-12 | 2014-11-19 | 东北林业大学 | Gray scale defect image extraction method |
| CN104730079A (en) * | 2015-03-10 | 2015-06-24 | 盐城市圣泰阀门有限公司 | Defect detection system |
| CN106371013A (en) * | 2016-11-08 | 2017-02-01 | 广东电网有限责任公司电力科学研究院 | Picture identification-based GIS switch fault automatic identification system |
| CN108375353A (en) * | 2017-12-14 | 2018-08-07 | 北京木业邦科技有限公司 | A kind of log detection method, apparatus and equipment |
| CN110111309A (en) * | 2019-04-12 | 2019-08-09 | 国网江苏省电力有限公司电力科学研究院 | Carbon fiber composite core wire ray image processing method, defect inspection method, device, equipment and computer storage medium |
| CN110646448A (en) * | 2019-11-08 | 2020-01-03 | 丹东奥龙射线仪器集团有限公司 | X-ray nondestructive testing device for internal structure of hardwood |
-
2004
- 2004-12-30 CN CNA2004100441956A patent/CN1800838A/en active Pending
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101603819B (en) * | 2009-07-23 | 2011-11-16 | 中国林业科学研究院木材工业研究所 | Real-time measurement method for wood deformation microstructure characteristics |
| CN101603820B (en) * | 2009-07-23 | 2010-12-01 | 中国林业科学研究院木材工业研究所 | Real-time detection system for wood microstructure characteristic changes |
| CN102507617A (en) * | 2011-11-23 | 2012-06-20 | 兰州瑞奇戈德测控技术有限公司 | X-ray digital imaging detection device for detecting welding seam of tube row |
| CN103674958A (en) * | 2013-12-24 | 2014-03-26 | 广西建林博物馆 | Lossless furniture identification method |
| CN103760168A (en) * | 2014-01-15 | 2014-04-30 | 陈涛 | Smoothness-characteristic-quantity-based surface gray scale defect detection method for rotary-cut wooden product |
| CN103792244B (en) * | 2014-03-04 | 2015-12-30 | 东北林业大学 | A kind of wood nondestructive testing device of arbitrarily angled real time imagery |
| CN103792244A (en) * | 2014-03-04 | 2014-05-14 | 东北林业大学 | Wood nondestructive testing device capable of conducting imaging in real time at any angle |
| CN104156961A (en) * | 2014-08-12 | 2014-11-19 | 东北林业大学 | Gray scale defect image extraction method |
| CN104730079A (en) * | 2015-03-10 | 2015-06-24 | 盐城市圣泰阀门有限公司 | Defect detection system |
| CN106371013A (en) * | 2016-11-08 | 2017-02-01 | 广东电网有限责任公司电力科学研究院 | Picture identification-based GIS switch fault automatic identification system |
| CN108375353A (en) * | 2017-12-14 | 2018-08-07 | 北京木业邦科技有限公司 | A kind of log detection method, apparatus and equipment |
| CN108375353B (en) * | 2017-12-14 | 2024-04-19 | 北京木业邦科技有限公司 | Wood detection method, device and equipment |
| CN110111309A (en) * | 2019-04-12 | 2019-08-09 | 国网江苏省电力有限公司电力科学研究院 | Carbon fiber composite core wire ray image processing method, defect inspection method, device, equipment and computer storage medium |
| CN110111309B (en) * | 2019-04-12 | 2022-08-19 | 国网江苏省电力有限公司电力科学研究院 | Carbon fiber composite core wire ray image processing, defect detection and storage medium |
| CN110646448A (en) * | 2019-11-08 | 2020-01-03 | 丹东奥龙射线仪器集团有限公司 | X-ray nondestructive testing device for internal structure of hardwood |
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