CN110211107A - A kind of mining adhesive tape damage detecting method based on dual-band infrared image - Google Patents
A kind of mining adhesive tape damage detecting method based on dual-band infrared image Download PDFInfo
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- 239000002390 adhesive tape Substances 0.000 title claims abstract description 101
- 238000005065 mining Methods 0.000 title claims abstract description 55
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- 230000008569 process Effects 0.000 claims description 5
- 238000007689 inspection Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 abstract 1
- 239000003245 coal Substances 0.000 description 6
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- 238000004519 manufacturing process Methods 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- 239000007787 solid Substances 0.000 description 2
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- 239000003818 cinder Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
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- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- G06T2207/20061—Hough transform
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Abstract
A kind of mining adhesive tape damage detecting method based on dual-band infrared image of the present invention, belongs to mining adhesive tape detection technique field；Dual-band infrared detecting module acquires mining adhesive tape image, image is smoothed using median filtering, the determination of segmentation threshold uses automatic threshold alternative manner, according to the brightness calculation image segmentation threshold of each gray-scale number of pixels of previous frame image and pixel, binary conversion treatment is carried out to next frame image using segmentation threshold, utilize the straight line quantity in Hough algorithm detection image, mining adhesive tape potential risk is judged according to testing result, utilize the maximum value of gray scale in image and the difference of minimum value and preset threshold value comparison, determine the state of mining adhesive tape；Present invention reduces the influences of Human disturbance, can be realized on-line checking, and accuracy rate is high, effectively identify tearing and the scratch of mining adhesive tape.
Description
Technical field
The present invention relates to mining adhesive tape detection technique fields, more specifically, it is related to one kind based on dual-band infrared figure
The real-time mining adhesive tape damage detecting method of picture.
Background technique
Mining adhesive tape is widely used in coal production process, carries the transport task of safety and stability.In daily production
In, the foreign matters such as Chang Huiyou spoil or metal are mixed in coal, are fallen on mining adhesive tape with coal from blanking port, are easily caused
The longitudinal tear of adhesive tape；Tearing accident once occurs, it will the equipment of damage coal production and transport causes huge economic damage
It loses, more seriously may cause casualties, therefore real-time and reliable longitudinal tear safety detection is carried out to mining adhesive tape
Seem particularly important.
In mining adhesive tape detection field, there are many existing mining adhesive tape safety detection methods, are detected with mechanical device
That there are detection accuracy is not high for the coal cinder method to fall on adhesive tape, is unable to the problems such as real-time detection；Electromagnetism is installed on mining adhesive tape
The method complex installation process of circle increases the transport power of Coal Transport machine；It is made with the square law device that X-ray check adhesive tape damages
Valence is high, while can cause centainly to injure to the health of field personnel, thus need a kind of accuracy rate is high, be easily achieved,
Contactless detection method.
Summary of the invention
In view of the deficiencies of the prior art, the present invention intends to provide a kind of reality based on dual-band infrared image
When mining adhesive tape damage detecting method, which is mainly used for mining adhesive tape longitudinal tear real-time detection.
To achieve the above object, the present invention provides the following technical scheme that
A kind of mining adhesive tape damage detecting method based on dual-band infrared image, comprising the following steps:
S10. mining adhesive tape infrared image is acquired using dual-band infrared detecting module, and using median filtering to the original of acquisition
Image is smoothed.
S20. filtered image is subjected to binary conversion treatment using segmentation threshold, wherein determining for segmentation threshold uses certainly
Dynamic threshold value alternative manner, the automatic threshold alternative manner include:
S21. the number of pixels of each gray level of former frame filtering image is countedN i(i=1,2,3 ... L), wherein L represents most high ash
Spend grade；For first frame image, its pixel is arranged from small to large according to gray level, threshold value T(i) take gray level median；
S22. according to the brightness of each pixel, image segmentation threshold is calculatedT(i):
；
S23. segmentation threshold is usedT(i) binary conversion treatment is carried out to next frame image:
,
WhereinFor next frame image single pixel gray value before binary conversion treatment,Under after binary conversion treatment
The corresponding single pixel gray value of one frame image.
S30. the image Jing Guo binary conversion treatment is detected, judges mining adhesive tape with the presence or absence of latent according to testing result
In risk.
S40. according to potential risk as a result, determining whether mining adhesive tape tears.
Further, determine that mining adhesive tape includes: with the presence or absence of risk method in step S30
S31. straight-line detection, the straight line quantity N that statistic mixed-state goes out are carried out to the image Jing Guo binary conversion treatment；
S32. judge mining adhesive tape with the presence or absence of potential risk, straight-line detection side according to the straight line quantity N in straight-line detection image
Method uses Hough algorithm process image,
。
Further, determine whether mining adhesive tape tears method and include: in step S40
S41. on the basis of medium wave band infrared image, the maximum value and minimum value of gray scale in image are determined；
S42. the difference G of the maximum value of gray scale in S41 and minimum value is compared with threshold value T, determines the state of mining adhesive tape,
。
Further, dual-band infrared detecting module is mounted between adhesive tape and lower adhesive tape, is fixed on by connecting bracket
On the big frame of adhesive tape, dual-band infrared detecting module acquires the image information of adhesive tape lower surface.
In conclusion invention has the advantages that
1, the present invention carries out carrying out image threshold segmentation using a kind of automatic threshold alternative manner, passes through statistics previous frame image gray scale letter
Cease the segmentation threshold for determining next frame image, it can be achieved that each frame image effective segmentation, using solid caused by avoiding because of external interference
Image segmentation when determining threshold value is undesirable.
2, the present invention can be realized on-line checking compared to other detection methods using dual-band infrared detection method.
3, the present invention can more effectively identify mine by detection medium wave band image pixel maximum brightness and minimum brightness difference
Tearing and scratch with adhesive tape, accuracy rate are high.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is infrared detection module scheme of installation；
Fig. 3 is adhesive tape tearing and background adhesive tape infra-red radiation contrast；
Fig. 4 is adhesive tape scratch and background adhesive tape infra-red radiation contrast；
Fig. 5 is long-wave band infrared image when mining adhesive tape is torn；
Fig. 6 is long-wave band infrared image straight-line detection result when mining adhesive tape is torn；
Fig. 7 is medium wave band infrared image when mining adhesive tape is torn；
Fig. 8 is medium wave band infrared image straight-line detection result when mining adhesive tape is torn；
Fig. 9 is infrared image when mining adhesive tape is normal.
In figure: 1- connecting bracket, the big frame of 2- adhesive tape, adhesive tape under 3-, 4- infrared detection module, 5- adhesive tape.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
A kind of mining adhesive tape damage detecting method based on infrared image of the present invention, uses dual-band infrared detecting module 4
It completes, as shown in Figure 1, dual-band infrared detecting module 4 is mounted between adhesive tape 5 and lower adhesive tape 3, it is solid by connecting bracket 1
It is scheduled on the big frame 2 of adhesive tape, dual-band infrared detecting module 4 acquires 5 lower surface image information of adhesive tape；Dual-band infrared used is visited
Survey the essential information of module 4 are as follows: long-wave band infrared detection module pixel is 336 × 256, and module focal length is 15cm, acquires image
Frame frequency is 30Hz, and imaging band is 8 ~ 12um；Medium wave band infrared detection module pixel is 640 × 512, and module focal length is 15cm,
Acquired image frames frequency is 30Hz, and imaging band is 3.6 ~ 5.5um.
A kind of mining adhesive tape damage detecting method based on infrared image of the present invention, comprising the following steps:
S10. mining adhesive tape infrared image is acquired using dual-band infrared detecting module 4, and using median filtering to the original of acquisition
Beginning image is smoothed；Median filter is a kind of nonlinear spatial filtering device, and the response of filter is surrounded with filter
Image-region included in based on pixel sequence, the value determined using sort method result replaces the value of center pixel；
It makes an uproar since image can generate many noises of superposition on the image, i.e. pulses in the form of black-white point in formation and transmission process
Sound, median filtering is largely effective to impulsive noise, since noise area is little, shows that filter window is locked by a series of experiments
It is set to 7 × 7 square windows, image smoothing effect is best.
S20. filtered image is subjected to binary conversion treatment using segmentation threshold, wherein determining for segmentation threshold uses certainly
Dynamic threshold value alternative manner, the automatic threshold alternative manner include:
S21. each gray-level pixels number of former frame filtering image is countedN i(i=1,2,3 ... L), wherein L represents highest gray scale
Grade；For first frame image, its pixel is arranged from small to large according to gray level, threshold value T(i) take gray level median；
S22. according to the brightness of each pixel, image segmentation threshold is calculatedT(i):
；
S23. segmentation threshold is usedT(i) binary conversion treatment is carried out to next frame image:
,
WhereinFor next frame image single pixel gray value before binary conversion treatment,Under after binary conversion treatment
One frame image corresponds to single pixel gray value；The present invention is using the method for threshold value iteration instead of empirically specifying in the prior art
The method of threshold value determines the segmentation threshold of next frame image by counting previous frame image grayscale information, realizes each frame image
Effectively segmentation, can obtain segmentation threshold automaticallyT(i) the influence for, reducing Human disturbance effectively improves the effect of automatic identification
Rate；Image segmentation when caused by avoiding because of external interference using fixed threshold is undesirable.
S30. the image Jing Guo binary conversion treatment is detected, determines that mining adhesive tape whether there is wind according to testing result
Danger.
Wherein it is determined that mining adhesive tape includes: with the presence or absence of risk method
S31. straight-line detection, the straight line quantity N that statistic mixed-state goes out are carried out to the image Jing Guo binary conversion treatment；
S32. judge mining adhesive tape with the presence or absence of potential risk, the straight line inspection according to the straight line quantity N in straight-line detection image
Survey method uses Hough algorithm process image,
。
The transformation of Hough line utilizes the point-line duality of image space and Hough parameter space, and the detection of image space is asked
Topic is transformed into parameter space, and the transformation of Hough line clusters the pixel in image space with certain relationship, in parameter space
Interior searching accumulator peak value；The process of Hough straight-line detection:
1. extracting the coordinate value that gray value in rectangular coordinate system is 255 pixelsx i Withy i (i=1,2,3 ... N), wherein N is represented
The maximum value of pixel number；
2. the coordinate of each point is brought into corresponding polar coordinate system, wherein the point in rectangular coordinate system is corresponded in polar coordinate system
One section of curve；
ρ=x i cosθ+y i sinθ；
3. be overlapped the curve number certain peak value of arrival on one point in polar coordinate system, then explanation has straight in rectangular coordinate system
Line exists；It is corresponding to read that point in polar coordinate systemρ 0Withθ 0, indicated in rectangular coordinate system are as follows:
。
The present invention uses progressive probability Hough transformation, and this algorithm carries out the possible point of each of plane tired
Product, only accumulates a part therein, in the sufficiently high position of peak value, only spends seldom time that can obtain result；Statistics warp
The quantity for crossing straight line in image after Hough algorithm process, when mining adhesive tape is not rubbed by sharp objects, infrared detection module
The image of acquisition does not have straight line generation after treatment；Straight line be can detecte out by image procossing when risky generation,
As shown in Figure 6 and Figure 8, therefore by calculating straight line quantity N mining adhesive tape can be judged with the presence or absence of potential risks.
S40. according to potential risk as a result, determining whether mining adhesive tape tears.
Wherein, determine whether mining adhesive tape tears method and include: in S40
S41. on the basis of medium wave band infrared image, the maximum value and minimum value of gray scale in image are determined；Glue when adhesive tape is torn
Belt surface temperature is up to 500K or more, and tape surface temperature is in 343K when adhesive tape scratches, and background adhesive tape temperature is 305K, such as schemes
Shown in 3, adhesive tape tear place is more many more than the medium wave band amount of infrared radiation than background adhesive tape, and peak of curve is larger, corresponding image slices
Plain brightness value is also big；As shown in figure 4, at adhesive tape scuffing with background adhesive tape in medium wave band amount of infrared radiation difference little, curve ripple
Peak-to-peak value is smaller, and corresponding image pixel intensity value is smaller.This patent distinguishes this by comparing image pixel intensity maximum difference
Two kinds of adhesive tape states；One pointer variable is set, with order traversal image each pixel from top to bottom from left to right, choosing
Biggish one is selected in the gray value and previous gray value comparison result for pass back pixel, can be obtained gray scale after the completion of traversal
Maximum value；The minimum value of gray scale is obtained in the same way；
S42. the difference G of the maximum value of gray scale in S41 and minimum value is compared with threshold value T, determines the state of mining adhesive tape,
Brightness maxima in grey level histogram is set to MAX H(i), brightness minimum value is set to MIN H(i), preset the threshold of difference
Value T, luminance difference G=MAX H(i)-MIN H(i), when luminance difference is less than threshold value T, it is judged as scratch and is otherwise determined
For tearing, that is, may be expressed as:
。
According to adhesive tape tearing with scratch in the different setting threshold value T of medium wave band infrared image pixel brightness, adhesive tape tear place
Temperature is higher, and image pixel intensity value is high, and temperature is lower than the temperature of tear place at adhesive tape scratch, and image pixel intensity value is low, because
This, according to background adhesive tape pixel intensity and the tearing of adhesive tape and the different differences of scratch luminance difference are torn and scratch, tearing
Luminance difference is higher than scratch, and two luminance differences are stablized in a certain range, thus based on threshold value T is set, can accurately sentence
Whether breaking adhesive tape tears.
The present invention acquires mining adhesive tape infrared image using dual-band infrared detecting module, in long-wave band infrared image no matter
When adhesive tape scuffing at or adhesive tape tear place it is higher than background adhesive tape gray value, be easy to distinguish with normal belt；Medium wave band image
The gray value of middle adhesive tape tear place and background adhesive tape difference is bigger, and tear place is easy to than being easier to show in long-wave band
Adhesive tape tearing and scratch are distinguished, scratch and tearing are damaged to adhesive tape, and tearing is bigger to the harm of belt, in subsequent adhesive tape
In processing, tearing needs replacing adhesive tape, and scuffing is then handled by staff as the case may be.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (4)
1. a kind of mining adhesive tape damage detecting method based on dual-band infrared image, for the real-time of mining adhesive tape longitudinal tear
Detection, it is characterised in that the following steps are included:
S10. mining adhesive tape infrared image is acquired using dual-band infrared detecting module (4), and using median filtering to acquisition
Original image is smoothed；
S20. filtered image is subjected to binary conversion treatment using segmentation threshold, wherein determining for segmentation threshold uses automatic threshold
It is worth alternative manner, the automatic threshold alternative manner includes:
S21. the number of pixels of each gray level of former frame filtering image is countedN i(i=1,2,3 ... L), wherein L represents highest gray scale
Grade；For first frame image, its pixel is arranged from small to large by gray level, threshold value T(i) take gray level median；
S22. according to the brightness of each pixel, image segmentation threshold is calculatedT(i):
；
S23. segmentation threshold is usedT(i) binary conversion treatment is carried out to next frame image:
,
WhereinFor next frame image single pixel gray value before binary conversion treatment,Under after binary conversion treatment
The corresponding single pixel gray value of one frame image；
S30. the image Jing Guo binary conversion treatment is detected, determines that mining adhesive tape whether there is risk according to testing result；
S40. according to potential risk as a result, determining whether mining adhesive tape tears.
2. the mining adhesive tape damage detecting method according to claim 1 based on dual-band infrared image, it is characterised in that:
Determine that mining adhesive tape includes: with the presence or absence of risk method in the step S30
S31. straight-line detection, the straight line quantity N that statistic mixed-state goes out are carried out to the image Jing Guo binary conversion treatment；
S32. judge mining adhesive tape with the presence or absence of potential risk, the straight line inspection according to the straight line quantity N in straight-line detection image
Survey method uses Hough algorithm process image,
。
3. the mining adhesive tape damage detecting method according to claim 1 based on dual-band infrared image, it is characterised in that:
Determine whether mining adhesive tape tears method and include: in the step S40
S41. on the basis of medium wave band infrared image, the maximum value and minimum value of pixel intensity in image are determined；
S42. the difference G of the maximum value of brightness in S41 and minimum value is compared with threshold value T, determines the state of mining adhesive tape,
。
4. the mining adhesive tape damage detecting method according to claim 1 based on dual-band infrared image, it is characterised in that:
The dual-band infrared detecting module (4) is mounted between adhesive tape (5) and lower adhesive tape (3), is fixed on by connecting bracket (1)
On the big frame of adhesive tape (2), dual-band infrared detecting module (4) acquires the image information of adhesive tape (5) lower surface.
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| CN111754466A (en) * | 2020-06-08 | 2020-10-09 | 西安电子科技大学 | Intelligent detection method for belt damage condition of conveyor |
| CN113724258A (en) * | 2021-11-02 | 2021-11-30 | 山东中都机器有限公司 | Conveyor belt tearing detection method and system based on image processing |
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| CN114433509A (en) * | 2022-04-11 | 2022-05-06 | 天津美腾科技股份有限公司 | Bauxite recognition method and device |
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Application publication date: 20190906 |