CN110009636A - A kind of varifocal vision detection system of the vcehicular tunnel of integrated form - Google Patents
A kind of varifocal vision detection system of the vcehicular tunnel of integrated form Download PDFInfo
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- CN110009636A CN110009636A CN201910394403.1A CN201910394403A CN110009636A CN 110009636 A CN110009636 A CN 110009636A CN 201910394403 A CN201910394403 A CN 201910394403A CN 110009636 A CN110009636 A CN 110009636A
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- zoom
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- vcehicular tunnel
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- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B7/00—Mountings, adjusting means, or light-tight connections, for optical elements
- G02B7/28—Systems for automatic generation of focusing signals
- G02B7/36—Systems for automatic generation of focusing signals using image sharpness techniques, e.g. image processing techniques for generating autofocus signals
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B13/00—Viewfinders; Focusing aids for cameras; Means for focusing for cameras; Autofocus systems for cameras
- G03B13/32—Means for focusing
- G03B13/34—Power focusing
- G03B13/36—Autofocus systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Optics & Photonics (AREA)
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
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Abstract
The present invention relates to a kind of varifocal vision detection systems of the vcehicular tunnel of integrated form, belong to tunnel defect detection technique field, including Zoom control system, image capturing system, communication module, lens control unit, optically-variable zoom lens, optically-variable zoom lens are used to acquire the image of vcehicular tunnel, the image of vcehicular tunnel is transferred to image capturing system by communication module, image capturing system will receive in the vcehicular tunnel image transmitting Zoom control system to come, Zoom control system detects the image that image capturing system passes over, zoom signal is issued according to the testing result of the contrast of image and clarity, zoom signal is transferred to lens control unit by communication module by Zoom control system.The present invention can solve the problems, such as that picture contrast is low, the imaging is not clear in tunnel image-detection process by zoom system, pancreatic system, and be able to carry out after sentencing in detail using zoom system, pancreatic system and slightly sentenced, and improve the precision of disease automatic identification.
Description
Technical field
The invention belongs to tunnel defect detection technique fields, are related to a kind of varifocal vision-based detection of vcehicular tunnel of integrated form
System.
Background technique
Tunnel needs crusing robot movement to be detected during being detected, however current inspection machine
Detector lens on people do not have Zoom effect, if detector lens are excessive, are easy to cause the routing inspection efficiency for reducing robot, if
Detector lens are too small, are easy to cause detection picture unintelligible, influence the precision of disease automatic identification, the accurate journey of crack judgement
Degree.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of varifocal vision detection systems of the vcehicular tunnel of integrated form.
In order to achieve the above objectives, the invention provides the following technical scheme:
The present invention provides a kind of varifocal vision detection system of the vcehicular tunnel of integrated form, including Zoom control system,
Image capturing system, communication module, lens control unit, optically-variable zoom lens, the optically-variable zoom lens are used to acquire
The image of the image of vcehicular tunnel, the vcehicular tunnel is transferred to image capturing system, described image acquisition by communication module
System will receive in the vcehicular tunnel image transmitting Zoom control system to come, and the Zoom control system is to image capturing system
The image passed over is detected, and issues zoom signal, the change according to the testing result of the contrast of image and clarity
Zoom signal is transferred to lens control unit by communication module by burnt control system, and the lens control unit is according to receiving
Zoom signal control optically-variable zoom lens carry out autozoom.
As a preferred technical solution of the present invention, the lens control unit includes programmable logic device and stepping
Motor, the programmable logic device is according to zoom signal driving stepper motor is received, and the stepper motor is in programmable control
Optically-variable zoom lens are driven to carry out autozoom under the control of device processed.
As a preferred technical solution of the present invention, what the Zoom control system passed over image capturing system
Image is split, and respectively obtains target area and background area, calculates the elemental area S of target areao, and and standard pixel
Area threshold SthIt is compared, if So> Sth, then send wide-angle instruction, object pixel area will be reduced in market, it is on the contrary then
Focal length instruction is sent, object pixel area will increase in visual field.
It is described when being split image as a preferred technical solution of the present invention, it needs to image pixel area
It is retrieved, formula are as follows:
Wherein, s is local optimum threshold value, and δ is minor change, and f (x, y), g (x, y) indicate pixel coordinate point.
When the gray level of pixel and its field gray average are both less than s- δ, then the pixel belongs to target area Ro,
It is on the contrary then belong to background area Rb。
As a preferred technical solution of the present invention, the elemental area SoCalculation expression are as follows: So=∑ (T (x,
Y)=L-1), the SoWith threshold value SthAfter being compared, it is converted into zoom step number and zooming direction, to drive stepper motor pair
Adjustable zoom lens carry out autozoom.
The beneficial effects of the present invention are:
The present invention can solve that picture contrast is low, the imaging is not clear in tunnel image-detection process by zoom system, pancreatic system
The problem of, and be able to carry out after sentencing in detail using zoom system, pancreatic system and slightly sentenced, the precision of disease automatic identification is improved, can be increased
The accuracy of judgement degree of the diseases such as crack.
Other advantages, target and feature of the invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.Target of the invention and other advantages can be realized by following specification and
It obtains.
Detailed description of the invention
To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention is made below in conjunction with attached drawing excellent
The detailed description of choosing, in which:
Fig. 1 is overall structure diagram of the invention.
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.It should be noted that diagram provided in following embodiment is only to show
Meaning mode illustrates basic conception of the invention, and in the absence of conflict, the feature in following embodiment and embodiment can phase
Mutually combination.
Wherein, the drawings are for illustrative purposes only and are merely schematic diagrams, rather than pictorial diagram, should not be understood as to this
The limitation of invention；Embodiment in order to better illustrate the present invention, the certain components of attached drawing have omission, zoom in or out, not
Represent the size of actual product；It will be understood by those skilled in the art that certain known features and its explanation may be omitted and be in attached drawing
It is understood that.
Referring to Fig. 1, for a kind of varifocal vision detection system of vcehicular tunnel of integrated form, including Zoom control system,
Image capturing system, communication module, lens control unit, optically-variable zoom lens, the optically-variable zoom lens are used to acquire
The image of the image of vcehicular tunnel, the vcehicular tunnel is transferred to image capturing system, described image acquisition by communication module
System will receive in the vcehicular tunnel image transmitting Zoom control system to come, and the Zoom control system is to image capturing system
The image passed over is detected, and issues zoom signal, the change according to the testing result of the contrast of image and clarity
Zoom signal is transferred to lens control unit by communication module by burnt control system, and the lens control unit is according to receiving
Zoom signal control optically-variable zoom lens carry out autozoom.
Zoom control system:
For the problems such as image detection image contrast is low, the imaging is not clear under the large complicated scene in tunnel, propose to be based on
The automatic focusing algorithm of scale invariability is divided autozoom using two dimension OTSU is improved, and is gathered automatically using two dimensional image entropy
Coke calculates object pixel area and clarity evaluation of estimate, and being converted into can be after focusing/zooming step number and focusing step number by FPGA transmission
Automatic focusing movement is completed in instruction instruction.It is specifically described as follows:
After Tunnel testing system obtains the area image containing target, improved two dimension OTSU algorithm to area image into
Row segmentation, respectively obtains target area and background area, calculates the elemental area S of target areao, and with standard pixel area threshold
Value SthIt is compared, if So> Sth, FPGA will send wide-angle (W) instruction, and object pixel area will be reduced in market, on the contrary
FPGA sends focal length (T) instruction, and object pixel area will increase in visual field.
Using following equation detection pixel region, s is local optimum threshold value, and δ is minor change:
When the gray level of pixel and its field gray average are both less than s- δ, then the pixel belongs to target area Ro,
It is on the contrary then belong to background area Rb。
After being based on follow-on two dimension OTSU algorithm to being split containing mesh target area, picture where target is obtained
Plain region, utilizes So=∑ (T (x, y)=L-1) seeks object pixel area.SoWith threshold value SthAfter being compared,
It is converted into zoom step number and zooming direction, so that stepper motor be driven to carry out autozoom to adjustable zoom lens.
The calculating of joint probability density has been done to the grey scale pixel value of image and its neighborhood gray average in zoom algorithm,
Introducing joint probability density can reflect the two-dimensional image information entropy evaluation function of intensity profile spatial character, evaluation goal region
Clarity and after obtaining focusing step-length, FPGA is sent to by PCI-e agreement, adjustable zoom lens is driven to complete focus operation,
And finally enhance the clarity of target.
For the crack disease of lining cutting, using the method slightly sentenced plus sentenced in detail, first with the zoom lens of camera, with three times
Acquired field range when sentencing in detail, obtains the image of tunnel-liner, has discovered whether to meet by image procossing measurement and be somebody's turn to do
The fracture length of table and the Lining Crack disease of width.By slightly sentencing it can be found that being worth the position of the defect information of detection, disease
Set, the type of disease judgement etc..
Sentence in detail, is after slightly sentencing, under conditions of clear Damage Types, information, position, control zoom lens amplifies
Focal length obtains disease minimum field range to maximum value.The more fine and higher lining cutting image of resolution ratio is obtained with this.Into
And finer and accurately measurement is carried out to disease.
By slightly sentencing, 1) due to increasing shooting visual field, improve the efficiency of robot inspection；2) reduce the number of storage
According to amount, transmission and treatment effeciency are improved；3) precision of disease automatic identification is improved.Due to tying when carrying out disease recognition
The shape informations such as the length of large scale have been closed, the accuracy of judgement degree of the diseases such as crack can be increased.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Scope of the claims in.
Claims (5)
1. a kind of varifocal vision detection system of the vcehicular tunnel of integrated form, it is characterised in that: including Zoom control system, image
Acquisition system, communication module, lens control unit, optically-variable zoom lens, the optically-variable zoom lens are used to acquire highway
The image of the image in tunnel, the vcehicular tunnel is transferred to image capturing system, described image acquisition system by communication module
It will receive in the vcehicular tunnel image transmitting Zoom control system to come, the Zoom control system transmits image capturing system
The image to come over is detected, and issues zoom signal, the zoom control according to the testing result of the contrast of image and clarity
Zoom signal is transferred to lens control unit by communication module by system processed, and the lens control unit is according to the change received
Burnt signal control optically-variable zoom lens carry out autozoom.
2. a kind of varifocal vision detection system of vcehicular tunnel of integrated form according to claim 1, it is characterised in that: institute
Stating lens control unit includes programmable logic device and stepper motor, and the programmable logic device is believed according to zoom is received
Number driving stepper motor, it is automatic that the stepper motor drives optically-variable zoom lens to carry out under the control of programmable logic device
Zoom.
3. a kind of varifocal vision detection system of vcehicular tunnel of integrated form according to claim 1, it is characterised in that: institute
It states Zoom control system to be split the image that image capturing system passes over, respectively obtains target area and background area
Domain calculates the elemental area S of target areao, and with standard pixel area threshold SthIt is compared, if So> Sth, then send
On the contrary wide-angle instruction, object pixel area will be reduced in market, then send focal length instruction, and object pixel area will increasing in visual field
Greatly.
4. a kind of varifocal vision detection system of vcehicular tunnel of integrated form according to claim 3, it is characterised in that: institute
It states when being split image, needs to retrieve image pixel area, formula are as follows:
Wherein, s is local optimum threshold value, and δ is minor change, and f (x, y), g (x, y) indicate pixel coordinate point.
When the gray level of pixel and its field gray average are both less than s- δ, then the pixel belongs to target area Ro, on the contrary
Then belong to background area Rb。
5. a kind of varifocal vision detection system of vcehicular tunnel of integrated form according to claim 4, it is characterised in that: institute
State elemental area SoCalculation expression are as follows: So=∑ (T (x, y)=L-1), the SoWith threshold value SthAfter being compared, it is converted into
Zoom step number and zooming direction, so that stepper motor be driven to carry out autozoom to adjustable zoom lens.
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| CN201910394403.1A CN110009636A (en) | 2019-05-13 | 2019-05-13 | A kind of varifocal vision detection system of the vcehicular tunnel of integrated form |
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| CN201910394403.1A CN110009636A (en) | 2019-05-13 | 2019-05-13 | A kind of varifocal vision detection system of the vcehicular tunnel of integrated form |
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Cited By (1)
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| CN111459680A (en) * | 2020-04-07 | 2020-07-28 | 周文明 | Data acquisition processing system and method |
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