CN106485701A - Based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image - Google Patents

Based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image Download PDF

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CN106485701A
CN106485701A CN201610848561.6A CN201610848561A CN106485701A CN 106485701 A CN106485701 A CN 106485701A CN 201610848561 A CN201610848561 A CN 201610848561A CN 106485701 A CN106485701 A CN 106485701A
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image
crotch
detection
messenger wire
wire base
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CN106485701B (en
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王翠娟
刘军
陈奇志
王倩
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CHENGDU JIAODA GUANGMANG TECHNOLOGY Co Ltd
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CHENGDU JIAODA GUANGMANG TECHNOLOGY Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/40Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4084Scaling of whole images or parts thereof, e.g. expanding or contracting in the transform domain, e.g. fast Fourier transform [FFT] domain scaling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/60Rotation of whole images or parts thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20016Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20068Projection on vertical or horizontal image axis

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

The invention discloses based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image, methods described step is as follows:Step one:Input Messenger Wire base original image, is fabricated to matching template after denoising;Step 2:Shoot Messenger Wire base detection image;Step 3:The Messenger Wire base detection image shooting is selected, mates with matching template contrast after denoising, realize the coarse localization of detection image;Step 4:To the detection image that in the 3rd step, the match is successful, first carry out rotation scaling and process, then carry out the normalized of Messenger Wire base, after the completion of process, cutting obtains Messenger Wire base crotch image;Step 5:Detection crotch direction;Step 6:Detect the lateral conductor direction being connected with crotch;Step 7:According to crotch direction and lateral conductor direction, judge that whether anti-loaded Messenger Wire base is.The present invention is safe and reliable, and human cost is few, and detection speed is fast, and detection efficiency is high, and operating cost is low, and night work does not have tired drowsiness phenomenon.

Description

Based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image
Technical field
The present invention relates to railway contact line detection field, the railway overhead contact system catenary seat specifically referring to based on image is anti-loaded Whether detection method.
Background technology
At present, the detection of high ferro contact net is checked mainly by scotophase's pole-climbing operation.This method not only for Operating personnel has higher requirement, and not safe and reliable, checks that speed is slow, efficiency is low.And Messenger Wire base is to relate on contact net And long-term safety can realize the critical piece of its respective action to contact net, its whether anti-loaded for Messenger Wire base with lateral conductor Whether stress equalization, and in stress, whether lateral conductor easily comes off is sufficiently reflected.If Messenger Wire base is anti-loaded, When the factor impact such as being given a shock, lateral conductor easily landing from crotch, causes very big to the operation of High Speed Railway Trains Potential safety hazard.At present in addition to manual inspection, also there is not correlation technique that the detection of Messenger Wire base is carried out with disclosure.
Content of the invention
The invention provides based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image, the method safety Reliable, human cost is few, and detection speed is fast, and detection efficiency is high, and operating cost is low, and night work does not have tired drowsiness phenomenon.
The present invention is achieved through the following technical solutions:
Based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image, methods described step is as follows:
Step one:Input Messenger Wire base original image, is fabricated to matching template after denoising;
Step 2:Shoot Messenger Wire base detection image;
Step 3:The Messenger Wire base detection image shooting is selected, mates with matching template contrast after denoising, realize The coarse localization of detection image;
Step 4:To the detection image that in the 3rd step, the match is successful, first carry out rotating scaling process, then carry out Messenger Wire base Normalized, after the completion of process, cutting obtains Messenger Wire base crotch image;
Step 5:Detection crotch direction;
Step 6:Detect the lateral conductor direction being connected with crotch;
Step 7:According to crotch direction and lateral conductor direction, judge that whether anti-loaded Messenger Wire base is.
The present invention is safe and reliable, and human cost is few, and detection speed is fast, and detection efficiency is high, and operating cost is low, and night work is not Have tired drowsiness phenomenon.
Further, in described step 5, the concrete detection mode in crotch direction is:Crotch image is carried out gray scale vertical Projection, obtains the gray value of this image vertical direction, if the vertical gray-level projection superposition value on the left of crotch picture centre is more than the right side The vertical gray-level projection superposition value of side, then explanation crotch opening direction is on right side;If vertical on the left of contrary crotch picture centre Gray Projection superposition value is less than the vertical gray-level projection superposition value on right side, then explanation crotch opening direction is in left side.
Further, in described step 6, the concrete detection mode in crotch direction is:By the Line segment detection based on Gauss Method, detects the edge of above-mentioned Messenger Wire base place crotch image, extracts straight-line segment the longest, and calculates the slope of this line segment Direction, i.e. the incline direction of lateral conductor.
Further, in described step 7, if crotch direction is identical with lateral conductor direction, Messenger Wire base is anti-loaded, if curved Hook direction is different from lateral conductor direction, then Messenger Wire base is not anti-loaded.
Further, in described step 3, the feature that coupling is chosen is the rotation ears of Messenger Wire base, can obtain after coupling To anglec of rotation ModelAngle of this detection image, zoom factor ModelScale, coupling fraction ModelScore and rotation The center ranks coordinate of ears, when coupling fraction ModelScore is more than the coupling fraction threshold values thresholdScore setting When, represent that the match is successful and realizes coarse positioning, on the contrary unsuccessful.Mating concrete mode is:
Off-line phase:Choose the shooting quality preferably image containing Messenger Wire base, select rotation ears region, use Canny filter process two image, and calculate the direction vector of region inner margin point;Meanwhile, calculate in an identical manner The direction vector of the ears region inner margin point of matching template.
On-line stage:Using image pyramid hierarchical search strategy.Enter in image pyramid top traversal search first Row similarity measurements are flux matched, if To Template pixel is pi=(ri,ci)T, corresponding direction vector is di=(ti,ui)T, i= 1,2 ..., n, direction vector is calculated after being filtered by Canny, and search image also calculates each using after Canny filtering The direction vector e of point (r, c)r,c=(vr,c,wr,c)T, template is carried out affine transformation, and the translating sections of affine change is divided From the template point after conversion is p 'i=Api, corresponding direction vector is d 'i=Adi, A is second order standard spin matrix.Searching Rope image certain specified point q=(r, c)TPlace, template is mated with search image, calculate convert in rear pattern plate returning a little The summation of one dot product of normalization direction vector changing direction vector and search image corresponding position, and in this, as coupling score value, I.e. in the similarity measure of q point, the computing formula of similarity measure is the template after conversion:
And return potential match point center ranks coordinate, coupling score value ModelScore and running parameter ModelScale, ModelAngle.
It is characterized in that, described coupling score threshold ThresholdScore=smin=0.5.
Described support positioner image is carried out by the way of transformation matrix by space field transformation according to template image;Institute Stating transformation matrix HomMat2DGlobal is:
HomMat2DGlobal=HomMat2DScale*HomMat2DRotat
Wherein, HomMat2DScale represents scale transformation matrix, and HomMat2DRotate represents rotational transformation matrix;
Described translation transformation matrix calculation is:
Described scale transformation matrix H omMat2DScale is:
Wherein, ModelScale represents the zoom factor supporting positioner image with respect to template image;
Described rotational transformation matrix HomMat2DRotate is:
Wherein, when phi represents image normalization to be matched, support the anglec of rotation that positioner image is with respect to template image Degree, i.e. phi=ModelAngle.
Further, the cutting in described step 4 includes two steps, first cuts out fixed ruler using fixing rectangular area Very little Messenger Wire base image, after being specifically normalized detection image, centered on the ranks coordinate of center, left and right is each Extend 160 pixels, extend 400 pixels up and down, obtain the Messenger Wire base image that size is 320*800;Further according to coordinate points Carry out the cutting of Messenger Wire base image, obtain crotch image, after being specifically normalized Messenger Wire base image, along a left side Upper coordinate points are (82,469), and lower right coordinate point carries out cutting for (219,587).
Further, in described step 3, after the Messenger Wire base detection image shooting is selected, this image is carried out Enhancement process, enhancement method is linear transformation.It is implemented as:
G '=g × Mult+Add
Mult=255/ (GMax-GMin)
Add=Mult × GMin
Wherein, g is the gray value of pixel in image before enhancement process, and g ' is result images gray value after enhancement process; Mult is linear transform coefficient, and Add is linear transformation increment, GMax and GMin represents the maximum in image before enhancement process respectively Gray value and minimum gradation value.
Further, the detection image in described step 2 adopts noncontact camera imaging.Can by camera be contained in for Shot on the train of detection, it would however also be possible to employ additive method is shot, with imaging clearly, shooting speed is fast, saves into This is selected for standard.
The present invention compared with prior art, have the advantage that for:
(1) present invention is safe and reliable, and human cost is few, and detection speed is fast, and detection efficiency is high, and operating cost is low, and night is made Industry does not have tired drowsiness phenomenon.
(2) image processing process of the present invention can use computer disposal, and intelligence degree is high.
Specific embodiment
With reference to embodiment, the present invention is described in further detail, but embodiments of the present invention not limited to this.
Embodiment 1:
Based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image it is characterised in that:Methods described walks Suddenly as follows:
Step one:Input Messenger Wire base original image, is fabricated to matching template after denoising;
Step 2:Shoot Messenger Wire base detection image;
Step 3:The Messenger Wire base detection image shooting is selected, mates with matching template contrast after denoising, realize The coarse localization of detection image;
Step 4:To the detection image that in the 3rd step, the match is successful, first carry out rotating scaling process, then carry out Messenger Wire base Normalized, after the completion of process, cutting obtains Messenger Wire base crotch image;
Step 5:Detection crotch direction;
Step 6:Detect the lateral conductor direction being connected with crotch;
Step 7:According to crotch direction and lateral conductor direction, judge that whether anti-loaded Messenger Wire base is.
The present invention is safe and reliable, and human cost is few, and detection speed is fast, and detection efficiency is high, and operating cost is low, and night work is not Have tired drowsiness phenomenon.
Embodiment 2:
The present embodiment is further improved on the basis of embodiment 1, the concrete detection in crotch direction in described step 5 Mode is:Crotch image is carried out gray scale vertical projection, obtains the gray value of this image vertical direction, if crotch picture centre is left The superposition value of the vertical gray-level projection of side is more than the projection superposition value of the vertical gray scale on right side, then explanation crotch opening direction is on the right side Side;If the vertical gray-level projection superposition value on the left of contrary crotch picture centre is less than the vertical gray-level projection superposition value on right side, Illustrate crotch opening direction in left side.
In described step 6, the concrete detection mode in crotch direction is:By the line segment detecting method based on Gauss, detect The edge of above-mentioned Messenger Wire base place crotch image, extraction straight-line segment the longest, and calculate the slope direction of this line segment, that is, tiltedly The incline direction of bracing wire.
In described step 7, if crotch direction is identical with lateral conductor direction, Messenger Wire base is anti-loaded, if crotch direction with tiltedly Stayguy direction is different, then Messenger Wire base is not anti-loaded.
In described step 3, the feature that coupling is chosen is the rotation ears of Messenger Wire base, can obtain this detection after coupling In anglec of rotation ModelAngle of image, zoom factor ModelScale, coupling fraction ModelScore and rotation ears Heart ranks coordinate, when mating the coupling fraction threshold values thresholdScore that fraction ModelScore is more than setting, expression It is made into work(and realize coarse positioning, on the contrary unsuccessful.Mating concrete mode is:
Off-line phase:Choose the shooting quality preferably image containing Messenger Wire base, select rotation ears region, use Canny filter process two image, and calculate the direction vector of region inner margin point;Meanwhile, calculate in an identical manner The direction vector of the ears region inner margin point of matching template.
On-line stage:Using image pyramid hierarchical search strategy.Enter in image pyramid top traversal search first Row similarity measurements are flux matched, if To Template pixel is pi=(ri,ci)T, corresponding direction vector is di=(ti,ui)T, i= 1,2 ..., n, direction vector is calculated after being filtered by Canny, and search image also calculates each using after Canny filtering The direction vector e of point (r, c)r,c=(vr,c,wr,c)T, template is carried out affine transformation, and the translating sections of affine change is divided From the template point after conversion is p 'i=Api, corresponding direction vector is d 'i=Adi, A is second order standard spin matrix.Searching Rope image certain specified point q=(r, c)TPlace, template is mated with search image, calculate convert in rear pattern plate returning a little The summation of one dot product of normalization direction vector changing direction vector and search image corresponding position, and in this, as coupling score value, I.e. in the similarity measure of q point, the computing formula of similarity measure is the template after conversion:
And return potential match point center ranks coordinate, coupling score value ModelScore and running parameter ModelScale, ModelAngle.
It is characterized in that, described coupling score threshold ThresholdScore=smin=0.5.
Described support positioner image is carried out by the way of transformation matrix by space field transformation according to template image;Institute Stating transformation matrix HomMat2DGlobal is:
HomMat2DGlobal=HomMat2DScale*HomMat2DRotat
Wherein, HomMat2DScale represents scale transformation matrix, and HomMat2DRotate represents rotational transformation matrix;
Described translation transformation matrix calculation is:
Described scale transformation matrix H omMat2DScale is:
Wherein, ModelScale represents the zoom factor supporting positioner image with respect to template image;
Described rotational transformation matrix HomMat2DRotate is:
Wherein, when phi represents image normalization to be matched, support the anglec of rotation that positioner image is with respect to template image Degree, i.e. phi=ModelAngle.
Cutting in described step 4 includes two steps, first cuts out the carrier cable of fixed dimension using fixing rectangular area Seat image, after being specifically normalized detection image, centered on the ranks coordinate of center, left and right respectively extends 160 Pixel, extends 400 pixels up and down, obtains the Messenger Wire base image that size is 320*800;Carry out carrier cable further according to coordinate points The cutting of seat image, obtains crotch image, after being specifically normalized Messenger Wire base image, along top-left coordinates point is (82,469), lower right coordinate point carries out cutting for (219,587).
In described step 3, after the Messenger Wire base detection image shooting is selected, enhancement process is carried out to this image, Enhancement method is linear transformation.It is implemented as:
G '=g × Mult+Add
Mult=255/ (GMax-GMin)
Add=Mult × GMin
Wherein, g is the gray value of pixel in image before enhancement process, and g ' is result images gray value after enhancement process; Mult is linear transform coefficient, and Add is linear transformation increment, GMax and GMin represents the maximum in image before enhancement process respectively Gray value and minimum gradation value.
Detection image in described step 2 adopts noncontact camera imaging.Camera can be contained in the train for detection On shot, it would however also be possible to employ additive method is shot, and with imaging clearly, shooting speed is fast, cost-effective enters for standard Row selects.
The other parts of the present embodiment are same as Example 1, repeat no more.
The above, be only presently preferred embodiments of the present invention, and not the present invention is done with any pro forma restriction, every according to Any simple modification above example made according to the technical spirit of the present invention, equivalent variations, each fall within the protection of the present invention Within the scope of.

Claims (8)

1. based on the whether anti-loaded detection method of the railway overhead contact system catenary seat of image it is characterised in that:Methods described step As follows:
Step one:Input Messenger Wire base original image, is fabricated to matching template after denoising;
Step 2:Shoot Messenger Wire base detection image;
Step 3:The Messenger Wire base detection image shooting is selected, mates with matching template contrast after denoising, realize detection The coarse localization of image;
Step 4:To the detection image that in the 3rd step, the match is successful, first carry out rotating scaling process, then carry out returning of Messenger Wire base One change is processed, and after the completion of process, cutting obtains Messenger Wire base crotch image;
Step 5:Detection crotch direction;
Step 6:Detect the lateral conductor direction being connected with crotch;
Step 7:According to crotch direction and lateral conductor direction, judge that whether anti-loaded Messenger Wire base is.
2. the detection method whether anti-loaded based on the railway overhead contact system catenary seat of image according to claim 1, it is special Levy and be:In described step 5, the concrete detection mode in crotch direction is:Crotch image is carried out gray scale vertical projection, is somebody's turn to do The gray value of image vertical direction, if the vertical gray-level projection superposition value on the left of crotch picture centre is more than the vertical gray scale on right side Projection superposition value, then explanation crotch opening direction is on right side;If the vertical gray-level projection superposition on the left of contrary crotch picture centre Less than the vertical gray-level projection superposition value on right side, then explanation crotch opening direction is in left side for value.
3. the detection method whether anti-loaded based on the railway overhead contact system catenary seat of image according to claim 1 and 2, its It is characterised by:In described step 6, the concrete detection mode in crotch direction is:By the line segment detecting method based on Gauss, detect The edge of above-mentioned Messenger Wire base place crotch image, extraction straight-line segment the longest, and calculate the slope direction of this line segment, that is, tiltedly The incline direction of bracing wire.
4. the detection method whether anti-loaded based on the railway overhead contact system catenary seat of image according to claim 3, it is special Levy and be:In described step 7, if crotch direction is identical with lateral conductor direction, Messenger Wire base is anti-loaded, if crotch direction with tiltedly Stayguy direction is different, then Messenger Wire base is not anti-loaded.
5. the detection method whether anti-loaded based on the railway overhead contact system catenary seat of image according to claim 1, it is special Levy and be:In described step 3, the feature that coupling is chosen is the rotation ears of Messenger Wire base, can obtain this detection figure after coupling The center of anglec of rotation ModelAngle of picture, zoom factor ModelScale, coupling fraction ModelScore and rotation ears Ranks coordinate, when mating the coupling fraction threshold values thresholdScore that fraction ModelScore is more than setting, represents coupling Success simultaneously realizes coarse positioning, otherwise unsuccessful.
6. according to claim 1 or 5 based on the detection method that whether anti-loaded the railway overhead contact system catenary seat of image is, its It is characterised by:Cutting in described step 4 includes two steps, first cuts out the load of fixed dimension using fixing rectangular area Rope seat image, carries out the cutting of Messenger Wire base image further according to coordinate points, obtains crotch image.
7. the detection method whether anti-loaded based on the railway overhead contact system catenary seat of image according to claim 1, it is special Levy and be:In described step 3, after the Messenger Wire base detection image shooting is selected, enhancement process is carried out to this image, Enhancement method is linear transformation.
8. the detection method whether anti-loaded based on the railway overhead contact system catenary seat of image according to claim 1, it is special Levy and be:Detection image in described step 2 adopts noncontact camera imaging.
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