CN109492569A - A kind of cable line insulating layer defect detection method and device - Google Patents
A kind of cable line insulating layer defect detection method and device Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- 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
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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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
- G06T2207/30108—Industrial image inspection
- G06T2207/30164—Workpiece; Machine component
Abstract
The invention discloses a kind of cable line insulating layer defect detection method and devices, comprising the following steps: Image Acquisition: acquiring and obtains the picture of cable；Image preprocessing: image preprocessing is carried out to the picture of cable and is denoised；Cable defect detection: the image segmentation of background area and defect area is carried out to the cable Incomplete image after denoising, defect length calculating is carried out to the cable Incomplete image split, and then defect area is obtained, by defect area, to cable, whether defect is identified.This method checks independent of underdrain is manually entered, completely by image technique means come detection cable line insulating layer whether defect.If it find that cable line insulating layer defect, can give a warning, and screenshot retains evidence, and corresponding personnel can also rush towards corresponding position in time and handle.With this, the safety problem during even eliminating manual inspection can be greatly decreased and there is a situation where fire.
Description
Technical field
The invention belongs to image identification technical field, in particular to a kind of cable line insulating layer defect detection method and dress
It sets.
Background technique
Cable duct is power plant, substation, essential infrastructure in network distribution system, is mainly used to place electricity
Cable.It is power generation since the cable laid in cable duct is related to the equipment such as relay protection, automatic control, communication, measurement and metering
Factory, substation, distribution system and substation nerve center, once cable breaks down, not only inspection department's reason work difficulty it is big,
Time is long, it is also possible to so that relay protection or control loop is failed, cause the accident expansion even damage main equipment, for a long time cannot be extensive
Demutation produces.So reinforcing the management to cable duct, protection cable duct inner cable is injury-free, the safe operation to electric system
There is very important meaning.
The narrow space of usual power plant cable duct, rather dark, field personnel's inconvenience enters cable duct and carries out maintenance
Work.And cable line insulating layer defect is FAQs existing for cable duct in cable duct, these problems easily cause cable hair
Heat even fire causes huge property loss and possible threat to life；It causes to leak electricity, person electric shock casualty accident occurs；Cause
Have a power failure, maintenance, causes economic loss.Therefore, the generation for containing the accidents such as cable fire in advance, ensures the safe operation gesture of power grid
It must go.
Summary of the invention
The present invention proposes a kind of cable line insulating layer defect detection method and device, and this method is independent of being manually entered ground
Lower channel checks, completely by image technique means come detection cable line insulating layer whether defect.If it find that cable insulate
Break damage, can give a warning, and screenshot retains evidence, and corresponding personnel can also rush towards in time at corresponding position
Reason.With this, the safety problem during even eliminating manual inspection can be greatly decreased and there is a situation where fire.
In order to achieve the above objectives, technical scheme is as follows:
A kind of cable line insulating layer defect detection method, comprising the following steps:
Image Acquisition: acquiring and obtains the picture of cable；
Image preprocessing: image preprocessing is carried out to the picture of cable and is denoised；
Cable defect detection: the image point of background area and defect area is carried out to the cable Incomplete image after denoising
It cuts, defect length calculating is carried out to the cable defect area split, and then obtain defect area, pass through defect area pair
Whether defect is identified cable.
As a further improvement of the present invention, image preprocessing step specifically:
Airspace enhancement method is first converted using linear gradation to increase between cable Incomplete image background and defect area
Pixel value difference highlights defect area from background；
Image preprocessing is carried out, again with the cable Incomplete image after being denoised.
As a further improvement of the present invention, image segmentation step is specific as follows:
Cable Incomplete image is split using the method for Threshold segmentation, according to the ash for extracting defect area and background
The difference of degree divides the image into the different background area of gray level and defect area, directly highlights the defect information of cable,
To realize image segmentation.
As a further improvement of the present invention, Threshold segmentation calculates threshold value using maximum variance between clusters automatically, in cable
It is 60~80 that threshold range is obtained between the background gray scale and defect gray scale of line Incomplete image, by the part in threshold range
It is determined as defect, other parts is determined as background.
It as a further improvement of the present invention, further include dilation operation step and erosion operation step after image segmentation step
Suddenly,
Dilation operation step comprising: it will be merged into the defect area in the background dot that defect area contacts, make defect
The boundary in region is outwardly expanded, to obtain more complete image；
Erosion operation step, including defect area range is adjusted, by the boundary contraction of Incomplete image, to eliminate small and nothing
The object of meaning.
As a further improvement of the present invention, to cable, whether defect progress identification step is specifically included:
Defect skeleton is extracted to the cable Incomplete image split, is refined into single pixel Incomplete image, is refined
Line length afterwards is exactly the length of cable line insulating layer defect, seeks corresponding actual length between adjacent pixel respectively, so
Afterwards, the distance between all adjacent pixels are summed, as defect length；
The area of cable line insulating layer defect area by ask cable Incomplete image minimum circumscribed rectangle method come
It finds out, after the length and the width that acquire its minimum circumscribed rectangle, further according to the method for linear defect length calculated above, so that it may acquire
The corresponding length of true area and width, and then obtain defect area；
The insulating layer that will be greater than the cable of defect area threshold is determined as defect, conversely, the insulating layer of cable is
Not defect.
A kind of cable line insulating layer defect detection apparatus, comprising:
Image capture device for acquiring and obtaining the picture of cable, and forwards it to image procossing and identifies and set
It is standby；
Image procossing and identification equipment, including image pre-processing module and cable defect detection module；Wherein,
Image pre-processing module increases cable Incomplete image back for first converting airspace enhancement method using linear gradation
Pixel value difference between scape and defect area, highlights defect area from background；Image preprocessing is carried out, again to obtain
Cable Incomplete image after denoising；
Cable defect detection module, for by carrying out background area and defect to the cable Incomplete image after denoising
The image segmentation in region carries out defect length calculating to the cable Incomplete image split, and then obtains defect area, leads to
Crossing defect area, whether defect identifies to cable.
As a further improvement of the present invention, image segmentation is carried out in cable defect detection module to refer to:
Cable Incomplete image is split using the method for Threshold segmentation, according to the ash for extracting defect area and background
The difference of degree divides the image into the different background area of gray level and defect area, directly highlights the defect information of cable,
To realize image segmentation.
As a further improvement of the present invention, image procossing and identification equipment further include dilation operation module and erosion operation
Module,
Dilation operation module makes defective region for will be merged into the defect area in the background dot that defect area contacts
The boundary in domain is outwardly expanded, to obtain more complete image；
Erosion operation module, for adjusting defect area range, by the boundary contraction of Incomplete image, to eliminate small and nothing
The object of meaning.
As a further improvement of the present invention, in cable defect detection module, by defect area to cable whether
Defect carries out identification and refers to:
Defect skeleton is extracted to the cable Incomplete image split, is refined into single pixel Incomplete image, is refined
Line length afterwards is exactly the length of cable line insulating layer defect, seeks corresponding actual length between adjacent pixel respectively, so
Afterwards, the distance between all adjacent pixels are summed, as defect length；
The area of cable line insulating layer defect area by ask cable Incomplete image minimum circumscribed rectangle method come
It finds out, after the length and the width that acquire its minimum circumscribed rectangle, further according to the method for linear defect length calculated above, so that it may acquire
The corresponding length of true area and width, and then obtain defect area；
The insulating layer that will be greater than the cable of defect area threshold is determined as defect, conversely, the insulating layer of cable is
Not defect.
Compared with prior art, the invention has the following advantages that
Cable line insulating layer defect detection method of the present invention, is obtained by image, carries out long-range cable defect detection,
Checked independent of underdrain is manually entered, completely by image technique means come detection cable line insulating layer whether defect.
If it find that cable line insulating layer defect, can give a warning, and screenshot retains evidence, and corresponding personnel can also catch up in time
Corresponding position is gone to be handled.With this, the safety problem during even eliminating manual inspection and hair can be greatly decreased
The case where calamity of lighting a fire.The device of the invention by image capture device and image procossing and identification equipment carry out image acquisition and
The processing of image, device is simple, and by remotely controlling the management reinforced to cable duct, protection cable duct inner cable is injury-free,
Make safe operation of power system.
Detailed description of the invention
Fig. 1 is cable line insulating layer defect detection apparatus schematic diagram；
Fig. 2 image procossing and identification equipment constitute figure；
Fig. 3 is the flow chart of cable line insulating layer defect detection method；
The original image of Fig. 4 cable defect；
The gray level image of Fig. 5 cable defect；
Fig. 6 removes the cable line insulating layer Incomplete image after noise；
Cable line insulating layer Incomplete image after Fig. 7 expansion and erosion operation.
Specific embodiment
Embodiment of the present invention is described in detail below with reference to tool construction figure and embodiment.It is described in the present invention
In, it is to be understood that embodiment described in the invention be it is exemplary, design parameter appeared in description is in order to just
In the description present invention, and it is not considered as limiting the invention.
The present invention proposes a kind of cable line insulating layer defect detection method and device, and this method is if it find that cable insulate
Break damage, can give a warning, and screenshot retains evidence.By technological means, reinforce the management to cable duct, protects cable
Ditch inner cable is injury-free, makes safe operation of power system.Below in conjunction with specific embodiment, the invention will be further described:
As shown in Figure 1, cable line insulating layer defect detection apparatus of the invention includes image capture device and image procossing
And identification equipment.
Image capture device is responsible for the picture of real-time capture cable duct inner cable line, and forwards it to image procossing and knowledge
Other equipment.
Image procossing and identification equipment are responsible for being pre-processed (noise reduction, enhancing etc.) to the picture of cable, and carry out electricity
Cable whether the identification of defect.
As shown in Fig. 2, image procossing and identification equipment include image pre-processing module and cable defect detection module.Its
In,
Image pre-processing module increases cable Incomplete image back for first converting airspace enhancement method using linear gradation
Pixel value difference between scape and defect area, highlights defect area from background；Image preprocessing is carried out, again to obtain
Cable Incomplete image after denoising；
Cable defect detection module, for by carrying out background area and defect to the cable Incomplete image after denoising
The image segmentation in region carries out defect length calculating to the cable Incomplete image split, and then obtains defect area, leads to
Crossing defect area, whether defect identifies to cable.
Image segmentation is carried out in cable defect detection module to refer to:
Cable Incomplete image is split using the method for Threshold segmentation, according to the ash for extracting defect area and background
The difference of degree divides the image into the different background area of gray level and defect area, directly highlights the defect information of cable,
To realize image segmentation.
Image procossing and identification equipment further include dilation operation module and erosion operation module,
Dilation operation module makes defective region for will be merged into the defect area in the background dot that defect area contacts
The boundary in domain is outwardly expanded, to obtain more complete image；
Erosion operation module, for adjusting defect area range, by the boundary contraction of Incomplete image, to eliminate small and nothing
The object of meaning.
In cable defect detection module, by defect area to cable whether defect carry out identification refer to:
Defect skeleton is extracted to the cable Incomplete image split, is refined into single pixel Incomplete image, is refined
Line length afterwards is exactly the length of cable line insulating layer defect, seeks corresponding actual length between adjacent pixel respectively, so
Afterwards, the distance between all adjacent pixels are summed, as defect length；
The area of cable line insulating layer defect area by ask cable Incomplete image minimum circumscribed rectangle method come
It finds out, after the length and the width that acquire its minimum circumscribed rectangle, further according to the method for linear defect length calculated above, so that it may acquire
The corresponding length of true area and width, and then obtain defect area；
The insulating layer that will be greater than the cable of defect area threshold is determined as defect, conversely, the insulating layer of cable is
Not defect.
Shown in Fig. 3, cable line insulating layer defect detection method of the invention, comprising the following steps:
Image Acquisition: acquiring and obtains the picture of cable；
Image preprocessing: image preprocessing is carried out to the picture of cable and is denoised；The denoising method packet that can be used
Include linear gradation transformation airspace enhancement method, Gaussian smoothing, median filtering and the positive inverse transformation of Fourier.
Cable defect detection: the image point of background area and defect area is carried out to the cable Incomplete image after denoising
It cuts, defect length calculating is carried out to the cable Incomplete image split, and then obtain defect area, pass through defect area pair
Whether defect is identified cable.The algorithm that cable defect detection is related to includes: that cable defect detection Threshold segmentation is calculated
Method, dilation operation, erosion operation.
The specific detection method is as follows:
Image preprocessing first uses linear gradation transformation airspace enhancement method to increase cable Incomplete image background and defect
Pixel value difference between region keeps defect area more prominent from background.Fig. 4 is the original image of cable defect, Fig. 5 cable
The gray level image of line defect.It is pre- that image is carried out using technological means such as Gaussian smoothing, median filtering and the positive inverse transformations of Fourier again
Processing.It is final to obtain high quality, low noise, high-visible cable Incomplete image, so as to subsequent identification work preferably into
Row.
Cable defect detection module is mainly further analyzed and handles to Incomplete image.Using Threshold segmentation
Method cable Incomplete image is split, this method be according to the difference for the gray scale for extracting defect area and background,
Image is divided into the different background area of gray level and defect area, can directly highlight the defect information of cable, to reach
To the purpose of image segmentation.
Threshold value selection is the key that Threshold segmentation, and when carrying out Threshold segmentation, the size of threshold value is directly related to image point
The quality cut, therefore, it should select a suitable threshold value.The present invention calculates threshold value using maximum variance between clusters automatically, this
The effect that sample can be such that cable Incomplete image splits is more preferable.
Obtained between the background gray scale and defect gray scale of cable Incomplete image optimal threshold range be 60~80 it
Afterwards.Part in threshold range is determined as defect, other parts are determined as background, defect can be correctly partitioned into
Come, avoids erroneous judgement.
During the processing of cable Incomplete image, due to noise to be removed, it may sometimes make to split
The phenomenon that image is interrupted.At this moment adjacent objects can be connected by dilation operation, i.e., will be contacted in defect area
Background dot be merged into the defect area, expand the boundary of defect area outwardly, to obtain more complete image.Make
With the little particle noise that the certain cavities and elimination that just can be used to fill up in defect area include in defect area.Figure
Cable line insulating layer Incomplete image after 6 removal noises.
The dual operations of dilation operation are erosion operations, in the treatment process for carrying out cable Incomplete image, if wanted
Finally obtained image is asked to be consistent substantially with real image, it is just necessary after having carried out dilation operation to cable Incomplete image
Image is restored with erosion operation, i.e., defect area range " is become smaller ", essence is exactly by the boundary of Incomplete image
It shrinks, to eliminate small and meaningless object.Cable line insulating layer Incomplete image after Fig. 7 expansion and erosion operation.
Defect skeleton is extracted to the cable Incomplete image split, is refined into single pixel Incomplete image, is refined
Line length afterwards is exactly the length of cable line insulating layer defect, can seek corresponding true length between adjacent pixel respectively
Then degree sums the distance between all adjacent pixels, as defect length.
The area of cable line insulating layer defect area can be by asking the side of the minimum circumscribed rectangle of cable Incomplete image
Method is found out, acquire its minimum circumscribed rectangle length and it is wide after, further according to the method for linear defect length calculated above, so that it may
The corresponding length of true area and width are acquired, and then obtains defect area.Defect area is greater than to 1/30 times of figure in the present invention
The defect of cable area is determined as that cable line insulating layer is defect as in, conversely, the insulating layer of cable is not defect.
Embodiment
After handling one section of cable, obtaining its defect length is 8cm, and defect area is 24cm2, by comparing,
Defect area accounts about 1/15 of cable area in image, to judge that cable line insulating layer is defect；To in addition
After one section of cable processing, obtaining its defect length is 2cm, and defect area is 3cm2, by comparing, defect area accounts about
The 1/100 of cable area in image, to judge that cable line insulating layer is not defect.
The present invention by image technique means come cable line insulating layer in detection cable ditch whether defect, be no longer dependent on people
Work enters underdrain and checks, or occurs just finding when the accidents such as fire.If it find that cable line insulating layer defect, Ke Yifa
It alerts out, and screenshot retains evidence, handles so as to make corresponding personnel rush towards corresponding position in time.It, can with this
Be greatly decreased even eliminate manual inspection during safety problem and there is a situation where fire.Cable can be greatly improved
A possibility that integrality of ditch inner cable line, guarantee safe operation of power system.
Particular embodiments described above has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
It describes in detail bright, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in guarantor of the invention
Within the scope of shield.
Claims (10)
1. a kind of cable line insulating layer defect detection method, it is characterised in that: the following steps are included:
Image Acquisition: acquiring and obtains the picture of cable；
Image preprocessing: image preprocessing is carried out to the picture of cable and is denoised；
Cable defect detection: carrying out the image segmentation of background area and defect area to the cable Incomplete image after denoising,
Defect length calculating is carried out to the cable defect area split, and then obtains defect area, by defect area to electricity
Whether defect is identified cable.
2. cable line insulating layer defect detection method according to claim 1, it is characterised in that: image preprocessing step tool
Body are as follows:
Airspace enhancement method is first converted using linear gradation to increase the pixel between cable Incomplete image background and defect area
Difference highlights defect area from background；
Image preprocessing is carried out, again with the cable Incomplete image after being denoised.
3. cable line insulating layer defect detection method according to claim 1, it is characterised in that: image segmentation step is specific
It is as follows:
Cable Incomplete image is split using the method for Threshold segmentation, according to the gray scale for extracting defect area and background
Difference divides the image into the different background area of gray level and defect area, directly highlights the defect information of cable, thus
Realize image segmentation.
4. cable line insulating layer defect detection method according to claim 3, it is characterised in that:
Threshold segmentation calculates threshold value using maximum variance between clusters automatically, in background gray scale and the defect ash of cable Incomplete image
It is 60~80 that threshold range is obtained between degree, and the part in threshold range is determined as defect, other parts are determined as
Background.
5. cable line insulating layer defect detection method according to claim 1, it is characterised in that: after image segmentation step
It further include dilation operation step and erosion operation step,
Dilation operation step comprising: it will be merged into the defect area in the background dot that defect area contacts, make defect area
Boundary outwardly expand, to obtain more complete image；
Erosion operation step, including defect area range is adjusted, it is small and meaningless to eliminate by the boundary contraction of Incomplete image
Object.
6. cable line insulating layer defect detection method according to claim 1, it is characterised in that: to cable whether defect
Identification step is carried out to specifically include:
Defect skeleton is extracted to the cable Incomplete image split, single pixel Incomplete image is refined into, after refinement
Line length is exactly the length of cable line insulating layer defect, seeks corresponding actual length between adjacent pixel respectively, then,
The summation of the distance between all adjacent pixels, as defect length；
The area of cable line insulating layer defect area is found out by the method for seeking the minimum circumscribed rectangle of cable Incomplete image,
After the length and the width that acquire its minimum circumscribed rectangle, further according to the method for linear defect length calculated above, so that it may acquire true
The corresponding length of area and width, and then obtain defect area；
The insulating layer that will be greater than the cable of defect area threshold is determined as defect, conversely, the insulating layer of cable is not lack
Damage.
7. a kind of cable line insulating layer defect detection apparatus, it is characterised in that: include:
Image capture device for acquiring and obtaining the picture of cable, and forwards it to image procossing and identification equipment；
Image procossing and identification equipment, including image pre-processing module and cable defect detection module；Wherein,
Image pre-processing module, for first using linear gradation convert airspace enhancement method come increase cable Incomplete image background and
Pixel value difference between defect area, highlights defect area from background；Image preprocessing is carried out, again to be denoised
Cable Incomplete image afterwards；
Cable defect detection module, for by carrying out background area and defect area to the cable Incomplete image after denoising
Image segmentation, defect length calculating is carried out to the cable Incomplete image that splits, and then obtain defect area, by lacking
Damaging area, whether defect identifies to cable.
8. cable line insulating layer defect detection apparatus according to claim 7, it is characterised in that: cable defect detection mould
Image segmentation is carried out in block to refer to:
Cable Incomplete image is split using the method for Threshold segmentation, according to the gray scale for extracting defect area and background
Difference divides the image into the different background area of gray level and defect area, directly highlights the defect information of cable, thus
Realize image segmentation.
9. cable line insulating layer defect detection apparatus according to claim 7, it is characterised in that: image procossing and identification are set
Standby further includes dilation operation module and erosion operation module,
Dilation operation module makes defect area for will be merged into the defect area in the background dot that defect area contacts
Boundary is outwardly expanded, to obtain more complete image；
Erosion operation module is small and meaningless to eliminate by the boundary contraction of Incomplete image for adjusting defect area range
Object.
10. cable line insulating layer defect detection apparatus according to claim 7, it is characterised in that: cable defect detection
In module, by defect area to cable whether defect carry out identification refer to:
Defect skeleton is extracted to the cable Incomplete image split, single pixel Incomplete image is refined into, after refinement
Line length is exactly the length of cable line insulating layer defect, seeks corresponding actual length between adjacent pixel respectively, then,
The summation of the distance between all adjacent pixels, as defect length；
The area of cable line insulating layer defect area is found out by the method for seeking the minimum circumscribed rectangle of cable Incomplete image,
After the length and the width that acquire its minimum circumscribed rectangle, further according to the method for linear defect length calculated above, so that it may acquire true
The corresponding length of area and width, and then obtain defect area；
The insulating layer that will be greater than the cable of defect area threshold is determined as defect, conversely, the insulating layer of cable is not lack
Damage.
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| CN111964549A (en) * | 2020-07-08 | 2020-11-20 | 航天科工防御技术研究试验中心 | Detection method for judging defect of large-volume monolithic capacitor |
| CN111964549B (en) * | 2020-07-08 | 2022-06-17 | 航天科工防御技术研究试验中心 | Detection method for judging defect of large-volume monolithic capacitor |
| CN112069974A (en) * | 2020-09-02 | 2020-12-11 | 安徽铜峰电子股份有限公司 | Image recognition method and system for recognizing defects of components |
| CN112069974B (en) * | 2020-09-02 | 2023-04-18 | 安徽铜峰电子股份有限公司 | Image recognition method and system for recognizing defects of components |
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