CN110533627A - Method for detecting nettle fracture - Google Patents
Method for detecting nettle fracture Download PDFInfo
- Publication number
- CN110533627A CN110533627A CN201910611969.5A CN201910611969A CN110533627A CN 110533627 A CN110533627 A CN 110533627A CN 201910611969 A CN201910611969 A CN 201910611969A CN 110533627 A CN110533627 A CN 110533627A
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- Prior art keywords
- line segment
- nettle
- topological network
- target object
- path
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
-
- 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
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
-
- 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
- G06T2207/30236—Traffic on road, railway or crossing
Abstract
The invention discloses a kind of methods for detecting nettle fracture, which comprises target object included in input picture is extracted based on recognizer;According to the target object extracted, the tie point of line segment and line segment end is divided into;Topological network is formed according to the connection relationship between all tie points;According to the topological network, feasible path all in topological network is determined;According to the feasible path, it is determined whether there is path that is feasible but not actually existing.Method and apparatus provided by the present application for detecting the fracture of railway freight-car nettle, nettle skeleton in input picture is shifted to an earlier date using LSD algorithm, it determines whether to not actually exist according to topology network architecture but feasible path, to judge whether there is the nettle of fracture, calculation amount is smaller, it can be fast and accurately identified in image there are the position of nettle fracture, promote the efficiency and precision of detected target object.
Description
Technical field
The present invention relates to the technical fields of rail traffic, Image Processing and Pattern Recognition, specifically a kind of for detecting
The method of railway freight-car nettle fracture.
Background technique
Truck tarpaulin is required to need to be reinforced with nettle in rail traffic safety standard, if nettle is broken, there are paulins
The risk that cloth hikes up is reminded and is warned if nettle fracture so needing to detect nettle with the presence or absence of fracture
Report.Nettle on railway freight-car is all to knot in lower car body fixed point, and cover to entire car body.At present to nettle fracture
Detection method, typically by manually carrying out naked eyes judgement.Cargo train length is long, and artificial detection is very time-consuming, in addition, net
A large amount of duplicate quadrangle grid are formed when rope expansion, naked eyes identify that difficulty is high, are difficult really to find the position of fracture in time.
Summary of the invention
The application's is designed to provide a kind of method for detecting nettle fracture, to solve background section above
The technical issues of mentioning.
In a first aspect, this application provides a kind of methods for detecting nettle fracture, which comprises based on identification
Algorithm extracts target object included in input picture;According to the target object extracted, line segment and line segment are divided into
The tie point of end;Topological network is formed according to the connection relationship between all tie points;According to the topological network, topology is determined
All feasible paths in network;According to the feasible path, it is determined whether have path that is feasible but not actually existing, if having
Illustrate that nettle is broken, it is on the contrary then nettle is intact.
In some embodiments, the recognizer uses LSD algorithm, further includes included in extracting input picture
Target object after to image carry out binaryzation, rope por-tion is prospect, and rest part is background.
It in some embodiments, further include that line segment is carried out to the lack part of the line segment and is repaired after above-mentioned binaryzation
It is multiple.
In some embodiments, the method for the line segment reparation includes: the endpoint chosen on all isolated line segments, with above-mentioned
Endpoint extends setting length along line segment direction, judges whether the Euclidean distance of line segment and the endpoint on other line segments after extending is big
In the threshold value of setting, it is that the relationship of two lines section is to be not attached to, is otherwise connected.
In some embodiments, the topological network that formed includes: that the segment data after being repaired according to line segment forms connection
Connection relationship data between point, and tree topology relationship net is established, tie point is divided into root node and leaf node, root node
For nettle end fixed point, junction of the leaf node between nettle.
In some embodiments, feasible path all in the searching topological network includes: according to tree topology net
Structure finds the feasible path that input picture top is extended to from root node.
Second aspect, this application provides a kind of for detecting the device of railway freight-car nettle fracture, and described device includes:
Extraction unit, for extracting target object included in input picture, target object is divided into the connection of line segment and line segment end
Point;Topological network unit, for establishing topological network according to the connection relationship of all tie points;Path planning unit, for true
Determine feasible path all in topological network;Whether judging unit has feasible but not actually exists for determining in topological network
Path.
The third aspect, this application provides a kind of computer equipments characterized by comprising memory, storage are executable
Instruction;One or more processors, communicate with memory and complete following operation to execute executable instruction: being calculated based on identification
Method extracts target object included in input picture;According to the target object extracted, line segment and the extremity of segment are divided into
The tie point in portion;Topological network is formed according to the connection relationship between all tie points;According to the topological network, topological network is determined
All feasible paths in network;According to the feasible path, it is determined whether there is path that is feasible but not actually existing.
Method and apparatus provided by the present application for detecting the fracture of railway freight-car nettle, are inputted in advance using LSD algorithm
Nettle skeleton in image, determines whether to not actually exist but feasible path according to topology network architecture, to judge whether
There is the nettle of fracture, calculation amount is smaller, can be fast and accurately identified in image there are the position of nettle fracture, promotion is examined
Survey the efficiency and precision of target object.
Detailed description of the invention
Fig. 1 is the flow chart of the detection railway freight-car nettle method for breaking of the application;
Fig. 2 is the schematic diagram according to an application scenarios of the detection railway freight-car nettle method for breaking of the application:
Fig. 3 is the target object signal after being extracted according to the identified algorithm of one embodiment of the detection method of the application
Figure;
Fig. 4 is the target object schematic diagram after Fig. 3 is repaired according to detection method provided by the present application through line segment.
Fig. 5 is the structural schematic diagram according to one embodiment of the detection railway freight-car nettle breaking device of the application;
Fig. 6 is adapted for the structural representation of the electronic equipment for the terminal device or server of realizing the embodiment of the present application
Figure.
Specific embodiment
The application is made further specifically with reference to the accompanying drawings and examples.It is understood that described herein
Specific embodiment be used only for explaining related invention, and not restriction to the invention.In addition it should be noted that, in order to just
Part relevant to invention is illustrated only in description, attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows one embodiment process of the method for detecting the fracture of railway freight-car nettle according to the application
100.The method the following steps are included:
Step 101, target object included in input picture, the target object that will be extracted are extracted based on recognizer
The tie point of line segment and line segment end is divided into, referring to fig. 2, Fig. 3.
In the present embodiment, the recognizer uses LSD algorithm, the implementation steps of LSD algorithm:
1. carrying out Gauss down-sampling to input picture with the scale of S=0.8.
2. calculating the gradient value and gradient direction (level-line orientation) of each point.
3. carrying out pseudo- sequence (pseudo-ordered) to all the points according to gradient value, status list is established, at the beginning of all the points
Beginning state is set as UNUSED.
4. the dotted state by gradient value less than ρ is set as USED.
5. taking out the point of gradient in list maximum (first place of puppet arrangement) as seed point (seed), it is set as in status list
USED, circulation perform the following operation:
A. using seed as starting point, the point of surrounding UNUSED and direction in threshold range is searched for, state is changed to USED.
B. it generates comprising all rectangle R for meeting point.
C. judge whether same sex point (aligned pt) density meets threshold value D, if not satisfied, truncation R becomes multiple rectangles
Frame, until meeting.NFAIε
D. NFA is calculated.
E. changing R keeps the value of NFA smaller up to output listing is added in R.
6. exporting all same sex points and gray value being set to 255, remaining point is set to 0.
In the present embodiment, binaryzation, rope are carried out to image after target object included in extracting input picture
Rope part is prospect, and rest part is background.
Step 102, after above-mentioned binaryzation, line segment reparation is carried out to the lack part of the line segment, repairs result ginseng
See Fig. 4.
The method of the line segment reparation includes: the endpoint chosen on all isolated line segments in the present embodiment, with above-mentioned end
Point extends certain length l along line segment direction, and l value is 200 pixels in the present invention, judges on line segment and other line segments after extending
The Euclidean distance of endpoint whether be greater than the threshold epsilon of setting, it is the relationship of then two lines section that ε value, which is 50 pixels, in the present invention
To be not attached to, otherwise it is connected.Extended line direction scope is that θ value is 5 ' in the present invention.
Step 103, topological network is formed according to the connection relationship between all tie points;
In the present embodiment, the topological network that formed includes: that the segment data after being repaired according to line segment forms tie point
Between connection relationship data, and establish tree topology relationship net, tie point divided into root node and leaf node, root node is
Nettle end fixed point, junction of the leaf node between nettle.
Step 104, according to the topological network, feasible path all in topological network is determined.
In the present embodiment, feasible path all in the searching topological network includes: the knot according to tree topology net
Structure finds the feasible path that input picture top is extended to from root node.
Step 105, according to the feasible path, it is determined whether have path that is feasible but not actually existing, illustrate if having
Nettle fracture, it is on the contrary then nettle is intact.
As shown in figure 5, the device that the embodiment of the invention also provides a kind of to be broken for detecting railway freight-car nettle, described
Device 600 includes: extraction unit 601, for extracting in input picture included target object, target object be divided into line segment and
The tie point of line segment end;602, line segment repairs unit, and the lack part of the line segment for extracting to extraction unit is repaired
It is multiple;Topological network unit 603, for establishing topological network according to the connection relationship of all tie points;Path planning unit 604,
For determining feasible path all in topological network;Judging unit 605, for determine in topological network whether have it is feasible but practical
The path being not present.
The embodiment of the invention also provides a kind of electronic equipment, such as can be mobile terminal, personal computer (PC), put down
Plate computer, server etc..Below with reference to Fig. 6, it illustrates the terminal device or the services that are suitable for being used to realize the embodiment of the present application
The structural schematic diagram of the electronic equipment 700 of device: computer system 700 includes one or more processors, communication unit etc., and described one
A or multiple processors are for example: one or more central processing unit (CPU) 701, and/or one or more image processors
(GPU) 713 etc., processor can be according to the executable instruction being stored in read-only memory (ROM) 702 or from storage section
708 executable instructions being loaded into random access storage device (RAM) 703 and execute various movements appropriate and processing.Communication
Portion 712 may include but be not limited to network interface card, and the network interface card may include but be not limited to IB (Infiniband) network interface card,
Processor can with communicate in read-only memory 702 and/or random access storage device 630 to execute executable instruction,
It is connected by bus 704 with communication unit 712 and is communicated through communication unit 712 with other target devices, to completes the application implementation
The corresponding operation of any one method that example provides, for example, extracting target object included in input picture based on recognizer;
According to the target object extracted, the tie point of line segment and line segment end is divided into;According to the connection between all tie points
Relationship forms topological network;According to the topological network, feasible path all in topological network is determined;According to it is described can walking along the street
Diameter, it is determined whether have path that is feasible but not actually existing.
In addition, in RAM703, various programs and data needed for being also stored with device operation.CPU701, ROM702
And RAM703 is connected with each other by bus 704.In the case where there is RAM703, ROM702 is optional module.RAM703 storage
Executable instruction, or executable instruction is written into ROM702 at runtime, it is above-mentioned logical that executable instruction executes processor 701
The corresponding operation of letter method.Input/output (I/O) interface 705 is also connected to bus 704.Communication unit 712 can integrate setting,
It may be set to be with multiple submodule (such as multiple IB network interface cards), and in bus link.
I/O interface 705 is connected to lower component: the importation 706 including keyboard, mouse etc.;It is penetrated including such as cathode
The output par, c 707 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.;Storage section 708 including hard disk etc.;
And the communications portion 709 of the network interface card including LAN card, modem etc..Communications portion 709 via such as because
The network of spy's net executes communication process.Driver 710 is also connected to I/O interface 705 as needed.Detachable media 711, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 710, in order to read from thereon
Computer program be mounted into storage section 708 as needed.
It should be noted that framework as shown in FIG. 6 is only a kind of optional implementation, it, can root during concrete practice
The component count amount and type of above-mentioned Fig. 6 are selected, are deleted, increased or replaced according to actual needs;It is set in different function component
It sets, separately positioned or integrally disposed and other implementations, such as the separable setting of GPU and CPU or can be by GPU collection can also be used
At on CPU, the separable setting of communication unit, can also be integrally disposed on CPU or GPU, etc..These interchangeable embodiment party
Formula each falls within protection scope disclosed by the invention.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be tangibly embodied in machine readable
Computer program on medium, computer program include the program code for method shown in execution flow chart, program code
It may include the corresponding instruction of corresponding execution method and step provided by the embodiments of the present application, for example, extracting input based on recognizer
Included target object in image;According to the target object extracted, the tie point of line segment and line segment end is divided into;
Topological network is formed according to the connection relationship between all tie points;According to the topological network, determine all in topological network
Feasible path;According to the feasible path, it is determined whether there is path that is feasible but not actually existing.In such embodiments,
The computer program can be downloaded and installed from network by communications portion 709, and/or be pacified from detachable media 711
Dress.When the computer program is executed by central processing unit (CPU) 701, the above-mentioned function limited in the present processes is executed
Energy.
Methods and apparatus of the present invention, equipment may be achieved in many ways.For example, software, hardware, firmware can be passed through
Or any combination of software, hardware, firmware realizes methods and apparatus of the present invention, equipment.The step of for method
Sequence is stated merely to be illustrated, the step of method of the invention is not limited to sequence described in detail above, unless with other
Mode illustrates.In addition, in some embodiments, the present invention can be also embodied as recording program in the recording medium, this
A little programs include for realizing machine readable instructions according to the method for the present invention.Thus, the present invention also covers storage for holding
The recording medium of the program of row according to the method for the present invention.
Description of the invention is given for the purpose of illustration and description, and is not exhaustively or will be of the invention
It is limited to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.It selects and retouches
It states embodiment and is to more preferably illustrate the principle of the present invention and practical application, and those skilled in the art is enable to manage
The solution present invention is to design various embodiments suitable for specific applications with various modifications.
Claims (9)
1. a kind of method for detecting nettle fracture, which comprises
Target object included in input picture is extracted based on recognizer, and target object is divided into line segment and line segment end
Tie point;
Topological network is formed according to the connection relationship between all tie points;
According to the topological network, feasible path all in topological network is determined;
According to the feasible path, it is determined whether there is path that is feasible but not actually existing, illustrates that nettle is broken if having, it is on the contrary
Then nettle is intact.
2. the method according to claim 1, wherein the recognizer use LSD algorithm, further include mentioning
Target object included in input picture is taken to carry out binaryzation to image later, rope por-tion is prospect, and rest part is back
Scape.
3. according to the method described in claim 2, it is characterized in that, further include it is above-mentioned to image carry out binaryzation after, it is right
The lack part of the line segment carries out line segment reparation.
4. according to the method described in claim 3, it is characterized in that, the method for the line segment reparation includes:
The endpoint on all isolated line segments is chosen, setting length is extended along line segment direction with above-mentioned endpoint, judges the line after extending
Whether section is greater than the threshold value of setting with the Euclidean distance of the endpoint on other line segments, is, the relationship of two lines section is to be not attached to,
Otherwise it is connected.
5. according to the method described in claim 4, it is characterized in that, the formation topological network includes: after being repaired according to line segment
Segment data form the connection relationship data between tie point, and establish tree topology relationship net, tie point divided into root
Node and leaf node, root node are nettle end fixed point, junction of the leaf node between nettle.
6. according to the method described in claim 5, it is characterized in that, described find feasible path packet all in topological network
It includes: according to the structure of tree topology net, finding the feasible path for extending to input picture top from root node.
7. a kind of for detecting the device of railway freight-car nettle fracture, which is characterized in that described device includes:
Extraction unit, for extracting in input picture included target object, target object is divided into line segment and line segment end
Tie point;
Topological network unit, for establishing topological network according to the connection relationship of all tie points;
Path planning unit, for determining feasible path all in topological network;
Judging unit, for determining in topological network whether there is path that is feasible but not actually existing.
8. device according to claim 7, it is characterised in that: further include that line segment repairs unit, for being mentioned to extraction unit
The lack part for the line segment got is repaired.
9. a kind of computer equipment characterized by comprising
Memory stores executable instruction;
One or more processors communicate with memory and complete following operation to execute executable instruction:
Target object included in input picture is extracted based on recognizer, and target object is divided into line segment and line segment end
Tie point;
Topological network is formed according to the connection relationship between all tie points;
According to the topological network, feasible path all in topological network is determined;
According to the feasible path, it is determined whether there is path that is feasible but not actually existing.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112330630A (en) * | 2020-11-05 | 2021-02-05 | 北京格灵深瞳信息技术有限公司 | Iron wire fracture identification method and electronic equipment |
WO2022007127A1 (en) * | 2020-07-08 | 2022-01-13 | 胡飞青 | System and method for identifying fracture state of protective rope body |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5586254A (en) * | 1992-02-13 | 1996-12-17 | Hitachi Software Engineering Co., Ltd. | System for managing and operating a network by physically imaging the network |
US20090316602A1 (en) * | 2008-06-18 | 2009-12-24 | Biswajit Nandy | Method and System for Network Topology Discovery |
US20090326404A1 (en) * | 2002-05-03 | 2009-12-31 | Paul Sajda | Single trial detection in encephalography |
US7983174B1 (en) * | 2005-12-19 | 2011-07-19 | Cisco Technology, Inc. | Method and apparatus for diagnosing a fault in a network path |
US20130114462A1 (en) * | 2011-11-04 | 2013-05-09 | Cisco Technology, Inc. | Sub-Topology Discovery for Operating Hybrid Solutions |
US9525598B1 (en) * | 2014-11-13 | 2016-12-20 | Amazon Technologies, Inc. | Network testing device for automated topology validation |
CN108038846A (en) * | 2017-12-04 | 2018-05-15 | 国网山东省电力公司电力科学研究院 | Transmission line equipment image defect detection method and system based on multilayer convolutional neural networks |
CN109165781A (en) * | 2018-08-15 | 2019-01-08 | 山东鲁能软件技术有限公司 | Calculate the method, apparatus and terminal device in electric system line chart connecting line path |
CN109768883A (en) * | 2018-12-21 | 2019-05-17 | 华为技术服务有限公司 | A kind of the determination method, apparatus and terminal device in network topology path |
-
2019
- 2019-07-08 CN CN201910611969.5A patent/CN110533627B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5586254A (en) * | 1992-02-13 | 1996-12-17 | Hitachi Software Engineering Co., Ltd. | System for managing and operating a network by physically imaging the network |
US20090326404A1 (en) * | 2002-05-03 | 2009-12-31 | Paul Sajda | Single trial detection in encephalography |
US7983174B1 (en) * | 2005-12-19 | 2011-07-19 | Cisco Technology, Inc. | Method and apparatus for diagnosing a fault in a network path |
US20090316602A1 (en) * | 2008-06-18 | 2009-12-24 | Biswajit Nandy | Method and System for Network Topology Discovery |
US20130114462A1 (en) * | 2011-11-04 | 2013-05-09 | Cisco Technology, Inc. | Sub-Topology Discovery for Operating Hybrid Solutions |
US9525598B1 (en) * | 2014-11-13 | 2016-12-20 | Amazon Technologies, Inc. | Network testing device for automated topology validation |
CN108038846A (en) * | 2017-12-04 | 2018-05-15 | 国网山东省电力公司电力科学研究院 | Transmission line equipment image defect detection method and system based on multilayer convolutional neural networks |
CN109165781A (en) * | 2018-08-15 | 2019-01-08 | 山东鲁能软件技术有限公司 | Calculate the method, apparatus and terminal device in electric system line chart connecting line path |
CN109768883A (en) * | 2018-12-21 | 2019-05-17 | 华为技术服务有限公司 | A kind of the determination method, apparatus and terminal device in network topology path |
Non-Patent Citations (6)
Title |
---|
JIE TIAN 等: ""Literature Review of Research on the Technology of Wire Rope Nondestructive Inspection in China and Abroad"", 《HTTPS://DOI.ORG/10.1051/MATECCONF/20152203025》 * |
宋蓓蓓等: "基于脉冲耦合神经网络的路面裂缝提取", 《长安大学学报(自然科学版)》 * |
左志权等: "DSM辅助下城区大比例尺正射影像镶嵌线智能检测", 《测绘学报》 * |
彭向阳等: "变电站机器人智能巡检技术及应用效果", 《高压电器》 * |
李苹: "上海铁路局网络拓扑的安全性研究", 《上海铁道科技》 * |
王海明: ""SNS柔性防护网在公路高边坡的应用及施工安装方法和注意事项"", 《居舍》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2022007127A1 (en) * | 2020-07-08 | 2022-01-13 | 胡飞青 | System and method for identifying fracture state of protective rope body |
CN112330630A (en) * | 2020-11-05 | 2021-02-05 | 北京格灵深瞳信息技术有限公司 | Iron wire fracture identification method and electronic equipment |
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