CN106776877A - Motorcycle parts model automatic identifying method - Google Patents

Motorcycle parts model automatic identifying method Download PDF

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Publication number
CN106776877A
CN106776877A CN201611074703.4A CN201611074703A CN106776877A CN 106776877 A CN106776877 A CN 106776877A CN 201611074703 A CN201611074703 A CN 201611074703A CN 106776877 A CN106776877 A CN 106776877A
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motorcycle
spare
accessory parts
shooting area
size
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CN106776877B (en
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金松
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Changzhou Star Network Computer Technology Co Ltd
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Changzhou Star Network Computer Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
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  • General Engineering & Computer Science (AREA)
  • Library & Information Science (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Computation (AREA)
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  • Life Sciences & Earth Sciences (AREA)
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Abstract

The present invention relates to a kind of motorcycle parts model automatic identifying method, the spare and accessory parts for matching first are determined whether from outline, the size of motorcycle spare and accessory parts is then judged again, the concrete model of motorcycle spare and accessory parts can be corresponded exactly to, judge fast accurate;If inaccurate, user can also carry out manpower comparing pair with regard to the photo for exporting, correct so as to judge whether;The present invention sets different size of shooting area, and the size according to shooting area judges the size of motorcycle spare and accessory parts, judges that Accuracy Error is small.In addition, can also be first by manually carrying out rough sort to motorcycle spare and accessory parts to be identified, the classification detail of rough sort is divided into nine major classes, respectively engine and accessory, running gear part, steerable system part, electrical equipment and instrument, and general part to it is related, motorcycle spare and accessory parts database is divided into nine corresponding major class databases, so, comparison scope can be reduced, recognition speed, and accuracy of identification also relative raising is improved.

Description

Motorcycle parts model automatic identifying method
Technical field
The present invention relates to a kind of motorcycle parts model automatic identifying method.
Background technology
The species of motorcycle is relatively more, for example knight's car, beam bending bicycle, scooter, offroad vehicle, beach buggy, Nong Fuche, card fourth Car etc., and all each not phase of power section, actuating element, car body part, electrical part and consumable accessory involved by every kind of vehicle etc. Together.Each vehicle is again different according to the model of different manufacturers and each manufacturer production and match somebody with somebody using the zero of different model Part.Therefore, the spare and accessory parts species of motorcycle is more various, and this scope of one's knowledge requirement just to repairing motorcycle personnel is higher.Do not having Dispatch from the factory in the case of parts list, often profile is very nearly the same for some spare and accessory parts, or some spare and accessory parts are less commonly used, because This, repairing motorcycle personnel will be unable to accurately judge the model of the spare and accessory parts, so as to cause motorcycle to repair.
In addition, general spare and accessory parts are required for subscribing, for repairing motorcycle point, subscribing needs to be carried out by Maintenance Man Operation, brings trouble, and be unfavorable for the management of maintenace point to maintenance personal.
The content of the invention
The technical problem to be solved in the present invention is:In order to overcome motorcycle spare and accessory parts not easy to identify, and subscribe process CIMS Troublesome deficiency, the present invention provides a kind of motorcycle parts model automatic identifying method.
The technical solution adopted for the present invention to solve the technical problems is:A kind of motorcycle parts model automatic identification side Method, comprises the following steps:
Step 1:Setting up includes motorcycle spare and accessory parts photo and its contour edge in motorcycle spare and accessory parts database, database Feature, and the motorcycle spare and accessory parts corresponding model and size;
Step 2:Obtain motorcycle spare and accessory parts to be identified;
Step 3:Multiple shooting areas not of uniform size are set, and the size of each shooting area is fixed and with numbering, compiled Number be located at shooting area in edge;Size according to motorcycle spare and accessory parts selects the shooting area of close size, and will Motorcycle spare and accessory parts are placed into the shooting area, and motorcycle spare and accessory parts are fully located in shooting area;
Step 4:The photo of the shooting area with motorcycle spare and accessory parts is shot using filming apparatus, filming apparatus are numbering Point on the basis of position, adjusts coverage, makes whole shooting area in coverage, takes a picture with shooting area Numbering;
Step 5:The photo of step 4 is converted into gray level image, original-gray image is set to;
Step 6:By the contour edge feature of the original-gray image in edge treated algorithm obtaining step 5;
Step 7:Contour edge feature to step 6 carries out matching characteristic point treatment, first obtains and shoots datum mark position institute The shooting area numbering of shooting, the size of shooting area is obtained according to numbering;Then the contour edge feature at remaining position is obtained, Correspondence obtains the outline size of captured motorcycle component, and by rubbing in the contour edge feature and step 1 database Motorcycle spare and accessory parts profile is compared, so that the contour edge feature for obtaining database spare and accessory parts and spare and accessory parts to be identified is in minimum Bias state;
Step 8:Whether profile error is judged in the range of default profile error, if so, performing step 9;If it is not, Perform step 10;
Step 9:The motorcycle component outline size to be identified that step 7 is obtained and motorcycle spare and accessory parts in database Whether size is contrasted, and judges scale error in the range of default scale error, if so, performing step 11;If it is not, performing Step 10;
Step 10:Corresponding motorcycle spare and accessory parts are not found in output;
Step 11:The photo and model of corresponding motorcycle spare and accessory parts in database are extracted, and is exported.
Motorcycle spare and accessory parts are the waste and old spare and accessory parts disassembled from motorcycle.
The edge of shooting area has edge line, and filming apparatus adjust coverage by recognizing edge line.
Shooting area is rectangle, and edge line is a rectangle frame, and the numbering of shooting area is compiled positioned at the left upper of rectangle frame Number be located at a circle in, filming apparatus shoot datum mark for circle the center of circle.
Before step 1, first by manually motorcycle spare and accessory parts to be identified are carried out with rough sort, the classification detail of rough sort is divided into Nine major classes, respectively engine and accessory, running gear part, steerable system part, electrical equipment and instrument, and general part and phase Close, motorcycle spare and accessory parts database is divided into nine corresponding major class databases.So, rough sort first can be carried out to spare and accessory parts, Comparison scope is reduced, recognition speed, and accuracy of identification also relative raising is improve.
The beneficial effects of the invention are as follows motorcycle parts model automatic identifying method of the invention first judges from outline Whether there are the spare and accessory parts for matching, the size of motorcycle spare and accessory parts is then judged again, can correspond exactly to motorcycle zero match somebody with somebody The concrete model of part, judges fast accurate;If inaccurate, user can also carry out manpower comparing pair with regard to the photo for exporting, so that Judge whether correct;The present invention sets different size of shooting area, and the size according to shooting area judges motorcycle spare and accessory parts Size, judge that Accuracy Error is small.
Brief description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is the flow chart of motorcycle parts model automatic identifying method of the invention.
Fig. 2 is a schematic diagram for shooting area in the present invention.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.These accompanying drawings are simplified schematic diagram, only with Illustration illustrates basic structure of the invention, therefore it only shows the composition relevant with the present invention.
As shown in figure 1, a kind of motorcycle parts model automatic identifying method of the invention, comprises the following steps:
Step 1:Setting up includes motorcycle spare and accessory parts photo and its contour edge in motorcycle spare and accessory parts database, database Feature, and the motorcycle spare and accessory parts corresponding model and size;
Step 2:Obtain motorcycle spare and accessory parts to be identified;
Step 3:Multiple shooting areas not of uniform size are set, and the size of each shooting area is fixed and with numbering, compiled Number be located at shooting area in edge;Size according to motorcycle spare and accessory parts selects the shooting area of close size, and will Motorcycle spare and accessory parts are placed into the shooting area, and motorcycle spare and accessory parts are fully located in shooting area;
Step 4:The photo of the shooting area with motorcycle spare and accessory parts is shot using filming apparatus, filming apparatus are numbering Point on the basis of position, adjusts coverage, makes whole shooting area in coverage, takes a picture with shooting area Numbering;
Step 5:The photo of step 4 is converted into gray level image, original-gray image is set to;
Step 6:By the contour edge feature of the original-gray image in edge treated algorithm obtaining step 5;
Step 7:Contour edge feature to step 6 carries out matching characteristic point treatment, first obtains and shoots datum mark position institute The shooting area numbering of shooting, the size of shooting area is obtained according to numbering;Then the contour edge feature at remaining position is obtained, Correspondence obtains the outline size of captured motorcycle component, and by rubbing in the contour edge feature and step 1 database Motorcycle spare and accessory parts profile is compared, so that the contour edge feature for obtaining database spare and accessory parts and spare and accessory parts to be identified is in minimum Bias state;
Specifically include following sub-step:
Step S71:Extract the part point set A and the edge of spare and accessory parts to be identified of the edge contour feature of database spare and accessory parts The part point set B of contour feature;
Step S72:The edge contour characteristic point of database spare and accessory parts and spare and accessory parts to be identified is compared one by one, to obtain The minimum Hausdorff distance taken between point set A and point set B is measured, point set A now and point set B then for matching similarity most The contour edge feature of height, database spare and accessory parts and spare and accessory parts to be identified is in minimum deflection state.
Step 8:Whether profile error is judged in the range of default profile error, if so, performing step 9;If it is not, Perform step 10;
Specifically include following sub-step:
Step S81:All feature point coordinates of the contour line of database spare and accessory parts and spare and accessory parts to be identified are obtained respectively;
Step S82:A characteristic point ak (x1, y1) of the contour line of spare and accessory parts to be identified is chosen, is pointed out in corresponding ak attached Closely, two discrete point a (k-n) of the neighbouring same intervals in left and right, point a (k+n) are chosen;
Step S83:Connection origin O obtains straight line with point a (k-n), and connection origin O and a (k+n) obtains another directly Line, this two straight lines must intersect at b1 and 2 points of b2 with the contour line of standardized element respectively, obtain point set of the point between b1 and b2 B;In point set B so on the contour line of database spare and accessory parts, a theory characteristic corresponding with tested point ak is necessarily found Point.
Step S84:Compare 2 points between tested point ak and point set B of distance using golden split plot design, found on point set B away from From two most short points of tested point ak, straight line L is then obtained, ask for tested point ak to the distance of straight line L, as tested point Minimum range on to nominal contour, the as profile errors.
Step 9:The motorcycle component outline size to be identified that step 7 is obtained and motorcycle spare and accessory parts in database Whether size is contrasted, and judges scale error in the range of default scale error, if so, performing step 11;If it is not, performing Step 10;
Step 10:Corresponding motorcycle spare and accessory parts are not found in output;
Step 11:The photo and model of corresponding motorcycle spare and accessory parts in database are extracted, and is exported.
Motorcycle spare and accessory parts are the waste and old spare and accessory parts disassembled from motorcycle.
The edge of shooting area has edge line, and filming apparatus adjust coverage by recognizing edge line.
Shooting area is rectangle, and edge line is a rectangle frame, and the numbering of shooting area is compiled positioned at the left upper of rectangle frame Number be located at a circle in, filming apparatus shoot datum mark for circle the center of circle.
Before step 1, first by manually motorcycle spare and accessory parts to be identified are carried out with rough sort, the classification detail of rough sort is divided into Nine major classes, respectively engine and accessory, running gear part, steerable system part, electrical equipment and instrument, and general part and phase Close, motorcycle spare and accessory parts database is divided into nine corresponding major class databases.So, rough sort first can be carried out to spare and accessory parts, Comparison scope is reduced, recognition speed, and accuracy of identification also relative raising is improve.
Motorcycle accessories classification detail includes:
Engine and accessory:Assembly, crankcase, cylinder, piston, ring, bent axle, valve, camshaft, fuel tank, filtering, combustion Oil pump, lubricating oil pump, carburetor, EFI, intake and exhaust, water tank blower fan, other;
Transmission system part:Clutch of motorcycle, speed changer, speed-changer operation device, motorcycle starting mechanism, motorcycle Belt drive component, chain kit, axle transmission component;
Running gear part:Vehicle frame, mud guard, fork, damping, damping accessory, wheel, wheel hub, wheel rim etc., tire, car Lock alarm, bumper, visor, glove compartment, shield frame etc., jiffy stand, handrail, windshield, auxiliary decorations;
Steerable system part:Steering column, handlebar, grip and actuation means, flexible axle, zip, brake, brake pedal, drawing Bar, ABS and other braking components;
Electrical equipment and instrument:Battery, generator, starting motor, brush etc.;Rectifier, overdrive clutch, ignition distributor, spark Plug, switch, light fixture and recoil simulator, loudspeaker, instrument, sensor, relay, wirning harness, register, other electric parts;
General part to it is related:Seal rubber, working of plastics, rubber, working of plastics, hard tube, flexible pipe, metallic sintered products, casting forging Part, stamping parts, standard component, fastener, bearing, axle sleeve, gear, coating, adhesive, lubricating oil, other materials and processing, magnetoelectricity Machine motorcycle safety articles for use, the helmet, sunglasses.
Motorcycle parts model automatic identifying method of the invention, first determines whether that match zero matches somebody with somebody from outline Part, then judges the size of motorcycle spare and accessory parts again, can correspond exactly to the concrete model of motorcycle spare and accessory parts, judges fast It is fast accurate;If inaccurate, user can also carry out manpower comparing pair with regard to the photo for exporting, correct so as to judge whether;The present invention Different size of shooting area is set, and the size according to shooting area judges the size of motorcycle spare and accessory parts, judges Accuracy Error It is small.
With above-mentioned according to desirable embodiment of the invention as enlightenment, by above-mentioned description, relevant staff is complete Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention Property scope is not limited to the content on specification, it is necessary to its technical scope is determined according to right.

Claims (5)

1. a kind of motorcycle parts model automatic identifying method, it is characterised in that comprise the following steps:
Step 1:Setting up in motorcycle spare and accessory parts database, database includes that motorcycle spare and accessory parts photo and its contour edge are special Levy, and the motorcycle spare and accessory parts corresponding model and size;
Step 2:Obtain motorcycle spare and accessory parts to be identified;
Step 3:Multiple shooting areas not of uniform size are set, and the size of each shooting area is fixed and with numbering, numbering position In the edge in shooting area;Size according to motorcycle spare and accessory parts selects the shooting area of close size, and by motor Car spare and accessory parts are placed into the shooting area, and motorcycle spare and accessory parts are fully located in shooting area;
Step 4:The photo of the shooting area with motorcycle spare and accessory parts is shot using filming apparatus, filming apparatus are with where numbering Point on the basis of position, adjusts coverage, makes whole shooting area in coverage, the volume with shooting area of taking a picture Number;
Step 5:The photo of step 4 is converted into gray level image, original-gray image is set to;
Step 6:By the contour edge feature of the original-gray image in edge treated algorithm obtaining step 5;
Step 7:Contour edge feature to step 6 carries out matching characteristic point treatment, first obtains and shoots captured by datum mark position Shooting area numbering, according to numbering obtain shooting area size;Then the contour edge feature at remaining position is obtained, correspondence Obtain the outline size of captured motorcycle component, and by the motorcycle in the contour edge feature and step 1 database Spare and accessory parts profile is compared, so that the contour edge feature for obtaining database spare and accessory parts and spare and accessory parts to be identified is in minimum deflection State;
Step 8:Whether profile error is judged in the range of default profile error, if so, performing step 9;If it is not, performing Step 10;
Step 9:The motorcycle component outline size to be identified that step 7 is obtained and motorcycle spare and accessory parts size in database Contrasted, judged scale error whether in the range of default scale error, if so, performing step 11;If it is not, performing step 10;
Step 10:Corresponding motorcycle spare and accessory parts are not found in output;
Step 11:The photo and model of corresponding motorcycle spare and accessory parts in database are extracted, and is exported.
2. motorcycle parts model automatic identifying method as claimed in claim 1, it is characterised in that:Motorcycle spare and accessory parts be from The waste and old spare and accessory parts disassembled on motorcycle.
3. motorcycle parts model automatic identifying method as claimed in claim 1, it is characterised in that:The edge tool of shooting area There is edge line, filming apparatus adjust coverage by recognizing edge line.
4. motorcycle parts model automatic identifying method as claimed in claim 3, it is characterised in that:Shooting area is rectangle, Edge line is a rectangle frame, and the numbering of shooting area is numbered and be located in a circle positioned at the left upper of rectangle frame, filming apparatus Shoot datum mark for circle the center of circle.
5. motorcycle parts model automatic identifying method as claimed in claim 1, it is characterised in that:Before step 1, first by people Work carries out rough sort to motorcycle spare and accessory parts to be identified, and the classification detail of rough sort is divided into nine major classes, respectively engine and matches somebody with somebody Part, running gear part, steerable system part, electrical equipment and instrument, and general part and related, motorcycle spare and accessory parts database point It is nine corresponding major class databases.
CN201611074703.4A 2016-11-28 2016-11-28 Automatic identification method for motorcycle part models Active CN106776877B (en)

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CN108508848A (en) * 2018-04-20 2018-09-07 华中科技大学 A kind of appraisal procedure of the Milling Process profile errors based on interpolation data
CN108764938A (en) * 2018-05-07 2018-11-06 上海博泰悦臻电子设备制造有限公司 A kind of non-certified products recognition methods of auto repair part and system
CN111103014A (en) * 2019-12-27 2020-05-05 株洲壹星科技股份有限公司 Automatic identification method and device for types of relay and contactor

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CN108764938A (en) * 2018-05-07 2018-11-06 上海博泰悦臻电子设备制造有限公司 A kind of non-certified products recognition methods of auto repair part and system
CN111103014A (en) * 2019-12-27 2020-05-05 株洲壹星科技股份有限公司 Automatic identification method and device for types of relay and contactor

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