CN108181320A - Surface Flaw identification, the method, apparatus and system of detection - Google Patents
Surface Flaw identification, the method, apparatus and system of detection Download PDFInfo
- Publication number
- CN108181320A CN108181320A CN201711403733.XA CN201711403733A CN108181320A CN 108181320 A CN108181320 A CN 108181320A CN 201711403733 A CN201711403733 A CN 201711403733A CN 108181320 A CN108181320 A CN 108181320A
- Authority
- CN
- China
- Prior art keywords
- workpiece
- defect
- test point
- concave
- geometry
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/9515—Objects of complex shape, e.g. examined with use of a surface follower device
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a kind of identification of Surface Flaw, the method, apparatus of detection and system and detecting systems, the image data that 3-D scanning obtains workpiece surface is carried out to workpiece, the image data that 3-D scanning obtains is handled, identifies the concave-convex defect of workpiece surface and the radian of workpiece surface in itself.The invention avoids because of interference caused by the design curved surface of environment light source, workpiece surface oil stain, workpiece in itself identifies image, the concave-convex defect of workpiece surface can be efficiently identified, the precision and accuracy rate of workpiece, defect detection is improved, improves detection efficiency.
Description
Technical field
The present invention relates to industrial detection technical field, more specifically, it is related to a kind of Surface Flaw identification, detection
Method, apparatus and system.
Background technology
Body of a motor car stamping parts, especially body outer skin exterior panel require very stringent, steel plate to surface quality of workpieces
The concave-convex defect of surface 0.1mm scales can form macroscopic open defect after application.So side of mass discrimination at present
Method is polished with oilstone or emery cloth, then identifies defect according to the luminance difference of workpiece surface sags and crests after polishing.
With the development of mechanical vision inspection technology, begin to use NI Vision Builder for Automated Inspection in recent years to carry out workpiece surface
Defects detection.Autobody sheet defect inspection method usually shoots surface of steel plate with high-speed industrial camera, then basis
The image taken carries out image analysis, and surface defect is identified according to the color difference image of defect.For example, Publication No.
The Chinese patent of CN102879402A discloses a kind of online Image detection control method of plate defect, including step:In plate
The top setting high-speed image detection equipment of material article unit, for obtaining the dynamic image information of board product unit online;
The plank image information of acquisition is transmitted in image processor and is preserved and is analyzed with the image information to plank;It will analysis
Obtained image information carries out comparison processing with preset Con trolling index;If it find that it is lacked in plank there are unacceptable
It falls into, meeting automatic alarm simultaneously sends out signal to the central processing unit of DCS;The central processing unit of DCS calculates received signal
And determine processing scheme;The signal of processing scheme is sent to on-line controller by DCS, is located accordingly using on-line controller
Reason.Technical solution disclosed in the patent specification can be detected control to the defects of plank in real time, efficiently, be applicable in
In the technical field of board quality control.But due to industrial environment light source complexity, steel plate surface itself can exist certain
Aberration, can there are many interference to lead to system erroneous judgement defect so identify defect using image aberration.
Invention content
It is an object of the invention to overcome the deficiencies of the prior art and provide the sides of a kind of identification of Surface Flaw, detection
Method, device and system avoid image is identified because of the design curved surface of environment light source, workpiece surface oil stain, workpiece in itself
Interference can efficiently identify the concave-convex defect of workpiece surface, improve the precision and accuracy rate of workpiece, defect detection, improve inspection
Survey efficiency.
The purpose of the present invention is achieved through the following technical solutions:
A kind of recognition methods of the concave-convex defect of the cambered workpiece of band carries out area including one to concave-convex defect and radian
The step of dividing identification, in this step, identifying processing is distinguished to the image data with cambered workpiece, is further comprised
Following steps:By the change of the relative position of each test point test point adjacent thereto be turned to described in Division identification concave-convex defect with
First foundation of radian;Or the change of the curvature of each test point test point adjacent thereto is turned to concave-convex described in Division identification lack
Fall into the second foundation with radian.
A kind of recognition methods of the concave-convex defect of the cambered workpiece of band carries out area including one to concave-convex defect and radian
The step of dividing identification, in this step, identifying processing is distinguished to the image data with cambered workpiece, is further comprised
Following steps:(1) change of the relative position of each test point test point adjacent thereto is turned to concave-convex described in Division identification lack
Fall into the third foundation with radian;(2) change of the curvature of each test point test point adjacent thereto is turned to Division identification institute
State concave-convex defect and the 4th foundation of radian.
A kind of recognition methods of the concave-convex defect of the cambered workpiece of band carries out area including one to concave-convex defect and radian
The step of dividing identification, in this step, identifying processing is distinguished to the image data with cambered workpiece, is further comprised
Following steps:(1) by the change of the curvature of each test point test point adjacent thereto be turned to described in Division identification concave-convex defect with
5th foundation of radian;(2) change of the relative position of each test point test point adjacent thereto is turned to Division identification institute
State concave-convex defect and the 6th foundation of radian.
Further, it is in this step, cambered to the band using image-scanning device including an acquisition step
The surface of workpiece is scanned, and the scanning motion is for image data of the acquisition with cambered workpiece.
Further, the acquisition step is used to acquire the 3 d image data of the cambered workpiece of the band.
The identification device of the concave-convex defect of the cambered workpiece of a kind of band, including image data acquiring device, image data
Processor device, readable storage medium storing program for executing and the program that can be run in described image data processor means, described program
Including curvature estimation program module and/or adjacent position calculation procedure module;Described image data acquisition device and described image
Data processor means connect, and described image data processor means are connect with readable storage medium storing program for executing, the curvature estimation program
Module is used to calculate the variable quantity of the curvature of each test point test point adjacent thereto, and the adjacent position calculation procedure module is used
In the variable quantity for the relative position for calculating each test point test point adjacent thereto.
Further, described image scanning means includes 3-D view scanning means, uses 3-D view scanning means pair
The surface of the cambered workpiece of the band is scanned, and the scanning step is for image data of the acquisition with cambered workpiece.
A kind of automobile exterior panel face quality defect detection method, including step:
S1:The surface of examined workpiece is irradiated with light supply apparatus, Line of light is formed on the surface of examined workpiece
Spot;
S2:The two-dimensional image information of linear hot spot described in image acquisition device;
S3:Binary conversion treatment is carried out to the two-dimensional image information of acquisition, obtains geometry lines;
S4:The geometry lines are parsed, in step s 4, using as above any one of technical solution the method
Or device distinguishes identification to concave-convex defect and radian, obtains defect geometry lines and normal geometry lines;
S5:Dynamic calculates the geometry threshold values of the defect geometry lines;
S6:By the geometry threshold values for the defect geometry lines being calculated and the geometry of the actual defects of examined workpiece
Value is matched, and after the completion of matching, calculates the location information of the defect geometry lines;Or cycle performs step S1~S6,
For the examined workpiece of dynamic detection.
Further, in step s 2, examined workpiece is directed above 45 degree of examined workpiece and acquires the two dimension
Image information.
A kind of automobile exterior panel face quality defect detecting system, including light supply apparatus, image collecting device, image procossing mould
Block, concave-convex defect recognition module, geometry threshold calculations program module, matching module and position calculation procedure module, described recessed
Convex defect recognizing device includes curvature estimation program module and/or adjacent position calculation procedure module, the curvature estimation journey
Sequence module is used to calculate the variable quantity of the curvature of each test point test point adjacent thereto, the adjacent position calculation procedure module
For calculating the variable quantity of the relative position of each test point test point adjacent thereto;The light supply apparatus is examined for irradiating
Workpiece, and mounted on the top or oblique upper of examined workpiece, hot spot, the figure are formed on the examined face of examined workpiece
As harvester is used to receive the image information of the hot spot, and the image information of reception is transmitted to image processing module and is carried out
Binary image processing, the image processing module are set in a computer, and bumps are additionally provided in the computer
Defect recognition module, the bumps defect recognition module can distinguish knowledge for being parsed to the information after binary conversion treatment
Not concave-convex defect and radian, obtain defect geometry lines and normal geometry lines, the geometry threshold calculations program module is used for
Calculate the geometry threshold value of the defect geometry lines, the defects of matching module is used to be calculated geometry lines geometry
Threshold values is matched with the geometry value of the actual defects of examined workpiece, after the completion of matching, the position calculation procedure module
For calculating the location information of the defect geometry lines.
The beneficial effects of the invention are as follows:
(1) concave-convex defect and the radian of workpiece surface in itself are distinguished difference by the present invention, by identifying geometric parameter
Variation identify defect, compared to tradition using the way of image color identification, avoid environment light source, workpiece setting in itself
The problems such as counting identification interference caused by curved surface improves the accuracy rate of workpiece, defect identification, especially for cambered
Workpiece is identified, and significantly achievees the purpose that the radian that workpiece has in itself distinguishing identification with concave-convex defect, is ability
Field technique personnel provide a kind of new arc-shaped workpiece bumps defect recognition solution.
(2) present invention carries out 3-D scanning by the surface to examined workpiece, can be by identifying examined workpiece
The curvature mutation on surface identifies concave-convex defect, so as to more effectively identify the concave-convex defect of product surface.
(3) present invention carries out 3-D scanning by the surface to examined workpiece, can be by identifying examined workpiece
The adjacent position of the test point on surface changes to identify concave-convex defect, so as to more effectively identify the concave-convex defect of product surface.
(4) present invention identifies defect using adjacent feature, i.e., simultaneously non-interesting is absolute for the image data that 3-D scanning obtains
Coordinate value, and the relative position and curvature of each test point test point adjacent thereto are paid close attention to, thus by concave-convex defect and workpiece table
Face radian itself is distinguished.
(5) present invention carries out 3-D scanning, to geometry compared with conventional machines visible detection method to workpiece surface
It is sensitive and insensitive to aberration, so as to avoid because the design curved surface of environment light source, workpiece surface oil stain, workpiece in itself to figure
As the interference of identification, the concave-convex defect of workpiece surface can be efficiently identified.
The technique effect of the present invention is not limited to the described above, and more than technique effect is merely exemplary to illustrate, of the invention
Other features and its effect etc. will be described in detail in subsequent specific embodiment part.Those skilled in the art can root
Specification according to the present invention can directly or indirectly know remaining technique effect etc., and details are not described herein again.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of method and step flow chart in the present invention.
Fig. 2 is the optical principle schematic diagram of the system in the present invention.
Fig. 3 is the detection data analysis result figure in the present invention.
In figure, 1- lasers, the convex defect launch points of 21-, 22- normal transmissions point, 23- concave defect launch points, 3- is examined
Workpiece, 4- camera lenses, 5-CCD sensors, 6- focal lengths, the convex flaw indications of 211-, 233- concave defect signals.
Specific embodiment
Technical scheme of the present invention is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to
It is as described below.All features disclosed in this specification or implicit disclosed all methods or in the process the step of, in addition to mutual
Other than the feature and/or step of repulsion, it can combine in any way.
Any feature disclosed in this specification (including any accessory claim, abstract and attached drawing), except non-specifically chatting
It states, can be replaced by other alternative features that are equivalent or have similar purpose.That is, unless specifically stated, each feature is only
It is an example in a series of equivalent or similar characteristics.
Specific embodiments of the present invention are described more fully below, it should be noted that the embodiments described herein is served only for illustrating
Illustrate, be not intended to restrict the invention.In the following description, in order to provide a thorough understanding of the present invention, a large amount of spies are elaborated
Determine details.It will be apparent, however, to one skilled in the art that:This hair need not be carried out using these specific details
It is bright.In other instances, in order to avoid obscuring the present invention, well known circuit, software or method are not specifically described.
Throughout the specification, meaning is referred to " one embodiment ", " embodiment ", " example " or " example "
It:It is comprised at least one embodiment of the present invention with reference to a particular feature, structure, or characteristic that the embodiment or example describe.
Therefore, the phrase " in one embodiment ", " in embodiment ", " example " occurred in each place of the whole instruction
Or " example " is not necessarily all referring to the same embodiment or example.Furthermore, it is possible to any appropriate combination and or sub-portfolio will be specific
Feature, structure or characteristic combine in one or more embodiments or example.In addition, those of ordinary skill in the art should manage
Solution, diagram is provided to the purpose of explanation provided herein, and diagram is not necessarily drawn to scale.
Such as Fig. 1, shown in 2,3, a kind of recognition methods of the concave-convex defect of the cambered workpiece of band lacks bumps including one
The step of distinguishing identification with radian is fallen into, in this step, identification is distinguished to the image data with cambered workpiece
Processing, further comprises following steps:
By the change of the relative position of each test point test point adjacent thereto be turned to described in Division identification concave-convex defect with
First foundation of radian;Or
The change of the curvature of each test point test point adjacent thereto is turned to concave-convex defect and radian described in Division identification
The second foundation.
A kind of recognition methods of the concave-convex defect of the cambered workpiece of band carries out area including one to concave-convex defect and radian
The step of dividing identification, in this step, identifying processing is distinguished to the image data with cambered workpiece, is further comprised
Following steps:
(1) change of the relative position of each test point test point adjacent thereto is turned to concave-convex defect described in Division identification
With the third foundation of radian;With
(2) change of the curvature of each test point test point adjacent thereto is turned to concave-convex defect and arc described in Division identification
4th foundation of degree.
A kind of recognition methods of the concave-convex defect of the cambered workpiece of band carries out area including one to concave-convex defect and radian
The step of dividing identification, in this step, identifying processing is distinguished to the image data with cambered workpiece, is further comprised
Following steps:
(1) change of the curvature of each test point test point adjacent thereto is turned to concave-convex defect and arc described in Division identification
5th foundation of degree;With
(2) change of the relative position of each test point test point adjacent thereto is turned to concave-convex defect described in Division identification
With the 6th foundation of radian.
Further, it is in this step, cambered to the band using image-scanning device including an acquisition step
The surface of workpiece is scanned, and the scanning motion is for image data of the acquisition with cambered workpiece.
Further, the acquisition step is used to acquire the 3 d image data of the cambered workpiece of the band.
The identification device of the concave-convex defect of the cambered workpiece of a kind of band, including image data acquiring device, image data
Processor device, readable storage medium storing program for executing and the program that can be run in described image data processor means, described program
Including curvature estimation program module and/or adjacent position calculation procedure module;
Described image data acquisition device is connect with described image data processor means, described image data processor dress
It puts and is connect with readable storage medium storing program for executing, the curvature estimation program module is used to calculate the song of each test point test point adjacent thereto
The variable quantity of rate, the adjacent position calculation procedure module are used to calculate the relative position of each test point test point adjacent thereto
Variable quantity.
Further, described image scanning means includes 3-D view scanning means, uses 3-D view scanning means pair
The surface of the cambered workpiece of the band is scanned, and the scanning step is for image data of the acquisition with cambered workpiece.
A kind of automobile exterior panel face quality defect detection method, including step:
S1:The surface of examined workpiece is irradiated with light supply apparatus, Line of light is formed on the surface of examined workpiece
Spot;
S2:The two-dimensional image information of linear hot spot described in image acquisition device;
S3:Binary conversion treatment is carried out to the two-dimensional image information of acquisition, obtains geometry lines;
S4:The geometry lines are parsed, in step s 4, using as above any one of technical solution the method
Or device distinguishes identification to concave-convex defect and radian, obtains defect geometry lines and normal geometry lines;
S5:Dynamic calculates the geometry threshold values of the defect geometry lines;
S6:By the geometry threshold values for the defect geometry lines being calculated and the geometry of the actual defects of examined workpiece
Value is matched, and after the completion of matching, calculates the location information of the defect geometry lines;Or
Cycle performs step S1~S6, for the examined workpiece of dynamic detection.
Further, in step s 2, examined workpiece is directed above 45 degree of examined workpiece and acquires the two dimension
Image information.
A kind of automobile exterior panel face quality defect detecting system, including light supply apparatus, image collecting device, image procossing mould
Block, concave-convex defect recognition module, geometry threshold calculations program module, matching module and position calculation procedure module, described recessed
Convex defect recognizing device includes curvature estimation program module and/or adjacent position calculation procedure module, the curvature estimation journey
Sequence module is used to calculate the variable quantity of the curvature of each test point test point adjacent thereto, the adjacent position calculation procedure module
For calculating the variable quantity of the relative position of each test point test point adjacent thereto;
The light supply apparatus is for irradiating examined workpiece, and mounted on the top or oblique upper of examined workpiece, by
It detects and hot spot is formed on the examined face of workpiece, described image harvester is used to receive the image information of the hot spot, and will
The image information of reception is transmitted to image processing module and carries out binary image processing, and described image processing module is arranged on calculating
In machine, concave-convex defect recognition module is additionally provided in the computer, the bumps defect recognition module is used for two-value
Change that treated that information is parsed, can Division identification bumps defect and radian, obtain defect geometry lines and normal geometry
Lines, the geometry threshold calculations program module are used to calculate the geometry threshold value of the defect geometry lines, the matching module
For the geometry threshold values of geometry lines the defects of being calculated to be matched with the geometry value of the actual defects of examined workpiece,
After the completion of matching, the position calculation procedure module is used to calculate the location information of the defect geometry lines.
We emphasize that for the following each embodiment of the method that will be described, in order to be briefly described, therefore by its all table
It states as a series of combination of actions, but those skilled in the art should know, the present invention is not by described sequence of movement
Limitation because according to the present invention, certain some step may be used other sequences or be carried out at the same time.Secondly, art technology
Personnel should also know that embodiment described in this description belongs to preferred embodiment, and involved action and unit are not
Necessary to must being the present invention.
【Embodiment one】
Those skilled in the art can be using a kind of recognition methods of the concave-convex defect of the present invention workpiece cambered as band
The step of being implemented, identification distinguished to concave-convex defect and radian including one, in this step, to cambered work
The image data of part distinguishes identifying processing, further comprises following steps:
(1) change of the curvature of each test point test point adjacent thereto is turned to concave-convex defect and arc described in Division identification
5th foundation of degree;
(2) change of the relative position of each test point test point adjacent thereto is turned to concave-convex defect described in Division identification
With the 6th foundation of radian.
The present invention identifies defect using adjacent feature, i.e., the image data that 3-D scanning obtains and non-interesting absolute coordinate
Value, and the relative position and curvature of each test point test point adjacent thereto are paid close attention to, thus by concave-convex defect and workpiece surface sheet
Body radian is distinguished.Remaining technical characteristic in the present embodiment, those skilled in the art can according to actual conditions into
Row is flexibly selected and to meet different specific actual demands.It will be apparent, however, to one skilled in the art that:
The present invention need not be carried out using these specific details.In other instances, in order to avoid obscuring the present invention, public affairs are not specifically described
The algorithm known, method or system etc. limit technical protection model in the claimed technical solution of claims of the present invention
Within enclosing.
【Embodiment two】
Those skilled in the art can be using a kind of identification device of the concave-convex defect of the present invention workpiece cambered as band
Implemented, including image data acquiring device, image data processor device, readable storage medium storing program for executing and can be in the figure
As the program run in data processor means, described program includes curvature estimation program module and/or adjacent position calculates journey
Sequence module, described image data acquisition device are connect with described image data processor means, described image data processor dress
It puts and is connect with readable storage medium storing program for executing, the curvature estimation program module is used to calculate the song of each test point test point adjacent thereto
The variable quantity of rate, the adjacent position calculation procedure module are used to calculate the relative position of each test point test point adjacent thereto
Variable quantity.
Remaining technical characteristic in the present embodiment, those skilled in the art can flexibly be selected according to actual conditions
With with to meet different specific actual demands.It will be apparent, however, to one skilled in the art that:It need not use
These specific details carry out the present invention.In other instances, in order to avoid obscuring the present invention, well known calculation is not specifically described
Method, method or system etc. are limited in the claimed technical solution of claims of the present invention within technical protection scope.
【Embodiment three】
Those skilled in the art can implement using the present invention as a kind of automobile exterior panel face quality defect detection method,
Including step:
S1:The surface of examined workpiece is irradiated with light supply apparatus, Line of light is formed on the surface of examined workpiece
Spot;
S2:The two-dimensional image information of linear hot spot described in image acquisition device;
S3:Binary conversion treatment is carried out to the two-dimensional image information of acquisition, obtains geometry lines;
S4:The geometry lines are parsed, in step s 4, using as above any one of technical solution the method
Or device distinguishes identification to concave-convex defect and radian, obtains defect geometry lines and normal geometry lines;
S5:Calculate the geometry threshold values of the defect geometry lines;
S6:By the geometry threshold values for the defect geometry lines being calculated and the geometry of the actual defects of examined workpiece
Value is matched, and after the completion of matching, calculates the location information of the defect geometry lines.The location information being calculated is existed
Visualization presentation is carried out on display screen, such as the location A, B location and location of C of the mark in Fig. 3.
Remaining technical characteristic in the present embodiment, those skilled in the art can flexibly be selected according to actual conditions
With with to meet different specific actual demands.It will be apparent, however, to one skilled in the art that:It need not use
These specific details carry out the present invention.In other instances, in order to avoid obscuring the present invention, well known calculation is not specifically described
Method, method or system etc. are limited in the claimed technical solution of claims of the present invention within technical protection scope.
【Example IV】
Those skilled in the art can implement using the present invention as a kind of automobile exterior panel face quality defect detecting system,
Including light supply apparatus, image collecting device, image processing module, concave-convex defect recognition module, geometry threshold calculations program module,
Matching module and position calculation procedure module, the concave-convex defect recognizing device include curvature estimation program module and/or
Adjacent position calculation procedure module, the curvature estimation program module are used to calculate the song of each test point test point adjacent thereto
The variable quantity of rate, the adjacent position calculation procedure module are used to calculate the relative position of each test point test point adjacent thereto
Variable quantity.
The light supply apparatus is for irradiating examined workpiece, and mounted on the top or oblique upper of examined workpiece, by
It detects and hot spot is formed on the examined face of workpiece, described image harvester is used to receive the image information of the hot spot, and will
The image information of reception is transmitted to image processing module and carries out binary image processing, and described image processing module is arranged on calculating
In machine, concave-convex defect recognition module is additionally provided in the computer, the bumps defect recognition module is used for two-value
Change that treated that information is parsed, can Division identification bumps defect and radian, obtain defect geometry lines and normal geometry
Lines, the geometry threshold calculations program module are used to calculate the geometry threshold value of the defect geometry lines, the matching module
For the geometry threshold values of geometry lines the defects of being calculated to be matched with the geometry value of the actual defects of examined workpiece,
After the completion of matching, the position calculation procedure module is used to calculate the location information of the defect geometry lines.
Such as Fig. 2, those skilled in the art can implement technical scheme of the present invention according to specific actual demand, for example,
According to laser 1, camera lens 4 and ccd sensor 5 is installed shown in Fig. 2 successively, the table of examined workpiece 3 is irradiated using laser 1
Face on the surface of examined workpiece 3 there are convex defect launch point 21, normal transmission point 22 and concave defect launch point 23, passes through
The adjustable focal length 6 of camera lens 4 and ccd sensor 5, convex flaw indication 211 and concave defect signal 233 are exported by ccd sensor 5.
Those skilled in the art can also be used planar laser and workpiece be irradiated as light supply apparatus, and industrial camera can also be used to light
Spot information is acquired, and details are not described herein again.Remaining technical characteristic in the present embodiment, those skilled in the art can be with
According to actual conditions flexibly select and to meet different specific actual demands.However, for ordinary skill people
Member it is evident that:The present invention need not be carried out using these specific details.In other instances, in order to avoid obscuring this hair
It is bright, well known algorithm, method or system etc., in the claimed technical solution of claims of the present invention are not specifically described
It limits within technical protection scope, details are not described herein again.
In the description of the present invention unless specifically defined or limited otherwise, term " setting ", " installation ", " connected ",
" connection " is broader sense, and those skilled in the art should broadly understood.For example, it may be it is fixedly connected or lives
Dynamic connection is entirely connected or partly connects, and can be mechanical connection or electric connection, can be direct phase
It is indirectly connected with even or by intermediary, connection inside two elements etc. is can also be, for the technology of this field
For personnel, can understand the concrete meaning of above-mentioned term in the present invention as the case may be, that is, the expression of word language with
The implementation of actual techniques can be corresponded to flexibly, and the expression of the word language (including attached drawing) of specification of the invention is not formed to power
Any restrictions of profit requirement are explained.
Technical solution being not limited in any way property explanation of the topic of the specification of the present invention to the claim of the present invention,
It is only the statement of one or more of embodiments of the present invention.The invention is not limited in aforementioned specific embodiment parties
Formula, the present invention extend to any new feature disclosed in the present specification or any new combination and disclose any new
Method or mistake the step of or any new combination.
One of ordinary skill in the art will appreciate that realizing all or part of flow in the method in above-described embodiment, it is
Relevant hardware can be instructed to complete by computer program, the program can be stored in computer-readable storage and be situated between
In matter, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be
Magnetic disc, CD, ROM, RAM etc..For aforementioned each embodiment of the method, in order to be briefly described, therefore it is all expressed as to a system
The combination of actions of row, but those skilled in the art should know, the present invention is not limited by described sequence of movement, because
For according to the present invention, certain some step may be used other sequences or be carried out at the same time.Secondly, those skilled in the art also should
Know, embodiment described in this description belongs to preferred embodiment, involved action and unit not necessarily this hair
Necessary to bright.
Those skilled in the art combine each exemplary unit and algorithm steps of the embodiments described herein description, energy
It is enough to be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually with hardware or software
Mode performs, specific application and design constraint depending on technical solution.Professional technician can be to each specific
Application come use distinct methods realize described function, but it is this realization should not exceed the scope of the present invention.
In several embodiments provided by the present invention, it should be understood that disclosed system, module and method, it can be with
It realizes by another way.For example, device embodiment described above is only illustrative, for example, the module is drawn
Point, it can only be a kind of division of logic function, can there is other dividing mode, such as multiple module or components in actual implementation
It may be combined or can be integrated into another system or some features can be ignored or does not perform.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed is it may be said that by some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical, machinery or other forms.The unit that the discrete parts illustrates can be or also may be used
Physically separate not receive, the component shown as unit can be or can not receive physical unit, you can be located at one
A place, which can also be either distributed in multiple network element, can select according to the actual needs part therein or complete
Portion's unit realizes the purpose of the present embodiment.In addition, each functional unit in each embodiment of the present invention can be integrated in one
In a processing unit or each unit is individually physically present, can also two or more units be integrated in one
In unit.
If the function is realized in the form of SFU software functional unit and is independent product sale or in use, can be with
It is stored in a computer readable storage medium.Based on such understanding, technical scheme of the present invention is substantially right in other words
The part or the part of the technical solution that the prior art contributes can be embodied in the form of software product, the calculating
Machine software product is stored in a storage medium, is used including some instructions so that a computer equipment (can be personal
Computer, server or network equipment etc.) perform all or part of the steps of the method according to each embodiment of the present invention.And
Aforementioned storage medium includes:USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory
The various media that can store program code such as device (RandomAccess Memory, RAM), magnetic disc or CD.
The above is only the preferred embodiment of the present invention, it should be understood that the present invention is not limited to described herein
Form is not to be taken as the exclusion to other embodiment, and available for other combinations, modifications, and environments, and can be at this
In the text contemplated scope, modifications can be made through the above teachings or related fields of technology or knowledge.And those skilled in the art institute into
Capable modifications and changes do not depart from the spirit and scope of the present invention, then all should be in the protection domain of appended claims of the present invention
It is interior.
Claims (10)
1. a kind of recognition methods of the concave-convex defect of the cambered workpiece of band, which is characterized in that including one to concave-convex defect with
Radian distinguishes the step of identification, in this step, identifying processing is distinguished to the image data with cambered workpiece,
Further comprise following steps:
The change of the relative position of each test point test point adjacent thereto is turned to concave-convex defect and radian described in Division identification
The first foundation;Or
The change of the curvature of each test point test point adjacent thereto is turned to described in Division identification the of concave-convex defect and radian
Two foundations.
2. a kind of recognition methods of the concave-convex defect of the cambered workpiece of band, which is characterized in that including one to concave-convex defect with
Radian distinguishes the step of identification, in this step, identifying processing is distinguished to the image data with cambered workpiece,
Further comprise following steps:
(1) change of the relative position of each test point test point adjacent thereto is turned to concave-convex defect and arc described in Division identification
The third foundation of degree;With
(2) change of the curvature of each test point test point adjacent thereto is turned to described in Division identification concave-convex defect and radian
4th foundation.
3. a kind of recognition methods of the concave-convex defect of the cambered workpiece of band, which is characterized in that including one to concave-convex defect with
Radian distinguishes the step of identification, in this step, identifying processing is distinguished to the image data with cambered workpiece,
Further comprise following steps:
(1) change of the curvature of each test point test point adjacent thereto is turned to described in Division identification concave-convex defect and radian
5th foundation;With
(2) change of the relative position of each test point test point adjacent thereto is turned to concave-convex defect and arc described in Division identification
6th foundation of degree.
4. according to the recognition methods described in any one of claim 1,2 and 3, which is characterized in that including an acquisition step,
It in the step, is scanned using the surface of the image-scanning device workpiece cambered to the band, which is used to obtain
Take the image data with cambered workpiece.
5. recognition methods according to claim 4, which is characterized in that the acquisition step is cambered for acquiring the band
Workpiece 3 d image data.
6. a kind of identification device of the concave-convex defect of the cambered workpiece of band, which is characterized in that including image data acquiring device,
Image data processor device, readable storage medium storing program for executing and the program that can be run in described image data processor means,
Described program includes curvature estimation program module and/or adjacent position calculation procedure module;
Described image data acquisition device is connect with described image data processor means, described image data processor means with
Readable storage medium storing program for executing connects, and the curvature estimation program module is used to calculate the curvature of each test point test point adjacent thereto
Variable quantity, the adjacent position calculation procedure module are used to calculate the change of the relative position of each test point test point adjacent thereto
Change amount.
7. a kind of identification device according to claim 6, which is characterized in that described image scanning means includes 3-D view
Scanning means is scanned using the surface of the 3-D view scanning means workpiece cambered to the band, which uses
In image data of the acquisition with cambered workpiece.
8. a kind of automobile exterior panel face quality defect detection method, which is characterized in that including step:
S1:The surface of examined workpiece is irradiated with light supply apparatus, linear hot spot is formed on the surface of examined workpiece;
S2:The two-dimensional image information of linear hot spot described in image acquisition device;
S3:Binary conversion treatment is carried out to the two-dimensional image information of acquisition, obtains geometry lines;
S4:The geometry lines are parsed, in step s 4, using as above any one of claim the method or dress
It puts and identification is distinguished to concave-convex defect and radian, obtain defect geometry lines and normal geometry lines;
S5:Dynamic calculates the geometry threshold values of the defect geometry lines;
S6:By the geometry value of the geometry threshold values for the defect geometry lines being calculated and the actual defects of examined workpiece into
Row matching, after the completion of matching, calculates the location information of the defect geometry lines;Or
Cycle performs step S1~S6, for workpiece examined described in dynamic detection.
9. detection method according to claim 8, it is characterised in that:In step s 2, from 45 degree of examined workpiece
Side is directed at examined workpiece and acquires the two-dimensional image information.
10. a kind of automobile exterior panel face quality defect detecting system, which is characterized in that including light supply apparatus, image collecting device, figure
Picture processing module, concave-convex defect recognition module, geometry threshold calculations program module, matching module and position calculation procedure module,
Include curvature estimation program module and/or adjacent position calculation procedure module, the song in the concave-convex defect recognizing device
Rate calculation procedure module is used to calculate the variable quantity of the curvature of each test point test point adjacent thereto, and the adjacent position calculates
Program module is used to calculate the variable quantity of the relative position of each test point test point adjacent thereto;The light supply apparatus is used to shine
Examined workpiece is penetrated, and mounted on the top or oblique upper of examined workpiece, light is formed on the examined face of examined workpiece
Spot, described image harvester are used to receive the image information of the hot spot, and the image information of reception is transmitted at image
It manages module and carries out binary image processing, the image processing module is set in a computer, in the computer also
Concave-convex defect recognition module is provided with, the bumps defect recognition module is used to parse the information after binary conversion treatment,
Can Division identification bumps defect and radian, obtain defect geometry lines and normal geometry lines, the geometry threshold calculations journey
Sequence module is used to calculate the geometry threshold value of the defect geometry lines, and the matching module is for the defects of being calculated geometry
The geometry threshold values of lines is matched with the geometry value of the actual defects of examined workpiece, after the completion of matching, the position meter
Calculate the location information that program module is used to calculate the defect geometry lines.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711403733.XA CN108181320A (en) | 2017-12-22 | 2017-12-22 | Surface Flaw identification, the method, apparatus and system of detection |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711403733.XA CN108181320A (en) | 2017-12-22 | 2017-12-22 | Surface Flaw identification, the method, apparatus and system of detection |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108181320A true CN108181320A (en) | 2018-06-19 |
Family
ID=62546689
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711403733.XA Pending CN108181320A (en) | 2017-12-22 | 2017-12-22 | Surface Flaw identification, the method, apparatus and system of detection |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108181320A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109507371A (en) * | 2018-12-21 | 2019-03-22 | 仪征申威冲压有限公司 | A kind of quantitative judge and evaluation method of body of a motor car outer covering piece surface quality |
CN111537517A (en) * | 2020-05-18 | 2020-08-14 | 江汉大学 | Unmanned intelligent stamping defect identification method |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010071694A (en) * | 2008-09-16 | 2010-04-02 | Ricoh Co Ltd | Surface inspection apparatus, defect detecting method using the same, program, and recording medium |
CN101711354A (en) * | 2007-03-28 | 2010-05-19 | Soi科技公司 | Method for detecting surface defects on a substrate and device using said method |
CN103487441A (en) * | 2013-09-24 | 2014-01-01 | 电子科技大学 | Method for defect detection and surface measurement of silicon wafer |
CN204758502U (en) * | 2012-05-01 | 2015-11-11 | 苹果公司 | Lens test system |
CN106705897A (en) * | 2016-12-23 | 2017-05-24 | 电子科技大学 | Arc-shaped glass panel defect detecting method used for curved surface electronic display screen |
-
2017
- 2017-12-22 CN CN201711403733.XA patent/CN108181320A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101711354A (en) * | 2007-03-28 | 2010-05-19 | Soi科技公司 | Method for detecting surface defects on a substrate and device using said method |
JP2010071694A (en) * | 2008-09-16 | 2010-04-02 | Ricoh Co Ltd | Surface inspection apparatus, defect detecting method using the same, program, and recording medium |
CN204758502U (en) * | 2012-05-01 | 2015-11-11 | 苹果公司 | Lens test system |
CN103487441A (en) * | 2013-09-24 | 2014-01-01 | 电子科技大学 | Method for defect detection and surface measurement of silicon wafer |
CN106705897A (en) * | 2016-12-23 | 2017-05-24 | 电子科技大学 | Arc-shaped glass panel defect detecting method used for curved surface electronic display screen |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109507371A (en) * | 2018-12-21 | 2019-03-22 | 仪征申威冲压有限公司 | A kind of quantitative judge and evaluation method of body of a motor car outer covering piece surface quality |
CN111537517A (en) * | 2020-05-18 | 2020-08-14 | 江汉大学 | Unmanned intelligent stamping defect identification method |
CN111537517B (en) * | 2020-05-18 | 2022-12-13 | 江汉大学 | Unmanned intelligent stamping defect identification method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102221556B (en) | Device and method for online detection on appearance defect of minitype connecting part based on machine vision | |
US8638984B2 (en) | Display of results of a measurement of workpieces as a function of the detection of the gesture of a user | |
EP1991946B1 (en) | Approaches and apparatus for eye detection in a digital image | |
CN105066915B (en) | Mould camber processing error and surface roughness On-machine Test device and detection method | |
CN108154508A (en) | Method, apparatus, storage medium and the terminal device of product defects detection positioning | |
CN100394147C (en) | Water level meter with digital video frequency | |
CN106441107B (en) | Rail wear automatic testing method | |
CN101221134A (en) | Method and device for detecting tiny bearing surface defect by computer vision technology | |
CN108128323B (en) | The selection method of laser image characteristic quantity relevant to rail wear amount | |
Peng et al. | Application of machine vision method in tool wear monitoring | |
Barreiro et al. | Use of descriptors based on moments from digital images for tool wear monitoring | |
CN108582075A (en) | A kind of intelligent robot vision automation grasping system | |
CN106290392A (en) | A kind of little micro-bearing surface pitting defects online test method and system thereof | |
CN110146019A (en) | A kind of workpiece size on-line checking and automatic compensating method based on industrial camera | |
US9613328B2 (en) | Workflow monitoring and analysis system and method thereof | |
CN108181320A (en) | Surface Flaw identification, the method, apparatus and system of detection | |
CN201141839Y (en) | Device for detecting tiny bearing surface defect by computer vision technology | |
CN110096980A (en) | Character machining identifying system | |
CN109945955A (en) | A kind of water meter vision online test method and its system | |
CN113222955A (en) | Gear size parameter automatic measurement method based on machine vision | |
CN103870814A (en) | Non-contact real-time eye movement identification method based on intelligent camera | |
CN104748684B (en) | Visual detection method and device for crankshaft shoulder back chipping | |
CN108764105A (en) | Assembly line workpiece identification method, server and terminal | |
CN104169960A (en) | Operation support system, operation support device, operation support method and program | |
CN109253701A (en) | Pig carcass back-fat thickness laser detection system and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180619 |
|
RJ01 | Rejection of invention patent application after publication |