CN109822564A - A kind of construction method of vision system - Google Patents
A kind of construction method of vision system Download PDFInfo
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- CN109822564A CN109822564A CN201910032592.8A CN201910032592A CN109822564A CN 109822564 A CN109822564 A CN 109822564A CN 201910032592 A CN201910032592 A CN 201910032592A CN 109822564 A CN109822564 A CN 109822564A
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Abstract
The present invention provides a kind of construction methods of vision system, it is compared with the prior art, the design that this method is standardized by each functional module to vision system, so that the function of vision system is more diversified, vision system is enhanced to the adaptability of external environment, make it can be applied to identify different workpiece, while also reducing the technical level requirement of user.
Description
Technical field
The present invention relates to vision system technical field more particularly to a kind of construction methods of vision system.
Background technique
Vision system be replaced using video camera and software human eye make automation equipment possess similar to the mankind that
The function of decision is split, classified, identifying, tracking, differentiating to target.
Currently, the vision system that cooperation industrial robot uses is used for the spy both for the customed product of certain workpiece
Determine the identification of workpiece, the development cycle is long, has a single function, not strong to the adaptability of external environment；After replacing workpiece, need to light
Lighting system, camera calibration, template Processing Algorithm, communication interface, parameter setting and image processing method carry out larger change, come
Adapt to the new features of new workpiece.The update for having seriously affected consumer product in this way does not meet the technical requirements of intelligence manufacture,
Constrain the popularization and application of vision system.Moreover, camera calibration, template matching, the pattern measurement etc. of most of vision system do not have
Have to form the module of standard, height is required to the technical level of user, thus implements highly difficult, and efficiency is extremely low.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of construction method of vision system, the view that this method constructs
Feel system function multiplicity, it is strong to the strong ability of the adaptation of external environment, it can be applied to identify different workpiece, to reduce use
The technical level requirement of person.
Based on this, the present invention provides a kind of construction method of vision system, includes the following steps:
Standardized parameter setting module is developed, for system parameter and tool parameters to be arranged；
Standardized data acquisition module is developed, for acquiring image data, nominal data and template data；
Standardized data management module is developed, for data storage, data edition and data conversion；
Standardized data processing module is developed, for image data optimization, template data processing and detection data analysis；
Standardized data communication module is developed, for communicating between inside modules communication, each inter-module communication and each system；
Standardized software tool pack is developed, for realizing specific function.
In the construction method of above-mentioned vision system, the step of exploitation standardized parameter setting module, includes:
It is external trigger that camera, which is arranged, to trigger mode, locks trigger source and triggering polarity, and the time for exposure is arranged and exposure increases
Benefit is median, and setting white balance adjusting is automatic mode, the parameter set is made into standalone module, module reserves light source
Adjusting is divided into 10 grades by brightness regulation interface, and the number of input 0~10 is to realize the different-effect taken pictures.
In the construction method of above-mentioned vision system, the step of exploitation standardized data acquisition module, includes:
The data acquisition interface of different cameral is placed on lower layer, search function is write on upper layer, realizes hardware traversal, while basis
Camera type calls corresponding acquisition interface, and the Image Acquisition output interface of standard is then done on upper layer；
Import 13 7 × 7 gridiron pattern uncalibrated images, by calculating tessellated intersection point, seek camera internal reference and outer ginseng,
Calibration result is made into the function of standard, there are image input interfaces and calibration result output interface；
Template creation function is established according to the breadth length ratio of template image, compactness, plumpness, circularity.
In the construction method of above-mentioned vision system, the step of exploitation standardized data management module, includes:
Image, the data store organisations such as creation feature class, template class, graphics class are stored using standard IplImage structure；
Inside modules image storage structure is unified, there are output different-format image interface between module, including HImage, CvMat,
Byte[]；
Module provides Image geometry transform, selection, duplication interface, while the processing of ROI being increased in standard module, mentions
The data-interface needed for other modules.
In the construction method of above-mentioned vision system, the step of exploitation standardized data processing module, includes:
Before placing examined workpiece, acquisition testing background image, filtering background and reduction light source for detection image are not
The influence uniformly generated；
The universal performance for extracting template processing, realizes the standardization of external interface, the different type within the scope of certain volume
Workpiece can use identical algorithm to realize identification.
In the construction method of above-mentioned vision system, the step of exploitation standardized data communication module, includes:
Inside modules use same variable；
Each inter-module communication is communicated by the way of common memory, improves treatment effeciency, and all data use BYTE
Type storage；
For different automation equipments, on the basis of the ICP/IP protocol of standard, specific function is extended, not for compatibility
Same data interactive mode.
In the construction method of above-mentioned vision system, the step of exploitation standardized software tool pack, includes:
Develop color extraction tool, dimensional measurement tool, function correction tool, Fuzzy Processing tool, Defect Detection tool,
One of barcode scan engines, character recognition tools, edge strengthening tool, real time differential tool, data statistics tool are several
Kind；
Different tools can be combined arbitrarily.
The implementation of the embodiments of the present invention has the following beneficial effects:
The present invention provides a kind of construction methods of vision system, compared with the prior art, this method passes through to vision system
The design that each functional module of system is standardized enhances vision system pair so that the function of vision system is more diversified
The adaptability of external environment makes it can be applied to identify different workpiece, while the technical level for also reducing user is wanted
It asks.
Detailed description of the invention
Fig. 1 is the structure chart of the vision system of the embodiment of the present invention.
Specific embodiment
The attached drawing in the embodiment of the present invention will be engaged below, technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
The embodiment of the present invention provides a kind of construction method of vision system shown in FIG. 1, includes the following steps:
S1 develops standardized parameter setting module, for system parameter and tool parameters to be arranged.Specifically, setting
It is external trigger that camera, which triggers mode, locks trigger source and triggering polarity, and the time for exposure is arranged and exposure gain is median, if
Setting white balance adjusting is automatic mode, and the parameter set is made into standalone module, and module reserves light-source brightness and adjusts interface,
Adjusting is divided into 10 grades, the number of input 0~10 is to realize the different-effect taken pictures.
S2 develops standardized data acquisition module, for acquiring image data, nominal data and template data.Specifically
For, the data acquisition interface of different cameral is placed on lower layer, search function is write on upper layer, realizes hardware traversal, while according to phase
Machine type calls corresponding acquisition interface, and the Image Acquisition output interface of standard is then done on upper layer；Import 13 7 × 7 chessboards
Lattice uncalibrated image, by calculating tessellated intersection point, seek camera internal reference and outer ginseng, calibration result is made into the letter of standard
Number, there are image input interfaces and calibration result output interface；According to the breadth length ratio of template image, compactness, plumpness, circle
Degree establishes template creation function.
S3 develops standardized data management module, for data storage, data edition and data conversion.Specifically,
Image, the data store organisations such as creation feature class, template class, graphics class are stored using standard IplImage structure；Inside modules
Image storage structure is unified, and there are output different-format image interfaces, including HImage, CvMat, Byte [] between module；Mould
Block provides Image geometry transform, selection, duplication interface, while the processing of ROI being increased in standard module, provides other modules
The data-interface needed.
S4 develops standardized data processing module, for image data optimization, template data processing and detection data point
Analysis.Specifically, before placing examined workpiece, acquisition testing background image, filtering background and reduction light for detection image
The influence that source unevenly generates；The universal performance for extracting template processing, realizes the standardization of external interface, within the scope of certain volume
Different type workpiece, can use identical algorithm realize identification.
S5 develops standardized data communication module, for leading between inside modules communication, each inter-module communication and each system
News.Specifically, inside modules use same variable；Each inter-module communication is communicated by the way of common memory, raising processing
Efficiency, and all data are stored using BYTE type；For different automation equipments, on the ICP/IP protocol basis of standard
On, specific function is extended, for being compatible with different data interactive modes.
S6 develops standardized software tool pack, for realizing specific function.Specifically, exploitation color extraction tool,
Dimensional measurement tool, function correction tool, Fuzzy Processing tool, Defect Detection tool, barcode scan engines, character recognition work
One or more of tool, edge strengthening tool, real time differential tool, data statistics tool；Different tools can be appointed
The combination of meaning.
To sum up, the embodiment of the invention provides a kind of construction methods of vision system, compared with the prior art, this method is logical
The design for being standardized each functional module of vision system is crossed to enhance so that the function of vision system is more diversified
Vision system makes it can be applied to identify different workpiece the adaptability of external environment, while also reducing user's
Technical level requirement.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principle of the present invention, several improvement and deformations can also be made, these improvement and deformations are also considered as
Protection scope of the present invention.
Claims (7)
1. a kind of construction method of vision system, which comprises the steps of:
Standardized parameter setting module is developed, for system parameter and tool parameters to be arranged；
Standardized data acquisition module is developed, for acquiring image data, nominal data and template data；
Standardized data management module is developed, for data storage, data edition and data conversion；
Standardized data processing module is developed, for image data optimization, template data processing and detection data analysis；
Standardized data communication module is developed, for communicating between inside modules communication, each inter-module communication and each system；
Standardized software tool pack is developed, for realizing specific function.
2. the construction method of vision system according to claim 1, which is characterized in that the standardized parameter of exploitation is set
The step of setting module include:
It is external trigger that camera, which is arranged, to trigger mode, locks trigger source and triggering polarity, the time for exposure is arranged and exposure gain is
Median, setting white balance adjusting are automatic mode, the parameter set are made into standalone module, module reserves light-source brightness
Interface is adjusted, adjusting is divided into 10 grades, the number of input 0~10 is to realize the different-effect taken pictures.
3. the construction method of vision system according to claim 1, which is characterized in that the standardized data of exploitation are adopted
Collect module the step of include:
The data acquisition interface of different cameral is placed on lower layer, search function is write on upper layer, realizes hardware traversal, while according to camera
Type calls corresponding acquisition interface, and the Image Acquisition output interface of standard is then done on upper layer；
Import 13 7 × 7 gridiron pattern uncalibrated images, by calculating tessellated intersection point, seek camera internal reference and outer ginseng, will mark
Determine the function that result is made into standard, there are image input interfaces and calibration result output interface；
Template creation function is established according to the breadth length ratio of template image, compactness, plumpness, circularity.
4. the construction method of vision system according to claim 1, which is characterized in that the standardized data pipe of exploitation
Manage module the step of include:
Image, the data store organisations such as creation feature class, template class, graphics class are stored using standard IplImage structure；Module
Internal image storage organization is unified, and there are output different-format image interfaces, including HImage, CvMat, Byte between module
[]；
Module provides Image geometry transform, selection, duplication interface, while the processing of ROI being increased in standard module, provides it
The data-interface that his module needs.
5. the construction method of vision system according to claim 1, which is characterized in that at the standardized data of exploitation
Manage module the step of include:
Place examined workpiece before, acquisition testing background image, for detection image filtering background and reduce light source it is uneven
The influence of generation；
The universal performance for extracting template processing, realizes the standardization of external interface, the different type workpiece within the scope of certain volume,
Identical algorithm can be used to realize identification.
6. the construction method of vision system according to claim 1, which is characterized in that the standardized data of exploitation are logical
Interrogate module the step of include:
Inside modules use same variable；
Each inter-module communication is communicated by the way of common memory, improves treatment effeciency, and all data use BYTE type
Storage；
For different automation equipments, on the basis of the ICP/IP protocol of standard, specific function is extended, it is different for being compatible with
Data interactive mode.
7. the construction method of vision system according to claim 1, which is characterized in that the standardized software work of exploitation
Having the step of wrapping includes:
Develop color extraction tool, dimensional measurement tool, function correction tool, Fuzzy Processing tool, Defect Detection tool, bar code
One or more of scanning tools, character recognition tools, edge strengthening tool, real time differential tool, data statistics tool；
Different tools can be combined arbitrarily.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112139997A (en) * | 2019-06-27 | 2020-12-29 | 宝山钢铁股份有限公司 | Method for inhibiting ambient light in round steel grinding quality detection system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2403161A1 (en) * | 1973-02-28 | 1974-08-29 | Sonotone Corp | HOERGERAET |
| CN104951782A (en) * | 2015-07-01 | 2015-09-30 | 携程计算机技术（上海）有限公司 | Background filtering method and system for image recognition |
| CN106845163A (en) * | 2017-03-14 | 2017-06-13 | 广东尚菱视界科技有限公司 | A kind of establishing method of general vision detecting system |
| CN107139003A (en) * | 2017-06-27 | 2017-09-08 | 巨轮（广州）机器人与智能制造有限公司 | Modularization vision system preparation method |
| US20180286075A1 (en) * | 2015-03-31 | 2018-10-04 | Thermal Imaging Radar, LLC | Setting Different Background Model Sensitivities by User Defined Regions and Background Filters |
-
2019
- 2019-01-14 CN CN201910032592.8A patent/CN109822564B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2403161A1 (en) * | 1973-02-28 | 1974-08-29 | Sonotone Corp | HOERGERAET |
| US20180286075A1 (en) * | 2015-03-31 | 2018-10-04 | Thermal Imaging Radar, LLC | Setting Different Background Model Sensitivities by User Defined Regions and Background Filters |
| CN104951782A (en) * | 2015-07-01 | 2015-09-30 | 携程计算机技术（上海）有限公司 | Background filtering method and system for image recognition |
| CN106845163A (en) * | 2017-03-14 | 2017-06-13 | 广东尚菱视界科技有限公司 | A kind of establishing method of general vision detecting system |
| CN107139003A (en) * | 2017-06-27 | 2017-09-08 | 巨轮（广州）机器人与智能制造有限公司 | Modularization vision system preparation method |
Non-Patent Citations (1)
| Title |
|---|
| 王志喜等主编: "《计算机图形图像技术》", 31 January 2018, 徐州：中国矿业大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112139997A (en) * | 2019-06-27 | 2020-12-29 | 宝山钢铁股份有限公司 | Method for inhibiting ambient light in round steel grinding quality detection system |
| CN112139997B (en) * | 2019-06-27 | 2021-10-19 | 宝山钢铁股份有限公司 | Method for inhibiting ambient light in round steel grinding quality detection system |
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