CN108663382A - The method and device of the paper surface defects detection of view-based access control model conspicuousness - Google Patents
The method and device of the paper surface defects detection of view-based access control model conspicuousness Download PDFInfo
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- CN108663382A CN108663382A CN201810442982.8A CN201810442982A CN108663382A CN 108663382 A CN108663382 A CN 108663382A CN 201810442982 A CN201810442982 A CN 201810442982A CN 108663382 A CN108663382 A CN 108663382A
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- 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
- G01N21/956—Inspecting patterns on the surface of objects
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Abstract
The invention discloses a kind of method, apparatus of the paper surface defects detection of view-based access control model conspicuousness, equipment, readable storage medium storing program for executing, including：Acquire the surface image of paper to be detected；After being pre-processed to the surface image of the paper to be detected, the notable figure of the surface image is obtained；Using dynamic threshold segmentation method to the notable figure into row threshold division, in order to extract the marking area feature of the notable figure, to calculate the characteristic area area of the notable figure；According to the comparison result of the characteristic area area and default defect area threshold value, judge that the paper to be detected whether there is defect.Method, apparatus provided by the present invention, equipment, readable storage medium storing program for executing, improve the efficiency and accuracy of paper surface quality testing.
Description
Technical field
The present invention relates to paper surface detection technique fields, more particularly to a kind of paper surface of view-based access control model conspicuousness
Method, apparatus, equipment and the readable storage medium storing program for executing of defects detection.
Background technology
Since there are many type for being likely to occur paper defects in the production of paper, such as mosquito, stain, stain, broken hole, paper pulp
The problems such as block, paper pulp point, therefore the defects detection of paper surface is critically important for the quality control of many production processes.
The method of traditional artificial sampling detection paper surface quality, inefficiency, it is easy to cause missing inspection, flase drop,
Through being unsatisfactory for the needs quickly produced.
In summary as can be seen that how to improve the efficiency of paper surface detection and accuracy is to have to be solved ask at present
Topic.
Invention content
The object of the present invention is to provide a kind of method, apparatus of the paper surface defects detection of view-based access control model conspicuousness, set
Standby and computer readable storage medium is asked with solving the inefficiency of artificial detection paper surface quality in the prior art
Topic.
In order to solve the above technical problems, the present invention provides a kind of side of the paper surface defects detection of view-based access control model conspicuousness
Method, including：Acquire the surface image of paper to be detected；After being pre-processed to the surface image of the paper to be detected, obtain
The notable figure of the surface image；Using dynamic threshold segmentation method to the notable figure into row threshold division, in order to extract
The marking area feature for stating notable figure, to calculate the characteristic area area of the notable figure；According to the characteristic area area
With the comparison result of default defect area threshold value, judge that the paper to be detected whether there is defect.
Preferably, it after the surface image to the paper to be detected pre-processes, obtains and calculates the surface image
Notable figure include：It is notable using vision after being pre-processed to the surface image of the paper to be detected using mean filter
Property model obtains the notable figure of the surface image.
Preferably, described to utilize dynamic threshold segmentation method to the notable figure into row threshold division, it is described in order to extract
The marking area feature of notable figure, the characteristic area area to calculate the notable figure include：Utilize the dynamic of halcon algorithms
State Threshold Segmentation Algorithm carries out Fast Threshold segmentation to the notable figure；The marking area feature of notable figure after extraction segmentation,
The marking area is characterized as the defect characteristic of the paper to be detected, calculates the area S of the defect characteristic.
Preferably, the comparison result according to the characteristic area area and default defect area threshold value, described in judgement
Paper to be detected includes with the presence or absence of defect：
Defect area threshold value S is set according to preset paper surface quality requirementt,
Compare S and StSize, obtain the judgement result of the paper to be detected：
Wherein, R=0 indicates that the paper zero defect to be detected, R=1 indicate the paper existing defects to be detected.
Preferably, the surface image of the acquisition paper to be detected includes：The table of paper to be detected is acquired using CCD camera
Face image.
The present invention also provides a kind of devices of the paper surface defects detection of view-based access control model conspicuousness, including：
Acquisition module：Surface image for acquiring paper to be detected；
Preprocessing module：After being pre-processed for the surface image to the paper to be detected, the exterior view is obtained
The notable figure of picture；
Extraction module：For utilizing dynamic threshold segmentation method to the notable figure into row threshold division, in order to extract
The marking area feature for stating notable figure, to calculate the characteristic area area of the notable figure；
Judgment module：For the comparison result according to the characteristic area area and default defect area threshold value, institute is judged
It states paper to be detected and whether there is defect.
Preferably, the preprocessing module is specifically used for：Using mean filter to the surface image of the paper to be detected
After being pre-processed, the notable figure of the surface image is obtained using vision significance model.
Preferably, described to utilize dynamic threshold segmentation method to the notable figure into row threshold division, it is described in order to extract
The marking area feature of notable figure, the characteristic area area to calculate the notable figure include：Utilize the dynamic of halcon algorithms
State Threshold Segmentation Algorithm carries out Fast Threshold segmentation to the notable figure；The marking area feature of notable figure after extraction segmentation,
The marking area is characterized as the defect characteristic of the paper to be detected, calculates the area S of the defect characteristic.
The present invention also provides a kind of equipment of the paper surface defects detection of view-based access control model conspicuousness, including：
Memory, for storing computer program；Processor realizes above-mentioned one kind when for executing the computer program
The step of method of the paper surface defects detection of view-based access control model conspicuousness.
The present invention also provides a kind of computer readable storage medium, meter is stored on the computer readable storage medium
Calculation machine program, the computer program realize a kind of paper surface defect of above-mentioned view-based access control model conspicuousness when being executed by processor
The step of method of detection.
The method of the paper surface defects detection of view-based access control model conspicuousness provided by the present invention, utilizes vision significance mould
Type handles the surface image of collected paper to be detected, obtains the notable of the surface image of the paper to be detected
Figure；Using dynamic threshold segmentation method to the notable figure into row threshold division, to which the marking area for extracting the notable figure is special
Sign, to calculate the notable figure characteristic area area；And the area of the characteristic area and default defect area
The size of threshold value judges the paper to be detected when the area of the characteristic area is more than the default defect area threshold value
Surface existing defects.
Vision significance model be imitate the mankind vision noticing mechanism establishes, human eye have powerful image understanding with
Recognition capability can also rapidly and accurately perceive target object even under extremely complex environment；When magnanimity visual information
Into human eye, vision system selects specific part in scene information further to analyze according to mission requirements, and it is uncorrelated to ignore remaining
Visual information.Paper surface defect inspection method provided by the present invention carries out paper surface using vision significance model
Detection, substantially increases the efficiency and accuracy of paper surface quality testing.
Description of the drawings
It, below will be to embodiment or existing for the clearer technical solution for illustrating the embodiment of the present invention or the prior art
Attached drawing is briefly described needed in technology description, it should be apparent that, the accompanying drawings in the following description is only this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 be the method for the paper surface defects detection of view-based access control model conspicuousness provided by the present invention the first is specific
The flow chart of embodiment；
Fig. 2 is that second of the method for the paper surface defects detection of view-based access control model conspicuousness provided by the present invention is specific
The flow chart of embodiment；
Fig. 3 is a kind of knot of the device of the paper surface defects detection of view-based access control model conspicuousness provided in an embodiment of the present invention
Structure block diagram.
Specific implementation mode
Core of the invention is to provide a kind of method, apparatus of the paper surface defects detection of view-based access control model conspicuousness, sets
Standby and computer readable storage medium improves the efficiency and accuracy of paper surface quality testing.
The method of traditional artificial sampling detection paper surface quality, inefficiency, it is easy to cause missing inspection, flase drop,
Through being unsatisfactory for the needs quickly produced.
Human eye has powerful image understanding and recognition capability, even under extremely complex environment, it can also be quick
Accurately perceive target object.When magnanimity visual information enters human eye, vision system is selected according to mission requirements in scene information
Specific part is further analyzed, remaining incoherent visual information is ignored.The present invention builds the vision noticing mechanism for imitating the mankind
Vertical vision significance model use is with the efficiency in paper quality detection, substantially increasing paper surface quality testing and accurately
Property.
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiments are only a part of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, shall fall within the protection scope of the present invention.
Referring to FIG. 1, Fig. 1 is the method for the paper surface defects detection of view-based access control model conspicuousness provided by the present invention
The flow chart of the first specific embodiment；
Concrete operation step is as follows：
Step S101：Acquire the surface image of paper to be detected；
In the present embodiment, CCD camera can be utilized to acquire the surface image of paper to be detected.
Step S102：After being pre-processed to the surface image of the paper to be detected, the aobvious of the surface image is calculated
Write figure；
Step S103：It is described aobvious in order to extract using dynamic threshold segmentation method to the notable figure into row threshold division
The marking area feature for writing figure, to calculate the characteristic area area of the notable figure；
Step S104：According to the comparison result of the characteristic area area and default defect area threshold value, waited for described in judgement
It detects paper and whether there is defect.
In the present embodiment, after being pre-processed to the surface image of collected paper to be detected, the surface is obtained
The notable figure of image divides the notable figure using dynamic threshold segmentation method, to which the marking area for extracting the notable figure is special
Sign, calculates the characteristic area area of the notable figure, judges whether the paper to be detected is deposited according to the characteristic area area
In defect.The present embodiment utilizes the marking area feature of paper surface image to be detected described in vision significance model solution, i.e.,
The region of the paper defects such as mosquito, stain, stain, broken hole, paper pulp block, the paper pulp point of paper surface；When notable feature region area
When value is more than default defect area threshold value, then the paper storage defect to be detected is judged.The paper provided using the present embodiment
The efficiency and accuracy rate of paper surface defects detection can be greatly improved in paper industry production by opening detection method of surface flaw.
Based on above-described embodiment, in the present embodiment the surface image of paper to be detected collected to the CCD camera into
Row mean filter processing, to reduce influence of the light variation to paper surface testing result.Referring to FIG. 2, Fig. 2 is the present invention
The flow chart of second of specific embodiment of the method for the paper surface defects detection of the view-based access control model conspicuousness provided；Specifically
Operating procedure is as follows：
Step S201：The surface image of paper to be detected is acquired using CCD camera；
Step S202：After being pre-processed to the surface image of the paper to be detected using mean filter, vision is utilized
Conspicuousness model calculates the notable figure of the surface image；
Step S203：Fast Threshold point is carried out to the notable figure using the dynamic threshold segmentation algorithm of halcon algorithms
It cuts；
Step S204：The marking area feature of notable figure after extraction segmentation, the marking area is characterized as described to be checked
The defect characteristic for surveying paper, calculates the area S of the defect characteristic；
Step S205：Defect area threshold value St is set according to preset paper surface quality requirement, compares the big of S and St
It is small, obtain the judgement result of the paper to be detected.
The judgement result of the paper to be detected is：
Wherein, R=0 indicates that the paper zero defect to be detected, R=1 indicate the paper existing defects to be detected.
Light has a certain impact to testing result in paper surface detection process, and rather dark unknown variation can make
The contrast of image becomes larger, consequently, it is possible to causing flase drop.In the present embodiment, to the exterior view of the paper to be detected collected
As carrying out mean filter processing, to reduce the influence due to the result that light variation detects paper surface, reduce mistake
The probability of inspection further improves the accuracy of paper surface defects detection result.
Referring to FIG. 3, Fig. 3 is a kind of paper surface defects detection of view-based access control model conspicuousness provided in an embodiment of the present invention
Device structure diagram；Specific device may include：
Acquisition module 100：Surface image for acquiring paper to be detected；
Preprocessing module 200：After being pre-processed for the surface image to the paper to be detected, the surface is obtained
The notable figure of image；
Extraction module 300：For utilizing dynamic threshold segmentation method to the notable figure into row threshold division, in order to extract
The marking area feature of the notable figure, to calculate the characteristic area area of the notable figure；
Judgment module 400：For the comparison result according to the characteristic area area and default defect area threshold value, judge
The paper to be detected whether there is defect.
The device of the paper surface defects detection of the view-based access control model conspicuousness of the present embodiment is based on regarding for realizing above-mentioned
Feel the method for the paper surface defects detection of conspicuousness, therefore in the device of the paper surface defects detection of view-based access control model conspicuousness
The visible view-based access control model conspicuousness hereinbefore of specific implementation mode paper surface defects detection method embodiment part,
For example, acquisition module 100, preprocessing module 200, extraction module 300, judgment module 400, it is respectively used to realize above-mentioned based on regarding
Feel step S101, S102, S103 and S104 in the method for the paper surface defects detection of conspicuousness, so, specific embodiment party
Formula is referred to the description of corresponding various pieces embodiment, and details are not described herein.
The specific embodiment of the invention additionally provides a kind of equipment of the paper surface defects detection of view-based access control model conspicuousness, packet
It includes：Memory, for storing computer program；Processor realizes that above-mentioned one kind is based on when for executing the computer program
The step of method of the paper surface defects detection of vision significance.
The specific embodiment of the invention additionally provides a kind of computer readable storage medium, the computer readable storage medium
On be stored with computer program, the computer program realizes a kind of paper of above-mentioned view-based access control model conspicuousness when being executed by processor
The step of opening the method for surface defects detection.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with it is other
The difference of embodiment, just to refer each other for same or similar part between each embodiment.For being filled disclosed in embodiment
For setting, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is referring to method part
Explanation.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, depends on the specific application and design constraint of technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Above to method, apparatus, the equipment of the paper surface defects detection of view-based access control model conspicuousness provided by the present invention
And computer readable storage medium is described in detail.Specific case used herein is to the principle of the present invention and implementation
Mode is expounded, and the explanation of above example is only intended to facilitate the understanding of the method and its core concept of the invention.It should
It points out, it for those skilled in the art, without departing from the principle of the present invention, can also be to this hair
Bright some improvement and modification can also be carried out, these improvement and modification are also fallen within the protection scope of the claims of the present invention.
Claims (10)
1. a kind of method of the paper surface defects detection of view-based access control model conspicuousness, which is characterized in that including：
Acquire the surface image of paper to be detected；
After being pre-processed to the surface image of the paper to be detected, the notable figure of the surface image is obtained；
Using dynamic threshold segmentation method to the notable figure into row threshold division, in order to extract the marking area of the notable figure
Feature, to calculate the characteristic area area of the notable figure；
According to the comparison result of the characteristic area area and default defect area threshold value, judge whether the paper to be detected is deposited
In defect.
2. the method as described in claim 1, which is characterized in that the surface image to the paper to be detected is located in advance
After reason, the notable figure for obtaining the surface image includes：
After being pre-processed to the surface image of the paper to be detected using mean filter, obtained using vision significance model
The notable figure of the surface image.
3. method as claimed in claim 2, which is characterized in that described to be carried out to the notable figure using dynamic threshold segmentation method
Threshold segmentation, in order to extract the marking area feature of the notable figure, to calculate the characteristic area area of the notable figure
Including：
Fast Threshold segmentation is carried out to the notable figure using the dynamic threshold segmentation algorithm of halcon algorithms；After extraction segmentation
The marking area feature of notable figure, the marking area are characterized as the defect characteristic of the paper to be detected, calculate the defect
The area S of feature.
4. method as claimed in claim 3, which is characterized in that described according to the characteristic area area and default defect area
The comparison result of threshold value judges that the paper to be detected includes with the presence or absence of defect：
Defect area threshold value S is set according to preset paper surface quality requirementt,
Compare S and StSize, obtain the judgement result of the paper to be detected：
Wherein, R=0 indicates that the paper zero defect to be detected, R=1 indicate the paper existing defects to be detected.
5. the method as described in claim 1, which is characterized in that the surface image of acquisition paper to be detected includes：It utilizes
CCD camera acquires the surface image of paper to be detected.
6. a kind of device of the paper surface defects detection of view-based access control model conspicuousness, which is characterized in that including：
Acquisition module：Surface image for acquiring paper to be detected；
Preprocessing module：After being pre-processed for the surface image to the paper to be detected, the surface image is obtained
Notable figure；
Extraction module：It is described aobvious in order to extract for utilizing dynamic threshold segmentation method to the notable figure into row threshold division
The marking area feature for writing figure, to calculate the characteristic area area of the notable figure；
Judgment module：For the comparison result according to the characteristic area area and default defect area threshold value, waited for described in judgement
It detects paper and whether there is defect.
7. device as claimed in claim 6, which is characterized in that the preprocessing module is specifically used for：Using mean filter pair
After the surface image of the paper to be detected is pre-processed, the notable of the surface image is obtained using vision significance model
Figure.
8. device as claimed in claim 7, which is characterized in that described to be carried out to the notable figure using dynamic threshold segmentation method
Threshold segmentation, in order to extract the marking area feature of the notable figure, to calculate the characteristic area area of the notable figure
Including：
Fast Threshold segmentation is carried out to the notable figure using the dynamic threshold segmentation algorithm of halcon algorithms；After extraction segmentation
The marking area feature of notable figure, the marking area are characterized as the defect characteristic of the paper to be detected, calculate the defect
The area S of feature.
9. a kind of equipment of the paper surface defects detection of view-based access control model conspicuousness, which is characterized in that including：
Memory, for storing computer program；
Processor realizes that a kind of view-based access control model is aobvious as described in any one of claim 1 to 5 when for executing the computer program
The step of method of the paper surface defects detection of work property.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program realizes that a kind of view-based access control model as described in any one of claim 1 to 5 is notable when the computer program is executed by processor
The step of method of the paper surface defects detection of property.
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| CN111524097A (en) * | 2020-04-07 | 2020-08-11 | 珠海格力智能装备有限公司 | Method and device for detecting horn mouths of two devices, storage medium and equipment |
| CN111519467A (en) * | 2020-03-20 | 2020-08-11 | 金东纸业（江苏）股份有限公司 | Coating head control method based on paper defect detection and related device |
| CN112215827A (en) * | 2020-10-20 | 2021-01-12 | 中广核核电运营有限公司 | Electromigration region detection method and device, computer equipment and storage medium |
| CN112700438A (en) * | 2021-01-14 | 2021-04-23 | 成都铁安科技有限责任公司 | Ultrasonic damage judging method and system for inlaid part of train axle |
| CN113533372A (en) * | 2021-07-12 | 2021-10-22 | 浙江理工大学 | Paper defect detection method, system, device and computer storage medium |
| CN114460075A (en) * | 2021-12-30 | 2022-05-10 | 南京华鼎纳米技术研究院有限公司 | Paper sheet repairing method based on image recognition |
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