CN116523863B - Polyester powder coating spraying gloss analysis system - Google Patents
Polyester powder coating spraying gloss analysis system Download PDFInfo
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- CN116523863B CN116523863B CN202310450543.2A CN202310450543A CN116523863B CN 116523863 B CN116523863 B CN 116523863B CN 202310450543 A CN202310450543 A CN 202310450543A CN 116523863 B CN116523863 B CN 116523863B
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- 238000005507 spraying Methods 0.000 title claims abstract description 98
- 239000000843 powder Substances 0.000 title claims abstract description 79
- 229920000728 polyester Polymers 0.000 title claims abstract description 69
- 238000000576 coating method Methods 0.000 title claims abstract description 57
- 239000011248 coating agent Substances 0.000 title claims abstract description 55
- 230000009471 action Effects 0.000 claims abstract description 30
- 238000003384 imaging method Methods 0.000 claims abstract description 27
- 230000007246 mechanism Effects 0.000 claims abstract description 21
- 230000008030 elimination Effects 0.000 claims abstract description 11
- 238000003379 elimination reaction Methods 0.000 claims abstract description 11
- 239000000470 constituent Substances 0.000 claims abstract description 5
- 239000003973 paint Substances 0.000 claims description 42
- 239000007921 spray Substances 0.000 claims description 22
- 230000000875 corresponding effect Effects 0.000 claims description 17
- 230000005540 biological transmission Effects 0.000 claims description 13
- 230000002708 enhancing effect Effects 0.000 claims description 6
- 230000009466 transformation Effects 0.000 claims description 6
- 239000004973 liquid crystal related substance Substances 0.000 claims description 3
- 230000002596 correlated effect Effects 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 5
- 238000013507 mapping Methods 0.000 abstract description 5
- 238000005457 optimization Methods 0.000 abstract description 3
- 230000008901 benefit Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000010276 construction Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 5
- 238000007689 inspection Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 239000004593 Epoxy Substances 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 239000012752 auxiliary agent Substances 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 239000004566 building material Substances 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 239000000945 filler Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 125000002887 hydroxy group Chemical group [H]O* 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000049 pigment Substances 0.000 description 1
- 229920001225 polyester resin Polymers 0.000 description 1
- 239000004645 polyester resin Substances 0.000 description 1
- 229920001187 thermosetting polymer Polymers 0.000 description 1
- 238000004383 yellowing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B12/00—Arrangements for controlling delivery; Arrangements for controlling the spray area
- B05B12/08—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/10—Greenhouse gas [GHG] capture, material saving, heat recovery or other energy efficient measures, e.g. motor control, characterised by manufacturing processes, e.g. for rolling metal or metal working
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Geometry (AREA)
- Application Of Or Painting With Fluid Materials (AREA)
Abstract
The invention relates to a polyester powder coating spraying gloss analysis system, which comprises: the spraying executing mechanism comprises a spraying tap and a powder storage tank connected with the spraying tap; a content capturing device for identifying a target image patch based on imaging characteristics of the polyester powder coating; and the gloss analysis device is used for taking the intermediate value obtained by removing the most value of each brightness value corresponding to each constituent pixel point of the target image block as a target brightness value, and determining the spraying gloss grade of the workpiece to be sprayed, which is currently positioned at the spraying station, based on the target brightness value. According to the invention, the fine identification of each spraying effect of the polyester powder coating can be realized by adopting the imaging characteristic identification mode based on the polyester powder coating, the gloss mapping mode of brightness intermediate value after the removal of the maximum value and the custom image optimization mode of continuously executing impulse noise elimination action, artifact removal action and custom enhancement action.
Description
Technical Field
The invention relates to the field of polyester powder coating, in particular to a polyester powder coating spraying gloss analysis system.
Background
The polyester type powder coating is prepared from a thermosetting powder coating composed of hydroxyl polyester resin, a curing agent, pigment, filler, an auxiliary agent and the like, has good weather resistance and good decoration, and has the advantages of difficult yellowing during baking, high paint film fullness and the like compared with an epoxy type powder coating, and is generally used in the fields of building materials, household appliances and general industry.
The polyester powder paint is widely used for coating aluminum extrusion materials for doors and windows, road sign piles, automobile industry and traffic equipment. The polyester powder paint needs to be stored in a room which is below 25 ℃ and is ventilated, dried and cleaned, and cannot approach a fire source or a heating system, so that direct sunlight is avoided, and outdoor stacking is forbidden. The powder was stable for 12 months under these conditions. The test can be carried out again beyond the storage period, and the test can still be used if the result meets the requirement.
It follows that the key parameters of the spray performance of polyester powder coatings are the degree of surface gloss of the workpieces to be sprayed, such as parts or hubs of automobiles and motorcycles, bicycle bodies and road barrier fences, air conditioner housings and gas burner panels, garden furniture, handrails and fences, agricultural equipment and utility poles, etc., which directly determine the performance of the spray and even the success or failure of the spray. However, the lack of a specific, high-precision spray gloss grade identification mechanism for polyester powder coatings in the prior art results in an inability to effectively identify each spray effect.
Disclosure of Invention
In order to solve the technical problems in the related art, the invention provides a polyester powder coating spraying gloss analysis system, which can adopt a gloss mapping mode based on an imaging characteristic identification mode of the polyester powder coating, a brightness intermediate value after the removal of the maximum value and a custom image optimization mode for continuously executing impulse noise elimination action, artifact removal action and custom enhancement action to realize the refinement identification of each spraying effect of the polyester powder coating, thereby providing key data for the inspection of the spraying quality of the polyester powder coating.
According to an aspect of the present invention, there is provided a polyester powder coating spray gloss analysis system comprising:
the spraying execution mechanism comprises a spraying tap and a powder storage tank body connected with the spraying tap, wherein the powder storage tank body is internally provided with polyester powder coating, the spraying tap is used for executing quantitative spraying treatment of the polyester powder coating on a workpiece to be sprayed at a spraying station facing the spraying tap after receiving a transmission completion command every time, and sending out a collection control command after completing each quantitative spraying treatment;
the transmission control mechanism is used for transmitting each workpiece to be sprayed to the spraying station one by one at uniform time intervals, and sending a transmission completion instruction once when each workpiece to be sprayed is transmitted to the spraying station;
the signal acquisition mechanism is arranged opposite to the spraying station and is used for performing image signal acquisition on the environment where the spraying station is positioned once when receiving an acquisition control instruction every time so as to obtain a corresponding instant acquisition image;
the multiple sharpening device is connected with the signal acquisition mechanism and is used for sequentially executing impulse noise elimination action, artifact removal action and custom enhancement action on the received instant acquired image so as to obtain a corresponding multiple sharpening image, wherein the custom enhancement action is a multiple sharpening image based on exponential transformation;
the content capturing device is connected with the multiple sharpening device and is used for identifying each paint image block in the received multiple sharpening images based on the imaging characteristics of the polyester powder paint and outputting the paint image block with the largest occupied area as a target image block;
and the gloss analysis device is connected with the content capture device and is used for acquiring each brightness value corresponding to each constituent pixel point of the target image block, taking the intermediate value from the rest brightness values obtained by removing the maximum value and the minimum value of each brightness value as a target brightness value, and determining the spraying gloss level of the workpiece to be sprayed, which is currently positioned at the spraying station, based on the target brightness value.
Therefore, the invention has at least the following three remarkable technical improvements:
the first place adopts an automatic synchronous spraying control structure comprising a spraying executing mechanism, a transmission control mechanism and a signal acquisition mechanism to finish the synchronous and automatic control of the transmission, spraying and gloss inspection actions of each workpiece to be sprayed, thereby providing a hardware basis for automatic control for the identification of the gloss level of the workpieces to be sprayed one by one;
secondly, identifying each paint image block in the customized sharpening image based on imaging characteristics of the polyester powder paint, taking the paint image block with the largest occupied area as an imaging area of a current workpiece to be sprayed, acquiring each brightness value corresponding to each constituent pixel point of the imaging area of the current workpiece to be sprayed, taking a middle value from the rest brightness values obtained by removing the maximum value and the minimum value of each brightness value as a target brightness value, and determining the spraying gloss level of the workpiece to be sprayed, which is currently positioned at the spraying station, based on the target brightness value, thereby realizing intelligent analysis of the spraying gloss level of the polyester powder paint;
and thirdly, sequentially executing impulse noise elimination action, artifact removal action and custom enhancement action on the immediately acquired image of the environment where the workpiece to be sprayed is currently located so as to obtain a corresponding multiple sharpening image, wherein the custom enhancement action is the multiple sharpening image based on exponential transformation, so that the reliability and the anti-interference performance of the image for gloss inspection are ensured.
Drawings
Embodiments of the present invention will be described below with reference to the accompanying drawings, in which:
fig. 1 is a block diagram showing the construction of a polyester powder coating spray gloss analysis system according to a first embodiment of the present invention.
Fig. 2 is a block diagram showing the construction of a polyester powder coating spray gloss analysis system according to a second embodiment of the present invention.
Fig. 3 is a block diagram showing the construction of a polyester powder coating spray gloss analysis system according to a third embodiment of the present invention.
Detailed Description
Embodiments of the polyester powder coating spray gloss analysis system of the present invention will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a block diagram showing a structure of a polyester powder coating spray gloss analysis system according to a first embodiment of the present invention, the system comprising:
the spraying execution mechanism comprises a spraying tap and a powder storage tank body connected with the spraying tap, wherein the powder storage tank body is internally provided with polyester powder coating, the spraying tap is used for executing quantitative spraying treatment of the polyester powder coating on a workpiece to be sprayed at a spraying station facing the spraying tap after receiving a transmission completion command every time, and sending out a collection control command after completing each quantitative spraying treatment;
the spraying executing mechanism is internally provided with a spraying tap and is used for sending out a collection control instruction after each time of quantitative spraying treatment is finished;
the transmission control mechanism is used for transmitting each workpiece to be sprayed to the spraying station one by one at uniform time intervals, and sending a transmission completion instruction once when each workpiece to be sprayed is transmitted to the spraying station;
illustratively, the transport handling mechanism includes a transport belt structure for wrapping the drive wheel and the follower wheel;
the signal acquisition mechanism is arranged opposite to the spraying station and is used for performing image signal acquisition on the environment where the spraying station is positioned once when receiving an acquisition control instruction every time so as to obtain a corresponding instant acquisition image;
the multiple sharpening device is connected with the signal acquisition mechanism and is used for sequentially executing impulse noise elimination action, artifact removal action and custom enhancement action on the received instant acquired image so as to obtain a corresponding multiple sharpening image, wherein the custom enhancement action is a multiple sharpening image based on exponential transformation;
the content capturing device is connected with the multiple sharpening device and is used for identifying each paint image block in the received multiple sharpening images based on the imaging characteristics of the polyester powder paint and outputting the paint image block with the largest occupied area as a target image block;
the gloss analysis device is connected with the content capture device and is used for acquiring each brightness value corresponding to each constituent pixel point of the target image block, taking the intermediate value from the rest brightness values obtained by removing the maximum value and the minimum value of each brightness value as a target brightness value, and determining the spraying gloss level of the workpiece to be sprayed, which is currently positioned at the spraying station, based on the target brightness value;
the method for determining the spraying gloss grade of the workpiece to be sprayed, which is currently positioned at the spraying station, based on the target brightness value comprises the following steps: the determined spraying gloss level of the workpiece to be sprayed currently positioned at the spraying station is monotonically and positively correlated with the target brightness value;
the spraying tap is used for executing quantitative spraying treatment of polyester powder coating on a workpiece to be sprayed at a spraying station facing the spraying tap after receiving a transmission completion instruction every time, and sending an acquisition control instruction after completing the quantitative spraying treatment every time, and comprises the following steps: the areas of the spraying surfaces of the workpieces to be sprayed are equal.
Fig. 2 is a block diagram showing the construction of a polyester powder coating spray gloss analysis system according to a second embodiment of the present invention.
Unlike fig. 1, the polyester powder coating spray gloss analysis system of fig. 2 may further include the components:
the liquid crystal display device is connected with the gloss analysis device and is used for receiving and displaying the spraying gloss grade of the workpiece to be sprayed, which is currently positioned at the spraying station and is determined based on the target brightness value;
alternatively, the liquid crystal display device is replaced by an LED display array for receiving and displaying the spraying gloss level of the workpiece to be sprayed currently positioned at the spraying station, which is determined based on the target brightness value.
Fig. 3 is a block diagram showing the construction of a polyester powder coating spray gloss analysis system according to a third embodiment of the present invention.
Unlike fig. 1, the polyester powder coating spray gloss analysis system of fig. 3 may further include the components:
and the characteristic storage device is connected with the content capturing device and is used for storing imaging characteristics of the polyester powder coating and transmitting the imaging characteristics of the polyester powder coating to the content capturing device.
Next, a further explanation of the specific structure of the polyester powder coating spray gloss analysis system of the present invention will be continued.
In the polyester powder coating spray gloss analysis system according to various embodiments of the present invention:
identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint, and outputting the paint image patch having the largest occupied area as a target image patch includes: the imaging properties of the polyester powder coating are the component imaging properties of the polyester powder coating;
wherein identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint and outputting the paint image patch having the largest occupied area as the target image patch comprises: the component imaging characteristics of the polyester powder coating are a red-green component value interval, a black-white component value interval and a yellow-blue component value interval in an LAB color space;
wherein identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint and outputting the paint image patch having the largest occupied area as the target image patch comprises: for each pixel point in the received multiple sharpened images, when the red-green component value, the black-white component value and the yellow-blue component value are respectively in a red-green component value interval, a black-white component value interval and a yellow-blue component value interval, judging the pixel point as a target pixel point;
wherein identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint and outputting the paint image patch having the largest occupied area as the target image patch comprises: and fitting each target pixel point in the received multiple sharpened images to obtain each paint image block in the received multiple sharpened images.
And in a polyester powder coating spray gloss analysis system according to various embodiments of the invention:
the multiple sharpening device comprises an image receiving unit, a noise eliminating unit, an artifact removing unit, a custom enhancing unit and an image sending unit, wherein the image receiving unit, the noise eliminating unit, the artifact removing unit, the custom enhancing unit and the image sending unit are sequentially connected;
the image receiving unit is connected with the signal acquisition mechanism and is used for receiving the instant acquired image, and the noise elimination unit is used for executing impulse noise elimination action on the instant acquired image so as to acquire a corresponding first intermediate image;
the artifact removing unit is used for performing an artifact removing action on the first intermediate image to obtain a corresponding second intermediate image;
the customization enhancing unit is used for executing multiple sharpening images based on exponential transformation on the received second intermediate image so as to obtain corresponding multiple sharpening images, and forwarding the multiple sharpening images to the image sending unit.
In addition, in the polyester powder coating spraying gloss analysis system, the determined monotonically positive correlation between the spraying gloss level of the workpiece to be sprayed currently positioned at the spraying station and the target brightness value comprises the following steps: and (3) adopting a numerical mapping formula to express the numerical mapping relation between the target brightness value and the determined spraying gloss grade of the workpiece to be sprayed currently positioned at the spraying station.
The polyester powder coating spraying gloss analysis system aims at the technical problem that the spraying effect of the polyester powder coating can not be verified with high precision in the prior art, and can realize the refinement identification of the spraying effect of the polyester powder coating each time by adopting an imaging characteristic identification mode based on the polyester powder coating, a gloss mapping mode based on the brightness intermediate value after the removal of the most value and a custom image optimization mode for continuously executing impulse noise elimination action, artifact removal action and custom enhancement action, thereby solving the technical problem.
In the foregoing specification, the invention has been described with reference to specific embodiments. However, it will be understood by those skilled in the art that various modifications and changes may be made without departing from the scope of the present invention as defined in the appended claims. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of present invention.
Benefits, other advantages, and solutions to problems have been described above with regard to specific embodiments. However, any benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature or element of any or all the claims. The terms "comprises," "comprising," or any other variation thereof, as used herein, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Claims (4)
1. A polyester powder coating spray gloss analysis system, the system comprising:
the spraying execution mechanism comprises a spraying tap and a powder storage tank body connected with the spraying tap, wherein the powder storage tank body is internally provided with polyester powder coating, the spraying tap is used for executing quantitative spraying treatment of the polyester powder coating on a workpiece to be sprayed at a spraying station facing the spraying tap after receiving a transmission completion command every time, and sending out a collection control command after completing each quantitative spraying treatment;
the transmission control mechanism is used for transmitting each workpiece to be sprayed to the spraying station one by one at uniform time intervals, and sending a transmission completion instruction once when each workpiece to be sprayed is transmitted to the spraying station;
the signal acquisition mechanism is arranged opposite to the spraying station and is used for performing image signal acquisition on the environment where the spraying station is positioned once when receiving an acquisition control instruction every time so as to obtain a corresponding instant acquisition image;
the multiple sharpening device is connected with the signal acquisition mechanism and is used for sequentially executing impulse noise elimination action, artifact removal action and custom enhancement action on the received instant acquired image so as to obtain a corresponding multiple sharpening image, wherein the custom enhancement action is a multiple sharpening image based on exponential transformation;
the content capturing device is connected with the multiple sharpening device and is used for identifying each paint image block in the received multiple sharpening images based on the imaging characteristics of the polyester powder paint and outputting the paint image block with the largest occupied area as a target image block;
the gloss analysis device is connected with the content capture device and is used for acquiring each brightness value corresponding to each constituent pixel point of the target image block, taking the intermediate value from the rest brightness values obtained by removing the maximum value and the minimum value of each brightness value as a target brightness value, and determining the spraying gloss level of the workpiece to be sprayed, which is currently positioned at the spraying station, based on the target brightness value;
determining the spraying gloss level of the workpiece to be sprayed currently positioned at the spraying station based on the target brightness value comprises: the determined spraying gloss level of the workpiece to be sprayed currently positioned at the spraying station is monotonically and positively correlated with the target brightness value;
the spraying tap is used for executing quantitative spraying treatment of polyester powder coating on a workpiece to be sprayed at a spraying station facing the spraying tap after receiving a transmission completion instruction every time, and sending an acquisition control instruction after completing the quantitative spraying treatment every time, and comprises the following steps: the areas of the spraying surfaces of the workpieces to be sprayed are equal;
the liquid crystal display device is connected with the gloss analysis device and is used for receiving and displaying the spraying gloss grade of the workpiece to be sprayed, which is currently positioned at the spraying station and is determined based on the target brightness value;
a characteristic storage device connected to the content capture device for storing and transmitting imaging characteristics of the polyester powder coating to the content capture device;
identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint, and outputting the paint image patch having the largest occupied area as a target image patch includes: the imaging properties of the polyester powder coating are the component imaging properties of the polyester powder coating;
wherein identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint and outputting the paint image patch having the largest occupied area as the target image patch comprises: the component imaging characteristics of the polyester powder coating are a red-green component value interval, a black-white component value interval and a yellow-blue component value interval in an LAB color space;
identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint, and outputting the paint image patch having the largest occupied area as a target image patch includes: for each pixel point in the received multiple sharpened images, when the red-green component value, the black-white component value and the yellow-blue component value are respectively in a red-green component value interval, a black-white component value interval and a yellow-blue component value interval, judging the pixel point as a target pixel point;
identifying each paint image patch in the received multiple sharpened images based on imaging characteristics of the polyester powder paint, and outputting the paint image patch having the largest occupied area as a target image patch includes: and fitting each target pixel point in the received multiple sharpened images to obtain each paint image block in the received multiple sharpened images.
2. The polyester powder coating spray gloss analysis system of claim 1, wherein:
the multiple sharpening device comprises an image receiving unit, a noise eliminating unit, an artifact eliminating unit, a custom enhancing unit and an image sending unit, wherein the image receiving unit, the noise eliminating unit, the artifact eliminating unit, the custom enhancing unit and the image sending unit are sequentially connected.
3. The polyester powder coating spray gloss analysis system of claim 2, wherein:
the image receiving unit is connected with the signal acquisition mechanism and is used for receiving the instant acquired image, and the noise elimination unit is used for executing impulse noise elimination action on the instant acquired image so as to acquire a corresponding first intermediate image.
4. A polyester powder coating spray gloss analysis system according to claim 3, wherein:
the artifact removing unit is used for performing an artifact removing action on the first intermediate image so as to obtain a corresponding second intermediate image;
the customization enhancing unit is used for executing multiple sharpening images based on exponential transformation on the received second intermediate image so as to obtain corresponding multiple sharpening images, and forwarding the multiple sharpening images to the image sending unit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310450543.2A CN116523863B (en) | 2023-04-25 | 2023-04-25 | Polyester powder coating spraying gloss analysis system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310450543.2A CN116523863B (en) | 2023-04-25 | 2023-04-25 | Polyester powder coating spraying gloss analysis system |
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| CN116523863B true CN116523863B (en) | 2023-10-03 |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1304035A (en) * | 1999-11-25 | 2001-07-18 | 图像统计公司 | Method for standardigation grading of jewel and relative apparatus |
| JP2012230081A (en) * | 2011-04-27 | 2012-11-22 | Panasonic Corp | External appearance inspection device of glossy product and program |
| CN106248634A (en) * | 2016-08-18 | 2016-12-21 | 上海交通大学 | Fruit exocuticle glossiness measurement apparatus and method |
| CN106856651A (en) * | 2016-12-20 | 2017-06-16 | 太仓市天丝利塑化有限公司 | A kind of environment-friendly type upper mealiness liquid crystal display metal shell high and electrostatic painting process |
| CN110684442A (en) * | 2018-07-05 | 2020-01-14 | 漳州市万诚粉体涂料有限公司 | Preparation method and preparation equipment of powder coating |
| KR20210069749A (en) * | 2019-12-03 | 2021-06-14 | 주식회사 마이리얼짐 | Method and program for examining musculoskeletal based on motion recognition |
| CN114339186A (en) * | 2022-02-11 | 2022-04-12 | 张恩岫 | Color and luster judging system applying micro-control chip |
-
2023
- 2023-04-25 CN CN202310450543.2A patent/CN116523863B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1304035A (en) * | 1999-11-25 | 2001-07-18 | 图像统计公司 | Method for standardigation grading of jewel and relative apparatus |
| JP2012230081A (en) * | 2011-04-27 | 2012-11-22 | Panasonic Corp | External appearance inspection device of glossy product and program |
| CN106248634A (en) * | 2016-08-18 | 2016-12-21 | 上海交通大学 | Fruit exocuticle glossiness measurement apparatus and method |
| CN106856651A (en) * | 2016-12-20 | 2017-06-16 | 太仓市天丝利塑化有限公司 | A kind of environment-friendly type upper mealiness liquid crystal display metal shell high and electrostatic painting process |
| CN110684442A (en) * | 2018-07-05 | 2020-01-14 | 漳州市万诚粉体涂料有限公司 | Preparation method and preparation equipment of powder coating |
| KR20210069749A (en) * | 2019-12-03 | 2021-06-14 | 주식회사 마이리얼짐 | Method and program for examining musculoskeletal based on motion recognition |
| CN114339186A (en) * | 2022-02-11 | 2022-04-12 | 张恩岫 | Color and luster judging system applying micro-control chip |
Non-Patent Citations (4)
| Title |
|---|
| Inês Alexandra Dias Lopes等.The effect of different finishing and polishing techniques on surface roughness and gloss of two nanocomposites.The Saudi Dental Journal.2018,全文. * |
| 兰芬芬 ; 丁冉 ; 田振 ; 张洪礼 ; 黄毅萍 ; 许戈文 ; 鲍俊杰 ; .聚酯/环氧/丙烯酸树脂低光泽粉末涂料的制备与性能.塑料工业.2020,(第06期),全文. * |
| 基于图像分析的洗涤去污等级评定;沈菁;刘建立;高卫东;;纺织学报(第03期);全文 * |
| 基于机器视觉的PCB外观缺陷光学自动检测机关键技术研究;李延年;中国优秀硕士学位论文全文数据库;全文 * |
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