CN110514116A - Quick-fried pearl detection method, device, system and storage medium - Google Patents
Quick-fried pearl detection method, device, system and storage medium Download PDFInfo
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- CN110514116A CN110514116A CN201910814886.6A CN201910814886A CN110514116A CN 110514116 A CN110514116 A CN 110514116A CN 201910814886 A CN201910814886 A CN 201910814886A CN 110514116 A CN110514116 A CN 110514116A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G17/00—Apparatus for or methods of weighing material of special form or property
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Abstract
Present disclose provides a kind of quick-fried pearl detection method, device, system and storage mediums, method therein includes: to obtain filming apparatus for the image of quick-fried pearl shooting to be detected, obtains the first outer circle corresponding with the internal layer sphere of quick-fried pearl, corresponding second outer circle with the outer layer spherical shell of quick-fried pearl respectively based on image；Quality estimation information corresponding with quick-fried pearl is obtained according to the first outer circle and/or the second outer circle；Wherein, Quality estimation information includes: at least one information in the distance of center circle of the first outside diameter of the first outer circle, the second outside diameter of the second outer circle and the first outer circle and the second outer circle；Determine whether quick-fried pearl is qualified based on Quality estimation information.Disclosed method, device, system and storage medium can reduce the labor intensity of artificial detection, improve detection efficiency and detection accuracy, can be improved the quality stability of quick-fried pearl finished product, improve the qualification rate of quick-fried pearl finished product.
Description
Technical field
The present invention relates to technical field of tobacco more particularly to a kind of quick-fried pearl detection method, device, system and storage to be situated between
Matter.
Background technique
" quick-fried pearl addition " assigns fragrant innovative technology as a kind of cigarette, provides to be modelled as the category building of core with odor type
New more specifically perception supporting method.Quick-fried pearl used in cigarette requires its physical index stringent such as quick-fried
The diameter of pearl, pressure, bias, loudness etc., while the taste uniformity in order to guarantee quick-fried pearl, it is also necessary to guarantee in quick-fried pearl in perfume (or spice)
The useful load uniformity of essence.Therefore, in order to improve the stability of quick-fried pearl physical index and essence useful load, in quick-fried droplet system
In the process, it is necessary to which wall material weight and essence weight fluctuate in a certain range under the wet pearl state of strict control.
Currently, mainly using the means of artificial detection, first in dripping early period, turned by the bias of the wet pearl of human eye observation
State then needs adjusting process parameter repeatedly, since human eye can not observe apparent bias, In when occurring apparent eccentric
Within the scope of a period of time, the artificial wall material weight and essence weight for using 10-50 wet pearls of electronic balance weighing period, when wet
The wall material weight and essence weight of pearl exceed limited range, then the wet pearl that time period is collected will be regarded as substandard product.
Existing artificial detection method will reduce the finished product yield of quick-fried pearl, while human eye can not also observe bias during dripping
Situation also can not carry out weight detecting to every pearl.
Summary of the invention
In view of this, the invention solves a technical problem be to provide a kind of quick-fried pearl detection method, device, system with
And storage medium.
According to one aspect of the disclosure, a kind of quick-fried pearl detection method is provided, comprising: obtain filming apparatus for be detected
Quick-fried pearl shooting image；Wherein, the quick-fried pearl is bilayer sphere structure；It is obtained respectively based on described image and the quick-fried pearl
Corresponding first outer circle of internal layer sphere, the second outer circle corresponding with the outer layer spherical shell of the quick-fried pearl；According to described first
Outer circle and/or second outer circle obtain Quality estimation information corresponding with the quick-fried pearl；Wherein, the Quality estimation information
Include: the first outside diameter of first outer circle, the second outside diameter of second outer circle and first outer circle with
At least one information in the distance of center circle of second outer circle；Determine whether the quick-fried pearl closes based on the Quality estimation information
Lattice.
Optionally, described to determine whether qualification includes: according to preset inspection to the quick-fried pearl based on the Quality estimation information
Gauge is then and based at least one information in first outside diameter, second outside diameter and the distance of center circle, really
Whether the fixed quick-fried pearl is qualified.
Optionally, whether qualification includes: to determine the internal layer based on first outside diameter to the determination quick-fried pearl
First mass of sphere；Judge first mass whether in preset first mass section, it is determined that this quick-fried pearl is qualified, such as
Fruit is no, it is determined that this quick-fried pearl is unqualified.
Optionally it is determined that first mass
Wherein, D1 is first outside diameter, ρ1For the material density of the internal layer sphere.
Optionally, the determination quick-fried pearl whether qualification include: based on second outside diameter and described first outside
Circular diameter determines the second mass of the outer layer spherical shell；Judge second mass whether in preset second mass section
It is interior, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
Optionally it is determined that second mass
Wherein, D1 is first outside diameter, and D2 is second outside diameter, ρ2For the outer layer spherical shell
Material density.
Optionally, whether qualification includes: to judge the distance of center circle in preset distance of center circle to the determination quick-fried pearl
In section, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
Optionally, it is described obtained respectively based on described image the first outer circle corresponding with the internal layer sphere of the quick-fried pearl,
The second outer circle corresponding with the outer layer spherical shell of the quick-fried pearl includes: to carry out edge to described image based on edge detection operator
Detection processing extracts first outer circle, second outer circle from described image；Wherein, the edge detection operator includes:
Canny operator.
Optionally, before carrying out edge detection process to described image based on edge detection operator, using smothing filtering
Device is filtered to described image；Described image after being filtered successively is carried out at gray processing and binaryzation
Reason.
Optionally, the described image for the quick-fried pearl shooting that filming apparatus produces quick-fried pearl generating means is obtained；Setting monitoring
Period, the quick-fried pearl disqualification rate based on the Quality estimation information acquisition within the monitoring period；If the quick-fried pearl does not conform to
Lattice rate is more than preset disqualification rate threshold value, then issues warning note, and collects and monitor the quick-fried pearl generation dress in the period herein
The quick-fried pearl for setting production, carries out rejecting processing.
According to another aspect of the present disclosure, a kind of quick-fried pearl detection device is provided, comprising: image obtains module, for obtaining
Image of the filming apparatus for quick-fried pearl shooting to be detected；Wherein, the quick-fried pearl is bilayer sphere structure；Image processing module,
For obtaining the outer layer of the first outer circle corresponding with the internal layer sphere of the quick-fried pearl and the quick-fried pearl respectively based on described image
Corresponding second outer circle of spherical shell；Quality information obtains module, for according to first outer circle and/or second outer circle
Obtain Quality estimation information corresponding with the quick-fried pearl；Wherein, the Quality estimation information includes: the of first outer circle
In the distance of center circle of one outside diameter, the second outside diameter of second outer circle and first outer circle and second outer circle
At least one information；Quality estimation module, for determining whether the quick-fried pearl is qualified based on the Quality estimation information.
Optionally, the Quality estimation module is also used to according to preset detected rule and straight based on first outer circle
At least one information in diameter, second outside diameter and the distance of center circle determines whether the quick-fried pearl is qualified.
Optionally, the quality information obtains module, is also used to determine the internal layer ball based on first outside diameter
First mass of body；Whether the Quality estimation module is also used to judge first mass in preset first mass section
It is interior, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
Optionally, the quality information obtains module, for determining first mass
Wherein, D1 is first outside diameter, ρ1For the material density of the internal layer sphere.
Optionally, the quality information obtains module, for straight based on second outside diameter and first outer circle
Diameter determines the second mass of the outer layer spherical shell；Whether the Quality estimation module is also used to judge second mass
In preset second mass section, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
Optionally, the quality information obtains module, for determining second mass
Wherein, D1 is first outside diameter, and D2 is second outside diameter, ρ2For the outer layer spherical shell
Material density.
Optionally, the Quality estimation module, be also used to judge the distance of center circle whether in preset distance of center circle section,
Then determine that this quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
Optionally, described image processing module, for being carried out at edge detection based on edge detection operator to described image
Reason, extracts first outer circle, second outer circle from described image；Wherein, the edge detection operator includes: Canny
Operator.
Optionally, described image processing module, for carrying out edge detection to described image based on edge detection operator
Before processing, it is filtered using smoothing filter to described image；To the described image after being filtered according to
Secondary progress gray processing and binary conversion treatment.
Optionally, described image obtains module, and the quick-fried pearl that quick-fried pearl generating means produce is clapped for obtaining filming apparatus
The described image taken the photograph；The Quality estimation module is also used to set the monitoring period, based on the Quality estimation information acquisition in institute
State the quick-fried pearl disqualification rate in the monitoring period；If the quick-fried pearl disqualification rate is more than preset disqualification rate threshold value, issue
Warning note, and the quick-fried pearl for monitoring the quick-fried pearl generating means production in the period herein is collected, carry out rejecting processing.
According to the another aspect of the disclosure, a kind of quick-fried pearl detection device is provided, comprising: memory；And it is coupled to described
The processor of memory, the processor is configured to the instruction based on storage in the memory, executes as described above
Method.
According to the another aspect of the disclosure, a kind of quick-fried pearl detection system is provided, comprising: quick-fried pearl detection dress as described above
It sets, filming apparatus.
According to the another further aspect of the disclosure, a kind of computer readable storage medium, the computer-readable storage medium are provided
Matter is stored with computer instruction, and described instruction is executed by processor method as described above.
Quick-fried pearl detection method, device, system and the storage medium of the disclosure, based in the acquisition of quick-fried pearl image and quick-fried pearl
Corresponding first outer circle of layer sphere, the second outer circle corresponding with the outer layer spherical shell of quick-fried pearl, according to outside the first outer circle, second
Circle obtains Quality estimation information corresponding with quick-fried pearl, comprising: outside the first outside diameter of the first outer circle, the second of the second outer circle
At least one information in circular diameter and the distance of center circle of the first outer circle and the second outer circle, determines quick-fried pearl based on Quality estimation information
It is whether qualified；It can reduce the labor intensity of artificial detection, improve detection efficiency and detection accuracy, can be improved quick-fried pearl finished product
Quality stability improves the qualification rate of quick-fried pearl finished product.
Detailed description of the invention
In order to illustrate more clearly of the embodiment of the present disclosure or technical solution in the prior art, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only
Some embodiments of the present disclosure, for those of ordinary skill in the art, without any creative labor, also
Other drawings may be obtained according to these drawings without any creative labor.
Fig. 1 is the flow diagram according to one embodiment of the quick-fried pearl detection method of the disclosure；
Fig. 2 is image schematic diagram of the filming apparatus for quick-fried pearl (wet pearl) shooting to be detected；
Fig. 3 is to obtain corresponding with the internal layer sphere of quick-fried pearl the first outer circle, corresponding with the outer layer spherical shell of quick-fried pearl
The schematic diagram of second outer circle and distance of center circle；
Fig. 4 A is the schematic diagram of a scenario that vision-based detection is carried out to quick-fried pearl；Fig. 4 B is the straight of the quick-fried pearl finished product that artificial detection obtains
Diameter distribution schematic diagram；Fig. 4 C is the diameter distribution schematic diagram for the quick-fried pearl finished product that the quick-fried pearl detection system of the disclosure detects；Figure
4D is the pressure distribution situation for the quick-fried pearl finished product that artificial detection obtains；Fig. 4 E is what the quick-fried pearl detection system of the disclosure detected
The pressure distribution situation of quick-fried pearl finished product；
Fig. 5 is the module diagram according to one embodiment of the quick-fried pearl detection device of the disclosure；
Fig. 6 is the module diagram according to another embodiment of the quick-fried pearl detection device of the disclosure.
Specific embodiment
The disclosure is described more fully with reference to the accompanying drawings, wherein illustrating the exemplary embodiment of the disclosure.Under
Face will combine the attached drawing in the embodiment of the present disclosure, and the technical solution in the embodiment of the present disclosure is clearly and completely described, and show
So, described embodiment is only disclosure a part of the embodiment, instead of all the embodiments.Based on the reality in the disclosure
Example is applied, every other embodiment obtained by those of ordinary skill in the art without making creative efforts all belongs to
In the range of disclosure protection.
Fig. 1 is according to the flow diagram of one embodiment of the quick-fried pearl detection method of the disclosure, as shown in Figure 1:
Step 101, filming apparatus is obtained for the image of quick-fried pearl shooting to be detected.
Filming apparatus can be camera etc., and the picture format of shooting includes: bmp, jpeg, png etc..Quick-fried pearl is bilayer sphere
Structure, quick-fried pearl can be quick-fried pearl of filter stick etc..The bilayer sphere structure of quick-fried pearl includes internal layer sphere and outer layer spherical shell, internal layer ball
The material of body is essence etc., and the material of outer layer spherical shell is other wall material materials.During quick-fried droplet, shooting dress is obtained
The image for quick-fried pearl shooting to be detected is set, quick-fried pearl image is as shown in Figure 2.
Step 102, the first outer circle corresponding with the internal layer sphere of quick-fried pearl, the outer layer with quick-fried pearl are obtained respectively based on image
Corresponding second outer circle of spherical shell.As shown in figure 3, can be obtained based on image analysis corresponding with the internal layer sphere of quick-fried pearl
First outer circle 32, the second outer circle 33 corresponding with the outer layer spherical shell of quick-fried pearl.
Step 103, Quality estimation information corresponding with quick-fried pearl, quality are obtained according to the first outer circle and/or the second outer circle
Judge that information includes: the first outside diameter of the first outer circle, the second outside diameter of the second outer circle and the first outer circle and second
At least one information in the distance of center circle of outer circle.
Step 104, determine whether quick-fried pearl is qualified based on Quality estimation information.It according to preset detected rule and can be based on
At least one information in first outside diameter, the second outside diameter and distance of center circle determines whether quick-fried pearl is qualified.
Quick-fried pearl detection method in above-described embodiment passes through every wet pearl during Automatic Visual Inspection method acquisition dripping
Interior circular diameter, outside diameter and distance of center circle, can by calculate certain period of time dripping during wet pearl qualification rate, when
Qualification rate is lower than required index, will carry out warning note, and the wet pearl collected in time period is rejected, can not only mention
The quality stability of high quick-fried pearl finished product, also improves the yield of quick-fried pearl finished product.
In one embodiment, the first mass that internal layer sphere is determined based on the first outside diameter judges that the first mass is
It is no in preset first mass section, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
Determine the first mass
Wherein, D1 is the first outside diameter, ρ1For the material density of internal layer sphere.
The second mass that outer layer spherical shell is determined based on the second outside diameter and the first outside diameter, judges the second mass
Whether in preset second mass section, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
Determine the second mass
Wherein, D1 is the first outside diameter, and D2 is the second outside diameter, ρ1For the material density of internal layer sphere, ρ2For outer layer
The material density of spherical shell.
Judge distance of center circle whether in preset distance of center circle section, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this is quick-fried
Pearl is unqualified.
In one embodiment, edge detection process is carried out to image based on edge detection operator, the is extracted from image
One outer circle, the second outer circle, edge detection operator can be using a variety of, such as Laplace operator, Canny operator etc..
Canny operator, which is one, to be had filtering, enhances, the multistage Optimizing operator of detection function.Before being handled,
Canny operator is using Gaussian filter come smoothed image to remove denoising.Canny partitioning algorithm is had using single order local derviation
Difference is limited to calculate gradient magnitude and direction, non-maxima suppression is carried out to gradient magnitude, is detected and is connected with dual threashold value-based algorithm
The edge of image to be processed is searched at edge.
The boundary of regions of different colours is exported with lines of outline using the edge detection algorithm of Canny operator, edge inspection
The edge contour lines that image to be processed can be shown in image after survey can be incited somebody to action using the edge detection algorithm of Canny operator
Boundary between main body and edge is exported with lines of outline, i.e., the first outer circle, the second outer circle are extracted from image.
In one embodiment, before carrying out edge detection process to image based on edge detection operator, using smooth
Filter is filtered to image, successively carries out gray processing and binary conversion treatment to the image after being filtered.
In order to guarantee the reliability of edge detection process, edge inspection is being carried out to image to be processed based on edge detection operator
Before survey processing, image to be processed is filtered using smoothing filter.A variety of smoothing filters can be used, such as
Using Gaussian filter, gaussian filtering template is generated based on Gaussian function and filter scales σ, using gaussian filtering template pair
Image to be processed carries out convolution algorithm, can make image to be processed while inhibiting imaging surface picture noise to be processed
Edge is sharper keen.
Gray processing and binary conversion treatment are carried out to image.The binary conversion treatment of image is to set the gray value of the point on image
It is 0 or 255, that is, whole image is showed into apparent black and white effect.Binary conversion treatment is carried out to image, to by two-value
Change treated image and be based on edge detection operator and edge detection process is carried out to image, the first outer circle, the are extracted from image
Two outer circles
In one embodiment, the image for the quick-fried pearl shooting that filming apparatus produces quick-fried pearl generating means is obtained.Setting
The period is monitored, the quick-fried pearl disqualification rate based on Quality estimation information acquisition within the monitoring period, if quick-fried pearl disqualification rate is more than
Preset disqualification rate threshold value then issues warning note, and collects the quick-fried pearl of monitoring period implosion pearl generating means production herein,
Carry out rejecting processing.
As shown in Figure 4 A, on quick-fried droplet machine install filming apparatus 40, filming apparatus 40 have camera lens 41, generation it is quick-fried
Pearl 42 is transported in glass reinforced plastic pipe 43, and quick-fried pearl 42 is transported to upstream device by glass reinforced plastic pipe 43, in the another of glass reinforced plastic pipe 43
Light source 44 is arranged in side.Image analysis is carried out to the image for the quick-fried pearl 42 that filming apparatus 40 is shot, obtains every during dripping
The interior circular diameter D of wet pearl1, outside diameter D2And distance of center circle.By formula 1-1 and 1-2, the inner circle that can convert essence weight m1
With outer circle wall material weight m2。
The period of monitoring is set, essence weight and wall material weight and distance of center circle are more than regulation to statistics within the time period
Wet pearl in range, and calculate disqualification rate.When disqualification rate is more than to limit to require, system issues warning note, convenient for operation
The timely adjusting process parameter of personnel.The form of wet pearl is collected using rotating circular disc, i.e., 10 collection baskets are put into rotating circular disc,
When the wet pearl disqualification rate of certain period is exceeded, the corresponding wet pearl collected in basket will pick as rejected product in time period
It removes, carries out automatic rejection.
In one embodiment, during quick-fried droplet, carry out artificial detection and by Automatic Visual Inspection method into
Row comparative experiments.When carrying out artificial detection, the Weight control index during quick-fried droplet system: single wet pearl, essence is set first
Fluctuation range 25-27mg, wall material fluctuation range 60-65mg.Operator is in 1 hour, and the 20 wet pearls of collection in every 20 minutes are whole
A dripping process detects 3 times altogether, totally 60 wet pearls, and the detection of essence weight and wall material weight is carried out by electronic balance, when
Wet pearl essence weight or wall material weight are more than fluctuation range, are considered as rejected product rejecting, qualified wet pearl carry out subsequent drying and
Washing process obtains quick-fried pearl finished product, and the quick-fried pearl progress diameter of 50 finished products and pressure index is taken to be detected, and calculates standard deviation
Difference.The diameter of the quick-fried pearl finished product that artificial detection obtains, pressure distribution schematic diagram as shown in Fig. 4 B, 4C.
When carrying out online vision-based detection using the quick-fried pearl detection method of the disclosure, the weight during quick-fried droplet system is set first
Measure Con trolling index: essence fluctuation range 25-27mg, wall material fluctuation range 60-65mg, distance of center circle < 1mm.Online vision-based detection is set
The standby complete monitoring in 1 hour, 5 wet pearls per second detect about 18000 wet pearls altogether, carry out within software every 1 minute counting once not
Qualification rate, when wet pearl essence weight, wall material weight and distance of center circle be more than fluctuation range, be considered as rejected product, when disqualification rate is big
When 15%, rotating circular disc corresponds to the wet pearl collected in time period will be by automatic rejection.Qualified wet pearl carries out subsequent drying
And washing process, quick-fried pearl finished product is obtained, and the diameter of 50 quick-fried pearls of finished product and pressure index is taken to be detected, calculates standard deviation
Difference.Shown using the distribution that the quick-fried pearl detection method of the disclosure carries out the diameter, pressure for the quick-fried pearl finished product that online vision-based detection obtains
It is intended to as shown in Fig. 4 D, 4E.
The obtained quick-fried pearl finished product of online vision-based detection is carried out by the quick-fried pearl detection method of artificial detection and the disclosure
Physical index and yield such as the following table 1 are shown:
| Artificial detection | Online vision-based detection | |
| Diameter mean value | 3.55mm | 3.54mm |
| Diameter standard deviations | 0.097 | 0.051 |
| Pressure mean value | 1.68kg | 1.72kg |
| Pressure criteria deviation | 0.374 | 0.156 |
| Yield | 70% | 95% |
Table 1- by the quick-fried pearl detection method of artificial detection and the disclosure carry out the online obtained quick-fried pearl of vision-based detection at
The physical index and yield table of product
From table 1 it follows that utilizing the quick-fried pearl finished diameter and pressure mark of online vision-based detection compared with artificial detection
Quasi- deviation is all decreased obviously, and yield improves 23%.
In one embodiment, as shown in figure 5, the disclosure provides a kind of quick-fried pearl detection device, comprising: image obtains module
51, image processing module 52, quality information obtain module 53 and Quality estimation module 54.Image obtains module 51 and obtains shooting dress
The image for quick-fried pearl shooting to be detected is set, quick-fried pearl is bilayer sphere structure.Image processing module 52 is based on image and obtains respectively
Obtain the first outer circle corresponding with the internal layer sphere of quick-fried pearl, corresponding second outer circle with the outer layer spherical shell of quick-fried pearl.
Quality information obtains module 53 and obtains Quality estimation corresponding with quick-fried pearl according to the first outer circle and/or the second outer circle
Information, Quality estimation information include: the first outside diameter of the first outer circle, the second outer circle the second outside diameter and first outside
At least one information in the round distance of center circle with the second outer circle.Quality estimation module 54 determines that quick-fried pearl is based on Quality estimation information
No qualification.Quality estimation module 54 can according to preset detected rule and based on the first outside diameter, the second outside diameter and
At least one information in distance of center circle determines whether quick-fried pearl is qualified.
In one embodiment, quality information obtains the first matter that module 53 determines internal layer sphere based on the first outside diameter
Amount.Whether Quality estimation module 54 judges the first mass in preset first mass section, it is determined that this quick-fried pearl is qualified, if
It is no, it is determined that this quick-fried pearl is unqualified.
Quality information obtains module 53 and determines the first mass
Wherein, D1 is the first outside diameter, ρ1For the material density of internal layer sphere.
Quality information obtains module 53 and determines the of outer layer spherical shell based on the second outside diameter and the first outside diameter
Two mass.Whether Quality estimation module 54 judges the second mass in preset second mass section, it is determined that this quick-fried pearl is qualified,
If it is not, then determining that this quick-fried pearl is unqualified.
Quality information obtains module 53 and determines the second mass
Wherein, D1 is the first outside diameter, and D2 is the second outside diameter, ρ2For the material density of outer layer spherical shell.
Whether Quality estimation module 54 judges distance of center circle in preset distance of center circle section, it is determined that this quick-fried pearl is qualified, such as
Fruit is no, it is determined that this quick-fried pearl is unqualified.
In one embodiment, image processing module 52 is based on edge detection operator and carries out edge detection process to image,
The first outer circle, the second outer circle are extracted from image, edge detection operator includes: Canny operator.Image processing module 52 is being based on
Before edge detection operator carries out edge detection process to image, it is filtered using smoothing filter to image, it is right
Image after being filtered successively carries out gray processing and binary conversion treatment.
Image obtains the image that module 51 obtains the quick-fried pearl shooting that filming apparatus produces quick-fried pearl generating means.Quality is sentenced
The disconnected setting of module 54 monitoring period, the quick-fried pearl disqualification rate based on Quality estimation information acquisition within the monitoring period；If quick-fried pearl
Disqualification rate is more than preset disqualification rate threshold value, then Quality estimation module 54 issues warning note, and collects monitoring week herein
The quick-fried pearl of phase implosion pearl generating means production, carries out rejecting processing.
Fig. 6 is the module diagram according to another embodiment of the quick-fried pearl detection device of the disclosure.As shown in fig. 6, should
Device may include memory 61, processor 62, communication interface 63 and bus 64.Memory 61 for storing instruction, processor
62 are coupled to memory 61, and processor 62 is configured as realizing above-mentioned quick-fried pearl detection based on the instruction execution that memory 61 stores
Method.
Memory 61 can be high speed RAM memory, nonvolatile memory (non-volatile memory) etc., deposit
Reservoir 61 is also possible to memory array.Memory 61 is also possible to by piecemeal, and block can be combined into virtually by certain rule
Volume.Processor 62 can be central processor CPU or application-specific integrated circuit ASIC (Application Specific
Integrated Circuit), or be arranged to implement the integrated electricity of one or more of the quick-fried pearl detection method of the disclosure
Road.
In one embodiment, the disclosure provides a kind of quick-fried pearl detection system, including the quick-fried pearl in any embodiment as above
Detection device, filming apparatus.
In one embodiment, the disclosure provides a kind of computer readable storage medium, and computer readable storage medium is deposited
Computer instruction is contained, the method for being executed by processor any embodiment as above is instructed.
Quick-fried pearl detection method, device, system and the storage medium provided in above-described embodiment is obtained based on quick-fried pearl image
The first outer circle corresponding with the internal layer sphere of quick-fried pearl, corresponding second outer circle with the outer layer spherical shell of quick-fried pearl, according to first
Outer circle, the second outer circle obtain Quality estimation information corresponding with quick-fried pearl, comprising: the first outside diameter of the first outer circle, second
At least one information in second outside diameter of outer circle and the distance of center circle of the first outer circle and the second outer circle, is based on Quality estimation
Information determines whether quick-fried pearl is qualified；It can reduce the labor intensity of artificial detection, improve detection efficiency and detection accuracy, Neng Gouti
The quality stability of high quick-fried pearl finished product, improves the qualification rate of quick-fried pearl finished product.
Disclosed method and system may be achieved in many ways.For example, can by software, hardware, firmware or
Software, hardware, firmware any combination realize disclosed method and system.The said sequence of the step of for method is only
In order to be illustrated, the step of disclosed method, is not limited to sequence described in detail above, especially says unless otherwise
It is bright.In addition, in some embodiments, also the disclosure can be embodied as to record program in the recording medium, these programs include
For realizing according to the machine readable instructions of disclosed method.Thus, the disclosure also covers storage for executing according to this public affairs
The recording medium of the program for the method opened.
The description of the disclosure is given for the purpose of illustration and description, and is not exhaustively or by the disclosure
It is limited to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.It selects and retouches
Embodiment is stated and be the principle and practical application in order to more preferably illustrate the disclosure, and those skilled in the art is enable to manage
The solution disclosure is to design various embodiments suitable for specific applications with various modifications.
Claims (23)
1. a kind of quick-fried pearl detection method, comprising:
Filming apparatus is obtained for the image of quick-fried pearl shooting to be detected；Wherein, the quick-fried pearl is bilayer sphere structure；
Obtain the first outer circle corresponding with the internal layer sphere of the quick-fried pearl, the outer layer with the quick-fried pearl respectively based on described image
Corresponding second outer circle of spherical shell；
Quality estimation information corresponding with the quick-fried pearl is obtained according to first outer circle and/or second outer circle；
Wherein, the Quality estimation information include: the first outside diameter of first outer circle, second outer circle second outside
At least one information in circular diameter and the distance of center circle of first outer circle and second outer circle；
Determine whether the quick-fried pearl is qualified based on the Quality estimation information.
2. the method as described in claim 1, described to determine whether qualification includes: the quick-fried pearl based on the Quality estimation information
According to preset detected rule and based in first outside diameter, second outside diameter and the distance of center circle
At least one information determines whether the quick-fried pearl is qualified.
3. method according to claim 2, whether qualification includes: the determination quick-fried pearl
The first mass of the internal layer sphere is determined based on first outside diameter；
Judge first mass whether in preset first mass section, it is determined that this quick-fried pearl is qualified, if it is not, then determining
This quick-fried pearl is unqualified.
4. method according to claim 2, wherein
Determine first mass
Wherein, D1 is first outside diameter, ρ1For the material density of the internal layer sphere.
5. method according to claim 2, whether qualification includes: the determination quick-fried pearl
The second mass of the outer layer spherical shell is determined based on second outside diameter and first outside diameter；
Judge second mass whether in preset second mass section, it is determined that this quick-fried pearl is qualified, if it is not, then determining
This quick-fried pearl is unqualified.
6. method as claimed in claim 5, wherein
Determine second mass
Wherein, D1 is first outside diameter, and D2 is second outside diameter, ρ2For the material of the outer layer spherical shell
Density.
7. method according to claim 2, whether qualification includes: the determination quick-fried pearl
Judge the distance of center circle whether in preset distance of center circle section, it is determined that this quick-fried pearl is qualified, if it is not, then determining that this is quick-fried
Pearl is unqualified.
8. the method as described in claim 1, it is described obtained respectively based on described image it is opposite with the internal layer sphere of the quick-fried pearl
The first outer circle, the second outer circle corresponding with the outer layer spherical shell of the quick-fried pearl answered include:
Based on edge detection operator to described image carry out edge detection process, extracted from described image first outer circle,
Second outer circle；
Wherein, the edge detection operator includes: Canny operator.
9. method according to claim 8, wherein
Before carrying out edge detection process to described image based on edge detection operator, using smoothing filter to the figure
As being filtered；
Gray processing and binary conversion treatment are successively carried out to the described image after being filtered.
10. the method for claim 1, wherein
Obtain the described image for the quick-fried pearl shooting that filming apparatus produces quick-fried pearl generating means；
Setting monitoring period, the quick-fried pearl disqualification rate based on the Quality estimation information acquisition within the monitoring period；
If the quick-fried pearl disqualification rate is more than preset disqualification rate threshold value, warning note is issued, and collect and monitor herein
The quick-fried pearl of the quick-fried pearl generating means production, carries out rejecting processing in period.
11. a kind of quick-fried pearl detection device, comprising:
Image obtains module, for obtaining filming apparatus for the image of quick-fried pearl shooting to be detected；Wherein, the quick-fried pearl is double
Layer sphere structure；
Image processing module, for being obtained respectively based on described image outside the internal layer sphere corresponding first with the quick-fried pearl
Circle, the second outer circle corresponding with the outer layer spherical shell of the quick-fried pearl；
Quality information obtains module, opposite with the quick-fried pearl for being obtained according to first outer circle and/or second outer circle
The Quality estimation information answered；Wherein, the Quality estimation information includes: the first outside diameter of first outer circle, described
At least one information in second outside diameter of two outer circles and the distance of center circle of first outer circle and second outer circle；
Quality estimation module, for determining whether the quick-fried pearl is qualified based on the Quality estimation information.
12. device as claimed in claim 11, wherein
The Quality estimation module is also used to according to preset detected rule and based on first outside diameter, described second
At least one information in outside diameter and the distance of center circle determines whether the quick-fried pearl is qualified.
13. device as claimed in claim 12, wherein
The quality information obtains module, is also used to determine the first matter of the internal layer sphere based on first outside diameter
Amount；
Whether the Quality estimation module is also used to judge first mass in preset first mass section, it is determined that
This quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
14. device as claimed in claim 12, wherein
The quality information obtains module, for determining first mass
Wherein, D1 is first outside diameter, ρ1For the material density of the internal layer sphere.
15. device as claimed in claim 12, wherein
The quality information obtains module, described outer for being determined based on second outside diameter and first outside diameter
Second mass of layer spherical shell；
Whether the Quality estimation module is also used to judge second mass in preset second mass section, it is determined that
This quick-fried pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
16. device as claimed in claim 15, wherein
The quality information obtains module, for determining second mass
Wherein, D1 is first outside diameter, and D2 is second outside diameter, ρ2For the material of the outer layer spherical shell
Density.
17. device as claimed in claim 12, wherein
Whether the Quality estimation module is also used to judge the distance of center circle in preset distance of center circle section, it is determined that this is quick-fried
Pearl is qualified, if it is not, then determining that this quick-fried pearl is unqualified.
18. device as claimed in claim 11, wherein
Described image processing module, for carrying out edge detection process to described image based on edge detection operator, from the figure
First outer circle, second outer circle are extracted as in；
Wherein, the edge detection operator includes: Canny operator.
19. device as claimed in claim 18, wherein
Described image processing module, for adopting before carrying out edge detection process to described image based on edge detection operator
It is filtered with smoothing filter to described image；Gray processing is successively carried out to the described image after being filtered
And binary conversion treatment.
20. device as claimed in claim 11, wherein
Described image obtains module, for obtaining the figure for the quick-fried pearl shooting that filming apparatus produces quick-fried pearl generating means
Picture；
The Quality estimation module is also used to set the monitoring period, based on the Quality estimation information acquisition in the monitoring week
Quick-fried pearl disqualification rate in phase；If the quick-fried pearl disqualification rate is more than preset disqualification rate threshold value, warning note is issued,
And the quick-fried pearl for monitoring the quick-fried pearl generating means production in the period herein is collected, carry out rejecting processing.
21. a kind of quick-fried pearl detection device, comprising:
Memory；And it is coupled to the processor of the memory, the processor is configured to based on the storage is stored in
Instruction in device executes the method as described in any one of claims 1 to 10.
22. a kind of quick-fried pearl detection system, comprising:
Such as the described in any item quick-fried pearl detection devices of claim 11 to 21, filming apparatus.
23. a kind of computer readable storage medium, the computer-readable recording medium storage has computer instruction, described instruction
It is executed by processor method as claimed in any one of claims 1-9 wherein.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1943886A (en) * | 2006-10-13 | 2007-04-11 | 江苏大学 | Online detecting device and method based on computer vision for soft capsule quality |
| CN102369427A (en) * | 2009-03-23 | 2012-03-07 | 金希克股份有限公司 | Method and apparatus for detecting molecules |
| WO2013017198A1 (en) * | 2011-08-02 | 2013-02-07 | Focke & Co. (Gmbh & Co. Kg) | Method and device for visually inspecting objects to be tested during the production and/or packaging of cigarettes |
| CN104783824A (en) * | 2014-01-20 | 2015-07-22 | 上海联影医疗科技有限公司 | Calibration method for X-ray imaging system |
| CN206177262U (en) * | 2016-09-30 | 2017-05-17 | 武汉船舶设计研究院有限公司 | Explode pearl cigarette nondestructive detection system |
| CN207730680U (en) * | 2017-10-24 | 2018-08-14 | 南京文采科技有限责任公司 | A kind of quick-fried pearl cigarette filter quality detection device |
| CN109682305A (en) * | 2019-02-27 | 2019-04-26 | 厦门烟草工业有限责任公司 | Filter stick implosion pearl axial position detection device and method |
| CN109974606A (en) * | 2019-03-29 | 2019-07-05 | 云南安视智能设备有限公司 | A kind of method of dripping pill dimensional defects detection |
-
2019
- 2019-08-30 CN CN201910814886.6A patent/CN110514116A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1943886A (en) * | 2006-10-13 | 2007-04-11 | 江苏大学 | Online detecting device and method based on computer vision for soft capsule quality |
| CN102369427A (en) * | 2009-03-23 | 2012-03-07 | 金希克股份有限公司 | Method and apparatus for detecting molecules |
| WO2013017198A1 (en) * | 2011-08-02 | 2013-02-07 | Focke & Co. (Gmbh & Co. Kg) | Method and device for visually inspecting objects to be tested during the production and/or packaging of cigarettes |
| CN104783824A (en) * | 2014-01-20 | 2015-07-22 | 上海联影医疗科技有限公司 | Calibration method for X-ray imaging system |
| CN206177262U (en) * | 2016-09-30 | 2017-05-17 | 武汉船舶设计研究院有限公司 | Explode pearl cigarette nondestructive detection system |
| CN207730680U (en) * | 2017-10-24 | 2018-08-14 | 南京文采科技有限责任公司 | A kind of quick-fried pearl cigarette filter quality detection device |
| CN109682305A (en) * | 2019-02-27 | 2019-04-26 | 厦门烟草工业有限责任公司 | Filter stick implosion pearl axial position detection device and method |
| CN109974606A (en) * | 2019-03-29 | 2019-07-05 | 云南安视智能设备有限公司 | A kind of method of dripping pill dimensional defects detection |
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