CN105674891B - A kind of detection method and evaluation method of filiform stem form - Google Patents
A kind of detection method and evaluation method of filiform stem form Download PDFInfo
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- CN105674891B CN105674891B CN201610059147.7A CN201610059147A CN105674891B CN 105674891 B CN105674891 B CN 105674891B CN 201610059147 A CN201610059147 A CN 201610059147A CN 105674891 B CN105674891 B CN 105674891B
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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
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
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Abstract
The present invention provides a kind of detection method of Filamentous stem form, successively the following steps are included: more stems in stem material to be detected are placed in detection platform one by one；It takes pictures to the stem in detection platform, obtains the digital picture of stem；Computer handles the digital picture of stem, obtains the projected image of stem；The area S for calculating the projected image of stem, determines the maximum length X of stem in the projected image of stem；The convex closure for obtaining the projected image of stem, calculates perimeter C, the stem fibre length L and stem mean breadth W of the convex closure；The filamentation degree R characterization of stem are as follows: R=W.By calculating the convex closure perimeter of stem projected image and the difference of maximum length as stem fibre length L in the application, stem fibre length L can preferably characterize the physical length of the stem in natural torsion state, and the stem mean breadth W being calculated accordingly is used to characterize the filamentation degree of stem more directly and accurately.
Description
Technical field
The present invention relates to tobacco manufacture fields, detection method and evaluation side more particularly to a kind of Filamentous stem form
Method.
Background technique
Stem is that common in cigarette composition mixes product, has that cheap, filling capacity is high, tar and harmful components are released
High-volume low advantage, while that woody odor is heavier, burn feeling is strong after there is also forms and cut tobacco compatibility poor, burning etc. is scarce
It falls into, therefore, stem is larger using relatively broad and dosage in Low-end Cigarettes at present, and stem dosage is less in middle-grade cigarette, high
Stem is not had to substantially in shelves cigarette.In addition, Low-end Cigarettes yield is quickly withered with the development of Chinese cigarette market product structure
Contracting, to cause the significant wastage of Chinese offal resource.
When offal is processed, offal forms stem product generally after over-voltage stalk, chopping, not according to specific process parameter
Together, final stem product can be roughly divided into " sheet " and " filiform " two kinds of forms, and no matter how process conditions change, stem
The stem of two kinds of forms is typically all and deposits in product, only relative scale difference.It is being rolled up because " sheet " stem is mixed
It will affect Cigarette Draw Resistance stability in cigarette, and be easy to be discovered by consumer, and then influence cigarette product quality, it is therefore, more
Tobacco enterprise is greatly developing " filiform " cut rolled stem processing procedure technology, in the process, with stem visual valuation " filiform " journey
The continuous improvement of degree develops the quantitative detecting method of Filamentous stem form, can mention for the further deep optimization of stem technique
For strong technical support.
Currently, also proposed the technical solution of some pairs of stem forms and characterization in the prior art, as application publication number is
The Chinese invention patent application specification of CN103344533A discloses a kind of detection method of granule peduncle partial size, using matlab
Image processing techniques carries out binary conversion treatment to the individual particle stalk photo acquired, and then seeks the area of granule peduncle and single
The partial size of granule peduncle realizes the quantitatively characterizing to granule peduncle partial size with this；But most tobacco enterprise is used at present
Stem form " sheet " or " filiform ", it is therefore, above-mentioned for characterizing the detection method application of granular granule peduncle partial size
Range is relatively narrow, is not suitable for the Morphological Characterization of " sheet " or " filiform " stem.
For another example the patent of invention specification of Publication No. CN103162626B is authorized to disclose a kind of cigarette cut stem form
Detection and quantitatively characterizing method, are handled using stem image of the image processing algorithm in computer to acquisition, and analysis is true
Determine each stem length in image, and using the length as the circumscribed circle diameter of each stem, calculates its external area of a circle；Stem is long
The determination of degree: is determined between two edge pixel points using the algorithm that traverses to two edges pixel any in stem image
Maximum distance is as the stem length；Furthermore the pixel number of each stem in statistical picture, according to single pixel point area,
Calculate each stem area in image；Finally, using the ratio of both stem area and the external area of a circle of stem as in image
The morphological indices of each stem, finally by morphological indices of the statistical value as sample stem of the morphological indices of a large amount of stems.It should
Method for some rules, linear stem Morphological Characterizations have the effect of it is certain, still, actually detected and practical tobacco
In production field in used " filiform " stem, most of stem is at irregular and natural torsion state, such as
Shown in Fig. 1, therefore, in the detection and quantitatively characterizing method of above-mentioned cigarette cut stem form, " determine between two edge pixel points most
It is used as the stem length at a distance " it cannot be used for curved stem, because in curved stem image, between two edge pixel points
Maximum distance L1 be not equal to the physical length L2+L3 of stem, so, the detection of above-mentioned cigarette cut stem form and quantitatively characterizing side
Method is not suitable in actual production in the Morphological Characterization of " filiform " stem of natural torsion shape.
Summary of the invention
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide a kind of detections of Filamentous stem form
Method, in the Morphological Characterization of " filiform " stem of natural torsion shape suitable for actual production.
To achieve the above object, the present invention provides a kind of detection method of Filamentous stem form, successively the following steps are included:
1), more stems in stem material to be detected are placed in detection platform one by one；
2), take pictures to the stem in detection platform, obtain the digital picture of stem, and by the Digital Image Transmission of stem and
It keeps in a computer；
3), computer handles the digital picture of the stem, obtains the projected image of stem；
4) the area S for, calculating the projected image of the stem determines most greatly enhancing for stem in the projected image of the stem
Spend X；
5) convex closure for, obtaining the projected image of the stem, calculates the perimeter C of the convex closure；
6), stem fibre length L=convex closure perimeter C- stem maximum length X；
The area S/ stem fibre length L of stem mean breadth W=stem projected image；
7), the filamentation degree R characterization of stem are as follows: R=W.
It further, further include feeding funnel, high frequency vibrating slot and transmission belt, the blanking port and high frequency of the feeding funnel
The feed inlet of vibration slot is connected, and the discharge port of high frequency vibrating slot is located at the surface of transmission belt, the upper surface of the transmission belt
Constitute the detection platform；
The step 1) successively the following steps are included:
11), stem material to be detected is placed in feeding funnel；
12), the stem material in feeding funnel is fallen in high frequency vibrating slot by the blanking port；
13) after, high frequency vibrating slot disperses stem material, stem material is shaken off in the upper surface of the transmission belt
On.
It preferably, further include the photographic system being mounted on right above transmission belt in the step 2), in the photographic system
Including the image acquisition device connecting with the computer communication, described image collector is by certain frequency to the stalk on transmission belt
Silk materials are taken pictures.
Further, in the step 3), it includes to stem that computer, which carries out processing to the digital picture of the stem,
Digital picture successively carries out gray processing processing, binary conversion treatment and edge detection processing.
Preferably, in the step 4), the area S calculation method of stem projected image are as follows: S=N*P, N are stem projection
The pixel number of image, P are the real area of single pixel point corresponding image in stem projected image.
Further, in the step 4), the determination method of stem maximum length X in stem projected image are as follows: using stalk
Described in the algorithm of any two edges pixel traversal in silk projected image, the maximum distance for determining between two edge pixel points are used as
Stem maximum length X in stem projected image.
Preferably, in the step 5), the week of the convex closure is calculated using Graham's Scan method or Jarvis step-by-step method
Long C.
The present invention also provides a kind of evaluation methods of Filamentous stem form, successively the following steps are included:
I, it samples: taking the stem material to be detected of 10g~20g；
II, it stem Morphology observation: is obtained using the detection method of Filamentous stem form as described above more in stem material
The filamentation degree R of root stem；
III, stem morphological assessment: more stems in stem material are divided by stem mean breadth W for several sections, system
Count that stem sum, stem in each stem mean breadth interval range account for total area ratio and stem accounts for gross area accumulation ratio.
As described above, the detection method and evaluation method of filiform stem form of the present invention, have below beneficial to effect
Fruit:
It is long as stem fiber by the convex closure perimeter of calculating stem projected image and the difference of maximum length in the application
L is spent, therefore, stem fibre length L can preferably characterize the physical length of the stem in natural torsion state, so, according to
This stem mean breadth W being calculated is used to characterize the filamentation degree of stem more directly and accurately, and then is Filamentous stalk
Accurately, effectively data are supported for the evaluation offer of filament shapes.
Detailed description of the invention
Fig. 1 is the stem in natural torsion state.
Fig. 2 is the convex closure of a stem.
Fig. 3 is the convex closure of another stem.
Fig. 4 is the location diagram in the application between feeding funnel, high frequency vibrating slot, transmission belt and photographic system.
Description of symbols:
1, feeding funnel；2, high frequency vibrating slot
3, transmission belt；4, image acquisition device
Specific embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book is understood other advantages and efficacy of the present invention easily.
It should be clear that this specification structure depicted in this specification institute accompanying drawings, ratio, size etc., only to cooperate specification to be taken off
The content shown is not intended to limit the invention enforceable qualifications so that those skilled in the art understands and reads, therefore
Do not have technical essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the present invention
Under the effect of can be generated and the purpose that can reach, it should all still fall in disclosed technology contents and obtain the model that can cover
In enclosing.Meanwhile cited such as "upper" in this specification, "lower", "left", "right", " centre " and " one " term, be also only
Convenient for being illustrated for narration, rather than to limit the scope of the invention, relativeness is altered or modified, in no essence
It changes under technology contents, when being also considered as the enforceable scope of the present invention.
The application provides a kind of detection method of Filamentous stem form, successively the following steps are included:
1), more stems in stem material to be detected are placed in detection platform one by one；
2) it, takes pictures to the stem in detection platform, obtains the digital picture of multiple single stems, and by the digitized map of stem
As transmission and keep in a computer；
3), computer handles the digital picture of the stem, obtains the projected image of stem, such as Fig. 2 or Fig. 3 institute
Show；
4) the area S for, calculating the projected image of the stem determines most greatly enhancing for stem in the projected image of the stem
X is spent, the maximum length X of the stem refers to: the maximum length in stem projected image, between any two edge pixel point；
5) convex closure of the projected image of the stem, is obtained, and calculates the perimeter C of the convex closure；
6), stem fibre length L=convex closure perimeter C- stem maximum length X；
The area S/ stem fibre length L of stem mean breadth W=stem projected image；
7), the filamentation degree R characterization of stem are as follows: R=W.
In the detection method of above-mentioned filiform stem form, the digital picture of stem, the projected image of stem, stem perspective view
Stem maximum length X in the area S of picture, stem projected image, the perimeter C of stem projected image convex closure, stem fibre length L,
The filamentation degree R of stem mean breadth W, stem is both for for single stem.
The application also provides a kind of evaluation method of Filamentous stem form, successively the following steps are included:
I, it samples: taking the stem material to be detected of 10g~20g；
II, it stem Morphology observation: is obtained using the detection method of Filamentous stem form as described above more in stem material
The filamentation degree R of root stem；
III, stem morphological assessment: more stems in stem material are divided by stem mean breadth W for several sections, system
Count that stem sum, stem in each stem mean breadth interval range account for total area ratio and stem accounts for gross area accumulation ratio.
Certainly, user can also can further calculate the aspect ratio features of stem, or the length to a large amount of stem samples according to demand
Degree, width characteristics are counted to evaluate the form of Filamentous stem.
In the detection method of above-mentioned filiform stem form, by calculating the convex closure perimeter C of stem projected image and most greatly enhancing
Spend stem fibre length L of the difference as the stem of X, therefore, obtained stem fibre length L very close to or say energy
Enough preferably characterizations are in the physical length of the stem of natural torsion state, so, the stem mean breadth W being calculated accordingly is used
It is more direct, accurate in the filamentation degree of characterization stem, and then the assessment for Filamentous stem form provides accurately, effectively
Data are supported.Stem mean breadth W is smaller, shows that stem is thinner, closer to filiform；Stem mean breadth W is bigger, shows to obstruct
Silk is thicker, closer to sheet；It can be quantitatively characterized by the appraisal procedure of the Filamentous stem form in the application, evaluate stalk
The fractions distribution of silk, convenient for, to the quantitative contrast of stem " filamentation " degree, obstructing in " filiform " stem process exploitation for " filiform "
The improvement of the process development projects of silk provides accurate data and supports, to be conducive to the development of " filiform " stem technique.
Further, above-mentioned steps 1) in, by more stems be placed in one by one detection platform can by being accomplished manually,
But since artificial cloth speed is lower, and stem sample size needed for counting, evaluating a stem sample is often larger.For
Eliminate it is artificial place the low problem of detection efficiency brought by Filamentous stem, in the application, as shown in figure 4, further including feeding
The blanking port of funnel 1, high frequency vibrating slot 2 and transmission belt 3, the feeding funnel 1 is connected with the feed inlet of high frequency vibrating slot 2,
The discharge port of high frequency vibrating slot 2 is located at the surface of transmission belt 3, and the upper surface of the transmission belt 3 constitutes the detection platform.
Therefore, the step 1) successively the following steps are included:
11), stem material to be detected is placed in feeding funnel 1；
12), the stem material in feeding funnel 1 is fallen in high frequency vibrating slot 2 by the blanking port；
13) after, high frequency vibrating slot 2 disperses stem material, stem material is shaken off in the upper end of the transmission belt 3
On face.
Stem material to be detected can be shaken using high frequency vibrating slot 2, the more stems dispersion in stem material is fallen in
On transmission belt 3, the speed of transmission belt 3 is adjusted, realization makes thinner to stem material, so as to greatly reduce between stem
Degree of overlapping, and the high degree of automation for artificial cloth, can be significantly increased detection efficiency, moreover it is possible to reduce artificial
Intervention to testing result provides strong premise guarantor to obtain the digital picture of accurate, reliable single stem in step 2)
Card.
It further, further include the photographic system being mounted on right above transmission belt 3, the photograph system in the step 2)
It include the image acquisition device 4 being connect with the computer communication in system, transmission belt 3 is by certain speed evenly to Forward
Dynamic, photographic system controls the shutter speed with higher of image acquisition device 4, so that described image collector 4 is by certain frequency
Rate takes pictures to more stems on transmission belt 3, the digital picture to obtain stem, while also by the stem digitized map of acquisition
As being transferred to computer and saving in a computer.Preferably, described image collector 4 can be camera, video camera, CCD
Industrial camera, scanner etc..
Further, in the step 3), it includes to stem that computer, which carries out processing to the digital picture of the stem,
Digital picture successively carries out gray processing processing, binary conversion treatment and edge detection processing.
Preferably, in the step 4), the area S calculation method of stem projected image are as follows: S=N*P, N are stem projection
The pixel number of image, P are the real area of single pixel point corresponding image in stem projected image, single pixel point institute
Corresponding real area can be determined according to the amplification factor of image.The determination of stem maximum length X in stem projected image
Method are as follows: using the algorithm of two edges pixel any in stem projected image traversal, determine between two edge pixel points most
At a distance as stem maximum length X in the stem projected image.
Further, in the step 5), the convex closure of stem projected image is made of more convex closure broken lines Y1, Y2, Y3 ...,
As shown in Figure 2 or Figure 3, therefore, Graham's Scan method can be used or Jarvis step-by-step method (also known as pack) calculates and constitutes stalk
The total length of more convex closure broken lines of silk projected image convex closure, to obtain the perimeter C of the convex closure of the stem projected image.
Embodiment: 10g is sampled to the Filamentous stem that certain engineer testing obtains, and is put into feeding funnel 1, in use
The multiple stem mean breadths section and each stem that the detection method and evaluation method for stating Filamentous stem form are counted on are flat
Stem sum, stem in equal width interval range account for total area ratio and stem to account for gross area accumulation ratio as shown in table 1.
The detection and evaluation result of the Filamentous stem form of table 1
In conclusion this application involves Filamentous stem form detection method and appraisal procedure have below beneficial to effect
Fruit:
1, high degree of automation, accurately and securely, testing result is few by manual intervention for the acquisition of stem digital picture；
2, stem fibre length L can preferably characterize the physical length of the stem in natural torsion state；
3, the quantitative detection and quantitative assessment filamentation to Filamentous stem are realized, is the process development projects of " filiform " stem
Improvement accurate data be provided support.
In conclusion the present invention effectively overcomes various shortcoming in the prior art and has high industrial utilization value.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (6)
1. a kind of detection method of filiform stem form, it is characterised in that: successively the following steps are included:
1), using feeding funnel, high frequency vibrating slot and transmission belt, the feed inlet of the blanking port and high frequency vibrating slot of the feeding funnel
It is connected, the discharge port of the high frequency vibrating slot is located at the surface of transmission belt, and the upper surface of the transmission belt constitutes detection
Platform；More stems in stem material to be detected are placed in detection platform one by one:
11), stem material to be detected is placed in feeding funnel；
12), the stem material in feeding funnel is fallen in high frequency vibrating slot by the blanking port；
13) after, high frequency vibrating slot disperses stem material, stem material is shaken off on the upper surface of the transmission belt；
2) photographic system, is installed right above the transmission belt, includes being connect with computer communication in the photographic system
Image acquisition device, the transmission belt are evenly moved forward by certain speed, and described image collector presses certain frequency pair
Stem in detection platform is taken pictures, and obtains the digital picture of stem, and by the Digital Image Transmission of stem and be maintained at the meter
In calculation machine；
3), computer handles the digital picture of the stem, obtains the projected image of stem；
4) the area S for, calculating the projected image of the stem, determines the maximum length X of stem in the projected image of the stem；
5), obtain the convex closure of the projected image of the stem, the convex closure of the stem projected image by more convex closure broken line Y1,
Y2, Y3 ... are constituted, and are calculated and are constituted the total length of the more convex closure broken lines of convex closure of stem projected image, obtain the perimeter of the convex closure
C；
6), stem fibre length L=convex closure perimeter C- stem maximum length X, the stem fibre length L are in nature for characterizing
The physical length of the stem of bending state；
The area S/ stem fibre length L of stem mean breadth W=stem projected image；
7), the filamentation degree R characterization of stem are as follows: R=W.
2. the detection method of filiform stem form according to claim 1, it is characterised in that: in the step 3), calculate
It includes gray processing processing successively being carried out to the digital picture of stem, at binaryzation that machine, which carries out processing to the digital picture of the stem,
Reason and edge detection processing.
3. the detection method of filiform stem form according to claim 1, it is characterised in that: in the step 4), stem
The area S calculation method of projected image are as follows: S=N*P, N are the pixel number of stem projected image, and P is stem projected image
The real area of middle single pixel point corresponding image.
4. the detection method of filiform stem form according to claim 1, it is characterised in that: in the step 4), stem
The determination method of stem maximum length X in projected image are as follows: using two edges pixel any in stem projected image traversal
Algorithm determines maximum distance between two edge pixel points as stem maximum length X in the stem projected image.
5. the detection method of filiform stem form according to claim 1, it is characterised in that: in the step 5), use
Graham's Scan method or Jarvis step-by-step method calculate the perimeter C of the convex closure.
6. a kind of evaluation method of filiform stem form, it is characterised in that: successively the following steps are included:
I, it samples: taking the stem material to be detected of 10g~20g；
II, stem Morphology observation: stalk is obtained using the detection method of Filamentous stem form as described in any one in claim 1-5
The filamentation degree R of more stems in silk materials；
III, stem morphological assessment: more stems in stem material divides by stem mean breadth W for several sections, are counted respectively
Stem sum, stem in stem mean breadth interval range account for total area ratio and stem accounts for gross area accumulation ratio.
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| CN106289070A (en) * | 2016-08-03 | 2017-01-04 | 上海创和亿电子科技发展有限公司 | The method measuring irregularly shaped object length and width |
| CN107798672B (en) * | 2016-08-31 | 2021-06-29 | 上海创和亿电子科技发展有限公司 | Method and system for measuring width of cut tobacco or cut stem and server with system |
| CN107084697B (en) * | 2017-04-20 | 2019-06-28 | 武汉新芯集成电路制造有限公司 | Storage unit distortion measurement method |
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