CN112268905B - Image detection method for short fiber content in textile fiber - Google Patents
Image detection method for short fiber content in textile fiber Download PDFInfo
- Publication number
- CN112268905B CN112268905B CN202011161153.6A CN202011161153A CN112268905B CN 112268905 B CN112268905 B CN 112268905B CN 202011161153 A CN202011161153 A CN 202011161153A CN 112268905 B CN112268905 B CN 112268905B
- Authority
- CN
- China
- Prior art keywords
- whisker
- sample
- fiber
- curve
- short fiber
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000000835 fiber Substances 0.000 title claims abstract description 165
- 238000001514 detection method Methods 0.000 title claims abstract description 46
- 239000004753 textile Substances 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 26
- 238000006243 chemical reaction Methods 0.000 claims abstract description 6
- 238000004519 manufacturing process Methods 0.000 claims abstract description 5
- 229920000742 Cotton Polymers 0.000 claims description 11
- 239000000126 substance Substances 0.000 claims description 4
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 7
- 238000004422 calculation algorithm Methods 0.000 abstract description 6
- 230000005540 biological transmission Effects 0.000 abstract description 5
- 238000012423 maintenance Methods 0.000 abstract description 3
- 230000009897 systematic effect Effects 0.000 abstract description 3
- 239000000523 sample Substances 0.000 description 21
- 239000006101 laboratory sample Substances 0.000 description 8
- 235000003301 Ceiba pentandra Nutrition 0.000 description 7
- 244000146553 Ceiba pentandra Species 0.000 description 7
- 238000005259 measurement Methods 0.000 description 7
- 210000002268 wool Anatomy 0.000 description 7
- 238000009826 distribution Methods 0.000 description 6
- 239000002994 raw material Substances 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000007430 reference method Methods 0.000 description 5
- 238000009987 spinning Methods 0.000 description 5
- 238000010998 test method Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 239000011265 semifinished product Substances 0.000 description 4
- 238000002360 preparation method Methods 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 2
- 235000021018 plums Nutrition 0.000 description 2
- 206010020112 Hirsutism Diseases 0.000 description 1
- 230000000844 anti-bacterial effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 239000002657 fibrous material Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012634 optical imaging Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8444—Fibrous material
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30124—Fabrics; Textile; Paper
-
- 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
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Immunology (AREA)
- Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Treatment Of Fiber Materials (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention provides an image detection method for short fiber content in textile fibers, which comprises the following steps: step S1: preparing a double-end whisker sample from the sample, and scanning to obtain a light-transmitting image of the double-end whisker sample; step S2: obtaining a unilateral whisker curve by using a whisker light transmission and linear density conversion method; step S3: calculating the unilateral whisker cluster curve to obtain the sample short fiber content SFC w A detection value of (α); step S4: and (3) repeating the steps (S1) to (S3), manufacturing a plurality of double-end whisker samples for the same sample, respectively calculating to obtain each SFCw (alpha) detection value, and obtaining the average value as the final detection value of the short fiber content of the sample. The calculated value of the short fiber content obtained by calculation has no theoretical systematic error with the true value; the algorithm of the invention has clear principle, small calculated amount and convenience and rapidness; the proposal of the invention can directly adopt mature commercial general equipment to detect the content of the short fiber, and compared with other special automatic instruments, the proposal greatly reduces the purchase cost of the equipment and has extremely low use and maintenance cost.
Description
Technical Field
The invention belongs to the textile field, and particularly relates to an image detection method for short fiber content in textile fibers or a rapid low-cost detection method for short fiber content in textile fiber raw materials or spinning processing semi-finished products, which is suitable for short fiber content detection of cotton, chemical fiber short fibers, plush fibers and other textile natural fibers. .
Background
Textile fibers tend to be of varying lengths, and the length of the same batch of fibrous material is often characterized by a length distribution and several length indicators. The content of the fiber with the length smaller than a certain limit is called short fiber content, is an important quality index of textile fiber, can directly influence yarn tensile property, surface hairiness, fabric style and the like, and is an important basis for process design, equipment selection, product grading and trade pricing.
The manual detection method of the short fiber content comprises a manual displacement chart test method (Bayesian chart method), a roller type fiber length test method, a comb type fiber length test method and the like. The manual detection method has the problems of complex sample preparation, low detection speed and low stability, has high requirements on the skill proficiency of detection personnel, has large data difference among different detection personnel, and has hardly met the requirements of standardization and rapidness of the modern textile industry.
Currently, there are known automatic inspection apparatuses such as a camera method (represented by HVI apparatus), a single fiber rapid test method (represented by AFIS apparatus), a capacitive fiber length test method (represented by Almeter100 apparatus), and a progressive scan image method (represented by OFDA4000 apparatus). When the HVI is used for length measurement, a certain amount of loose fibers are firstly put into a cylindrical sampler with holes at the periphery, then the cylindrical sampler is rotated along the outer wall of the sampler by using a linear clamp, the fibers with the holes exposed are hooked and clamped, and the fibers are combed into a measurable whisker cluster by using a brush and are sent into a photoelectric detection area; the fiber segments near the cluster clamping line are excluded from the detection area due to unsound entanglement, but the short fibers are only present at the position, so that the HVI cannot directly measure the short fiber content, and only a short fiber characterization parameter, namely Short Fiber Index (SFI), can be calculated according to other measured indexes such as fiber strength, maturity and the like in combination with an empirical equation. The AFIS system calculates the length distribution index of the fiber sample by measuring the lengths of thousands of single fibers, and the built-in opening part of the AFIS system can cause fiber breakage when separating the fibers, so that the measurement result has deviation. The Almeter100 firstly uses a special manipulator to manufacture a cluster with one flush end, then the cluster passes through a capacitance sensor at a constant speed, the change information of the number of fibers in each cross section from the root to the tip of the cluster is calculated according to the capacitance deviation caused by the change of the fiber quantity in each cross section of the cluster, and finally a length distribution diagram is formed, and each length index is calculated. The OFDA4000 also needs to prepare a fiber bundle with one end flush, then measure the fiber number on every 5 mm cross section of the fiber bundle based on CCD microscopic imaging technology, and perform analog interpolation processing at 1 mm intervals, test 5 fiber bundles per sample, and calculate fiber length distribution in the fiber bundle and corresponding length indexes such as short fiber content according to the change of the fiber number of each cross section from the root to the tip of the fiber bundle.
The various automatic measuring systems have the advantages of being fast and efficient, saving manpower and the like. However, each measurement system has a large volume, the operation machinery and the electric appliance are complex, the manufacturing cost is high, and the maintenance cost is high because a constant temperature and humidity room is required to be equipped.
In 2012, the princess plums and Wu Gongyan propose a new method for rapidly measuring the fiber length at low cost (patent number ZL 201210106711.8), which comprises the steps of firstly preparing fiber strips with straight fibers, parallel fibers and random arrangement from a fiber sample to be measured, preparing special double-end whiskers Cong Shiyang, obtaining a transmission gray scale image of the whisker by using an optical imaging device, calculating a relation curve (abbreviated as a whisker curve) of the fiber quantity and the position on any cross section of the whisker by using the image, and finally calculating four indexes of weight weighted average length, main body length, quality length and length variation coefficient by using the whisker curve. The method can accurately measure a plurality of length distribution indexes in spinning raw materials or fiber strands in a short time by using imaging equipment with low cost and convenient carrying, and is derived from an innovative double-end whisker sample to a great extent. During sample preparation, any cross section of the fiber strip is clamped by a clamp, the axial direction of a clamping line and the fiber strip is vertical, and floating fibers which are not clamped are combed, so that the double-end whisker cluster with two conical end parts is obtained. Compared with other sample forms, the double-end whisker sample is quick in sample preparation, fibers in the whisker are straightened in parallel, and no undetectable dead zone exists, so that all length information (including short fiber information which is most easily lost by other methods) can be reflected in an image, and the possibility is created for accurate measurement of short fiber content.
In 2013, wangfu plum, jinjing and Chen Fei proposed a method for calculating the content of short fibers based on double-end whisker test samples (patent number: ZL 201310325921.0), firstly selecting geometric characteristic values possibly related to the content of short fibers from whisker curves, and then measuring the content of short fibers by other methods, thereby establishing a statistical regression equation or an empirical prediction equation on the basis of batch tests. The prediction accuracy of the method depends on the types and the numbers of samples in the previous batch test, and no other fibers except cotton and kapok are involved, so that the theoretical basis is weak, and the unreasonable phenomenon that a prediction equation of the fiber content below 16 mm does not contain the relevant variable of 16 mm and only contains the relevant variable of 12.7 mm occurs. In 2016, the Kingfu plum, xuegao, jinjingjingshi proposed a method for measuring and calculating the content of short fibers based on a model for gradually separating double-end whiskers (patent number: ZL 201610033913.2), and the content of short fibers with a specific length or less was calculated by gradually decomposing whiskers. The method has large calculated amount, and according to the theory of a gradual separation model, the amount of the separated short fibers only gradually approaches to a true value, and the true value can not be equal to the true value in theory forever; furthermore, the used whisker optics algorithms are defective, resulting in a calculated whisker curve that is "bald" shaped, rather than a theoretical "peaked" shape, which all lead to a systematic deviation risk of the test results. After that, the prince plums, chen Lijun, wu Meiqin and Zhao Lindi have obtained linear density coefficient curves and standard whisker curves (patent number: ZL 201611230426.1), which are helpful to obtain double-sided whisker curves closer to the theoretical shape, and lay a foundation for accurate extraction of various length indexes.
Disclosure of Invention
Aiming at the defects and the blank existing in the prior art, the invention provides an image detection method for the content of short fibers in textile fibers or a rapid low-cost detection method for the content of short fibers in textile fiber raw materials or spinning semi-finished products, which is suitable for detecting the content of short fibers of cotton, chemical fiber short fibers, plush fibers and other textile natural fibers.
The invention adopts the following technical scheme:
an image detection method for short fiber content in textile fibers is characterized by comprising the following steps:
step S1: preparing a double-end whisker sample from the sample, and scanning to obtain a light-transmitting image of the double-end whisker sample;
step S2: extracting a double-sided whisker curve F (L) from a light-transmitting image by using a whisker light-transmitting and linear density conversion method, folding the double-sided whisker curve F (L) along an ordinate axis, and averaging longitudinal coordinate values of two points with symmetrical abscissa values on the curve to obtain a single-sided whisker curve F (L) so as to reduce random errors caused by uneven fibers; the adopted whisker light transmission and linear density conversion method is a method provided in the Chinese patent ZL201611230426.1 linear density coefficient curve and the standard whisker curve acquisition method.
Step S3: applying the formula (1) to the unilateral whisker curve F (L) to calculate and obtain the sample short fiber content SFC w A detection value of (α);
SFC w (α)＝m×[αF′(α)-F(α)+1]-n (1)
wherein, alpha is the length limit of the short fiber, and the alpha values of different fibers are different in different countries and regions; f (α) is the ordinate of the single-ended whisker curve at the abscissa value α, F' (α) is the slope of the single-ended whisker curve at the abscissa value α, m, n are constants determined by the fiber type and the fiber straightness, and m=0 to 4, n=0 to 9;
step S4: and (3) repeating the steps (S1) to (S3), manufacturing a plurality of double-end whisker samples for the same sample, respectively calculating to obtain each SFCw (alpha) detection value, and obtaining the average value as the final detection value of the short fiber content of the sample.
Preferably, the sample is cotton or chemical fiber short fiber or plush fiber.
Preferably, in step S3, α has a value of 8 to 30 mm.
The invention and the preferable scheme thereof have the following beneficial effects: (1) The integral scheme is constructed on the basis of the whisker light transmission and linear density conversion algorithm, so that the whisker curve extracted from the image is more ideal and more approximate to the theoretical whisker curve form, and the accurate and effective calculation result of the short fiber content algorithm is ensured; (2) The calculated value of the short fiber content obtained by calculation has no theoretical systematic error with the true value; (3) The algorithm of the invention has clear principle, small calculated amount and convenience and rapidness; (4) The proposal of the invention can directly adopt mature commercial general equipment to detect the content of the short fiber, and compared with other special automatic instruments, the proposal greatly reduces the purchase cost of the equipment and has extremely low use and maintenance cost.
Drawings
The invention is described in further detail below with reference to the attached drawings and detailed description:
FIG. 1 is a schematic diagram of a double whisker Cong Shiyang (cotton fiber) provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of a light-transmitting scanned image of a double-end whisker in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of a two-sided tuft curve converted into a one-sided tuft curve according to an embodiment of the present invention;
fig. 4 is a schematic diagram of the calculation principle of the formula (1) according to the embodiment of the present invention.
Detailed Description
In order to make the features and advantages of the present patent more comprehensible, embodiments accompanied with figures are described in detail below:
the embodiment provides an image detection method for short fiber content in textile fiber raw materials and spinning processing semi-finished products, which comprises the following steps:
firstly, preparing a double-end whisker sample: taking a certain amount of fibers from laboratory samples (fiber raw materials or spinning processing semi-finished product slivers) to prepare fiber straightening and uniformly distributed strands, vertically clamping any cross section of the fiber with a special clamp, and combing off fibers which are not held at two sides of a clamping line to prepare double-end strands, wherein the double-end strands are as shown in figure 1;
secondly, placing the double end whisker cluster into a transmission scanner to scan to obtain an image thereof, as shown in fig. 2; extracting a double-sided whisker curve F (L) by using a whisker optical and linear density conversion algorithm, wherein the curve is a relation curve of the relative fiber quantity (number) and the position on any cross section of the whisker, and L is the position of any cross section of the whisker relative to a clamping line (L=0); then, folding the double-sided whisker curve along the ordinate axis, and averaging the ordinate values of two points with symmetrical abscissa values on the curve to obtain a single-sided whisker curve F (L) so as to reduce random errors caused by uneven fibers, as shown in figure 3; in the present embodiment, the adopted method for transmitting light from the whisker and converting the linear density is the method provided in the "method for obtaining the linear density coefficient curve and the standard whisker curve of the chinese patent ZL 201611230426.1".
Thirdly, calculating a detection value of the short fiber content SFCw (alpha) of the laboratory sample by using the formula (1), wherein alpha is the length limit of the short fiber and is generally 8-30 mm; f (α) is the ordinate of the single-ended whisker curve at the abscissa value α, F' (α) is the slope of the single-ended whisker curve at the abscissa value α, m, n are constants determined by the fiber type and the fiber straightness, and m=0 to 4, n=0 to 9.
SFC w (α)＝m×[αF′(α)-F(α)+1]-n (1)
And fourthly, repeating the three steps, preparing a plurality of double-end whisker clusters for the same laboratory sample, respectively calculating an SFCw (alpha) detection value, and calculating the average value of the detection values to obtain the final detection value of the short fiber content of the laboratory sample.
As shown in fig. 4, the technical principle of the present embodiment is as follows:
according to the published research literature, the tuft curve F (L) is plotted as a function of the fiber length, weight and frequency density p of laboratory samples w (l) The relation of (2) is:
p w (l)＝lF″(l) (2)
where l is the fiber length. According to the definition of the short fiber content, the calculation formula of the weight proportion SFCw (alpha) of the short fiber in the laboratory sample is as follows:
where α is the staple length limit. By combining formulas (2) and (3) and applying the fractional integration method, it is possible to obtain:
in theory, the short fiber content (weight ratio) of the laboratory sample can be calculated by applying the formula (4) to the whisker curve, but the precondition is that the fibers in the whisker are completely straightened, in fact, the natural textile fibers inevitably have certain deflection or curl, and the straightening degrees of the fibers of different types are different, so that the short fiber content calculated by the formula (4) is often different from the standard value measured by other current methods. In order to correct the deviation, the present embodiment establishes a mathematical model, performs a mass experiment for each fiber type, compares the calculation result of the formula (4) with the reference value measured by other methods, and determines the buckling correction coefficients m and n of various fibers by using a statistical method to obtain the final calculation formula (1) of the short fiber content (weight ratio).
Further description will be provided below with reference to specific examples.
Example 1
According to the national standard, the short fiber length limit of fine cotton wool is alpha=16 mm. Taking the fiber buckling coefficients m=0.93 and n=1.66 of the fine cotton wool, the formula (1) is converted into
SFC w (16)＝0.93×[16F′(16)-F(16)+1]-1.66 (5)
Optionally selecting three fine cotton wool samples with different short fiber contents, respectively from the United states, mexico and India, preparing 4 double-end whisker samples from each sample, obtaining a detection value by applying a formula (5) to each sample, and comparing the average value of the detection values of the 4 samples as a final detection value with the short fiber content measured by an AFIS instrument, wherein the invention has high consistency with a reference method as shown in the table 1.
TABLE 1 comparison of the short fiber content of the fine staple cotton detected by the present invention with the detection value of the AFIS reference method
Example 2
In recent years, kapok fiber is used as a raw material of natural fiber with antibacterial, mite-expelling, light and warm keeping effects, and is increasingly applied to textiles. Kapok fibers have a short average length, so α=12.7 mm, with reference to the cotton staple limits commonly used internationally; in addition, the kapok has better straightening degree, basically has no deflection or curl, and the formula (1) is converted into the following formula when the fiber buckling coefficient m=1.46 and n=6.37 is taken
SFC w (12.7)＝1.46×[12.7F′(12.7)-F(12.7)+1]-6.37 (6)
Randomly selecting three kapok fiber samples with different short fiber contents, namely, respectively from Indonesia and Hainan and Panzhihua of China, each of which is provided with 4 double-end whisker samples, wherein each sample is provided with a detection value by applying a formula (6), the average value of the detection values of the 4 samples is taken as a final detection value, and the detection value is compared with the detection of the short fiber length and the length distribution of the textile fiber according to GB/T16257-2008: the comparison of the short fiber content measured by the single fiber measurement method shows that the invention has high consistency with the reference method in the short fiber content measurement of novel fibers such as kapok fibers as shown in the table 2.
Table 2 comparison of short staple content of kapok detected by the present invention with reference method measurement
Example 3
The length of the wool fiber is longer, the curl is more, the short fiber length limit is generally used in China as alpha=30 mm, the invention takes the fiber buckling coefficients m=0.62 and n=2.29, and then the formula (1) is converted into
SFC w (30)＝0.62×[30F′(30)-F(30)+1]-2.29 (7)
Three wool fiber laboratory samples with different short fiber contents are selected at will, wherein the samples are respectively from inner Mongolia, australia and New Zealand of China, 4 whisker samples are manufactured, a whisker curve is extracted, then a formula (7) is applied to obtain detection values, the average value of the detection values of the 4 samples is used as a final detection value to be compared with the short fiber content (weight ratio) measured by an Almeter instrument, and the accuracy of the invention in the aspect of measuring the short fiber content of wool is shown in a table 3.
TABLE 3 comparison of the short fiber content of wool detected by the invention with the reference method measurement
| Sample of | The linter rate/% | Lint ratio/% | Rate of difference/% |
| Inner Mongolia wool | 4.5 | 4.1 | 8.89％ |
| Australian wool | 2.8 | 3.0 | -7.14％ |
| New Zealand wool | 4.0 | 3.7 | 7.50％ |
The present patent is not limited to the above-mentioned best mode, any person can obtain other various short fiber content image detection methods under the teaching of the present patent, and all equivalent changes and modifications made according to the scope of the present patent should be covered by the present patent.
Claims (3)
1. An image detection method for short fiber content in textile fibers is characterized by comprising the following steps:
step S1: preparing a double-end whisker sample from the sample, and scanning to obtain a light-transmitting image of the double-end whisker sample;
step S2: extracting a double-sided whisker curve F (L) from a light-transmitting image by using a whisker light-transmitting and linear density conversion method, folding the double-sided whisker curve along the ordinate axis, and averaging the ordinate values of two points with symmetrical abscissa values on the curve to obtain a single-sided whisker curve F (L); the unilateral whisker curve F (L) is a relation curve of relative fiber quantity and position on any cross section of the whisker, and L is the position of any cross section of the whisker relative to the clamping line;
step S3: applying the formula (1) to the unilateral whisker curve F (L) to calculate and obtain the sample short fiber content SFC w A detection value of (α);
SFC w (α)＝m×[αF′(α)-F(α)+1]-n(1)
wherein α is the length limit of the staple fiber; f (α) is the ordinate of the single-ended whisker curve at the abscissa value α, F' (α) is the slope of the single-ended whisker curve at the abscissa value α, m, n are constants determined by the fiber type and the fiber straightness, and m=0 to 4, n=0 to 9;
step S4: and (3) repeating the steps (S1) to (S3), manufacturing a plurality of double-end whisker samples for the same sample, respectively calculating to obtain each SFCw (alpha) detection value, and obtaining the average value as the final detection value of the short fiber content of the sample.
2. The method for image detection of short fiber content in textile fiber according to claim 1, wherein: the sample is cotton or chemical fiber short fiber or plush fiber.
3. The method for image detection of short fiber content in textile fiber according to claim 1, wherein: in step S3, the value of alpha is 8-30 mm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011161153.6A CN112268905B (en) | 2020-10-27 | 2020-10-27 | Image detection method for short fiber content in textile fiber |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011161153.6A CN112268905B (en) | 2020-10-27 | 2020-10-27 | Image detection method for short fiber content in textile fiber |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112268905A CN112268905A (en) | 2021-01-26 |
| CN112268905B true CN112268905B (en) | 2023-05-30 |
Family
ID=74341982
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011161153.6A Active CN112268905B (en) | 2020-10-27 | 2020-10-27 | Image detection method for short fiber content in textile fiber |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112268905B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106769652A (en) * | 2016-12-27 | 2017-05-31 | 东华大学 | The acquisition methods of line density coefficient curve and standard palpus complex curve |
| CN107622487A (en) * | 2017-09-18 | 2018-01-23 | 天津工业大学 | A kind of textile material fiber-wall-element model degree measuring method based on Short Time Fourier Transform |
| WO2019069954A1 (en) * | 2017-10-03 | 2019-04-11 | 国立大学法人名古屋大学 | Method for producing prepared slide for fiber length measurement, method for adjusting dispersion liquid for fiber length measurement, method for measuring fiber length, prepared slide for fiber length measurement, device for measuring fiber length, and program that controls device for measuring fiber length |
| CN109655000A (en) * | 2019-01-24 | 2019-04-19 | 上海康信光电仪器有限公司 | Cotton fiber length measuring system and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7345756B2 (en) * | 2003-01-07 | 2008-03-18 | Shofner Engineering Associates, Inc. | Image-based fiber length measurements from tapered beards |
-
2020
- 2020-10-27 CN CN202011161153.6A patent/CN112268905B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106769652A (en) * | 2016-12-27 | 2017-05-31 | 东华大学 | The acquisition methods of line density coefficient curve and standard palpus complex curve |
| CN107622487A (en) * | 2017-09-18 | 2018-01-23 | 天津工业大学 | A kind of textile material fiber-wall-element model degree measuring method based on Short Time Fourier Transform |
| WO2019069954A1 (en) * | 2017-10-03 | 2019-04-11 | 国立大学法人名古屋大学 | Method for producing prepared slide for fiber length measurement, method for adjusting dispersion liquid for fiber length measurement, method for measuring fiber length, prepared slide for fiber length measurement, device for measuring fiber length, and program that controls device for measuring fiber length |
| CN109655000A (en) * | 2019-01-24 | 2019-04-19 | 上海康信光电仪器有限公司 | Cotton fiber length measuring system and method |
Non-Patent Citations (2)
| Title |
|---|
| Jingye Jin 等.Measurement of short fiber contents in raw cotton using dual-beard images.《Textile Research Journal》.2018,第88卷全文. * |
| 金敬业 ; 杨欢 ; 吴美琴 ; 陈雪飞 ; 王府梅 ; .基于双端须丛试样的棉毛纤维长度频率分布测量.东华大学学报(自然科学版).2018,(第02期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112268905A (en) | 2021-01-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Thibodeaux et al. | Cotton fiber maturity by image analysis | |
| CN107515220B (en) | Yarn blackboard hairiness amount detection and evaluation method based on image processing | |
| CN112268905B (en) | Image detection method for short fiber content in textile fiber | |
| CN106407524B (en) | A kind of quantitative forecasting technique of spinning quality | |
| CN105548188B (en) | Based on it is random must clump progressively disjunctive model fiber short down rate survey calculation method | |
| Li et al. | A direct measurement method of yarn evenness based on machine vision | |
| CN103399013B (en) | SFCW (short fiber content by weight) measuring and computing method based on double-whisker imaging method | |
| Tesema et al. | Statistical analysis and instrumental characterization of commercial Ethiopian cotton varieties | |
| Ramey JR et al. | Relationships between short fiber content and HVI fiber length uniformity | |
| Hebert et al. | A New Single Fiber Tensile Tester1 | |
| Alagha et al. | The use of an image analysis technique for assessing the structural parameters of friction spun yarns | |
| CN104778709A (en) | Construction method of electronic blackboard based on yarn sequence images | |
| CN111340759B (en) | Appearance detection method of yarn three-dimensional model | |
| Bedez Üte et al. | Regressional estimation of cotton sirospun yarn properties from fibre properties | |
| Tesema et al. | Use of Span Lengths Extracted from the HVI Fibrogram to Predict Yarn Quality | |
| Tolmachov et al. | Application of arduino-like systems for determination of physical and mechanical indicators of flax fiber | |
| Damian Bel et al. | Fiber longitudinal measurements for predicting white speck contents of dyed cotton fabrics | |
| CN110389059A (en) | Cashmere fiber length testing at random must clump production method and detection method with both-end | |
| Delhom et al. | Single fiber testing via Favimat | |
| Hertel et al. | Factors affecting fiber length-scanning measurements | |
| Harzallah et al. | Macro and micro characterization of biopolymers: Case of cotton fibre | |
| Regar et al. | Fiber testing | |
| Xu et al. | Snippet counting for cotton length distribution measurement using image analysis | |
| Wu et al. | A new method for fiber length measurements–Dual-beard method | |
| Mohamed et al. | Spinning performance of ELS Egyptian cotton |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |