CN113607661A - Method for identifying leather product material based on hyperspectral imaging technology - Google Patents
Method for identifying leather product material based on hyperspectral imaging technology Download PDFInfo
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- CN113607661A CN113607661A CN202110811327.7A CN202110811327A CN113607661A CN 113607661 A CN113607661 A CN 113607661A CN 202110811327 A CN202110811327 A CN 202110811327A CN 113607661 A CN113607661 A CN 113607661A
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- 239000010985 leather Substances 0.000 title claims abstract description 92
- 239000000463 material Substances 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000000701 chemical imaging Methods 0.000 title claims abstract description 26
- 238000012795 verification Methods 0.000 claims abstract description 12
- 230000003595 spectral effect Effects 0.000 claims abstract description 5
- 238000003825 pressing Methods 0.000 claims description 14
- 238000001228 spectrum Methods 0.000 claims description 4
- 238000001035 drying Methods 0.000 claims description 3
- 239000000428 dust Substances 0.000 claims description 3
- 238000012843 least square support vector machine Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 239000004753 textile Substances 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 8
- 238000001514 detection method Methods 0.000 description 7
- 230000009471 action Effects 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000002649 leather substitute Substances 0.000 description 2
- 241000251468 Actinopterygii Species 0.000 description 1
- 241000283690 Bos taurus Species 0.000 description 1
- 241000282994 Cervidae Species 0.000 description 1
- 241000270722 Crocodylidae Species 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 241001494479 Pecora Species 0.000 description 1
- 241000270295 Serpentes Species 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 244000309466 calf Species 0.000 description 1
- 238000012993 chemical processing Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- LNNWVNGFPYWNQE-GMIGKAJZSA-N desomorphine Chemical compound C1C2=CC=C(O)C3=C2[C@]24CCN(C)[C@H]1[C@@H]2CCC[C@@H]4O3 LNNWVNGFPYWNQE-GMIGKAJZSA-N 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000002932 luster Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 231100000331 toxic Toxicity 0.000 description 1
- 230000002588 toxic effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- 238000009941 weaving Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/34—Purifying; Cleaning
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- 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
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
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- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
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Abstract
The invention discloses a method for identifying leather product materials based on a hyperspectral imaging technology, which specifically comprises the following steps: step 1, collecting a leather product sample; step 2, identifying a leather product sample by using a hyperspectral imaging device: scanning an acquired leather product sample by using a hyperspectral imaging device, acquiring a hyperspectral image, extracting the characteristic wavelength of a spectral curve of each pixel of the hyperspectral image, establishing a standard characteristic library based on the characteristic wavelength of the acquired leather product sample, and establishing a verification set based on the characteristic wavelength of a leather product to be detected; step 3, establishing a set of classifiers based on a plurality of groups of characteristic wavelengths of different leather products in the standard characteristic library; and 4, obtaining the material components of the leather product to be detected. The invention relates to the field of leather product identification, and particularly provides a hyperspectral imaging technology-based method for identifying leather product materials, which can be used for quickly, conveniently, accurately and losslessly obtaining material attributes of textiles.
Description
Technical Field
The invention relates to the field of leather product identification, in particular to a method for identifying a leather product material based on a hyperspectral imaging technology.
Background
The leather is animal skin which is obtained by physical and chemical processing such as unhairing, tanning and the like and is denatured and not easy to rot; the leather is formed by tightly weaving natural protein fibers in a three-dimensional space, and the surface of the leather is provided with a special grain layer which has natural grains and luster and comfortable hand feeling; the leather detection items mainly comprise PVC/PU detection, physical property detection, chemical property detection, color fastness, content determination, material identification, component analysis, toxic and harmful substance detection, environmental protection detection, azo detection and the like; the method has the advantages of complex analysis process, time and labor waste, certain danger, environmental friendliness, operation by experienced workers and easiness in influence of human factors.
Disclosure of Invention
In order to overcome the defects, the invention provides the method for identifying the leather product material based on the hyperspectral imaging technology, which can be used for quickly, conveniently, accurately and losslessly obtaining the material attribute of the textile.
The invention provides the following technical scheme: the invention relates to a method for identifying leather product materials based on a hyperspectral imaging technology, which specifically comprises the following steps:
and 4, obtaining the material components of the leather product to be detected: and comparing the plurality of groups of characteristic wavelengths in the classifier with the verification set, so as to identify and classify the verification set and finally obtain the material of the leather product to be detected.
Further, the hyperspectral imaging device adopts a hyperspectral image acquired on two sides, when the hyperspectral image acquired on two sides is adopted, the number of pixels with the same components extracted from the hyperspectral image on the front side and the hyperspectral image on the back side of the leather product to be detected are added, and the number of all the pixels extracted from the hyperspectral image acquired on two sides is divided, so that the material content of the leather product to be detected is obtained.
Further, the hyperspectral imager comprises a supporting base, a workbench, a hyperspectral imager and a clamping device, the hyperspectral imager is arranged on the supporting base, the workbench is arranged on the supporting base, the clamping device is positioned on one side of the workbench, the clamping device comprises a driving screw, a fixed block, a movable block, a guide plate, a rotating shaft, a pressing plate, a deflection rod, a guide post and a driving motor, the fixed block is arranged on the supporting base, a movable cavity with an opening on the top wall is arranged in the fixed block, the driving screw is rotatably arranged in the movable cavity, one end of the driving screw penetrates through the side wall of the movable cavity and is rotatably arranged on the rear side of the movable cavity, the driving motor is arranged on the supporting base, the driving screw is connected with an output shaft of the driving motor, and the movable block is connected with the driving screw through threads, the movable block is arranged in the movable cavity in a sliding mode, the rotating shaft is arranged on the movable block in a rotating mode, the pressing plate is arranged on the side wall of the rotating shaft and located at one end close to the workbench, the pressing roller is arranged on the side wall of the pressing plate, the deflection rod is arranged on the side wall of the rotating shaft, the guide column is arranged on the side wall of the deflection rod in a rotating mode, the guide plate is arranged on the supporting base, a guide sliding groove is formed in the guide plate and is arranged in an inverted V-shaped structure, the guide column is arranged in the guide sliding groove in a sliding mode and is arranged in parallel with the pressing plate, and the clamping device is symmetrically arranged in two groups about the central axis of the workbench.
Further, the driving motor is a forward and reverse rotating motor.
The invention with the structure has the following beneficial effects: compared with the traditional method for analyzing the process, the method for identifying the leather product material based on the hyperspectral imaging technology has the following advantages:
1. the pollution to the environment and the threat to the personal safety of operators in the traditional leather product material identification chemical identification process are avoided, the unreliability in the physical identification process is reduced, the complicated procedures in the system identification process are simplified, and the identification cost by using a precise instrument is reduced;
2. the method has the advantages of reliability and stability, and the whole process can be stored in a file form to facilitate subsequent reference for big data storage and analysis.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for identifying leather product materials based on hyperspectral imaging technology according to the invention;
FIG. 2 is a schematic structural diagram of a clamping device for a method for identifying a leather product material based on a hyperspectral imaging technology according to the invention;
FIG. 3 is a schematic structural diagram of a hyperspectral imaging device of a method for identifying a leather product material based on a hyperspectral imaging technology.
The hyperspectral imager comprises a supporting base 1, a supporting base 2, a workbench 3, a hyperspectral imager, 4, a clamping device 5, a driving screw rod 6, a fixed block 7, a moving block 8, a guide plate 9, a rotating shaft 10, a pressing plate 11, a deflection rod 12, a guide column 13, a driving motor 14, a moving cavity 15, a pressing roller 16 and a guide sliding groove.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments; all other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
As shown in fig. 1 to 3, the method for identifying a leather product material based on a hyperspectral imaging technology specifically comprises the following steps:
and 4, obtaining the material components of the leather product to be detected: and comparing the plurality of groups of characteristic wavelengths in the classifier with the verification set, so as to identify and classify the verification set and finally obtain the material of the leather product to be detected.
When the hyperspectral images collected on the two sides are adopted, the number of pixels with the same components extracted from the hyperspectral images on the front side and the hyperspectral images on the back side of the leather product to be detected is added, and the number of the pixels extracted from the hyperspectral images collected on the two sides is divided, so that the material content of the leather product to be detected is obtained. . The hyperspectral imaging device comprises a supporting base 1, a workbench 2, a hyperspectral imager 3 and a clamping device 4, the hyperspectral imager 3 is arranged on the supporting base 1, the workbench 2 is arranged on the supporting base 1, the clamping device 4 is positioned on one side of the workbench 2, the clamping device 4 comprises a driving screw 5, a fixed block 6, a movable block 7, a guide plate 8, a rotating shaft 9, a pressing plate 10, a deflection rod 11, a guide post 12 and a driving motor 13, the fixed block 6 is arranged on the supporting base 1, a moving cavity 14 with an opening at the top wall is arranged in the fixed block 6, the driving screw 5 is rotatably arranged in the moving cavity 14, one end of the driving screw 5 penetrates through the side wall of the moving cavity 14 and is rotatably arranged at the rear side of the moving cavity 14, the driving motor 13 is arranged on the supporting base 1, and the driving screw 5 is connected with an output shaft of the driving motor 13, the movable block 7 is arranged on the driving screw rod 5 through threaded connection, the movable block 7 is arranged in the movable cavity 14 in a sliding mode, the rotating shaft 9 is arranged on the movable block 7 in a rotating mode, the pressing plate 10 is arranged on the side wall of the rotating shaft 9, the pressing plate 10 is located on one end close to the workbench 2, the pressing roller 15 is arranged on the side wall of the pressing plate 10, the deflection rod 11 is arranged on the side wall of the rotating shaft 9, the guide post 12 is arranged on the side wall of the deflection rod 11 in a rotating mode, the guide plate 8 is arranged on the supporting base 1, the guide chute 16 is arranged on the guide plate 8, the guide chute 16 is arranged in an inverted V-shaped structure, the guide post 12 is arranged in the guide chute 16 in a sliding mode, the guide post 12 and the pressing plate 10 are arranged in parallel, and the clamping device 4 is symmetrically arranged in two groups about the axis of the workbench 2. The driving motor 13 is a forward and reverse rotating motor.
When the leather product sample is used specifically, in the step 1, the leather product sample comprises cow leather, crocodile leather, deer leather, calf leather, sheep leather, fish leather, pig leather, snake leather, artificial leather, synthetic leather and regenerated leather, and reference basis is provided for later identification matching.
In the step 2: the standard feature library comprises a plurality of characteristic wavelengths of leather products, and the verification set is a set of the characteristic wavelengths of each pixel in an effective area in a spectral image of the leather product to be detected; collecting leather products to be detected by utilizing a hyperspectral image technology with two-sided collection, placing the leather products to be detected on a workbench 2, starting a driving motor 13, driving a driving screw 5 to rotate by the driving motor 13, driving a moving block 7 to move by the driving screw 5, driving a guide post 12 to slide in a guide chute 16 by the moving block 7, when guide post 12 slides into 16 inclinations minutes of guide chute, guide post 12 drives deflection pole 11 and deflects, deflection pole 11 drives rotation axis 9 and rotates, rotation axis 9 drives pressure strip 10 and deflects, pressure strip 10 is parallel with workstation 2, pressure strip 10 moves down and compresses tightly the leather, pressure roll 15 of pressure strip 10 bottom rolls on waiting to detect the leather product, avoid compressing tightly the leather product that the in-process waited to detect and move at will, hyperspectral imager 3 gathers and waits to detect the leather product, extract the characteristic wavelength of this hyperspectral image's spectrum curve.
In the step 3: the identification and classification is to train the classifier by using a plurality of groups of characteristic wavelengths in a standard characteristic library.
In the step 4: and the classifier identifies the components of each pixel on the leather product to be detected in the verification set, and finally calculates the overall material components of the leather product to be detected.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. A method for identifying leather product materials based on a hyperspectral imaging technology is characterized by comprising the following steps:
step 1, collecting leather product samples: the leather product sample is subjected to surface dust removal, oil stain removal and drying, so that the characteristic wavelength of the leather product sample is prevented from being influenced by stains and water;
step 2, identifying a leather product sample by using a hyperspectral imaging device: scanning an acquired leather product sample by using a hyperspectral imaging device, acquiring a hyperspectral image, processing the hyperspectral image of the acquired leather product sample, extracting the characteristic wavelength of a spectral curve of each pixel of the hyperspectral image, establishing a standard characteristic library based on the characteristic wavelength of the acquired leather product sample, and establishing a verification set based on the characteristic wavelength of a leather product to be detected;
step 3, establishing a set of classifiers based on a plurality of groups of characteristic wavelengths of different leather products in the standard characteristic library: the classifier adopts two types of classifiers based on a least square support vector machine algorithm, and the two types of classifiers with the same quantity are established according to the type quantity of the leather product samples in the standard spectrum library;
and 4, obtaining the material components of the leather product to be detected: and comparing the plurality of groups of characteristic wavelengths in the classifier with the verification set, so as to identify and classify the verification set and finally obtain the material of the leather product to be detected.
2. The method for identifying the leather product material based on the hyperspectral imaging technology as claimed in claim 1, wherein: and when the hyperspectral images acquired on the two sides are adopted, adding the number of pixels with the same components extracted from the hyperspectral images on the front side and the hyperspectral images on the back side of the leather product to be detected, and dividing the number of the pixels extracted from the hyperspectral images acquired on the two sides to obtain the material content of the leather product to be detected.
3. The method for identifying the leather product material based on the hyperspectral imaging technology as claimed in claim 2, wherein: the hyperspectral imager comprises a supporting base, a workbench, a hyperspectral imager and a clamping device, the hyperspectral imager is arranged on the supporting base, the workbench is arranged on the supporting base, the clamping device is positioned on one side of the workbench, the clamping device comprises a driving screw, a fixed block, a moving block, a guide plate, a rotating shaft, a pressing plate, a deflection rod, a guide post and a driving motor, the fixed block is arranged on the supporting base, a moving cavity with an opening on the top wall is arranged in the fixed block, the driving screw is rotatably arranged in the moving cavity, one end of the driving screw penetrates through the side wall of the moving cavity and is rotatably arranged on the rear side of the moving cavity, the driving motor is arranged on the supporting base, the driving screw is connected with an output shaft of the driving motor, the moving block is arranged on the driving screw through threaded connection, and the moving block is slidably arranged in the moving cavity, the clamping device comprises a movable block, a clamping plate, a deflection rod, a guide post, a supporting base and clamping devices, wherein the movable block is arranged on the side wall of the rotating shaft in a rotating mode, the clamping plate is arranged on the side wall of the rotating shaft, the clamping plate is located at one end close to a workbench, the clamping roller is arranged on the side wall of the clamping plate, the deflection rod is arranged on the side wall of the rotating shaft, the guide post is arranged on the side wall of the deflection rod in a rotating mode, the guide plate is arranged on the supporting base in a rotating mode, a guide sliding groove is formed in the guide plate, the guide groove is in an inverted V-shaped structure, the guide post is arranged in the guide sliding groove in a sliding mode, the guide post and the clamping plate are arranged in parallel, and the clamping devices are symmetrically arranged in two groups about the central axis of the workbench.
4. The method for identifying the leather product material based on the hyperspectral imaging technology as claimed in claim 3, wherein: the driving motor is a forward and reverse rotating motor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110811327.7A CN113607661B (en) | 2021-07-19 | 2021-07-19 | Method for identifying leather product material based on hyperspectral imaging technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110811327.7A CN113607661B (en) | 2021-07-19 | 2021-07-19 | Method for identifying leather product material based on hyperspectral imaging technology |
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| CN113607661A true CN113607661A (en) | 2021-11-05 |
| CN113607661B CN113607661B (en) | 2024-01-16 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113887543A (en) * | 2021-12-07 | 2022-01-04 | 深圳市海谱纳米光学科技有限公司 | Luggage counterfeit discrimination method based on hyperspectral characteristics and spectrum acquisition device |
| CN116893134A (en) * | 2023-09-11 | 2023-10-17 | 佛山市杰德纺织有限公司 | Method for testing color fastness of jean |
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| CN104029151A (en) * | 2014-06-23 | 2014-09-10 | 力帆实业(集团)股份有限公司 | Angle-rotatable rapid pressing clamp |
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| CN116893134A (en) * | 2023-09-11 | 2023-10-17 | 佛山市杰德纺织有限公司 | Method for testing color fastness of jean |
| CN116893134B (en) * | 2023-09-11 | 2023-11-14 | 佛山市杰德纺织有限公司 | Method for testing color fastness of jean |
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|---|---|
| CN113607661B (en) | 2024-01-16 |
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