CN102539359A - Meat quality visualization detection device based on static hyperspectral imaging system - Google Patents
Meat quality visualization detection device based on static hyperspectral imaging system Download PDFInfo
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Abstract
The invention discloses a meat quality visualization detection device based on a static hyperspectral imaging system, which comprises a light chamber, an imaging system, an image processing and detecting arithmetic unit and a display unit; the light chamber is internally provided with a high-sensitivity camera, a detected object and a light source; the light chamber comprises two independent spaces; a light insulation plate with an observation hole is arranged between the two spaces; the imaging system and the detected object are respectively arranged in the two spaces; the light source is arranged in the space where the detected object is located; for the space of the imaging system, a data output end of the high-sensitivity camera is connected with a data input end of the image processing and detecting arithmetic unit; a display signal output end of the image processing and detecting arithmetic unit is connected with a display signal input end of the display unit; and a data signal output end of the image processing and detecting arithmetic unit is connected with an external equipment interface. According to the device provided by the invention, the detection result is correct and objective, and the expression manner is intuitive, so that guarantee is offered for the quality safety supervision in the production, storage, transportation and sale links of meat.
Description
Technical field
The present invention relates to a kind of device that detects to meat quality, adopt gazing type high light spectrum image-forming mode image data, present meat with visual means and detect index degree and the distribution situation in meat appearance, belong to food object technical field of nondestructive testing.
Background technology
China is the maximum economy of pork production and consumption, and the volume of production and marketing of pork occupies the No. 1 in the world throughout the year.But the measuring means to meat still rests on reduced levels; There are deficiencies such as subjectivity is big, index is single, length consuming time in traditional organoleptic detection, physics and chemistry and microorganism detection; The rig-site utilization inconvenience is so limited in the detection to meat of storage, transportation and sales section.
Emerging detection means has been as having opened up new approach based on the rise of detection methods such as Electronic Nose, conductivity, yellowish pink for the meat fast detecting, but these technology receive in varying degrees sample is had the restriction that destructiveness, testing result and traditional detection index receive factors such as the sample individual difference influences significantly.The harmless quick means of the multinomial index of quality of meat being carried out comprehensive detection still are in miss status at present.
Hyperspectral imager is used to gather the subrane spectrum respective image of measured target in certain wavelength coverage, obtains high spectrum cubic data.High light spectrum image-forming equipment is divided into gazing type, the type of pushing broom and wave three types on broom type.
1. gazing type high light spectrum image-forming equipment adopts face battle array image-generating unit subrane that measurand is carried out spectral scan; Per step obtains the image of the whole spatial detection scope of a reflection measured target internal information on the special spectrum wave band in the scanning process, necessarily scans the high spectrum image that obtains the reflection measured target spatial information in certain wavelength coverage after the step number.There is not the relative position motion during gazing type high light spectrum image-forming equipment images acquired between measured target and the imaging system.
2. the type of pushing broom high light spectrum image-forming equipment adopts face battle array image-generating unit; Per step obtains the spectral information in whole detection wavelength coverages on area of space of measured target in the scanning process, obtains the high spectral information on the whole area of space of measured target after necessarily scanning step number.The relative position motion need be arranged between the type of pushing broom high light spectrum image-forming mode imaging device and the measured target.
3. wave broom type high light spectrum image-forming equipment and adopt the linear array imaging unit; Per step obtains the spectral information in whole detection wavelength coverages in a point of the measured target zone in the scanning process, obtains the high spectral information on the whole area of space of measured target after necessarily scanning step number.The relative position motion need be arranged between the type of pushing broom high light spectrum image-forming mode imaging device and the measured target.
Static high light spectrum image-forming mode is meant that measured target and imaging system do not have relative motion in the high light spectrum image-forming process, belongs to static acquisition mode in essence like gazing type high light spectrum image-forming mode.The static collection is also included within the type of pushing broom of mixing the catoptron that carries out suitable spatial movement in the imaging system and waves broom type high light spectrum image-forming equipment.
The qualitative characteristics of meat is owing to receive the heterogeneity of meat autologous tissue composition and the impossible uniformity of heterogeneity effect of suffered environmental impact factor; So the detection to meat quality should reflect its internal feature index degree distribution situation spatially, but not only adopt mean value or typical value to reflect the overall condition of measurand.
Summary of the invention
The present invention detects its qualitative characteristics index degree in space distribution situation problem for solving meat static mode quick nondestructive, has proposed the visual pick-up unit of a kind of meat quality based on static Hyperspectral imager.
The visual pick-up unit of a kind of meat quality based on static Hyperspectral imager comprises light chamber, imaging system, Flame Image Process and detection calculations unit and display unit;
The light chamber is light tight space; The light chamber interior is provided with high sensitivity camera, measurand and light source; (camera sensitivity must be satisfied imaging demand behind process beam split or filtering device under the illuminated of not destroying the measurand quality in minimum imaging illumination and noise inhibition ability to; Like measurand is dried meat; Since insensitive to illumination and heat, the technical grade camera can be adopted; But like measurand is that cold fresh meat detects its freshness, then because it is very responsive to heat and intensity of illumination, then under the situation that reduces visual field illumination, possibly need to adopt Scientific Grade refrigeration camera or electron multiplication camera)
The light chamber comprises two separate spaces, is provided with the separated tabula rasa that has viewport between two spaces; Imaging system and measurand are located at respectively in two spaces;
For space, measurand place, light source is located in this space;
For space, imaging system place, imaging system comprises high sensitivity camera and camera lens thereof; The camera lens of high sensitivity camera is the resisting chromatic dispersion camera lens, between camera lens and camera, is provided with the filtering device that can carry out wave band scanning; Camera lens points to the viewport on tabula rasa; The high sensitivity camera is gathered the image of measurand through this viewport;
The data output end of said high sensitivity camera connects the data input pin of Flame Image Process and detection calculations unit; Flame Image Process is connected the shows signal input end of display unit with the shows signal output terminal of detection calculations unit; Flame Image Process is connected external apparatus interface with the data-signal output terminal of detection calculations unit.
Said smooth chamber is the opaque and inner confined space that is made up of the antiradar reflectivity material surface that can block the environment parasitic light.
Space, said measurand place is positioned at the top in space, light source place;
Said imaging system and measurand respectively at a distance from directly over the viewport position of tabula rasa with under;
Said light source should satisfy bright field and evenly throw light on, and can adopt the light source of annular light source or a plurality of symmetrical distributions, lays respectively at measurand top on every side;
The angle of light illumination should satisfy: when evenly covering measurand, avoid incident light and viewport to be the minute surface symmetry about the measurand surface, thereby cause the imaging system after a large amount of direct reflection light components get into camera lens and camera lens; " incident light " just is meant the light of light source irradiation on the measurand here.The entering viewport as long as the purpose of this technical scheme is to diffuse, and specular light is got rid of outside viewport.
Said measurand is on objective table.
Gather in the image process of measurand at the high sensitivity camera, the position between imaging system and the measurand is static relatively.
The said filtering device that carries out wave band scanning is:
The filtering device that Same Scene is scanned according to wavelength; Perhaps, the light-splitting device on all tested wave bands, scanning according to volume coordinate.
Be connected through wire cable or wireless transmission between the data input pin of the data output end of said high sensitivity camera and Flame Image Process and detection calculations unit.
Said light source comprises the composite light source that ultraviolet source or visible light source or near infrared and infrared light supply or aforementioned each wave band light source combine.
Image operation and detecting unit (12) carry out data analysis and visual detection according to the spectrum picture of imaging system collection input, and detailed process comprises:
A) earlier the spectrum picture of importing is carried out pre-service, select, and extract the relevant effective coverage in the spectrum picture to the spectral band image that detects index;
Dynamically adjust the measurand attitude according to the area (through objective table) of the relevant effective coverage that obtains again, make the area maximization of relevant effective coverage;
B) spectrum and image enhancement processing are carried out in the relevant effective coverage that step a) is obtained: improve the quality of data of relevant effective coverage in the spectrum picture through spectral filtering and image filtering; Simultaneously; Erosion operation is carried out in relevant effective coverage, remove the part that causes relevant effective coverage MARG quality to descend because of filter operator;
C) the relevant effective area data that step b) is obtained utilizes the spectroscopic data forecast model to carry out carrying out visual detection to detecting target.
The concrete steps of said step a) are:
Realize image segmentation according to the difference between background and the detection target earlier, reject background parts in the image, only keep and detect target as the relevant range in the spectrum picture; Subsequently; To spectrum and the characteristics of image of the relevant range in the image according to each sample portion in the spectrum picture; Extract fat, muscle, extravasated blood, high retroreflective regions in the measurand, and select corresponding image-region as detecting the effective coverage, promptly relevant effective coverage according to detecting the index needs;
Through dynamically adjusting the attitude of measurand, reduce to cause the area of surperficial high retroreflective regions in spectrum picture then, improve detecting the relevant effective coverage area of target detection because of detecting target surface form and attitude and light source geometric position.
Can carry out the filtering device of wave band scanning, can be the filtering device that Same Scene is scanned according to wavelength, and the for example realization in gazing type high light spectrum image-forming implementation is (but as adopting acousto-optic temperament optical device, AOTF brimrose
TM400～1000nm); Also can be the light-splitting device that scans according to volume coordinate on all tested wave bands, the for example realization in the type high light spectrum image-forming mode of pushing broom be (when adopting the grating beam splitting device, such as, but be not limited to OKSI
TMHyperScan-VNIR).
Imaging system is different according to the type of the image-generating unit that is adopted, and can match the catoptron that can carry out spatial movement, measured target is carried out the spacescan imaging (for example adopt OKSI
TMHyperScan-VNIR); The catoptron that also can be unworthy of spatial movement directly carries out spectral band scanning (as adopting AOTF brimrose to measured target
TMDuring acousto-optic is adjustable filter).
This device provides space distribution situation and the degree difference of target detection index result to be measured on measured target with image mode; Detect the single basic index that index is meant reflection meat quality characteristic; Like water percentage, water activity, VBN content, yellowish pink, microorganism count, acid value, pH value etc., or the comprehensive evaluation index that draws according to a plurality of indexs.The space distribution situation refers to detect the numeric distribution situation of index zones of different on measurand, and the size in zone can be selected and regulate, and when the zone covered whole measurand, testing result was the detection mean value that a numerical value is whole measurand.Testing result numerical value can appear with pseudo-color mode, distinguishes with different colours and detects numerical values recited, is equipped with color and numerical value to as directed, detects numerical value and color contrast mode and can select and regulate.
Principle of the present invention is that this device is made up of with detection calculations unit and display unit light chamber, Flame Image Process.Wherein light is provided with Hyperspectral imager in real, detects sample objective table, light source and has the separated tabula rasa of viewport.Hyperspectral imager is made up of high sensitivity camera, the filtering device and the resisting chromatic dispersion camera lens that can carry out wave band scanning.Hyperspectral imager connects with the detection calculations unit with Flame Image Process, transmission high spectrum image data and system control signal.In Flame Image Process and detection calculations unit, carry out the pre-service of high spectrum image and tested sample is detected judgement calculating according to the detection model that presets; Testing result is presented on the user interface with image mode through display unit on the one hand, and reflection detects the space distribution situation of index degree difference on tested sample.According to the parameter configuration that presets detection model, can carry out the computing of multinomial detection index to measurand single surface sweeping data, on the interface, switch the demonstration of different indexs or show the comprehensive evaluation results that detect index more by the user.Testing result or control output signal pass through external apparatus interface to outside other device transmission on the other hand.
Light source and measurand spatial form and size match, the wave band of light source is according to detection needs configuration ultraviolet, visible light, near infrared and infrared light supply, or composite light source.The part of light source should be guaranteed the IMAQ face brightness of the detected object uniformity of trying one's best, and avoids shade and solar flare as far as possible.
Objective table is guaranteed the detection station location of measurand, guarantees that through its space tilt adjustment motion on height and loading surface the relative position of measurand and imaging system adheres to specification simultaneously.In image acquisition process, keep static relatively between objective table and the imaging system.
Beneficial effect
The present invention can carry out fast the meat object, can't harm, non-contact detecting, and the comprehensive detection result of meat quality individual event or many index is provided.Break through meat quality tradition sense organ, physics and chemistry and the limitation of microorganism detection aspect subjectivity, rapidity and non-destructive.
Detect as the basis with multispectral image, this checkout equipment carries out Quality Detection according to the caused photonic absorption change of frequency of the internal component difference of meat, and evaluation result is objective.
To be detected with pick-up unit between do not contact, sample is not had destructiveness, belong to Non-Destructive Testing.
Detection need not pre-treatment, simplifies the operation, and saves time.
A surface sweeping can obtain multinomial detection index, meat quality is detected comprehensively many index make accurate evaluation.
Present testing result with visual means, reflection directly perceived detects the space distribution situation of the degree difference of index on the measurand detection faces.The expression way that reflects whole object than traditional single numerical value is more near the heteropical actual conditions of meat interior tissue composition.
The present invention can be used for quick, the noncontact check of production, processing, storage, transportation and the sales section of meat; Do not eliminate the vibration noise influence owing to there is relative motion in the testing process between measured target and the imaging system; Assay is accurate, objective; Expression way is directly perceived, thereby is the means that provide safeguard of supervision of quality safety in the production of meat, storage, transportation and the sales section.
Description of drawings
Fig. 1 is a system architecture diagram of the present invention.
Light chamber (1), high sensitivity camera (2), filtering device (3), resisting chromatic dispersion camera lens (4), the separated tabula rasa (5) that has viewport, measurand (6), objective table (7), light source (8), data transmission and system's control channel (10), external apparatus interface (11), Flame Image Process and detection calculations unit (12), display unit (13).
Embodiment
The visual pick-up unit of a kind of meat quality based on static Hyperspectral imager comprises light chamber, imaging system, Flame Image Process and detection calculations unit and display unit;
The light chamber is light tight space; The light chamber interior is provided with high sensitivity camera, measurand and light source;
The light chamber comprises two separate spaces, is provided with the separated tabula rasa that has viewport between two spaces; Imaging system and measurand are located at respectively in two spaces;
For space, measurand place, light source is located in this space;
For space, imaging system place, imaging system comprises high sensitivity camera and camera lens thereof; The camera lens of high sensitivity camera is the resisting chromatic dispersion camera lens, between camera lens and DDC, is provided with the filtering device that can carry out wave band scanning; Camera lens points to the viewport on tabula rasa; The high sensitivity camera is gathered the image of measurand through this viewport;
The data output end of said high sensitivity camera connects the data input pin of Flame Image Process and detection calculations unit; Flame Image Process is connected the shows signal input end of display unit with the shows signal output terminal of detection calculations unit; Flame Image Process is connected external apparatus interface with the data-signal output terminal of detection calculations unit.
Said smooth chamber is the opaque and inner confined space that is made up of the antiradar reflectivity material surface that can block the environment parasitic light.
Space, said measurand place is positioned at the top in space, light source place;
Said imaging system and measurand respectively at a distance from directly over the viewport position of tabula rasa with under;
Said light source should satisfy: bright field evenly throws light on, and lays respectively at measurand top on every side;
The angle of light illumination should satisfy: evenly cover measurand, avoid incident light and viewport to be the minute surface symmetry about the measurand surface simultaneously;
Said measurand is on objective table.
Gather in the image process of measurand at the high sensitivity camera, the position between imaging system and the measurand is static relatively.
The said filtering device that carries out wave band scanning is:
The filtering device that Same Scene is scanned according to wavelength; Perhaps, the light-splitting device on all tested wave bands, scanning according to volume coordinate.
Be connected through wire cable or wireless transmission between the data input pin of the data output end of said high sensitivity camera and Flame Image Process and detection calculations unit.
Said light source comprises ultraviolet source or visible light source or near infrared and infrared light supply or composite light source.
Image operation and detecting unit adopt visual detection software to carry out data analysis and visual detection according to the spectrum picture of imaging system collection input.Its detailed process is:
A) spectrum picture to input carries out pre-service, selects the spectral band image to the particular detection index, and extracts relevant effective coverage in the spectrum picture.And dynamically adjust the objective table attitude according to the effective coverage area that obtains, make effective coverage area maximization.Its concrete steps are according to background and detect the difference realization image segmentation between the target, reject background parts in the image, only keep and detect target as the relevant range in the spectrum picture.Subsequently, to spectrum and the characteristics of image of the relevant range in the image, extract and detect fat, muscle, extravasated blood, high retroreflective regions in the target according to each sample portion in the spectrum picture.And select corresponding image-region as detecting the effective coverage according to detecting the index needs.Simultaneously; Because the high retroreflective regions in the image receives light source, detection target surface quality is relevant with attitude; Through dynamically adjusting the detection target attitude through objective table; Reduce to cause the area of surperficial high retroreflective regions in spectrum picture, to improve to detecting the effective coverage area of target detection because of detecting target surface form and attitude and light source geometric position.
B) spectrum and image enhancement processing are carried out in the relevant effective coverage of spectrum picture that a) step is obtained, through the quality of data of relevant effective coverage in spectral filtering and the image filtering raising spectrum picture.And erosion operation is carried out in relevant effective coverage according to the employing filtering method, remove the part that filter operator descends to effective coverage MARG quality.
C) to b) the relevant effective area data that obtains of step utilizes the spectroscopic data forecast model to carry out carrying out visual detection to detecting target.
Specify the present invention below in conjunction with a kind of embodiment and accompanying drawing, but embodiment of the present invention is not limited in this kind embodiment.
As shown in Figure 1, adopt Pulnix TM1327 as the high sensitivity camera,
Brimrose NR.55-1.0AOTF acousto-optic turnable filter spare (band rf control unit) adopts Nikkor AF-S 17-35mm f/2.8D IF-ED camera lens as resisting chromatic dispersion camera lens (4) as the filtering device that can carry out wave band scanning,
Adopt the Idea Center K330 of association as Flame Image Process and detection computations unit (12),
Link to each other with Pulnix TM1327 through its PCI-Express, and connect through the rf control unit of its serial ports control AOTF acousto-optic turnable filter spare,
The network interface that utilizes Idea Center K330 is as external apparatus interface (11),
The display that utilizes Idea Center K330 is as display unit,
Adopt 3 Halogen lamp LEDs as light source,
Measured target is placed on the objective table of glass surface,
Utilize the shadow shield of the wood-based plate of center drilling as band center viewport,
The overall optical chamber adopts the light tight door curtain made of cloth to ground that hangs down from the roof to surround.
Claims (10)
1. the visual pick-up unit of the meat quality based on static Hyperspectral imager is characterized in that, comprises light chamber (1), imaging system, Flame Image Process and detection calculations unit (12) and display unit (13);
Light chamber (1) is light tight space; Inside, light chamber (1) is provided with high sensitivity camera (2), measurand (6) and light source (8);
Light chamber (1) comprises two separate spaces, is provided with the separated tabula rasa (5) that has viewport between two spaces; Imaging system and measurand (6) are located at respectively in two spaces;
For space, measurand (6) place, light source (8) is located in this space;
For space, imaging system place, imaging system comprises high sensitivity camera (2) and camera lens thereof; The camera lens of high sensitivity camera (2) is resisting chromatic dispersion camera lens (4), between camera lens and camera, is provided with the filtering device (3) that can carry out wave band scanning; Camera lens points to the viewport on tabula rasa (5); High sensitivity camera (2) is gathered the image of measurand (6) through this viewport;
The data output end of said high sensitivity camera (2) connects the data input pin of Flame Image Process and detection calculations unit (12); Flame Image Process is connected the shows signal input end of display unit (13) with the shows signal output terminal of detection calculations unit (12); Flame Image Process is connected external apparatus interface with the data-signal output terminal of detection calculations unit (12).
2. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 1 is characterized in that said smooth chamber is the opaque and inner confined space that is made up of the antiradar reflectivity material surface that can block the environment parasitic light.
3. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 1 is characterized in that space, said measurand (6) place is positioned at the top in space, light source (8) place;
Said imaging system and measurand respectively at a distance from directly over the viewport position of tabula rasa with under;
Said light source should satisfy: bright field evenly throws light on, and lays respectively at measurand (6) top on every side;
The angle of light illumination should satisfy: evenly cover measurand, avoid incident light and viewport to be the minute surface symmetry about the measurand surface simultaneously;
Said measurand (6) is on objective table (7).
4. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 1; It is characterized in that gathering in the image process of measurand (6) at high sensitivity camera (2), the position between imaging system and the measurand (6) is static relatively.
5. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 1 is characterized in that the said filtering device (3) that carries out wave band scanning is:
The filtering device that Same Scene is scanned according to wavelength; Perhaps, the light-splitting device on all tested wave bands, scanning according to volume coordinate.
6. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 1 is connected through wire cable or wireless transmission between the data input pin of the data output end that it is characterized in that said high sensitivity camera (2) and Flame Image Process and detection calculations unit (12).
7. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 1 is characterized in that said light source comprises the composite light source that ultraviolet source or visible light source or near infrared and infrared light supply or above each wave band light source combine.
8. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 1; It is characterized in that image operation and detecting unit (12) carry out data analysis and visual detection according to the spectrum picture of imaging system collection input, detailed process comprises:
A) earlier the spectrum picture of importing is carried out pre-service, select, and extract the relevant effective coverage in the spectrum picture to the spectral band image that detects index;
Dynamically adjust the measurand attitude according to the area of the relevant effective coverage that obtains again, make the area maximization of relevant effective coverage;
B) spectrum and image enhancement processing are carried out in the relevant effective coverage that step a) is obtained: improve the quality of data of relevant effective coverage in the spectrum picture through spectral filtering and image filtering; Simultaneously; Erosion operation is carried out in relevant effective coverage, remove the part that causes relevant effective coverage MARG quality to descend because of filter operator;
C) the relevant effective area data that step b) is obtained utilizes the spectroscopic data forecast model to carry out carrying out visual detection to detecting target.
9. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 8 is characterized in that the concrete steps of said step a) are:
Realize image segmentation according to the difference between background and the detection target earlier, reject background parts in the image, only keep and detect target as the relevant range in the spectrum picture; Subsequently; To spectrum and the characteristics of image of the relevant range in the image according to each sample portion in the spectrum picture; Extract fat, muscle, extravasated blood, high retroreflective regions in the measurand, and select corresponding image-region as detecting the effective coverage, promptly relevant effective coverage according to detecting the index needs;
Through dynamically adjusting the attitude of measurand, reduce to cause the area of surperficial high retroreflective regions in spectrum picture then, improve detecting the relevant effective coverage area of target detection because of detecting target surface form and attitude and light source geometric position.
10. the visual pick-up unit of the meat quality based on static Hyperspectral imager according to claim 8 is characterized in that said measurand is placed on the objective table, and in the said step a), dynamically adjusting the measurand attitude is to carry out through objective table.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103776775A (en) * | 2014-01-27 | 2014-05-07 | 华南理工大学 | Meat quality detection device mounted in refrigeration storage |
| CN104089887A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Device and method for detecting snowflake beef |
| CN104089909A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Device and method for detecting spliced beef |
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| CN104251828A (en) * | 2014-03-31 | 2014-12-31 | 浙江工商大学 | Device and method for rapid detection of splicing mutton |
| CN104089909A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Device and method for detecting spliced beef |
| CN104251829A (en) * | 2014-03-31 | 2014-12-31 | 浙江工商大学 | Device and method for detecting splicing mutton |
| CN104089887A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Device and method for detecting snowflake beef |
| CN104897583A (en) * | 2015-06-18 | 2015-09-09 | 重庆理工大学 | Trace bloodstain nondestructive testing device and method |
| CN105866063A (en) * | 2016-04-08 | 2016-08-17 | 北京工商大学 | Detection method for quality grade of sausage |
| CN105954205A (en) * | 2016-04-27 | 2016-09-21 | 南京林业大学 | Spectral imaging-based green plum sugar content and acidity fast non-destructive detection device |
| CN105954205B (en) * | 2016-04-27 | 2018-11-13 | 南京林业大学 | Green plum pol based on light spectrum image-forming and acidity Rapid non-destructive testing device |
| CN110749555A (en) * | 2019-10-30 | 2020-02-04 | 宜宾五粮液股份有限公司 | Hyperspectral technology-based device and method for detecting internal fermentation state of white spirit koji |
| CN110779920A (en) * | 2019-10-30 | 2020-02-11 | 中国计量大学 | Pearl detection device |
| CN110749555B (en) * | 2019-10-30 | 2022-05-31 | 宜宾五粮液股份有限公司 | Hyperspectral technology-based device and method for detecting internal fermentation state of white spirit koji |
| CN110991269A (en) * | 2019-11-14 | 2020-04-10 | 安徽科技学院 | Detection system based on hyperspectral imaging and visual identification |
| CN110991269B (en) * | 2019-11-14 | 2023-04-07 | 安徽科技学院 | Detection system based on hyperspectral imaging and visual identification |
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