CN204287031U - A kind of online the cannot-harm-detection device of fish freshness based on high light spectrum image-forming technology - Google Patents
A kind of online the cannot-harm-detection device of fish freshness based on high light spectrum image-forming technology Download PDFInfo
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- CN204287031U CN204287031U CN201420865266.8U CN201420865266U CN204287031U CN 204287031 U CN204287031 U CN 204287031U CN 201420865266 U CN201420865266 U CN 201420865266U CN 204287031 U CN204287031 U CN 204287031U
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Abstract
The utility model discloses a kind of online the cannot-harm-detection device of fish freshness based on high light spectrum image-forming, comprise leading screw, motor, camera bellows, image capture module, control device, Halogen lamp LED, bracket, control module and adjustment seat.The beneficial effects of the utility model: (1) high light spectrum image-forming combine with technique double dominant of spectral technique and image processing techniques, the advantage of existing spectral technique: fast, efficient, cost is low, measure simple and convenient, non-destructive analysis; (2) sample do not need pre-service or pre-service simple, can real-time analysis be realized, merged again the advantage of image technique, visual, visual pattern, repeatability are good, be suitable for face width, dirigibility is high; (3) spectral technique and image processing techniques fusion with intersect, make spectral information and image information obtain doulbe-sides' victory effect.
Description
Technical field
The utility model relates to detection of agricultural products field, is specifically related to a kind of online the cannot-harm-detection device of fish freshness based on high light spectrum image-forming.
Background technology
Relatively centralized harvest time of fish, fresh and alive sales volume is limited, product after catching is not if taked timely, suitable storage or processing treatment measures, along with the end of its after death stiff phase, protein, fatty Deng Cheng branch decompose, and discharge a large amount of heat, freshness generation significant change, totally unfavorable impact is produced on quality, has a strong impact on its market circulation and sale.Therefore in order to keep freshness and the quality of the flesh of fish, must preserve with refrigeration or freezing method.Refrigeration or the freezing activity that effectively can suppress self enzyme of fish body, can suppress the Growth and reproduction of multiple-microorganism, be the method for the fresh-keeping catches generally adopted simultaneously.But a series of chemistry, biological chemistry, physics and microbiology turbidity can be there is in fish in refrigeration or freezer storage process, comprise the change of degradation quality under muscle protein sex change, fat oxidation, Coefficient shrinkage, cause tenderness, gelling, retentiveness, quality and nutritive value etc. deterioration, cause the decline of fish freshness and edible quality and affect the quality of follow-up converted products, reducing its market price.Consumer is when buying the flesh of fish, general be difficult to the refrigerated storage time accurately judging the flesh of fish, be also difficult to accurately to differentiate the fresh flesh of fish and freezing after the flesh of fish that thaws again because after the meat rational method of frozen fish thaws, its outward appearance, form are similar to the fresh flesh of fish, compare and are difficult to distinguish.Therefore, the quality characteristic change in refrigeration and refrigerating process of Estimation of The Fish Freshness evaluation and the flesh of fish is one of the study hotspot and emphasis in aquatic products quality field always.In order to prevent the adulterated alternative phenomenon on fish market, predicting fast, accurately, nondestructively, and oppress the fresh flesh of fish and freeze-thaw and differentiate the freshness of the flesh of fish, is the key strengthening aquatic products quality control, lifting Safety of Aquatic Products.
Both at home and abroad fish freshness is detected and fresh with refrigerate, freeze-thaw oppresses the method for distinguishing that reflects has a lot.Sensory evaluation, such as quality index method, by carrying out O&A to the basic parameter index such as outward appearance, smell, color, quality of the flesh of fish.Although sensory evaluation Measures compare is quick, seldom or not need instrument, it needs the evaluation personnel of specialty, so can not be applied to all occasions and place easily.Microbial process and biochemical method, by measuring the microbial activity of oppressing putrid and deteriorated process quantitatively and each organic molecular species content determines fish freshness, are differentiated freshly to oppress with refrigeration, freeze-thaw.Although microorganism and biochemical method very useful, but to require a great deal of time, energy and personnel, consumptive material also costly, waste liquid discarded object etc. causes severe contamination to environment, and destruction sample will make the flesh of fish lose edibility, the simultaneously long real-time that cannot ensure data detection time, can not meet and apply online or on a large scale.Therefore, what require aquatic product food freshness along with domestic and international market improves constantly, and fresh aquatic product circulation quantitative change is large and circulate apart from elongated, the accurate test problems of quick nondestructive of Estimation of The Fish Freshness in the urgent need to address, this is for realization storage, the dynamic evaluation of process of circulation Mesichthyes freshness, grade mark, in real time monitoring and ensure that fish Aquatic products consumption has important practical significance safely.
Utility model content
The utility model discloses a kind of online the cannot-harm-detection device of fish freshness based on high light spectrum image-forming, can realize detecting while freshness inside and outside simple, quick, nondestructive fish, detection efficiency is high, and accuracy is good.Include leading screw, motor, camera bellows, image capture module, control device, Halogen lamp LED, bracket, control module and adjustment seat, wherein:
Be positioned at camera bellows, for placing the mobile platform of fish sample;
Be positioned at camera bellows, for detecting the light source of light to fish electromagnetic radiation;
Be positioned at camera bellows, for the image capture module of the spectrum and image that gather fish sample;
Be positioned at camera bellows, extending arm is installed;
Be positioned at camera bellows, be provided with the leading screw run through bottom camera bellows;
Be positioned at camera bellows, be provided with adjustment seat;
Be positioned at camera bellows, for receiving the signal of described image capture module and calculating the control module of fish sample freshness;
Camera bellows outside is provided with the motor driving this leading screw.
Described mobile platform coordinates with threads of lead screw, and the control signal of described motor is from described control module, and described image capture module is arranged on the free end of extending arm.
One end of described leading screw is connected with the output shaft of described motor, and the other end of leading screw coordinates with carriage turns.
Described light source is two Halogen lamp LEDs being arranged in camera bellows opposed inner walls, and the vertical range of each Halogen lamp LED and mobile platform is 30 ~ 50cm.
The inwall of described camera bellows is provided with two angular adjustment seats, and two Halogen lamp LEDs are arranged on corresponding angular adjustment seat respectively.
The vertical range of described image capture module and mobile platform is 50 ~ 90cm.
Fish sample is placed on mobile platform, utilize image capture module one by one linear sweep obtain spectrum and the image information of fish sample, build the calibration set standard original spectrum of fish sample.
The carrying out of calibration set standard original spectrum is corrected and pre-service, eliminates or reduce background interference, improving the quality of spectral signal; Use preprocessing procedures, the original signal difference hidden is amplified, improves the resolution of spectrum.
Data prediction is carried out to the image spectrum information data obtained, pretreated image information reflection sample exterior freshness characteristic information, the characteristic information microbiological indicator (total volatile basic nitrogen (TVB-N), total plate count (TVC)) of pretreated spectral information reflection sample interior freshness.
During processing image information, the external texture information of fish is extracted from fish diagram picture, and founding mathematical models, seek and accurately can express the relevant EO-1 hyperion-characteristics of image fingerprint parameter of Estimation of The Fish Freshness, specify EO-1 hyperion-characteristics of image fingerprint parameter and Estimation of The Fish Freshness physics and chemistry, in conjunction with chemometrics method, image processing techniques and data mining technology, set up a kind of method that quick nondestructive accurately detects Estimation of The Fish Freshness.
For fish sample to be predicted, according to the standard that fish freshness detects, first subjective appreciation is carried out to wherein a part of sample, and the physico-chemical analysis of routine, set up the standard freshness data of the sample calibration set relevant to fish grade of freshness quality.Image capture module is utilized to obtain texture and the spectral information of these fish samples, and be transferred to control module (i.e. computing machine), control module is provided with spectroscopic data process software to process fish exemplar texture and spectral information, fish sample spectral data is merged at data Layer after pre-service, spectroscopic data after fusion can in comprehensive characterization fish sample, the characteristic information of outside freshness, by in fish, the outside characteristic information of freshness and the standard freshness data of sample calibration set carry out association analysis, form the calibration set model that can determine fish freshness quality grade and whether qualified different freshnesss in a control unit, set up fish sample forecast set, fish calibration set model is utilized to carry out the result of verification sample forecast set.
Pretreated spectroscopic data is associated with the standard freshness data of sample calibration set, sets up calibration set model by PLS, PCR or MLR algorithm, in calibration set model, the spectral signal of fish sample is corresponding with standard freshness data.
Select characteristic wave bands to be very important in spectroscopic data process, conventional method has the methods such as GA, SPA and CARS to find characteristic wave bands.
With set up sample calibration set model the same terms under, fish sample to be measured is carried out to the collection of spectrum and image, the same terms comprises resolution, the method for sampling, sweep spacing or sweep time, exposure time and mobile platform travelling speed; Image capture module gathers spectrum and the view data of fish sample to be measured, spectrum and image data information is delivered to control module simultaneously.
After control module carries out pre-service the spectrum obtained and view data, extraction can be expressed the image feature information of the outside freshness of fish and can express the spectral signature information of the inner freshness of fish, in the characteristic spectrum data importing sample calibration set model extracted, export the grade of freshness of fish to be predicted and whether qualified result of determination and show.
The image features of fish sample is utilized to set up the mathematical model evaluating the outside freshness of fish, and improvement is optimized to this mathematical model, extraction is obtained spectral information characteristics corresponding to inner freshness and image feature information merges on characteristic layer, fusion method comprises neural network and Multiple Non Linear Regression, in conjunction with the standard freshness data set up, by pattern-recognition as BPNN method gives comprehensive evaluation to fish sample.
The utility model is based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming, be applied in the testing process of fish freshness, there is the advantages such as high, the harmless and automaticity of accuracy of detection is strong, for the standardization of fish grade of freshness online harmless classification create condition.
The beneficial effects of the utility model: (1) high light spectrum image-forming combine with technique double dominant of spectral technique and image processing techniques, the advantage of existing spectral technique: fast, efficient, cost is low, measure simple and convenient, non-destructive analysis; (2) sample do not need pre-service or pre-service simple, can real-time analysis be realized, merged again the advantage of image technique, visual, visual pattern, repeatability are good, be suitable for face width, dirigibility is high; (3) spectral technique and image processing techniques fusion with intersect, make spectral information and image information obtain doulbe-sides' victory effect, application of spectral method extracts characteristic wave bands, then predicts the freshness of oppressing with the texture information of characteristic wave bands image.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the utility model based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming;
Fig. 2 is the testing process process flow diagram of the utility model based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming.
Description of symbols in figure:
Leading screw 1, motor 2, camera bellows 3, image capture module 4, control device 5, Halogen lamp LED 6, fish sample 7, bracket 8, control module 9, adjustment seat 10.
Embodiment
Below in conjunction with accompanying drawing, the online the cannot-harm-detection device of fish freshness that the present invention is based on high light spectrum image-forming is described in detail, see Fig. 1 to Fig. 2:
Fish sample is placed on mobile platform, utilize image capture module one by one linear sweep obtain spectrum and the image information of fish sample, build the calibration set standard original spectrum of fish sample.
Image capture module 4 comprises imaging spectrometer, CCD linear camera, wherein the time shutter of imaging spectrometer is 0.12 ms, spectral wavelength ranges is 400 ~ 2500nm, the front end connection lens of imaging spectrometer, the rear end of imaging spectrometer is connected with the front end of CCD camera, before imaging spectrometer scanning fish sample, utilize Standard adjustable board to correct light intensity, control module 9 is connected with image capture module 4 by 1394 lines, regulated power supply have 9 grades adjustable, be arranged in camera bellows 3, placement concordant with mobile platform.
Before the spectrum gathering fish sample and view data, need the parameter adjusting all kinds of device, its adjustment parameter step is as follows:
Be placed on delivery platform by fish sample, image capture module 4 is connected with control module 9 by data line, adjustment extending arm, makes image capture module 4 be 50 cm with the vertical range of platform.
First to regulate the time shutter of imaging spectrometer and the travelling speed of mobile platform before image capture module 4 image data, carry out blank simultaneously and correct and blackboard correction, ensure that the fish sample spectra image collected is clear and indeformable.
Mobile platform and this leading screw 1 threaded engagement, camera bellows 3 outside is provided with the motor 2 driving this leading screw 1, and the external stability of camera bellows 3 has bracket 8, and one end of leading screw 1 is connected with the output shaft of motor 2, the other end and the bracket 8 of leading screw 1 are rotatably assorted, and the control signal of motor 2 is from control module 9.Mobile platform is the mobile platform based on motor 2 closed-loop control, for motor 2 configures the control device 5 of mobile platform.
Light source is two Halogen lamp LEDs 6 being arranged in camera bellows 3 opposed inner walls, each Halogen lamp LED 6 is 32cm with the vertical range of mobile platform, the inwall of camera bellows 3 is provided with two angular adjustment seats 10, two Halogen lamp LEDs 6 are arranged on corresponding angular adjustment seat 10 respectively, and the angle of the detection light and surface level that adjust each Halogen lamp LED 6 is 45 degree.Halogen lamp LED 6 is 14.5 volts and powers.
The acquisition software of spectrum and view data is Spectral Image software, and fish sample is placed on mobile platform, and mobile platform right-to-left moves, and speed is 20 mm/s; The detection light that Halogen lamp LED 6 light source sends penetrates the fish sample on mobile platform, and control module 9 is connected with image capture module 4 by 1394 lines.Treat spectrum and image data acquiring complete, carry out Data Management Analysis with spectrum dedicated analysis software ASD ViewSpec, ENVI 4.6 and Unscramble V9.7.
When gathering spectrum picture, the probe vertical in image capture module 4 scans the spectral information of fish sample downwards, obtains the raw spectroscopic data data of fish sample, and the spectral information data collected are transferred in computing machine.The comprehensive grade of freshness of fish is determined by the sensory personnel subjective appreciation of specialty and the result of physico-chemical analysis, 1st step, after collection fish height spectral image data, given a mark by subjective appreciation personnel with reference to table 1, according to the change of the profile, color and luster, quality, smell etc. of aquatic products, evaluated the method for freshness by the sense organ (vision, sense of smell, sense of touch etc.) of people, obtain fish sensory evaluation scores.2nd step, by measuring the corrupt total volatile basic nitrogen of decomposition product of aquatic products and the content of total plate count, as judging freshness standard.According to marine industry standard SC/T3032-2007 Testing index: TVB-N content; PetrifilmTM test pieces method Testing index according in GB/T4789.2-2008: total plate count.3rd step, adopt and demarcate Estimation of The Fish Freshness in two ways, for carrying out follow-up Estimation of The Fish Freshness prediction modeling analysis: A. with reference to marine industry standard SC3113-2002, utilize TVB-N content, and with reference to the freshness sensory evaluation scores in the 1st step, the fish grade of freshness (dividing 1,2,3 grades) of evaluation different storage time.B. storage number of days is directly utilized to represent Estimation of The Fish Freshness (freshness number of days)
Table 1 fish freshness subjective appreciation marking table
| Project | 80～100 | 60～80 | 60Below |
| Eyeball (25%) | Eyeball is full, and corneal transparency is limpid flexible | Cornea is wrinkling, and slightly muddy, sometimes, hemorrhage is rubescent | Atrophy of eyeball, the opacity of the cornea is rubescent |
| Gill portion (20%) | Gill look scarlet, and mucus is transparent, free from extraneous odour | Gill look kermesinus, pale red or aubergine, mucus is tart flavour or fishy smell slightly | Gill look is brown, canescence, mucus muddiness, smelly with acid, stench or old taste |
| Muscle (25%) | Solid flexible, pressure falls into place and can restore immediately, and free from extraneous odour, muscle cross-sectional is glossy | Slightly soft, elasticity is poor, and pressure falls into place and can not restore immediately, slightly raw meat tart flavour, and muscle cross-sectional is matt | Comparatively, poor flexibility, pressure falls into place and not easily restores pine, and have musty and acid smell, muscle is easily separated with bone |
| Body surface (20%) | Have hyalomucoid, body surface is closely glossy | Mucus is opaque tart flavour | Mucus is filthy, has stale flavor |
| Belly (10%) | The normal anus that do not expand is recessed hidden | Expand not obvious, anus is slightly outstanding | Expand or deliquescing, have dead color or light green spot, anus is given prominence to |
Then these fish samples are set up a calibration set model as standard model, in calibration set model, the spectral image information that the specification grade of fish sample and Non-Destructive Testing obtain is associated, i.e. the corresponding a kind of spectral image information of the specification grade of each fish sample.
Utilize the utility model to predict the flow process of fish freshness as shown in Figure 2, comprise the foundation of calibration set model and utilize calibration set model to carry out the prediction of forecast set sample.
The concrete steps setting up calibration set model are:
First, select different brackets fish sample, each grade fish gets 60 samples, uses image capture module 4 pairs of samples to carry out the standard original spectrum that line sweep one by one obtains sample calibration set.
Secondly, the correction of original spectrum and pre-service, correct and pre-service spectroscopic data after obtaining sample primary standard spectroscopic data; Eliminate or reduce background interference and improve the quality of spectral signal; Use Pretreated spectra algorithm, the original signal difference hidden is amplified out, improves the resolution of spectrum.
Finally, pretreated spectroscopic data is associated with the standard freshness data of sample calibration set, sets up calibration set model by PLS, PCR or MLR algorithm.
The process of prediction fish sample freshness is:
The fish to be predicted of each grade is got 30 samples and places on a mobile platform, carry out spectrum data gathering, regulate height and the focal length of image capture module 4, fish sample moves at mobile platform right-to-left, EO-1 hyperion instrument carries out the spectral image information that line sweep obtains fish, by image capture module 4 image spectrum information transmission to computing machine, the illumination that Halogen lamp LED 6 sends is mapped on fish sample and forms diffuse reflection, diffuse and enter image capture module 4 through optical fiber, the near infrared spectrum signal data obtained by data line transfer to control module 9.Spectrum and image information data pre-service, feature extraction and information fusion is completed in control module 9, spectroscopic data is imported corresponding calibration set model, to the mensuration of fish sample grade of freshness, and show result, the so far grade of freshness test of this fish sample terminates.
The concrete steps of prediction fish sample freshness are:
First, with set up sample calibration set model the same terms under spectral image data collection is carried out to fish sample to be predicted, the same terms comprises the travelling speed of the method for sampling, resolution, sweep spacing or sweep time, time shutter and mobile platform; Image capture module 4 gathers the spectral image data of fish sample to be predicted, spectral image data information conveyance is processed to control module 9 simultaneously.
Next, the spectroscopic data that control module 9 obtains also, after carrying out pre-service, extracts the characteristics of image spectral information expressing fish freshness and the spectral signature information expressing the inner freshness of fish.
Finally, control module 9, by the calibration set model of extracted characteristic spectrum data importing fish sample, exports the grade of fish freshness to be predicted and whether qualified result of determination and shows.
Claims (6)
1., based on the online the cannot-harm-detection device of fish freshness of high light spectrum image-forming, it is characterized in that: include leading screw, motor, camera bellows, image capture module, control device, Halogen lamp LED, bracket, control module and adjustment seat, wherein:
Be positioned at camera bellows, for placing the mobile platform of fish sample;
Be positioned at camera bellows, for detecting the light source of light to fish electromagnetic radiation;
Be positioned at camera bellows, for the image capture module of the spectrum and image that gather fish sample;
Be positioned at camera bellows, extending arm is installed;
Be positioned at camera bellows, be provided with the leading screw run through bottom camera bellows;
Be positioned at camera bellows, be provided with adjustment seat;
Be positioned at camera bellows, for receiving the signal of described image capture module and calculating the control module of fish sample freshness;
Camera bellows outside is provided with the motor driving this leading screw.
2. as claimed in claim 1 based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming, it is characterized in that, described mobile platform coordinates with threads of lead screw, and the control signal of described motor is from described control module, and described image capture module is arranged on the free end of extending arm.
3., as claimed in claim 1 based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming, it is characterized in that, one end of described leading screw is connected with the output shaft of described motor, and the other end of leading screw coordinates with carriage turns.
4., as claimed in claim 1 based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming, it is characterized in that, described light source is two Halogen lamp LEDs being arranged in camera bellows opposed inner walls, and the vertical range of each Halogen lamp LED and mobile platform is 30 ~ 50cm.
5. as claimed in claim 1 based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming, it is characterized in that, the inwall of described camera bellows is provided with two angular adjustment seats, and two Halogen lamp LEDs are arranged on corresponding angular adjustment seat respectively.
6., as claimed in claim 1 based on online the cannot-harm-detection device of fish freshness of high light spectrum image-forming, it is characterized in that, the vertical range of described image capture module and mobile platform is 50 ~ 90cm.
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| CN106841052A (en) * | 2016-12-29 | 2017-06-13 | 中国科学院遥感与数字地球研究所 | A kind of method and system of quick detection meat freshness |
| CN107127165A (en) * | 2017-04-28 | 2017-09-05 | 安徽捷迅光电技术有限公司 | A kind of light source automatic correction system based on delivery platform |
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| CN107127165A (en) * | 2017-04-28 | 2017-09-05 | 安徽捷迅光电技术有限公司 | A kind of light source automatic correction system based on delivery platform |
| CN107655847A (en) * | 2017-11-17 | 2018-02-02 | 黑龙江八农垦大学 | For the difficult method that Visualization is carried out using infrared spectrum for differentiating Chinese herbal medicine |
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| CN111007026A (en) * | 2019-12-27 | 2020-04-14 | 吉林求是光谱数据科技有限公司 | Food freshness detection system and detection method based on spectrum chip |
| CN113588571A (en) * | 2021-09-29 | 2021-11-02 | 广东省农业科学院动物科学研究所 | Hyperspectral imaging-based method and system for identifying fishy smell of aquatic product |
| CN113588571B (en) * | 2021-09-29 | 2021-12-03 | 广东省农业科学院动物科学研究所 | Hyperspectral imaging-based method and system for identifying fishy smell of aquatic product |
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