CN103543106A - Rapid non-destructive testing method for melon seed quality characteristic based on spectral imaging technique - Google Patents
Rapid non-destructive testing method for melon seed quality characteristic based on spectral imaging technique Download PDFInfo
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- CN103543106A CN103543106A CN201310465101.1A CN201310465101A CN103543106A CN 103543106 A CN103543106 A CN 103543106A CN 201310465101 A CN201310465101 A CN 201310465101A CN 103543106 A CN103543106 A CN 103543106A
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Abstract
The invention discloses a rapid non-destructive testing method for melon seed quality characteristic based on a spectral imaging technique. The melon seed quality characteristics including mildew, moth damage, discoloration and rancidity can be subjected to rapid non-destructive detection through acquiring skin and internal information of melon seeds by utilizing the spectral imaging technique. The rapid non-destructive testing method has the advantages that in detection, melon seed samples do not need pretreatment; non-destructive and rapid effects are achieved, and detection cost is low; the environment is not polluted; meanwhile, the interference of artificial factors in manual evaluation and screening is also prevented, and the result is objective and accurate. The rapid non-destructive testing method for the melon seed quality characteristic based on the spectral imaging technique is beneficial to the refined and automatic production of melon seeds, thus meeting the requirement of consumers on high-quality melon seeds.
Description
Technical field
The present invention relates to melon seeds lossless detection method field, be specially a kind of melon seeds qualitative characteristics fast non-destructive detection method of light spectrum image-forming technology.
Background technology
Melon seeds are rich in the nutritional labelings such as unsaturated fatty acid, multivitamin and trace element, health and a series for the treatment of as diseases such as depression, neurasthenia, insomnia, hypertension, heart disease, anaemias are all benefited, add its special taste, thereby become a kind of leisure snacks very popular to people and edible oil sources.In 2011/12 year, the melon seeds output that the output of global melon seeds is about the China of Wan Dun，Er more than 3500 also reaches 2,000,000 tons of left and right, and presents the trend increasing year by year.The investigation of recent food security shows, surpass 80% consumer and ate the melon seeds inferior such as go mouldy, damage by worms, become sour, and the melon seeds that go mouldy very easily produces aflatoxin, increase to suffer from cancer risk, and the serious harm mankind's is healthy.A kind of key factor of restriction melon seeds edible safety is the defects such as detection time and effort consuming, the speed of current melon seeds is slow, cannot meet huge melon seeds market.Therefore, must adopt easy, method detects melon seeds qualitative characteristics fast, could adapt to the market demand both domestic and external.
Light spectrum image-forming technology is a kind of new analysis and detection technology, utilizes computing machine that aerial image technology and spectral technique are combined, and obtains spectral information and the spatial information of measured object simultaneously, and does not destroy detected material; By mathematical computations and computing machine, process and extract spectral signature information, set up Related Mathematical Models, realize the composition of inspection product is carried out to quantitative and qualitative analysis detection.Given this technology has the advantages such as easy, practical, testing cost is lower, and its application in recent years is more and more subject to biomedicine, precision agriculture, food etc. to be permitted multi-disciplinary attention.At present, melon seeds become sour and detect the main chemistry titration detection method that adopts small sample sampling, and go mouldy, damage by worms and the rejecting of heterochromatic seed has almost all been gone by manpower, cause like this detection efficiency very low, and testing cost is higher, cannot realize robotization and refinement, far can not meet the requirement of consumer to high-quality melon seeds.
Summary of the invention
The object of the invention is to propose a kind of melon seeds qualitative characteristics based on light spectrum image-forming technology and carry out fast non-destructive detection method, the problem existing to solve prior art.
To achieve these goals, technical scheme that the present invention adopts is:
Melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology, is characterized in that: utilize light spectrum image-forming technology can obtain melon seeds epidermis and internal information is carried out quick nondestructive detection to melon seeds qualitative characteristics.
The described melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology, is characterized in that: described melon seeds qualitative characteristics comprise go mouldy, damage by worms, heterochromatic and become sour.
The described melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology, is characterized in that: the spectral band of described light spectrum image-forming technology comprises the part or all of wave band of 405～970nm.
The described melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology, is characterized in that, its concrete operation step is:
(1) utilize light spectrum image-forming technology to obtain melon seeds epidermis and internal information;
(2) utilize that traditional test method is gone mouldy, damaged by worms, the qualitative characteristics parameter of the heterochromatic and melon seeds that become sour;
(3) the melon seeds qualitative characteristics parameter that melon seeds epidermis step (1) being obtained and internal information and step (2) obtain, via image processing, data analysis and microcomputer modelling, realizes the quick nondestructive of melon seeds qualitative characteristics is detected.
The described melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology, it is characterized in that: described detection method can be for designing, set up automatic detection, analysis and the sorting unit of a set of spectrum Non-Destructive Testing melon seeds qualitative characteristics, and can on this basis this application of installation be expanded to Thin-shell product, Thin-shell product comprises American pistachios, hickory nut, Ba Danmu, jordan almond, macadamia, pine nut.
Principle of the present invention is: the present invention has introduced a kind of melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology, utilize light spectrum image-forming technology to obtain melon seeds epidermis and internal signal, the signal obtaining and melon seeds qualitative characteristics parameter, via image processing, data analysis and microcomputer modelling, are realized the quick nondestructive of melon seeds qualitative characteristics is detected.That this method has is easy and simple to handle, quick, without the advantage such as damaged, testing cost is lower, be conducive to the production that becomes more meticulous to melon seeds, meet the pursuit of consumer to high-quality melon seeds.
Beneficial effect of the present invention: utilize light spectrum image-forming technology have harmless, quick, testing cost is lower, the advantage such as pollution-free.The invention provides a kind of detection method of the melon seeds qualitative characteristics quick nondestructive based on light spectrum image-forming technology; Compare with conventional method, the method can be to going mouldy, damage by worms, melon seeds qualitative characteristics heterochromatic and that become sour is effectively differentiated, and do not destroy sample, free from environmental pollution, and also avoided the interference of the human factor in artificial evaluation and screening simultaneously, result is more objective, accurate.
Accompanying drawing explanation
The become sour major component load diagram of degree melon seeds spectral information of Fig. 1 difference.
The become sour cluster analysis figure of degree melon seeds of Fig. 2 difference.
Embodiment
In order to make technical scheme of the present invention clearer, below in conjunction with drawings and Examples, be explained.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Embodiment
Utilize spectral range at 405～970nm(19 spectral wavelength, i.e. B
1, B
2b
19; As B
1for wavelength 1, B
2for wavelength 2 ... B
19for wavelength 19) light spectrum image-forming technology quick nondestructive detect go mouldy, damage by worms, the heterochromatic and melon seeds that become sour.
Experiment material:
(1) choose 218 surfaces intact, go mouldy, damage by worms and heterochromatic melon seeds as sample;
(2) choose 3700～4400 surfaces intact, and there are the melon seeds that become sour in various degree, be divided into 11 samples.
1, quick nondestructive detects and goes mouldy, damages by worms and heterochromatic melon seeds
Detecting step is as follows:
(1) (19 spectral wavelengths, B on the Videometer of Denmark A/S spectrometer
1～B
19) obtain respectively above-mentioned melon seeds sample and background information, then use VideometerLab software, use canonical discriminate analysis analysis that sample and background are separated, obtain epidermis and the internal information of melon seeds sample.
(2) from sample, choose at random respectively 30 surfaces intact, 10 go mouldy, 10 damage by worms and 10 heterochromatic melon seeds as test set, all the other are all as training set; Utilize SAS9.1 software, adopt Fisher discriminant analysis method set up melon seeds qualitative characteristics with the correlation discriminating function of corresponding spectral information:
Intact melon seeds=-358.05 – 68.72B
1+ 241.19B
2+ 9.30B
3– 186.46B
4– 439.37B
5+ 633.08B
6+ 101.58B
7– 768.84B
8+ 561.80B
9+ 488.10B
10– 662.75B
11+ 150.55B
12– 153.12B
13+ 167.37B
14+ 193.06B
15– 465.57B
16+ 91.22B
17– 15.17B
18+ 41.59B
19
Go mouldy, damage by worms and heterochromatic melon seeds=-341.62 – 71.97B
1+ 267.24B
2– 16.16B
3– 199.52B
4– 425.07B
5+ 634.79B
6+ 91.68B
7– 746.18B
8+ 599.16B
9+ 450.84B
10– 695.99B
11+ 171.79B
12– 153.23B
13+ 169.54B
14+ 282.11B
15– 481.49B
16+ 111.95B
17+ 10.93B
18+ 17.45B
19
(3) bring test set sample into discriminant function and calculate, result is as shown in table 1:
The quick nondestructive testing result of table 1 melon seeds qualitative characteristics
2, quick nondestructive detects the melon seeds that become sour
Detecting step is as follows:
(1) on the Videometer of Denmark A/S spectrometer, (405～970nm) obtains respectively above-mentioned melon seeds sample and background information, then use VideometerLab software, use canonical discriminate analysis analysis that sample and background are separated, obtain epidermis and the internal information of melon seeds sample.
(2) the corresponding acid value of melon seeds sample and the determination of POV of spectral detection
1. the grease of melon seeds extracts according to GB/T22165 – 2008, and appendix B carries out;
2. the acid value of lipids extracting is carried out according to GB/T5009.37 – 2003;
3. the oil peroxidation value of extracting is carried out according to GB/T5009.37 – 2003.
(3) utilize SAS9.1 software to carry out principal component analysis (PCA) (PCA) to the spectral information obtaining, obtain PCA load diagram as shown in Figure 1, major component 1(PC1 wherein) and major component 2(PC2) characteristic information of representative is respectively 71.94% and 21.34%, show that the result of PC1 and PC2 gets final product the spectral information of representative sample, reach the effect of dimensionality reduction and raising model stability simultaneously.
(4) use SAS9.1 software, adopt median Furthest Neighbor to carry out cluster analysis to the PCA result of step (3), result as shown in Figure 2.
As shown in Table 1, total correct decision rate of 60 measured result is 98.33%; And as shown in Figure 2, in median distance, be 0.45 o'clock, the become sour melon seeds sample of degree of difference obviously falls into 5 types, and corresponding with acid value and peroxide value.Show that the present invention utilizes light spectrum image-forming to detect quick nondestructive to go mouldy, damages by worms, the heterochromatic and melon seeds that become sour are feasible.
Claims (5)
1. the detection method of the melon seeds qualitative characteristics quick nondestructive based on light spectrum image-forming technology, is characterized in that: utilize light spectrum image-forming technology can obtain melon seeds epidermis and internal information is carried out quick nondestructive detection to melon seeds qualitative characteristics.
2. the melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology according to claim 1, is characterized in that: described melon seeds qualitative characteristics comprise go mouldy, damage by worms, heterochromatic and become sour.
3. the melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology according to claim 1, is characterized in that: the spectral band of described light spectrum image-forming technology comprises the part or all of wave band of 405 ~ 970 nm.
4. the melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology according to claim 1, is characterized in that, its concrete operation step is:
(1) utilize light spectrum image-forming technology to obtain melon seeds epidermis and internal information;
(2) utilize that traditional test method is gone mouldy, damaged by worms, the qualitative characteristics parameter of the heterochromatic and melon seeds that become sour;
(3) the melon seeds qualitative characteristics parameter that melon seeds epidermis step (1) being obtained and internal information and step (2) obtain, via image processing, data analysis and microcomputer modelling, realizes the quick nondestructive of melon seeds qualitative characteristics is detected.
5. the melon seeds qualitative characteristics fast non-destructive detection method based on light spectrum image-forming technology according to claim 1, it is characterized in that: described detection method can be for designing, set up automatic detection, analysis and the sorting unit of a set of spectrum Non-Destructive Testing melon seeds qualitative characteristics, and can on this basis this application of installation be expanded to Thin-shell product, Thin-shell product comprises American pistachios, hickory nut, Ba Danmu, jordan almond, macadamia, pine nut.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105975966A (en) * | 2016-04-21 | 2016-09-28 | 南京农业大学 | Rice grain mildew nondestructive test method |
| CN106940292A (en) * | 2017-04-25 | 2017-07-11 | 合肥工业大学 | Bar denier wood raw material quick nondestructive discrimination method of damaging by worms based on multi-optical spectrum imaging technology |
| CN107490550A (en) * | 2017-07-17 | 2017-12-19 | 安徽谱泉光谱科技有限公司 | A kind of online quality detecting method of macadamia |
| CN107486414A (en) * | 2017-07-20 | 2017-12-19 | 安徽谱泉光谱科技有限公司 | A kind of macadamia automated production equipment |
| CN109580493A (en) * | 2018-11-16 | 2019-04-05 | 长江大学 | A kind of method of quick detection to section Chinese wax batch seed quality |
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| KR20030010025A (en) * | 2001-07-25 | 2003-02-05 | 대한민국 (관리부서 농촌진흥청) | non-destructive analysis method of one seed grain by near infrared reflectance spectroscopy |
| CN102072883A (en) * | 2010-07-07 | 2011-05-25 | 北京农业智能装备技术研究中心 | Device and method for detecting comprehensive quality of crop seeds |
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Patent Citations (2)
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| KR20030010025A (en) * | 2001-07-25 | 2003-02-05 | 대한민국 (관리부서 농촌진흥청) | non-destructive analysis method of one seed grain by near infrared reflectance spectroscopy |
| CN102072883A (en) * | 2010-07-07 | 2011-05-25 | 北京农业智能装备技术研究中心 | Device and method for detecting comprehensive quality of crop seeds |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105975966A (en) * | 2016-04-21 | 2016-09-28 | 南京农业大学 | Rice grain mildew nondestructive test method |
| CN106940292A (en) * | 2017-04-25 | 2017-07-11 | 合肥工业大学 | Bar denier wood raw material quick nondestructive discrimination method of damaging by worms based on multi-optical spectrum imaging technology |
| CN107490550A (en) * | 2017-07-17 | 2017-12-19 | 安徽谱泉光谱科技有限公司 | A kind of online quality detecting method of macadamia |
| CN107486414A (en) * | 2017-07-20 | 2017-12-19 | 安徽谱泉光谱科技有限公司 | A kind of macadamia automated production equipment |
| CN109580493A (en) * | 2018-11-16 | 2019-04-05 | 长江大学 | A kind of method of quick detection to section Chinese wax batch seed quality |
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Application publication date: 20140129 |