CN104749121A - Authentication method for rapidly authenticating true and false dragon teeth on basis of spectral imaging technology - Google Patents
Authentication method for rapidly authenticating true and false dragon teeth on basis of spectral imaging technology Download PDFInfo
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Abstract
The invention belongs to the technical field of authentication for dragon teeth, and particularly relates to an authentication method for rapidly authenticating true and false dragon teeth on the basis of a spectral imaging technology. The authentication method comprises the following steps: A. placing true dragon teeth on the substrate of an objective table, carrying out spectrum scanning in a manner of single-channel and continuous spectrum scanning, and synchronously carrying out the spectrum scanning and spectrum image acquisition; B. removing noise by using a high-pass filter, then statistically averaging pixels corresponding to the true dragon teeth, and normalizing to obtain the characteristic spectrum curve of the true dragon teeth; C. placing dragon teeth to be authenticated on the substrate of the objective table, carrying out the spectrum scanning in the manner of single-channel and continuous spectrum scanning, and synchronously carrying out the spectrum scanning and spectrum image acquisition; D. removing the noise of the spectrum cube of the dragon teeth to be authenticated by using the high-pass filter, then statistically averaging pixels corresponding to the dragon teeth to be authenticated, and normalizing to obtain the characteristic spectrum curve of the dragon teeth to be authenticated; E. comparing the characteristic spectrum of the dragon teeth to be authenticated with the characteristic spectrum of the true dragon teeth.
Description
Technical field
The invention belongs to dens draconis authenticate technology field, especially relate to a kind of authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology.
Background technology
Dens draconis is China's tradition rare traditional Chinese medicine, begins to be loaded in Shennong's Herbal, is classified as top grade, be ancient times mammal as Hippocampal cortex, rhinoceros class, deer class, bovine, resemble the Tooth Fossil of class etc.Wherein in cinerous or burgundy person, practise and claim " QINGLONGCHI "; In yellow-white person, practise and claim " white dens draconis ".Dens draconis has tranquillizing the mind by relieving convulsion, except effects such as dysphoria with smothery sensation, is mainly applicable to the cards such as frightened epilepsy is demented, palpitation and severe palpitation, insomnia and dreamful sleep.In recent years, the demand of dens draconis rapidly increases, substantial appreciation of prices, its adulterant emerges in multitude, as mixed the adulterants such as the thorough Tooth Fossil of egg shell, canebreak, porcelain earth and the non-petrochemical industry of large-scale beasts in other ancient times in medicinal material, adulterate, had a strong impact on the clinical practice of dens draconis and the exploitation of resource.At present, Chinese scholars is mostly from its medical value, trace element and the research of radioactivity aspect thereof, research for the quality discrimination of dens draconis is less, and the method being often applied to dens draconis analysis and identification has the assay etc. of X-ray diffraction method, acid-insoluble ash mensuration, calcium salt.But these discrimination methods can not carry out continuous sweep to sample, obtain continuous spectrum, can not the Rapid identification true and false, there is cost intensive in addition, testing result is many, analytic process is loaded down with trivial details, practical limitation is comparatively large, widespread use is not strong, useful information deviation or lose a large amount of, the problems such as sample contamination is serious.
In order to improve prior art, people have carried out long-term exploration, propose various solution.Such as, Chinese patent literature discloses a kind of color filter tuning type window scanning optical spectrum imaging system and method [application number: CN200810239721.2], comprises imaging optical system, Tunable filters, focus planardetector, optical filter driver, data acquisition processing system and control system; It is characterized in that: also comprise scanning system, sweeping work for completing window; Realize window together with this scanning system and imaging optical system, Tunable filters, focus planardetector, optical filter driver, data acquisition processing system combine with control system and sweep mode of operation; In the quiescent operation system of color filter tuning type imaging spectrometer, add scanning system, make it to carry out dynamic window and sweep imaging; And adopt the data acquisition processing system supporting with scanning system, make it to complete process under window sweeps pattern, export correct spectral cube result.
Although such scheme to some extent solves the deficiencies in the prior art, whether special in dens draconis design, the Rapid identification of the dens draconis true and false can not be realized.
Summary of the invention
The object of the invention is for the problems referred to above, provide a kind of reasonable in design, simple to operate, be beneficial to the authentication method of the dens draconis of discerning the false from the genuine fast based on spectral imaging technology of dens draconis Rapid identification.
For achieving the above object, present invention employs following technical proposal: the authentication method of this dens draconis of discerning the false from the genuine fast based on spectral imaging technology, it is characterized in that, this method comprises the following steps:
A. genuine piece dens draconis is placed on the objective table substrate of spectrum imaging device, employing single channel, continuous spectrum scan mode carry out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, and obtain the genuine piece dens draconis spectral cube be made up of some width spectrum pictures;
B. Hi-pass filter is adopted to carry out noise remove to genuine piece dens draconis spectral cube, so average to the pixels statistics corresponding to genuine piece dens draconis, and normalization obtains genuine piece dens draconis characteristic spectrum curve, obtains genuine piece dens draconis characteristic spectrum;
C. dens draconis to be identified is placed on the objective table substrate of spectrum imaging device, employing single channel, continuous spectrum scan mode carry out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, and obtain the dens draconis spectral cube to be identified be made up of some width spectrum pictures;
D. Hi-pass filter is adopted to carry out noise remove to dens draconis spectral cube to be identified, so average to the pixels statistics corresponding to dens draconis to be identified, and normalization obtains dens draconis characteristic spectrum curve to be identified, obtains dens draconis characteristic spectrum to be identified;
E. dens draconis characteristic spectrum to be identified and genuine piece dens draconis characteristic spectrum are compared, if difference of them exceedes setting value, dens draconis to be identified is adulterant, if difference of them does not exceed setting value, dens draconis to be identified is genuine piece.
Spectral measurement is a kind of effective means obtaining material component inside, different compositions takes on a different character spectrum, by reflectance spectrum, the transmitted spectrum or excitation spectrum etc. of detecting material, just can judge composition type, the even content of composition, and spectral measurement and optical imagery combine and are beneficial to Rapid identification material.
Single channel, continuous spectrum scan mode are beneficial to the spectrogram obtaining a wide region fast, be beneficial to Rapid identification, spectral scan and spectrum picture collection are synchronously carried out, the two spectral cube obtaining being made up of some width spectrum pictures of working in coordination, Hi-pass filter is adopted to carry out noise remove to spectral cube, eliminate the interference of irrelevant factor, cluster analysis is beneficial to the difference found out intuitively between determinand and genuine piece, is beneficial to the true and false differentiating dens draconis fast.
Discern the false from the genuine fast in the authentication method of dens draconis based on spectral imaging technology above-mentioned, in above-mentioned steps A and C, interference filter is used emergent light centre wavelength to be controlled to be 254nm, the spectral scan scope arranging LCD filters is 400-900nm, wherein between visible region, the operating wavelength range of LCD filters is set to 400-700nm, the operating wavelength range of the interval LCD filters of infrared light is set to 700-900nm, every 2nm mono-frame, imaging lens focuses on genuine piece dens draconis and dens draconis to be identified surface, the time shutter of CMOS receiver is 800ms, each genuine piece dens draconis and dens draconis to be identified obtain a spectral cube be made up of 252 width spectrum pictures respectively.
Discern the false from the genuine fast in the authentication method of dens draconis based on spectral imaging technology above-mentioned, before starting qualification, first precision test is carried out to spectrum imaging device, if precision reaches requirement, start qualification, if precision can not reach requirement, carry out debugging until meet precision requirement.
Discern the false from the genuine fast in the authentication method of dens draconis based on spectral imaging technology above-mentioned, described precision test adopts following method: be placed on by sample on the objective table substrate of spectrum imaging device, adopt single channel, continuous spectrum scan mode carries out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, obtain the sample spectra cube be made up of some width spectrum pictures, Hi-pass filter is adopted to carry out noise remove to sample spectra cube, and then it is average to the pixels statistics corresponding to sample, and normalization obtains the sample characteristic curve of spectrum, obtain sample characteristic spectrum, to same sample replication 5 times in the manner described above, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, characteristic peak invariant position, the uncertainty of each characteristic peak light intensity relative fluctuation is less than or equal to 1.75% (infrared is 1.73%) of measured value, show that spectrum imaging device precision is good, otherwise show that spectrum imaging device precision is inadequate.
Discern the false from the genuine fast in the authentication method of dens draconis based on spectral imaging technology above-mentioned, before starting qualification, first stability test is carried out to spectrum imaging device, if stability reaches requirement, start qualification, if stability can not reach requirement, carry out debugging until meet stability requirement.
Discern the false from the genuine fast in the authentication method of dens draconis based on spectral imaging technology above-mentioned, described stability test adopts following method: be placed on by sample on the objective table substrate of spectrum imaging device, adopt single channel, continuous spectrum scan mode carries out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, obtain the sample spectra cube be made up of some width spectrum pictures, Hi-pass filter is adopted to carry out noise remove to sample spectra cube, and then it is average to the pixels statistics corresponding to sample, and normalization obtains the sample characteristic curve of spectrum, obtain sample characteristic spectrum, 1 time is carried out to the every 24h of same sample, METHOD FOR CONTINUOUS DETERMINATION 5 times, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.84% (infrared is 1.83%) of measured value, show that spectrum imaging device has good stability, otherwise show that spectrum imaging device stability is inadequate.
Discern the false from the genuine fast in the authentication method of dens draconis based on spectral imaging technology above-mentioned, after qualification completes, reappearance test is carried out to qualification result, if reappearance reaches requirement, shows that qualification meets reappearance, if reappearance can not reach requirement show that qualification reappearance is inadequate.
Discern the false from the genuine fast in the authentication method of dens draconis based on spectral imaging technology above-mentioned, described reappearance test adopts following method: separately get with dens draconis to be measured with a collection of other 4 dens draconis to be measured, identify respectively one by one again, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.83% (infrared is 1.81%) of measured value, show that qualification meets reappearance, otherwise show that qualification reappearance is inadequate.
Compared with prior art, this is based on discern the false from the genuine the fast advantage of authentication method of dens draconis of spectral imaging technology: the first, and single channel, continuous spectrum scan mode are beneficial to the spectrogram obtaining a wide region fast, are beneficial to Rapid identification.The second, spectral scan and spectrum picture collection are synchronously carried out, the two spectral cube obtaining being made up of some width spectrum pictures of working in coordination.3rd, carry out precision and stability test before test, be beneficial to and obtain result more accurately, reappearance test shows that this method can repetition, is beneficial to popularization.4th, adopt Hi-pass filter to carry out noise remove to spectral cube, eliminate the interference of irrelevant factor.5th, cluster analysis is beneficial to the difference found out intuitively between determinand and genuine piece, is beneficial to the true and false differentiating dens draconis fast.
Embodiment
Embodiment 1
The authentication method of this dens draconis of discerning the false from the genuine fast based on spectral imaging technology, it is characterized in that, this method comprises the following steps:
A. genuine piece dens draconis is placed on the objective table substrate of spectrum imaging device, employing single channel, continuous spectrum scan mode carry out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, and obtain the genuine piece dens draconis spectral cube be made up of some width spectrum pictures;
B. Hi-pass filter is adopted to carry out noise remove to genuine piece dens draconis spectral cube, so average to the pixels statistics corresponding to genuine piece dens draconis, and normalization obtains genuine piece dens draconis characteristic spectrum curve, obtains genuine piece dens draconis characteristic spectrum;
C. dens draconis to be identified is placed on the objective table substrate of spectrum imaging device, employing single channel, continuous spectrum scan mode carry out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, and obtain the dens draconis spectral cube to be identified be made up of some width spectrum pictures;
D. Hi-pass filter is adopted to carry out noise remove to dens draconis spectral cube to be identified, so average to the pixels statistics corresponding to dens draconis to be identified, and normalization obtains dens draconis characteristic spectrum curve to be identified, obtains dens draconis characteristic spectrum to be identified;
E. dens draconis characteristic spectrum to be identified and genuine piece dens draconis characteristic spectrum are compared, if difference of them exceedes setting value, dens draconis to be identified is adulterant, if difference of them does not exceed setting value, dens draconis to be identified is genuine piece.
Spectral measurement is a kind of effective means obtaining material component inside, different compositions takes on a different character spectrum, by reflectance spectrum, the transmitted spectrum or excitation spectrum etc. of detecting material, just can judge composition type, the even content of composition, and spectral measurement and optical imagery combine and are beneficial to Rapid identification material.
Single channel, continuous spectrum scan mode are beneficial to the spectrogram obtaining a wide region fast, be beneficial to Rapid identification, spectral scan and spectrum picture collection are synchronously carried out, the two spectral cube obtaining being made up of some width spectrum pictures of working in coordination, Hi-pass filter is adopted to carry out noise remove to spectral cube, eliminate the interference of irrelevant factor, cluster analysis is beneficial to the difference found out intuitively between determinand and genuine piece, is beneficial to the true and false differentiating dens draconis fast.
Wherein, in above-mentioned steps A and C, interference filter is used emergent light centre wavelength to be controlled to be 254nm, the spectral scan scope arranging LCD filters is 400-900nm, wherein between visible region, the operating wavelength range of LCD filters is set to 400-700nm, the operating wavelength range of the interval LCD filters of infrared light is set to 700-900nm, every 2nm mono-frame, imaging lens focuses on genuine piece dens draconis and dens draconis to be identified surface, the time shutter of CMOS receiver is 800ms, each genuine piece dens draconis and dens draconis to be identified obtain a spectral cube be made up of 252 width spectrum pictures respectively.Before starting qualification, first precision test is carried out to spectrum imaging device, if precision reaches requirement, start qualification, if precision can not reach requirement, carry out debugging until meet precision requirement.Precision test adopts following method: be placed on by sample on the objective table substrate of spectrum imaging device, adopt single channel, continuous spectrum scan mode carries out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, obtain the sample spectra cube be made up of some width spectrum pictures, Hi-pass filter is adopted to carry out noise remove to sample spectra cube, and then it is average to the pixels statistics corresponding to sample, and normalization obtains the sample characteristic curve of spectrum, obtain sample characteristic spectrum, to same sample replication 5 times in the manner described above, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, characteristic peak invariant position, the uncertainty of each characteristic peak light intensity relative fluctuation is less than or equal to 1.75% (infrared is 1.73%) of measured value, show that spectrum imaging device precision is good, otherwise show that spectrum imaging device precision is inadequate.
Before starting qualification, first stability test is carried out to spectrum imaging device, if stability reaches requirement, start qualification, if stability can not reach requirement, carry out debugging until meet stability requirement.Stability test adopts following method: be placed on by sample on the objective table substrate of spectrum imaging device, adopt single channel, continuous spectrum scan mode carries out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, obtain the sample spectra cube be made up of some width spectrum pictures, Hi-pass filter is adopted to carry out noise remove to sample spectra cube, and then it is average to the pixels statistics corresponding to sample, and normalization obtains the sample characteristic curve of spectrum, obtain sample characteristic spectrum, 1 time is carried out to the every 24h of same sample, METHOD FOR CONTINUOUS DETERMINATION 5 times, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.84% (infrared is 1.83%) of measured value, show that spectrum imaging device has good stability, otherwise show that spectrum imaging device stability is inadequate.
After qualification completes, reappearance test is carried out to qualification result, if reappearance reaches requirement, show that qualification meets reappearance, if reappearance can not reach requirement show that qualification reappearance is inadequate.Reappearance test adopts following method: separately get with dens draconis to be measured with a collection of other 4 dens draconis to be measured, identify respectively one by one again, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.83% (infrared is 1.81%) of measured value, shows that qualification meets reappearance, otherwise shows that qualification reappearance is inadequate.
Embodiment 2
1 instrument and material
Chinese medicine detects optical spectrum imaging device, and core devices comprises ultraviolet source and interference filter, Varispec liquid crystal electricity switchable filter, lens group, low-light (level) face battle array CMOS, video frequency collection card, computing machine etc.All samples is taught through pharmaceutical college of Zhejiang University of Traditional Chinese Medicine Xiong Yaokang and is identified, in table 1 according to methods such as " Chinese Pharmacopoeia " qualification of version mineral medicine Wood Traits, Microscopic Identification and physics and chemistry qualifications in 2010.
Table 1 dens draconis sample message
2 methods and result
2.1 test condition
Experiment adopts the work of single channel, continuous spectrum scan mode.Interference filter is used emergent light centre wavelength to be controlled to be 254nm.The spectral scan scope arranging LCD filters is that 400-900nm is (between visible region: the operating wavelength range of LCD filters is set to 400-700nm, infrared light is interval: the operating wavelength range of LCD filters is set to 700-900nm), every 2nm mono-frame.Imaging lens focuses on medicine materical crude slice surface: the time shutter of CMOS receiver is 800ms, carries out spectrum picture collection with spectral scan time synchronized.Last each sample can obtain a spectral cube be made up of 252 width spectrum pictures.
2.2 detection method
The substrate successively each dens draconis test sample being placed on objective table detects.After acquisition spectral cube, Hi-pass filter is adopted to carry out noise remove, so average to the pixels statistics corresponding to whole inspection product, and normalization obtains characteristic spectrum curve, obtains characteristic spectrum.
2.3 methodological study
2.3.1 stability test
Get same sample (12# sample), measure by 2 methods, every 24h carries out 1 time, METHOD FOR CONTINUOUS DETERMINATION 5 times, contrasts the characteristic spectrum curve of 5 times.Article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95.Its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.84% (infrared is 1.83%) of measured value.Show that selected sample has good stability in the feature detection of this method.
2.3.2 precision test
Get same sample (12# sample), by 2 methods, replication 5 times, contrasts the characteristic spectrum curve of 5 times.Article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95.Its characteristic peak invariant position, the uncertainty of each characteristic peak light intensity relative fluctuation is less than or equal to 1.75% (infrared is 1.73%) of measured value, shows that instrument precision is good.
2.3.3 reappearance test
Get same batch sample (12# sample) 5 parts, after detecting by 2 methods, contrast the characteristic spectrum curve of 5 times.Article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95.Its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.83% (infrared is 1.81%) of measured value.Show that the reappearance of this method is good.
2.4 test findings
As can be seen from dens draconis adulterant donkey tooth, ox tooth, pig tooth, fern, horse tooth, adulterant, mix in the characteristic spectrum of dens draconis of adulterant commercial source different from 7 kinds, the dens draconis of sample 12#, sample 13#, sample 14# and all the other 11 kinds of separate sources and mix adulterant, at 755nm, 770nm, 810nm, there is different crests.12# to 14# sample has identical variation tendency at the detection Bowden of 650nm-900nm.
2.5 sample 1#, sample 2#, sample 3# make a living product, and sample 12#, sample 13#, sample 14# are calcining product.From waveform, the characteristic spectrum of the dens draconis of 6 kinds of different commercial source has general character: all have relatively strong peak intensity at 755nm, 770nm, 810nm, has identical variation tendency at the detection wave band of 650-900nm.
2.6 as can be seen from QINGLONGCHI (raw product) with the characteristic spectrum of adulterant ox tooth, pig tooth, fern, sample 2# has different crests from sample 7#, sample 8#, sample 9#.
Test in contrast, detection method according to version Chinese Pharmacopoeia mineral substance medicinal material in 2010 does proterties, physics and chemistry, ultraviolet qualification to dens draconis adulterant donkey tooth, ox tooth, pig tooth, fern, horse tooth, adulterant, the dens draconis of mixing adulterant commercial source different from 7 kinds, and its result and light spectrum image-forming testing result match.
Normalization dens draconis adulterant donkey tooth, ox tooth, pig tooth, fern, horse tooth, adulterant, mix the characteristic spectrum of the dens draconis of adulterant commercial source different from 7 kinds, using the normalization characteristic spectrum in 650-900nm wave band interval as the sign of base source characteristic, spss17.0 software is used to carry out cluster analysis to it.
If L is clustering distance, as L=7.3188, first dens draconis sample 2# is polymerized with sample 3#, and as L=10.7623, sample 1# and sample 13# is polymerized, then be polymerized at L=10.8876 place with sample 2# and sample 3# and be classified as one group, as L=9.9668, sample 12# and sample 14# is polymerized to one group, and these two groups are classified as a class at L=14.5015 place, namely sample 1#, 2#, 3#, 12#, 13#, 14# have closer to sorting primitives distance, be aggregated in it in monoid.
Test in contrast, according to version Chinese Pharmacopoeia in 2010, do the qualification of proterties, physics and chemistry and ultraviolet to dens draconis adulterant donkey tooth, ox tooth, pig tooth, fern, horse tooth, adulterant, the dens draconis of mixing adulterant commercial source different from 7 kinds, result display 1#, 2#, 3#, 5#, 12#, 13#, 14# sample is dens draconis.
3 discuss
This experimental data source is fluorescence multispectral image, and through experimental verification under 254nm light source activation, the characteristic information amount that fluorescence multispectral image contains is maximum.The multispectral image of accuracy registration has the space scale that the spectral resolution of 2nm and every pixel are about 0.14mm, after using the characteristic spectrum curves of method to true and false dens draconis powder sample such as cluster analysis to resolve, can find that sample 1#-3#, 12#-14# genuine piece dens draconis has identical variation tendency at the detection wave band of 650-900nm, and at 755nm, 770nm, 810nm, all there is stronger crest, this and sample 4#, 6#-11# adulterant or mix the curve of spectrum detected in adulterant and there is notable difference; In addition, by cluster analysis, show that sample 1#, 2#, 3#, 12#, 13#, 14# are aggregated in a monoid, have closer to sorting primitives distance, this shows, spectral imaging technology can identify true and false dens draconis sample fast.But the curve of spectrum intensity between sample 1#-3#, 12#-14# inspection product is different, though and by cluster analysis known this in same polymerization monoid, but still there is certain distance between it, can infer thus, different is there is between its quality of the dens draconis of the separate sources place of production, concocting method, thus result in the strong difference in its curve of spectrum peak, this shows, spectral imaging technology can the quality of auxiliary detection Chinese medicine to a certain extent.Therefore, spectral imaging technology can fast, harmless and dens draconis of discerning the false from the genuine accurately, overcome traditional detection method loaded down with trivial details, consuming time, the shortcomings such as required reagent is many, if by the True-false distinguish of this Technology application in your detail medicinal material, not only speed is fast, and efficiency is high, and different shape, Different plant parts traditional Chinese medicine sample all can repeatedly detect, save the proportion of goods damageds of sample, save the integrality of Chinese crude drug to greatest extent.
Specific embodiment described herein is only to the explanation for example of the present invention's spirit.Those skilled in the art can make various amendment or supplement or adopt similar mode to substitute to described specific embodiment, but can't depart from spirit of the present invention or surmount the scope that appended claims defines.
Although more employ term herein, do not get rid of the possibility using other term.These terms are used to be only used to describe and explain essence of the present invention more easily; The restriction that they are construed to any one additional is all contrary with spirit of the present invention.
Claims (8)
1. discern the false from the genuine fast based on spectral imaging technology the authentication method of dens draconis, it is characterized in that, this method comprises the following steps:
A. genuine piece dens draconis is placed on the objective table substrate of spectrum imaging device, employing single channel, continuous spectrum scan mode carry out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, and obtain the genuine piece dens draconis spectral cube be made up of some width spectrum pictures;
B. Hi-pass filter is adopted to carry out noise remove to genuine piece dens draconis spectral cube, so average to the pixels statistics corresponding to genuine piece dens draconis, and normalization obtains genuine piece dens draconis characteristic spectrum curve, obtains genuine piece dens draconis characteristic spectrum;
C. dens draconis to be identified is placed on the objective table substrate of spectrum imaging device, employing single channel, continuous spectrum scan mode carry out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, and obtain the dens draconis spectral cube to be identified be made up of some width spectrum pictures;
D. Hi-pass filter is adopted to carry out noise remove to dens draconis spectral cube to be identified, so average to the pixels statistics corresponding to dens draconis to be identified, and normalization obtains dens draconis characteristic spectrum curve to be identified, obtains dens draconis characteristic spectrum to be identified;
E. dens draconis characteristic spectrum to be identified and genuine piece dens draconis characteristic spectrum are compared, if difference of them exceedes setting value, dens draconis to be identified is adulterant, if difference of them does not exceed setting value, dens draconis to be identified is genuine piece.
2. the authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology according to claim 1, it is characterized in that, in above-mentioned steps A and C, interference filter is used emergent light centre wavelength to be controlled to be 254nm, the spectral scan scope arranging LCD filters is 400-900nm, wherein between visible region, the operating wavelength range of LCD filters is set to 400-700nm, the operating wavelength range of the interval LCD filters of infrared light is set to 700-900nm, every 2nm mono-frame, imaging lens focuses on genuine piece dens draconis and dens draconis to be identified surface, the time shutter of CMOS receiver is 800ms, each genuine piece dens draconis and dens draconis to be identified obtain a spectral cube be made up of 252 width spectrum pictures respectively.
3. the authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology according to claim 1 and 2, it is characterized in that, before starting qualification, first precision test is carried out to spectrum imaging device, if precision reaches requirement, start qualification, if precision can not reach requirement, carry out debugging until meet precision requirement.
4. the authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology according to claim 3, it is characterized in that, described precision test adopts following method: be placed on by sample on the objective table substrate of spectrum imaging device, adopt single channel, continuous spectrum scan mode carries out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, obtain the sample spectra cube be made up of some width spectrum pictures, Hi-pass filter is adopted to carry out noise remove to sample spectra cube, and then it is average to the pixels statistics corresponding to sample, and normalization obtains the sample characteristic curve of spectrum, obtain sample characteristic spectrum, to same sample replication 5 times in the manner described above, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, characteristic peak invariant position, the uncertainty of each characteristic peak light intensity relative fluctuation is less than or equal to 1.75% (infrared is 1.73%) of measured value, show that spectrum imaging device precision is good, otherwise show that spectrum imaging device precision is inadequate.
5. the authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology according to claim 1 and 2, it is characterized in that, before starting qualification, first stability test is carried out to spectrum imaging device, if stability reaches requirement, start qualification, if stability can not reach requirement, carry out debugging until meet stability requirement.
6. the authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology according to claim 5, it is characterized in that, described stability test adopts following method: be placed on by sample on the objective table substrate of spectrum imaging device, adopt single channel, continuous spectrum scan mode carries out spectral scan, spectral scan and spectrum picture collection are synchronously carried out, obtain the sample spectra cube be made up of some width spectrum pictures, Hi-pass filter is adopted to carry out noise remove to sample spectra cube, and then it is average to the pixels statistics corresponding to sample, and normalization obtains the sample characteristic curve of spectrum, obtain sample characteristic spectrum, 1 time is carried out to the every 24h of same sample, METHOD FOR CONTINUOUS DETERMINATION 5 times, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.84% (infrared is 1.83%) of measured value, show that spectrum imaging device has good stability, otherwise show that spectrum imaging device stability is inadequate.
7. the authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology according to claim 1 and 2, it is characterized in that, after qualification completes, reappearance test is carried out to qualification result, reappearance if reappearance reaches requirement, shows that qualification meets reappearance, if can not reach requirement show that qualification reappearance is inadequate.
8. the authentication method of dens draconis of discerning the false from the genuine fast based on spectral imaging technology according to claim 7, it is characterized in that, described reappearance test adopts following method: separately get with dens draconis to be measured with a collection of other 4 dens draconis to be measured, identify respectively one by one again, contrast the characteristic spectrum curve of 5 times, article 5, the similarity (measuring by its covariance) of curve peak shape is all greater than 0.95, its characteristic peak invariant position, the uncertainty of each characteristic peak relative light intensity fluctuation is less than or equal to 1.83% (infrared is 1.81%) of measured value, show that qualification meets reappearance, otherwise show that qualification reappearance is inadequate.
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