CN106644957A - Pulp soluble solid distribution imaging method of loquat after picking - Google Patents

Pulp soluble solid distribution imaging method of loquat after picking Download PDF

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CN106644957A
CN106644957A CN201611001232.4A CN201611001232A CN106644957A CN 106644957 A CN106644957 A CN 106644957A CN 201611001232 A CN201611001232 A CN 201611001232A CN 106644957 A CN106644957 A CN 106644957A
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pulp
lambda
soluble solid
loquat
slicing
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吴迪
陈昆松
朱楠
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Zhejiang University ZJU
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    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
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Abstract

The invention discloses a pulp soluble solid distribution imaging method of loquat after picking, and solves the problem that by using the existing detection method, the space distribution of the loquat pulp inside soluble solid cannot be obtained. The method has the advantages that the loquat pulp is cut into small dices according to the space distribution; the soluble solid content of each pulp dice and the spectrum average value are respectively obtained; the correlation is performed on the soluble solid content and the spectrum average value by using a linear regression equation; a prediction model of the soluble solid content and the spectrum value is built; the corresponding soluble solid content is predicted according to the predicted spectrum value of each pixel point of the pulp dice in each position of the sample to be tested; a pixel stage three-dimensional distribution model of the soluble solid in the sample to be tested is built according to the space distribution coordinate of each pixel point of the pulp dices of the sample to be tested; the space visualization imaging of the inside pulp soluble solid distribution of the loquat after the picking is realized.

Description

A kind of loquat adopts the method that rear pulp soluble solid is scattered in picture
Technical field
The invention belongs to spectral detection field, is related to a kind of loquat and adopts the side that rear pulp soluble solid is scattered in picture Method.
Background technology
Loquat is China's local product fruits, and pulp is nutritious, deep to be liked by consumer.Loquat fruit still has life to live after adopting It is dynamic, with quality comparison.Wherein soluble solid is closely related with loquat fruit mouthfeel, is the important index of quality.Cause This, further investigation loquat fruit adopts rear soluble solid change mechanism, adopts rear accumulating mode, extends fruit to improving existing pulp Meat shelf period, reduce pulp adopt after loss etc., it is significant.
The soluble solid content measurement of loquat fruit generally first obtains fritter pulp, then extrudes fruit juice and drips to folding Penetrate reading after instrument prism surface to obtain.But refractometer method is only capable of the overall soluble solid of the fritter pulp for obtaining tested and contains Amount, belongs to spot measurement, it is impossible to obtain space distribution situation of the soluble solid inside loquat fruit.
High light spectrum image-forming technology blends hyperspectral analysis technology and image processing techniques, is obtained in that a series of spectrum Optical imagery combination at wavelength, is a kind of snap information collection, obtains the big modern analytical technique of data volume.At present, bloom Spectral imaging technology is detected it has been reported that general by using high light spectrum image-forming skill to the soluble solid of loquat and other fruit Art obtains fruit surface high spectrum image, so as to realize the Fast nondestructive evaluation of fruit soluble solid.Said method will Spectral detection result rests on the top layer of loquat fruit, it is impossible to obtain the spatial distribution of pulp interior flesh soluble solid Figure, and in fact, distribution of the soluble solid inside loquat fruit is to mouthfeel important, only by the height of epidermis Spectrum picture Non-Destructive Testing obviously cannot obtain the spatial distribution of loquat fruit inside soluble solid, even if being surveyed using multiple spot The mode of amount is simulated spatial distribution state come the soluble solid value for obtaining pulp diverse location, due to choosing measurement point Positioning cannot be accurate, acquired data do not possess continuity yet, and the spatial distribution status data for being obtained there is also error Greatly, the not enough problem of precision, cannot also meet further investigation soluble inside the fruit grown with the preservation and freshness stage The requirement of the change mechanism of solid content.
The content of the invention
Present invention aims to existing detection method cannot obtain the sky of loquat fruit inside soluble solid Between the defect that is distributed, propose that a kind of loquat adopts the method that rear pulp soluble solid is scattered in picture, by obtaining inside pulp High spectrum image, and carry out being obtained after data processing loquat and adopt soluble solid distribution map inside rear pulp.
The present invention solves the scheme that adopted of its technical problem：A kind of loquat adopts rear pulp soluble solid and is scattered in The method of picture, it is characterised in that comprise the following steps：
Step 1：Set up based on the quantitative linearity regression equation of loquat fruit spectral detection soluble solid content；
Step 1.1：N loquat sample of collection is designated as respectively M1、M2、M3、…、Mn；
Step 1.2：For each loquat sample Mi, 1 ＜ i ＜ n, after removing exocarp, along pulp equatorial plane is to cutting and goes Core, removal endocarp, select the cutting planes parallel with equatorial plane to cut pulp, form two end fruit blocks and multiple annulars Fruit block, distance is 0.6 centimetre between cutting planes；Pulp both ends fruit block is no longer finely divided cutting, remaining each annular fruit block Ring is cut into some pieces in parts, then is cut into some pieces in parts along pulp thickness direction, m block pulp strippings and slicings is obtained altogether, respectively It is designated as MI, j, 1 ＜ j ＜ m；
Step 1.3：Gather each pulp stripping and slicing MI, jEach side high spectrum image；
Step 1.4：Each pulp stripping and slicing M is determined using national standard methodI, jSoluble solid content, and respectively as Pulp stripping and slicing MI, jSoluble solid content reference value yI, j；According to national standard《NY/T 2637-2014 fruits and vegetables The measure of soluble solid content》；
Step 1.5：For each pulp stripping and slicing block MI, j, choose 382nm, 387nm, 406nm, 408nm, 412nm, 456nm, 485nm, 510nm, 539nm, 562nm, 933nm, 967nm, 998nm, 1030nm wavelength contains for loquat fruit soluble solid The characteristic wavelength of amount detection, and obtain pulp stripping and slicing MI, jAll sides high spectrum image in pulp fraction all pixels point In the spectrum mean value of each characteristic wavelength, it is designated as respectively
Step 1.6：Using multiple linear regression by pulp stripping and slicing M in step 1.5I, jEach characteristic wavelength spectrum mean value with Pulp stripping and slicing M in step 1.4I, jSoluble solid reference value yI, jFitting is associated, forecast model is set up, was associated Below Cheng Caiyong equations of linear regression one are carried out：
Set up the quantitative linearity regression equation two for predicting loquat fruit spectral detection soluble solid content：
Step 2：Obtain the soluble solid content distribution map of loquat interior flesh to be measured；
Step 2.1：Choose loquat sample N to be measured；
Step 2.2：Stripping and slicing is carried out to loquat sample N to be measured, block cutting method describes method and carries out according to step 1.2, obtain Nz, 1 The common p blocks pulp strippings and slicings of ＜ z ＜ p, record pulp stripping and slicing NzIn the space coordinates of loquat sample N to be measured；
Step 2.3：Collection pulp stripping and slicing NzEach tangent plane high spectrum image, and obtain in image each pixel in feature Wavelength 382nm, 387nm, 406nm, 408nm, 412nm, 456nm, 485nm, 510nm, 539nm, 562nm, 933nm, 967nm, Spectral value at 998nm, 1030nm, is designated as respectively Wherein, (α, beta, gamma) is the coordinate information of each pixel, and α is abscissa information, and β is ordinate Information, γ is tangent plane identification information；
Step 2.4：By the loquat fruit stripping and slicing N to be measured in step 2.3zEach pixel of each tangent plane in each characteristic wave strong point Spectral value substitute into step 1.6 quantitative linearity regression equation two in, the soluble solid for being calculated each pixel is pre- Measured value yZ, (α, β γ)', and the space coordinates according to each pixel in the high spectrum image of place tangent plane, form pulp stripping and slicing Nz Each space coordinates soluble solid content distribution map；
Step 2.5：According to the pulp stripping and slicing N that step 2.4 is obtainedzEach tangent plane soluble solid content distribution map, with And stripping and slicing NzSpace coordinates in sample N, using bicubic interpolation algorithm sample N inside soluble solid content is obtained Latticed space multistory distribution map, realizes that loquat adopts the spatial visualization imaging of rear interior flesh soluble solid distribution.
Preferably, in step 1.2, each annular fruit block ring is cut into parts during some pieces, if annular fruit block 1.2 centimetres of race diameter ＜, then be cut into 4 pieces in parts, if 1.2 centimetres of 2.4 centimetres of ＜ annular fruit block race diameters ＜, decile 8 pieces are cut into, if annular 2.4 centimetres of fruit block race diameter ＞, is cut into 12 pieces in parts.
Preferably, in step 1.2, when being cut into some pieces in parts along pulp thickness direction, if 0.6 li of pulp thickness ＜ Rice, then thickness direction does not cut, if 0.6 centimetre of 1.2 centimetres of ＜ pulp thickness ＜, thickness direction is cut into 2 pieces in parts, if fruit 1.2 centimetres of meat thickness G T.GT.GT, then thickness direction be cut into 3 pieces in parts.
Loquat fruit is cut squarely fritter by the present invention according to spatial distribution, and the solubility of each pulp stripping and slicing is obtained respectively Solid content and spectrum mean value, and set up correlation model, can according to the stripping and slicing of pulp everywhere of prediction sample to be tested each The spectral value prediction corresponding soluble solid content of each of which pixel of pixel, according to the stripping and slicing of sample to be tested pulp each The spatial distribution coordinate of pixel realizes Pi setting up Pixel-level distributed in three dimensions model of the soluble solid in sample to be tested Rake adopts the spatial visualization imaging of rear interior flesh soluble solid distribution.
Specific embodiment
Below by specific embodiment, the present invention will be further described.
Embodiment：A kind of loquat adopts the method that rear pulp soluble solid is scattered in picture, comprises the following steps：
Step 1：Set up based on the quantitative linearity regression equation of loquat fruit spectral detection soluble solid content；
Step 1.1：N loquat sample of collection is designated as respectively M1、M2、M3、…、Mn；
Step 1.2：For each loquat sample Mi, 1 ＜ i ＜ n, after removing exocarp, along pulp equatorial plane is to cutting and goes Core, removal endocarp, select the cutting planes parallel with equatorial plane to cut pulp, form two end fruit blocks and multiple annulars Fruit block, distance is 0.6 centimetre between cutting planes；Pulp both ends fruit block is no longer finely divided cutting, remaining each annular fruit block Ring is cut into some pieces in parts, and each annular fruit block ring is cut into parts during some pieces, if annular fruit block outer ring is straight 1.2 centimetres of footpath ＜, then be cut into 4 pieces in parts, if 1.2 centimetres of 2.4 centimetres of ＜ annular fruit block race diameters ＜, are cut into parts 8 pieces, if annular 2.4 centimetres of fruit block race diameter ＞, is cut into 12 pieces in parts；If being cut into parts along pulp thickness direction again Dry block, if 0.6 centimetre of pulp thickness ＜, thickness direction does not cut, if 0.6 centimetre of 1.2 centimetres of ＜ pulp thickness ＜, thickness Direction is cut into 2 pieces in parts, if 1.2 centimetres of pulp thickness G T.GT.GT, thickness direction is cut into 3 pieces in parts；Obtain m block pulp altogether to cut Block, is designated as respectively MI, j, 1 ＜ j ＜ m；
Step 1.3：Gather each pulp stripping and slicing MI, jEach side high spectrum image；
Step 1.4：Each pulp stripping and slicing M is determined using national standard methodI, jSoluble solid content, and respectively as Pulp stripping and slicing MI, jSoluble solid content reference value yI, j；
Step 1.5：For each pulp stripping and slicing block MI, j, choose 382nm, 387nm, 406nm, 408nm, 412nm, 456nm, 485nm, 510nm, 539nm, 562nm, 933nm, 967nm, 998nm, 1030nm wavelength contains for loquat fruit soluble solid The characteristic wavelength of amount detection, and obtain pulp stripping and slicing MI, jAll sides high spectrum image in pulp fraction all pixels point In the spectrum mean value of each characteristic wavelength, it is designated as respectively
Step 1.6：Using multiple linear regression by pulp stripping and slicing M in step 1.5I, jEach characteristic wavelength spectrum mean value with Pulp stripping and slicing M in step 1.4I, jSoluble solid reference value yI, jFitting is associated, forecast model is set up, was associated Below Cheng Caiyong equations of linear regression one are carried out：
Set up the quantitative linearity regression equation two for predicting loquat fruit spectral detection soluble solid content：
Step 2：Obtain the soluble solid content distribution map of loquat interior flesh to be measured；
Step 2.1：Choose loquat sample N to be measured；
Step 2.2：Stripping and slicing is carried out to loquat sample N to be measured, block cutting method describes method and carries out according to step 1.2, obtain Nz, 1 The common p blocks pulp strippings and slicings of ＜ z ＜ p, record pulp stripping and slicing NzIn the space coordinates of loquat sample N to be measured；
Step 2.3：Collection pulp stripping and slicing NzEach tangent plane high spectrum image, and obtain in image each pixel in feature Wavelength 382nm, 387nm, 406nm, 408nm, 412nm, 456nm, 485nm, 510nm, 539nm, 562nm, 933nm, 967nm, Spectral value at 998nm, 1030nm, is designated as respectively Wherein, (α, beta, gamma) is the coordinate information of each pixel, and α is abscissa information, and β is ordinate Information, γ is tangent plane identification information；
Step 2.4：By the loquat fruit stripping and slicing N to be measured in step 2.3zEach pixel of each tangent plane in each characteristic wave strong point Spectral value substitute into step 1.6 quantitative linearity regression equation two in, the soluble solid for being calculated each pixel is pre- Measured value yZ, (α, beta, gamma)', and the space coordinates according to each pixel in the high spectrum image of place tangent plane, form pulp stripping and slicing NzEach space coordinates soluble solid content distribution map；
Step 2.5：According to the pulp stripping and slicing N that step 2.4 is obtainedzEach tangent plane soluble solid content distribution map, with And stripping and slicing NzSpace coordinates in sample N, using bicubic interpolation algorithm sample N inside soluble solid content is obtained Latticed space multistory distribution map, realizes that loquat adopts the spatial visualization imaging of rear interior flesh soluble solid distribution.

Claims (3)

1. a kind of loquat adopts the method that rear pulp soluble solid is scattered in picture, it is characterised in that comprise the following steps：
Step 1：Set up based on the quantitative linearity regression equation of loquat fruit spectral detection soluble solid content；
Step 1.1：N loquat sample of collection is designated as respectively M1、M2、M3、…、Mn；
Step 1.2：For each loquat sample Mi, 1 ＜ i ＜ n, after removing exocarp, along pulp equatorial plane is to cutting and goes Core, removal endocarp, select the cutting planes parallel with equatorial plane to cut pulp, form two end fruit blocks and multiple annulars Fruit block, distance is 0.6 centimetre between cutting planes；Pulp both ends fruit block is no longer finely divided cutting, remaining each annular fruit block Ring is cut into some pieces in parts, then is cut into some pieces in parts along pulp thickness direction, m block pulp strippings and slicings is obtained altogether, respectively It is designated as MI, j, 1 ＜ j ＜ m；
Step 1.3：Gather each pulp stripping and slicing MI, jEach side high spectrum image；
Step 1.4：Each pulp stripping and slicing M is determined using national standard methodI, jSoluble solid content, and respectively as Pulp stripping and slicing MI, jSoluble solid content reference value yI, j；
Step 1.5：For each pulp stripping and slicing block MI, j, choose 382nm, 387nm, 406nm, 408nm, 412nm, 456nm, 485nm, 510nm, 539nm, 562nm, 933nm, 967nm, 998nm, 1030nm wavelength contains for loquat fruit soluble solid The characteristic wavelength of amount detection, and obtain pulp stripping and slicing MI, jAll sides high spectrum image in pulp fraction all pixels point In the spectrum mean value of each characteristic wavelength, it is designated as respectively
Step 1.6：Using multiple linear regression by pulp stripping and slicing M in step 1.5I, jEach characteristic wavelength spectrum mean value with Pulp stripping and slicing M in step 1.4I, jSoluble solid reference value yI, jFitting is associated, forecast model is set up, was associated Below Cheng Caiyong equations of linear regression one are carried out：
y i , j = a × λ 382 n m i , j + b × λ 387 n m i , j + c × λ 406 n m i , j - d × λ 408 n m i , j - e × λ 412 n m i , j - f × λ 456 n m i , j + g × λ 485 n m i , j + h × λ 510 n m i , j + k × λ 539 n m i , j + l × λ 562 n m i , j + r × λ 933 n m i , j - s × λ 967 n m i , j + t × λ 998 n m i , j + u × λ 1030 n m i , j + v
Set up the quantitative linearity regression equation two for predicting loquat fruit spectral detection soluble solid content：
y ′ = - 685.14 × λ 382 n m ′ + 596.42 × λ 387 n m ′ + 141.74 × λ 406 n m ′ - 98.84 × λ 408 n m ′ - 38.22 × λ 412 n m ′ - 46.04 × λ 456 n m ′ + 9.81 × λ 485 n m ′ + 55.60 × λ 510 n m ′ + 19.97 × λ 539 n m ′ + 22.31 × λ 562 n m ′ + 7.14 × λ 933 n m ′ - 6.49 × λ 967 n m ′ - 33.41 × λ 998 n m ′ + 24.31 × λλ 1030 n m ′ + 7.68 ;
Step 2：Obtain the soluble solid content distribution map of loquat interior flesh to be measured；
Step 2.1：Choose loquat sample N to be measured；
Step 2.2：Stripping and slicing is carried out to loquat sample N to be measured, block cutting method describes method and carries out according to step 1.2, obtain Nz, 1 ＜ The common p blocks pulp strippings and slicings of z ＜ p, record pulp stripping and slicing NzIn the space coordinates of loquat sample N to be measured；
Step 2.3：Collection pulp stripping and slicing NzEach tangent plane high spectrum image, and obtain in image each pixel in feature Wavelength 382nm, 387nm, 406nm, 408nm, 412nm, 456nm, 485nm, 510nm, 539nm, 562nm, 933nm, 967nm, Spectral value at 998nm, 1030nm, is designated as respectively Wherein,(α, beta, gamma)For the coordinate information of each pixel, α is abscissa information, and β is ordinate letter Breath, γ is tangent plane identification information；
Step 2.4：By the loquat fruit stripping and slicing N to be measured in step 2.3zEach pixel of each tangent plane in each characteristic wave strong point Spectral value substitute into step 1.6 quantitative linearity regression equation two in, the soluble solid for being calculated each pixel is pre- Measured value yZ, (α, β γ) ', and the space coordinates according to each pixel in the high spectrum image of place tangent plane, form pulp stripping and slicing Nz Each space coordinates soluble solid content distribution map；
Step 2.5：According to the pulp stripping and slicing N that step 2.4 is obtainedzEach tangent plane soluble solid content distribution map, and Stripping and slicing NzSpace coordinates in sample N, using bicubic interpolation algorithm the net of sample N inside soluble solid content is obtained Lattice space solid distribution map, realizes that loquat adopts the spatial visualization imaging of rear interior flesh soluble solid distribution.
2. a kind of loquat according to claim 1 adopts the method that rear pulp soluble solid is scattered in picture, and its feature exists In in step 1.2, each annular fruit block ring is cut into parts during some pieces, if annular 1.2 lis of fruit block race diameter ＜ Rice, then be cut into 4 pieces in parts, if 1.2 centimetres of 2.4 centimetres of ＜ annular fruit block race diameters ＜, are cut into 8 pieces in parts, if ring 2.4 centimetres of shape fruit block race diameter ＞, then be cut into 12 pieces in parts.
3. a kind of loquat according to claim 1 adopts the method that rear pulp soluble solid is scattered in picture, and its feature exists In in step 1.2, when being cut into some pieces in parts along pulp thickness direction, if 0.6 centimetre of pulp thickness ＜, thickness direction Do not cut, if 0.6 centimetre of 1.2 centimetres of ＜ pulp thickness ＜, thickness direction is cut into 2 pieces in parts, if 1.2 lis of pulp thickness G T.GT.GT Rice, then thickness direction is cut into 3 pieces in parts.
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