CN116067964B - Method and system for promoting fish muscle embrittlement by utilizing condensed tannin - Google Patents
Method and system for promoting fish muscle embrittlement by utilizing condensed tannin Download PDFInfo
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Abstract
The invention belongs to the technical field of intelligent cultivation, and provides a method for promoting fish muscle embrittlement by utilizing condensed tannins, wherein condensed tannins with different concentrations are added into feed to form test feed, and then the test feed is fed to fishes with different weights to form embrittled fish; obtaining a section microscopic image from fish, and calculating embrittlement parameters through the microscopic image; then constructing a tannin error testing model according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and calculating the embrittlement equilibrium level; and finally, outputting the result to the client by combining the embrittlement balance level. Therefore, the process that the proper adding proportion of the active ingredients can be obtained through repeated tests and measurements is avoided, the research efficiency of the embrittled fish feed is greatly improved, and the daily and monthly market demands are met.
Description
Technical Field
The invention belongs to the technical field of intelligent cultivation, and particularly relates to a method and a system for promoting fish muscle embrittlement by utilizing condensed tannin.
Background
With the development of fish farming industry, the requirements of markets on the meat quality of various fishes are increasing, and especially the requirements of embrittled fish meat in China are obviously increasing. In the traditional breeding industry, the method for embrittling fish meat by industry personnel is to add broad beans into feed, and the traditional technology has the problem of high price of the broad beans, so that the cost of feed and breeding is increased. The conventional technology in the industry is to add main active ingredients in broad beans to feed, wherein the main active ingredients in broad beans comprise faside, tannin, L-phenylalanine and the like. However, in the process of developing such feeds, fishes to be embrittled and basic feeds are uncertain, and the embrittlement effect of the fishes can be affected by too much or too little active ingredient, wherein the effect comprises group elasticity, adhesiveness, mastication, resilience and the like, so that the proper addition proportion of the active ingredient can be obtained by repeated tests and measurements, the process is tedious and low in efficiency, and the daily and monthly market demands cannot be met.
Disclosure of Invention
The invention aims to provide a method and a system for promoting fish muscle embrittlement by utilizing condensed tannin, which are used for solving one or more technical problems in the prior art and at least providing a beneficial selection or creation condition.
In order to achieve the above object, according to an aspect of the present invention, there is provided a method for promoting embrittlement of fish muscle using condensed tannins, the method comprising the steps of:
s100, acquiring a section microscopic image from fish;
s200, calculating embrittlement parameters through microscopic images;
s300, constructing a tannin error testing model according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and calculating the embrittlement equilibrium level; and outputting the result to the client in combination with the embrittlement balance level.
Further, in step S100, the method for acquiring a microscopic image of a section from fish is: sampling the muscle of the target fish species by a sampling device to obtain a fish muscle sample, wherein the sampling device can be a fixing device for sampling the muscle of the live fish with the publication number of CN 205785876U; washing and sucking water on the surface of the fish muscle sample in normal saline; dyeing is carried out by a Rayleigh dyeing method, and a section microscopic image of the fish muscle sample can be acquired by any one of a microscope camera and a scanning electron microscope; wherein the slice thickness requirement of the fish muscle sample can be 4-15 mu m;
wherein, 250mg/kg may be preferably used as a concentration step, and the concentration of every other concentration step from 0mg/kg to 5g/kg is used as a test degree; taking feed which is fed to fishes and is not added with condensed tannin or broad beans as basic feed, adding condensed tannin into the basic feed to form various groups of test feeds with condensed tannin concentration being respectively in each test degree and concentration difference, and recording the variety number of the test feeds as fc_N; taking 250mg/kg as a concentration step, and taking the concentration of every other concentration step from 0mg/kg to 5g/kg as a test degree; taking feed which is fed to fishes and is not added with condensed tannin or broad beans as basic feed, adding condensed tannin into the basic feed to form various groups of test feeds with condensed tannin concentration being respectively in each test degree and concentration difference, and recording the variety number of the test feeds as fc_N;
the fish which needs to be subjected to muscle embrittlement can be used as a target fish species; the average weight of the mature individual of the target fish species is recorded as EWt, and 0.3EWt, 0.45EWt, 0.6EWt, 0.75EWt and 0.9EWt are respectively used as different test body amounts;
fc_N fish ponds can be arranged as test ponds, so that each test pond contains target fish seeds of various test body amounts, and only one group of test feeds are fed to the same test pond, so that each group of test feeds has one-to-one corresponding test pond; starting from the same natural day, feeding corresponding groups of test feeds into each test pool respectively; feeding day_N natural future target fingerlings as embrittled fish by using test feed, wherein day_N epsilon [20, 40];
the fish can be any one of tilapia, anhui fish, mackerel, silver carp or grass carp.
Further, in step S200, the method of calculating the embrittlement parameter through the microscopic image is: preprocessing a microscopic image to obtain a gray level image, and performing image segmentation on the gray level image through an edge detection algorithm to form a plurality of mutually independent closed areas, wherein each closed area is used as a first mark domain; acquiring all first mark domains on a microscopic image; taking the arithmetic average value of the gray values of all pixels in the first mark domain as the domain average gray value of the first mark domain; the gray value of the whole microscopic image is recorded as an image average gray value; each first mark domain with the domain average gray value larger than the image average gray value is marked as a third mark domain;
the distance between two pixels in a third mark domain is recorded as a first intra-domain distance, two pixels with the maximum value in the first intra-domain distance in the third mark domain are obtained and recorded as transverse pixels, the distance between the transverse pixels is recorded as a second intra-domain distance IDSS, a vertical line is formed in the middle of a connecting line of the two transverse pixels, each pixel which belongs to the third mark domain on the vertical line is obtained and used as a sub-longitudinal pixel, and two pixels with the maximum value in the first intra-domain distance in the sub-longitudinal pixel are obtained and recorded as longitudinal pixels; the distance between longitudinal pixels is denoted as the third intra-domain distance IDST; calculating a two-dimensional degree of integration DMDG of the third marker field, dmdg=ln (IDST/(idss+1)); calculating embrittlement parameter BrkDG:
where j1 is an accumulation variable, the number of third tag fields is denoted as n_TMZ, sz j1 Representing the number of pixels of the j1 th third mark domain, szmx representing the number of pixels of the third mark domain having the largest number of pixels in each third mark domain;
arithmetic mean of the total number of pixels representing each third marker field, DMDG j1 Is the two-dimensional product of the j1 st third marker field.
The problem that the embrittlement parameter is excessively sensitive to the third mark domain with larger or smaller total pixel amount in the calculation process is caused by the insufficient screening of the third mark domain in the calculation process of the embrittlement parameter, however, the problem that the third mark domain is excessively sensitive cannot be solved in the prior art, and in order to improve the compatibility of the third mark domain with different total pixel amounts and eliminate the excessive sensitivity phenomenon of the special total pixel amount in the calculation process of the embrittlement parameter, the invention proposes a more preferable scheme that the second mark domain is further used for replacing the third mark domain: the accuracy of embrittlement parameter calculation is improved;
further, the method for calculating the embrittlement parameter degree can be as follows: taking the number of pixels occupied by the first mark domain as the first class domain integration of the first mark domain; taking the median of the first class domain integrality of each first mark domain as the first class domain integrality level; if the first class domain integrity of a first mark domain is greater than or equal to the first class domain integrity level, defining that the first mark domain meets the first class integrity requirement; taking the arithmetic average value of the gray values of the pixels in the first mark domain as the second domain integration of the first mark domain; taking the median of the second class domain integrality of each first mark domain as the second class domain integrality level; if the second class domain integrity of a first mark domain is greater than or equal to the second class domain integrity level, defining that the first mark domain meets the second class integrity requirement;
defining a pixel as an edge pixel of a first marker field if at least one pixel exists in eight neighborhoods of the pixel in the first marker field and does not belong to the first marker field; taking the distance between two edge pixels in the same first mark domain as a first domain edge distance, and obtaining the maximum value in the first domain edge distance between the same edge pixel and other edge pixels as a domain edge distance zimd; screening out the edge degree pixel which is closest to the edge degree pixel and belongs to a first mark domain different from the edge degree pixel as a near-domain pixel of the edge degree pixel, and recording the distance between the edge degree pixel and the near-domain pixel as an external edge degree distance zomd of the edge degree pixel; calculating the third class domain product TrdZDg of each edge degree in the first mark domain;
where i1 is the accumulation variable and n_ egi is the number of edge pixels in a first field, expressed as zimd i1 Zomd i1 Respectively representing the inner edge distance and the outer edge distance of the ith 1 edge pixel; third with respective first tag fieldsThe median of class domain integrity is taken as the third class domain integrity level; if the third class domain integrity of a first mark domain is greater than or equal to the third class domain integrity level, defining that the first mark domain meets the third class integrity requirement; if a first mark domain meets the first type of integration requirement, the second type of integration requirement and the third type of integration requirement at the same time, defining the first mark domain as a second mark domain;
and calculating the insection product degree for each second mark domain: in the second flag field, if there is only one or only two pixels in the octal of one side pixel, which does not belong to the first flag field, the side pixel is noted as an internal tooth pixel tohn, and if there is only one or only two pixels in the octal of one side pixel, which belongs to the first flag field, the side pixel is noted as an external tooth pixel TohOu; the side degree pixel which belongs to neither the external tooth pixel nor the internal tooth pixel is marked as a non-tooth pixel Utoh; calculating the insection accumulation TBDg of the second mark domain as follows:
TBDg＝ln(cnt(TohIn)/cnt(TohOu))* ln(cnt(TohIn)+cnt(TohOu)/cnt(UToh))；
wherein cnt (TohIn), cnt (TohOu) and cnt (UToh) represent the number of TohIn, tohOu and UToh in the same second tag domain, respectively; calculating embrittlement parameter BrkDG through TBDg;
BrkDg＝E(TBDg)×exp(rtFTY)；
where E (TBDg) represents the arithmetic mean of the insection accumulation TBDg of each second marker field, rtFTY is the ratio of the number of pixels of the first marker field to the number of pixels of the second marker field, exp () represents an exponential function based on a natural constant E.
The embrittlement characteristics are extracted from the image, the fish embrittlement effect is quantified numerically, the description of the embrittlement effect is greatly enhanced, the quantification of the embrittlement effect is beneficial to reducing the data deviation brought by unstable measurement methods such as visual perception, and the like, so that the measurement and calculation process is standardized, a large amount of calculation resources are saved, and the measurement and calculation conversion rate of the method is improved; provides more scientific and effective conversion effect for further improving and researching the tannin content for promoting fish muscle embrittlement.
Further, the method for preprocessing the microscopic image comprises the following steps: graying the microscopic image to form a gray scale image; the image denoising method for the gray level image can be a method using an average filter or a method using an adaptive wiener filter.
Further, the method for dividing the gray level image by the edge detection algorithm to form a plurality of mutually independent closed areas comprises the following steps: performing edge detection by using a differential operator, wherein the differential operator can be any one of a Roberts operator, a Laplace operator or a Sobel operator; the image is segmented by edge detection so that each pixel is allocated to each segmented region, thereby forming a plurality of mutually independent closed regions in the gray scale map.
Further, in step S300, a tannin error test model is constructed according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and the embrittlement equilibrium level is calculated; the method for outputting the result to the client by combining the embrittlement balance level comprises the following steps: taking the embrittlement parameter under each group of test feeds with the same test volume as one row, and taking the embrittlement parameter under each group of test feeds with different test volumes as one row to construct a matrix as a tannin error testing model TsMdl; taking different groups of test feeds as test feed groups, namely taking all groups of feeds with different condensed tannins concentrations as test feed groups respectively; j2 is used as the serial number of the test body, and j3 is used as the serial number of the test feed group; calculating a unit gain degree UnPRD for each element in TsMdl, wherein the unit gain degree of the j2 th row and j3 th column element is UnPRD (j 2, j 3);
UnPRD(j2,j3)＝|TsMdl(j2,j3)－TsMdl(j2,j3-1)|；
wherein, when TsMdl (j 2, j 3-1) is not present, the value of UnPRD (j 2, j 3) is 0; the maximum value in UnPRD of each element in j2 row is marked as TPRD j2 The method comprises the steps of carrying out a first treatment on the surface of the The maximum value of the values in each element of the j2 th row is marked as FBDG j2 The method comprises the steps of carrying out a first treatment on the surface of the Calculating embrittlement equilibrium product BRBLD (j 2, j 3) for the j3 rd element of the j2 nd line in the tannin trial-and-error model:
BRBLD(j2,j3)＝ln(TPRD j2 /UnPRD(j2,j3))×ln((TsMdl(j2,j3)- FBDG j2 )/FBDG j2 )；
calculating the total embrittlement balance total integration SMRBLD of each group of test feeds, wherein the total embrittlement balance total integration SMRBLD of the test feeds corresponding to the j3 th column element i3 The method comprises the following steps:
the method comprises the steps of carrying out a first treatment on the surface of the SMRBLD i3 The serial number of the column having the maximum value is designated as j3', and col (j 3' -1) and col (j 3 ') represent the tannin concentration of the test feed group corresponding to the (j 3' -1) th column and the j3' th column, respectively; wherein the total of the different test volumes is denoted n_j2; finally, the numerical interval [ col (j 3 '-1), col (j 3')]And as a result, sending alarm information which can be used as fish meat quality detection to the user side.
However, during the process of obtaining the result, an overfitting phenomenon occurs to the result with high embrittlement degree, which further causes the problem of excessive dependence on experimental data with high embrittlement degree, meanwhile, the prior art cannot solve the overfitting problem, and in order to more uniformly utilize the embrittlement parameter data and solve the overfitting problem, misleading guidance caused by the overfitting phenomenon to the result is eliminated, so the invention provides a more preferable scheme for obtaining a numerical interval as a result, which is as follows:
further, the method for obtaining the numerical interval as a result may be: the first preferred embrittlement content and the second preferred embrittlement content are obtained for the respective test volumes: taking i2 as the serial number of the test body, and using TsMdl [ i2] to represent the i2 line element in the tannin error testing model; taking i3 as the serial number of the test feed group, and taking TsMdl (i 2, i 3) as the i2 th row and i3 rd column elements in the tannin trial-error model; calculating a first level of embrittlement effectiveness fbr_dg (i 2, i 3) for each element;
fbr_dg (i 2, i 3) = |tsmdl (i 2, i 3) -TsMdl (i 2, i 3-1) |×|tsmdl (i 2, i 3) -TsMdl (i 2, i3+1) |; when TsMdl (i 2, i 3-1) or TsMdl (i 2, i3+1) is not present, tsMdl (i 2, i 3) is replaced; calculating a first embrittlement effectiveness ratio FBrRT corresponding to each element i2,i3 =exp (fbr_dg (i 2, i 3-1)/fbr_dg (i 2, i 3)); obtaining TsMdl [ i2]]The sequence number of the column corresponding to the element having the largest value is denoted as i3', and TsMdl [ i2]]The (i 3' th element of the composition starts to TsMdl [ i2]]Square of the first element in (a)The first embrittlement effect product ratio of each element is searched and compared, the serial number of the column corresponding to the element with the first appearance value smaller than the first appearance value is marked as i3', and the test feed group corresponding to the i3' column with the serial number of the test body number of i2 is the first preferred embrittlement content; the test feed group corresponding to the i3' column with the serial number of the test body number i2 is the second preferred embrittlement content; the embrittlement equilibrium level of the test mass number i2 is DNCZone ε [ col (i 3) ], col (i 3')]Wherein col (i 3 ') and col (i 3') represent the tannin concentration of the test feed group corresponding to column i3 'and column i3', respectively;
the first embrittlement equilibrium level value FEQDg (i 2), numbered i2, is: FEQDg (i 2) =mean ({ col (i 3 "), col (i 3') }; wherein mean () is an average function; the maximum value of the first embrittlement equilibrium level values of the respective test volumes is referred to as a first preferred concentration FEQDgr;
if one test feed group is included within the embrittlement equilibrium level by one test body, defining that the test feed group has a standard event, and combining the total number of times that the test feed group has the standard event under different test body amounts as standard base avtms;
each test feed group with the test body number i2 is respectively marked as an embrittlement balance dimension with the test body number i2, and the total amount of the embrittlement balance dimension with the test body number i2 is marked as wt (i 2), and wt (i 2) =i3' -i3 "+1; calculating a second embrittlement equilibrium level value SEQDg (i 2) as:
wherein i4 is an accumulated variable, and the standard base corresponding to the ith 4 embrittlement equilibrium dimension is marked as wt.% i4 Col (i 3 "+i4) represents the tannin concentration of the test feed group corresponding to column (i 3" +i4);
calculating an arithmetic mean of the second embrittlement equilibrium level values of the respective test volumes as a second preferred concentration SEQDgr; the value interval [ FEQDgr, SEQDgr ] is sent to the client as a result.
The result interval is calculated according to tannin mixed feeds with different concentrations and embrittlement parameters of fishes with different amounts, so that the position where the embrittlement effect appears can be accurately marked, and the accuracy of the tannin mixed concentration interval with higher conversion rate between the tannin and the fish embrittlement degree can be improved; thereby further reducing the complexity and redundancy of measuring and calculating the addition amount of tannin through experiments and greatly saving the scientific research time cost of the feed for the embrittled fish.
Preferably, all undefined variables in the present invention, if not explicitly defined, may be thresholds set manually.
The present invention also provides a system for promoting fish muscle embrittlement using condensed tannins, the system for promoting fish muscle embrittlement using condensed tannins comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in the method for promoting fish muscle embrittlement using condensed tannins when executing the computer program, the system for promoting fish muscle embrittlement using condensed tannins being executable on a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud data center, the executable system including, but not limited to, a processor, a memory, a server cluster, the processor executing the computer program being executable in units of:
a pattern acquisition unit for acquiring a slice microscopic image from fish;
the embrittlement quantization unit is used for calculating embrittlement parameters through microscopic images;
the model building unit is used for building a tannin error testing model according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and calculating the embrittlement balance level;
and the result output unit is used for outputting the result to the client in combination with the embrittlement balance level.
The beneficial effects of the invention are as follows: the invention provides a method and a system for promoting fish muscle embrittlement by utilizing condensed tannin, which quantizes fish muscle embrittlement effect by a machine vision technology on the premise of reducing collected physical quantity data as much as possible and reducing distortion, further reduces complexity and redundancy of measuring and calculating tannin addition amount by experiments by a method of constructing a model, and greatly saves scientific research time cost of embrittled fish feed.
Drawings
The above and other features of the present invention will become more apparent from the detailed description of the embodiments thereof given in conjunction with the accompanying drawings, in which like reference characters designate like or similar elements, and it is apparent that the drawings in the following description are merely some examples of the present invention, and other drawings may be obtained from these drawings without inventive effort to those of ordinary skill in the art, in which:
FIG. 1 is a flow chart of a method for promoting fish muscle embrittlement using condensed tannins;
FIG. 2 is a diagram showing the construction of a system for promoting fish muscle embrittlement using condensed tannins.
Detailed Description
The conception, specific structure, and technical effects produced by the present invention will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present invention. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
A flowchart of a method for promoting fish muscle embrittlement using condensed tannins is shown in fig. 1, and a method for promoting fish muscle embrittlement using condensed tannins according to an embodiment of the present invention is described below with reference to fig. 1, the method comprising the steps of:
s100, adding condensed tannins with different concentrations into the feed to form a test feed;
s200, feeding test feeds to fishes with different weights to form embrittled fishes;
s300, obtaining a section microscopic image from fish;
s400, calculating embrittlement parameters through microscopic images;
s500, constructing a tannin error testing model according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and calculating the embrittlement equilibrium level; and outputting the result to the client in combination with the embrittlement balance level.
Further, in step S100, condensed tannins are added to the feeds to form groups of test feeds having concentration differences, which are: taking 250mg/kg as a concentration step, and taking the concentration of every other concentration step from 0mg/kg to 5g/kg as a test degree; the fish feed without condensed tannin or broad beans is used as basic feed, the condensed tannin is added into the basic feed to form each group of test feeds with concentration differences of condensed tannin concentration at each test degree, and the number of types of the test feeds is denoted as fc_N.
Further, in step S200, the method of feeding test feed to fish is: taking fish needing muscle embrittlement as a target fish species; the average weight of the mature individual of the target fish species is recorded as EWt, and 0.3EWt, 0.45EWt, 0.6EWt, 0.75EWt and 0.9EWt are respectively used as different test body amounts;
arranging fc_N fish ponds as test ponds, wherein each test pond contains target fish seeds with various test body amounts, and only one group of test feeds are fed to the same test pond, so that each group of test feeds has one-to-one corresponding test pond; starting from the same natural day, feeding corresponding groups of test feeds into each test pool respectively; and (3) feeding day_N target fish seeds which are natural and future by using test feed as embrittled fish, wherein day_N E [20, 40].
The fish can be any one of tilapia, anhui fish, mackerel, silver carp or grass carp;
further, in step S300, the method for acquiring a microscopic image of a section from fish is: sampling the muscles of the target fish species by a sampling device to obtain a fish muscle sample, wherein the sampling device can be a fixing device with the publication number of CN205785876U for sampling the muscles of the live fish, and then slicing and sampling are carried out to obtain the fish muscle sample; washing and sucking water on the surface of the fish muscle sample in normal saline; dyeing by a Rayleigh dyeing method, and acquiring a section microscopic image of the fish muscle sample by any one of a microscope camera and a scanning electron microscope; wherein the slice thickness of the fish muscle sample is required to be 4-15 mu m.
Further, in step S400, the method of calculating the embrittlement parameter through the microscopic image is: preprocessing a microscopic image to obtain a gray level image, and performing image segmentation on the gray level image by using edge lines obtained by an edge detection algorithm to form a plurality of mutually independent closed areas, wherein each closed area is used as a first mark domain; acquiring all first mark domains on a microscopic image; taking the arithmetic average value of the gray values of all pixels in the first mark domain as the domain average gray value of the first mark domain; the gray value of the whole microscopic image (namely the arithmetic average value of the gray values of all pixels of the whole gray image) is recorded as an image average gray value; each first mark domain with the domain average gray value larger than the image average gray value is marked as a third mark domain;
the distance between two pixels in a third mark domain is recorded as a first intra-domain distance, two pixels with the maximum value in the first intra-domain distance in the third mark domain are obtained and recorded as transverse pixels, the distance between the transverse pixels is recorded as a second intra-domain distance IDSS, a vertical line is formed in the middle of a connecting line of the two transverse pixels, each pixel which belongs to the third mark domain on the vertical line is obtained and used as a sub-longitudinal pixel, and two pixels with the maximum value in the first intra-domain distance in the sub-longitudinal pixel are obtained and recorded as longitudinal pixels; (the embrittled fish meat gray value is dark, and the embrittled embrittlement strong characteristic region is selected by the locating frame), and the distance between the longitudinal pixels is recorded as a third intra-domain distance IDST; calculating a two-dimensional degree of integration DMDG of the third marker field, dmdg=ln (IDST/(idss+1)); calculating embrittlement parameter BrkDG:
where j1 is an accumulation variable, the number of third tag fields is denoted as n_TMZ, sz j1 Representing the number of pixels of the j1 th third mark domain, szmx representing the number of pixels of the third mark domain having the largest number of pixels in each third mark domain;
arithmetic mean of the total number of pixels representing each third marker field, DMDG j1 Is the two-dimensional degree of the j1 th third mark domain, and ln is the natural logarithm.
Further, the method for calculating the embrittlement parameter degree can be as follows: taking the number of pixels occupied by the first mark domain as the first class domain integration of the first mark domain; taking the median of the first class domain integrality of each first mark domain as the first class domain integrality level; if the first class domain integrity of a first mark domain is greater than or equal to the first class domain integrity level, defining that the first mark domain meets the first class integrity requirement; taking the arithmetic average value of the gray values of the pixels in the first mark domain as the second domain integration of the first mark domain; taking the median of the second class domain integrality of each first mark domain as the second class domain integrality level; if the second class domain integrity of a first mark domain is greater than or equal to the second class domain integrity level, defining that the first mark domain meets the second class integrity requirement;
defining a pixel as an edge pixel of a first marker field if at least one pixel exists in eight neighborhoods of the pixel in the first marker field and does not belong to the first marker field; taking the distance between two edge pixels in the same first mark domain as a first domain edge distance, and obtaining the maximum value in the first domain edge distance between the same edge pixel and other edge pixels as a domain edge distance zimd; screening out the edge degree pixel which is closest to the edge degree pixel and belongs to a first mark domain different from the edge degree pixel as a near-domain pixel of the edge degree pixel, and recording the distance between the edge degree pixel and the near-domain pixel as an external edge degree distance zomd of the edge degree pixel; calculating the third class domain product TrdZDg of each edge degree in the first mark domain;
where i1 is the accumulation variable and n_ egi is the number of edge pixels in a first field, expressed as zimd i1 Zomd i1 Respectively represent the 1 st edgeThe inner edge distance and the outer edge distance of the degree pixels; taking the median of the third class domain integrality of each first mark domain as the third class domain integrality level; if the third class domain integrity of a first mark domain is greater than or equal to the third class domain integrity level, defining that the first mark domain meets the third class integrity requirement; if a first mark domain meets the first type of integration requirement, the second type of integration requirement and the third type of integration requirement at the same time, defining the first mark domain as a second mark domain;
and calculating the insection product degree for each second mark domain: in the second flag field, if there is only one or only two pixels in the octal of one side pixel, which does not belong to the first flag field, the side pixel is noted as an internal tooth pixel tohn, and if there is only one or only two pixels in the octal of one side pixel, which belongs to the first flag field, the side pixel is noted as an external tooth pixel TohOu; the side degree pixel which belongs to neither the external tooth pixel nor the internal tooth pixel is marked as a non-tooth pixel Utoh; calculating the insection accumulation TBDg of the second mark domain as follows:
TBDg＝ln(cnt(TohIn)/cnt(TohOu))* ln(cnt(TohIn)+cnt(TohOu)/cnt(UToh))；
wherein cnt (TohIn), cnt (TohOu) and cnt (UToh) represent the number of TohIn, tohOu and UToh in the same second tag domain, respectively; calculating embrittlement parameter BrkDG through TBDg;
BrkDg＝E(TBDg)×exp(rtFTY)；
where E (TBDg) represents the arithmetic mean of the insection accumulation TBDg of each second marker field, rtFTY is the ratio of the number of pixels of the first marker field to the number of pixels of the second marker field, exp () represents an exponential function based on a natural constant E.
Further, the method for preprocessing the microscopic image comprises the following steps: graying the microscopic image to form a gray scale image; the image denoising method for the gray level image can be a method using an average filter or a method using an adaptive wiener filter.
Further, the method for dividing the gray level image by the edge detection algorithm to form a plurality of mutually independent closed areas comprises the following steps: performing edge detection by using a differential operator, wherein the differential operator can be any one of a Roberts operator, a Laplace operator or a Sobel operator; the image is segmented by the edge lines acquired by the edge detection, so that each pixel is respectively allocated to each segmented region, and a plurality of mutually independent closed regions are formed in the gray level image.
Further, in step S500, a tannin error test model is constructed according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and the embrittlement equilibrium level is calculated; the method for outputting the result to the client by combining the embrittlement balance level comprises the following steps: taking the embrittlement parameter under each group of test feeds with the same test volume as one row, and taking the embrittlement parameter under each group of test feeds with different test volumes as one row to construct a matrix as a tannin error testing model TsMdl; taking different groups of test feeds as test feed groups, namely taking all groups of feeds with different condensed tannins concentrations as test feed groups respectively; j2 is used as the serial number of the test body, and j3 is used as the serial number of the test feed group; calculating a unit gain degree UnPRD for each element in TsMdl, wherein the unit gain degree of the j2 th row and j3 th column element is UnPRD (j 2, j 3);
UnPRD(j2,j3)＝|TsMdl(j2,j3)－TsMdl(j2,j3-1)|；
wherein, when TsMdl (j 2, j 3-1) is not present, the value of UnPRD (j 2, j 3) is 0; tsMdl (i 2, i 3) represents the i2 th row and i3 rd column element in the tannin trial-and-error model; the maximum value in UnPRD of each element in j2 row is marked as TPRD j2 The method comprises the steps of carrying out a first treatment on the surface of the The maximum value of the values in each element of the j2 th row is marked as FBDG j2 The method comprises the steps of carrying out a first treatment on the surface of the Calculating embrittlement equilibrium product BRBLD (j 2, j 3) for the j3 rd element of the j2 nd line in the tannin trial-and-error model:
BRBLD(j2,j3)＝ln(TPRD j2 /UnPRD(j2,j3))×ln((TsMdl(j2,j3)- FBDG j2 )/FBDG j2 )；
calculating the total embrittlement balance total integration SMRBLD of each group of test feeds, wherein the total embrittlement balance total integration SMRBLD of the test feeds corresponding to the j3 th column element i3 The method comprises the following steps:
the method comprises the steps of carrying out a first treatment on the surface of the Will beSMBRBLD i3 The serial number of the column having the maximum value is designated as j3', and col (j 3' -1) and col (j 3 ') represent the tannin concentration of the test feed group corresponding to the (j 3' -1) th column and the j3' th column, respectively; wherein the total of the different test volumes is denoted n_j2; finally, the numerical interval [ col (j 3 '-1), col (j 3')]As a result (i.e. the degree of embrittlement of the embrittled fish) to the user side.
Further, the method for obtaining the numerical interval as a result may be: the first preferred embrittlement content and the second preferred embrittlement content are obtained for the respective test volumes: taking i2 as the serial number of the test body, and using TsMdl [ i2] to represent the i2 line element in the tannin error testing model; taking i3 as the serial number of the test feed group, and taking TsMdl (i 2, i 3) as the i2 th row and i3 rd column elements in the tannin trial-error model; calculating a first level of embrittlement effectiveness fbr_dg (i 2, i 3) for each element;
fbr_dg (i 2, i 3) = |tsmdl (i 2, i 3) -TsMdl (i 2, i 3-1) |×|tsmdl (i 2, i 3) -TsMdl (i 2, i3+1) |; when TsMdl (i 2, i 3-1) or TsMdl (i 2, i3+1) is not present, tsMdl (i 2, i 3) is replaced; calculating a first embrittlement effectiveness ratio FBrRT corresponding to each element i2,i3 =exp (fbr_dg (i 2, i 3-1)/fbr_dg (i 2, i 3)); obtaining TsMdl [ i2]]The sequence number of the column corresponding to the element having the largest value is denoted as i3', and TsMdl [ i2]]The (i 3' th element of the composition starts to TsMdl [ i2]]Searching and comparing the direction of the first element in the list, wherein the serial number of the column corresponding to the element with the first embrittlement effect product with the smaller value is marked as i3", and the test feed group corresponding to the i3 column with the serial number of the test body i2 is the first preferred embrittlement content; the test feed group corresponding to the i3' column with the serial number of the test body number i2 is the second preferred embrittlement content; the embrittlement equilibrium level of the test mass number i2 is DNCZone ε [ col (i 3) ], col (i 3')]Wherein col (i 3 ') and col (i 3') represent the tannin concentration of the test feed group corresponding to column i3 'and column i3', respectively;
the first embrittlement equilibrium level value FEQDg (i 2), numbered i2, is: FEQDg (i 2) =mean ({ col (i 3 "), col (i 3') }; wherein mean () is an average function; the maximum value of the first embrittlement equilibrium level values of the respective test volumes is referred to as a first preferred concentration FEQDgr;
if one test feed group is included within the embrittlement equilibrium level by one test body, defining that the test feed group has a standard event, and combining the total number of times that the test feed group has the standard event under different test body amounts as standard base avtms;
each test feed group with the test body number i2 is respectively marked as an embrittlement balance dimension with the test body number i2, and the total amount of the embrittlement balance dimension with the test body number i2 is marked as wt (i 2), and wt (i 2) =i3' -i3 "+1; calculating a second embrittlement equilibrium level value SEQDg (i 2) as:
wherein i4 is an accumulated variable, and the standard base corresponding to the ith 4 embrittlement equilibrium dimension is marked as wt.% i4 Col (i 3 "+i4) represents the tannin concentration of the test feed group corresponding to column (i 3" +i4);
calculating an arithmetic mean of the second embrittlement equilibrium level values of the respective test volumes as a second preferred concentration SEQDgr; the value interval FEQDgr, SEQDgr is sent as a result (i.e. the embrittlement degree of the embrittled fish) to the user side.
An embodiment of the present invention provides a system for promoting fish muscle embrittlement by using condensed tannin, as shown in fig. 2, which is a system structure diagram for promoting fish muscle embrittlement by using condensed tannin, and the system for promoting fish muscle embrittlement by using condensed tannin includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in the method for promoting fish muscle embrittlement using condensed tannins when executing the computer program, the system for promoting fish muscle embrittlement using condensed tannins being executable on a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud data center, the executable system including, but not limited to, a processor, a memory, a server cluster, the processor executing the computer program being executable in units of:
the feed grouping unit is used for adding condensed tannins with different concentrations into the feed to form test feed;
the body weight grouping unit is used for feeding test feeds to fishes with different weights to form embrittled fishes;
a pattern acquisition unit for acquiring a slice microscopic image from fish;
the embrittlement quantization unit is used for calculating embrittlement parameters through microscopic images;
the model building unit is used for building a tannin error testing model according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and calculating the embrittlement balance level;
and the result output unit is used for outputting the result to the client in combination with the embrittlement balance level.
The system for promoting fish muscle embrittlement by utilizing condensed tannin can be operated in computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The system for promoting fish muscle embrittlement by utilizing condensed tannins can comprise, but is not limited to, a processor and a memory. It will be appreciated by those skilled in the art that the example is merely an example of a system for promoting fish muscle embrittlement using condensed tannins and is not limiting of a system for promoting fish muscle embrittlement using condensed tannins, and may include more or fewer components than examples, or may combine certain components, or different components, e.g., the system for promoting fish muscle embrittlement using condensed tannins may further include input and output devices, network access devices, buses, and the like.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the system for promoting fish muscle embrittlement using condensed tannins, and which connects various parts of the entire system for promoting fish muscle embrittlement using condensed tannins using various interfaces and lines.
The memory may be used to store the computer program and/or module and the processor may implement the various functions of the system for promoting fish muscle embrittlement using condensed tannins by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Although the present invention has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the invention. Furthermore, the foregoing description of the invention has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the invention that may not be presently contemplated, may represent an equivalent modification of the invention.
Claims (5)
1. A method for promoting fish muscle embrittlement using condensed tannins, the method comprising the steps of:
s100, acquiring a section microscopic image from fish;
s200, calculating embrittlement parameters through microscopic images;
s300, constructing a tannin error testing model according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and calculating the embrittlement equilibrium level; outputting the result to the client by combining the embrittlement balance level;
in step S200, the method for calculating the embrittlement parameter from the microscopic image is as follows: preprocessing a microscopic image to obtain a gray level image, performing image segmentation on the gray level image to form a plurality of mutually independent closed areas, and taking each closed area as a first mark domain; acquiring all first mark domains on a microscopic image; taking the arithmetic average value of the gray values of all pixels in the first mark domain as the domain average gray value of the first mark domain; the gray value of the whole microscopic image is recorded as an image average gray value; each first mark domain with the domain average gray value larger than the image average gray value is marked as a third mark domain;
the distance between two pixels in a third mark domain is recorded as a first intra-domain distance, two pixels with the maximum value in the first intra-domain distance in the third mark domain are obtained and recorded as transverse pixels, the distance between the transverse pixels is recorded as a second intra-domain distance IDSS, a vertical line is formed in the middle of a connecting line of the two transverse pixels, each pixel which belongs to the third mark domain on the vertical line is obtained and used as a sub-longitudinal pixel, and two pixels with the maximum value in the first intra-domain distance in the sub-longitudinal pixel are obtained and recorded as longitudinal pixels; the distance between longitudinal pixels is denoted as the third intra-domain distance IDST; calculating a two-dimensional degree of integration DMDG of the third marker field, dmdg=ln (IDST/(idss+1)); calculating embrittlement parameter BrkDG:
where j1 is an accumulation variable, the number of third tag fields is denoted as n_TMZ, sz j1 Representing the number of pixels of the j1 th third mark field, szmx represents the maximum value of the total number of pixels of each third mark field, wherein the total number of pixels of the third mark field is the number of pixels contained in the third mark field; arithmetic mean representing total number of pixels of each third marker field，DMDG j1 Is the two-dimensional degree of the j1 th third mark domain;
in step S300, a tannin error test model is constructed according to the weight of the fish, the concentration of condensed tannin and the calculated embrittlement parameter, and the embrittlement balance level is calculated; the method for outputting the result to the client by combining the embrittlement balance level comprises the following steps: taking the embrittlement parameter under each group of test feeds with the same test volume as one row, and taking the embrittlement parameter under each group of test feeds with different test volumes as one row to construct a matrix as a tannin error testing model TsMdl; taking different groups of test feeds as test feed groups, namely taking all groups of feeds with different condensed tannins concentrations as test feed groups respectively; j2 is used as the serial number of the test body, and j3 is used as the serial number of the test feed group; calculating a unit gain degree UnPRD for each element in TsMdl, wherein the unit gain degree of the j2 th row and j3 th column element is UnPRD (j 2, j 3);
UnPRD(j2,j3)＝|TsMdl(j2,j3)－TsMdl(j2,j3-1)|；
wherein, when TsMdl (j 2, j 3-1) is not present, the value of UnPRD (j 2, j 3) is 0; the maximum value in UnPRD of each element in j2 row is marked as TPRD j2 The method comprises the steps of carrying out a first treatment on the surface of the The maximum value of the values in each element of the j2 th row is marked as FBDG j2 The method comprises the steps of carrying out a first treatment on the surface of the Calculating embrittlement equilibrium product BRBLD (j 2, j 3) for the j3 rd element of the j2 nd line in the tannin trial-and-error model:
BRBLD(j2,j3)＝ln(TPRD j2 /UnPRD(j2,j3))×ln((TsMdl(j2,j3)- FBDG j2 )/FBDG j2 )；
calculating the total embrittlement balance total integration SMRBLD of each group of test feeds, wherein the total embrittlement balance total integration SMRBLD of the test feeds corresponding to the j3 th column element j3 The method comprises the following steps:
the method comprises the steps of carrying out a first treatment on the surface of the SMRBLD j3 The serial number of the column having the maximum value is designated as j3', and col (j 3' -1) and col (j 3 ') represent the tannin concentration of the test feed group corresponding to the (j 3' -1) th column and the j3' th column, respectively; wherein the total of the different test volumes is denoted n_j2; finally, the numerical interval [ col (j 3 '-1), col (j 3')]And as a result, to the user side.
2. The method for promoting fish muscle embrittlement using condensed tannins according to claim 1, wherein in step S100, the method for obtaining microscopic images of slices from fish is: sampling the muscles of the target fish species by a sampling device to obtain a fish muscle sample; washing and sucking water on the surface of the fish muscle sample in normal saline; dyeing is carried out by a Rayleigh dyeing method, and a section microscopic image of the fish muscle sample is acquired by any one of a microscope camera and a scanning electron microscope.
3. A method for promoting fish muscle embrittlement using condensed tannins according to claim 1, characterized in that the method for preprocessing the microscopic image is: graying the microscopic image to form a gray scale image; and (3) carrying out image denoising on the gray level image, wherein the image denoising method is a method using an average value filter or a method using an adaptive wiener filter.
4. The method for promoting fish muscle embrittlement by condensed tannin according to claim 1, wherein the method for forming a plurality of independent closed regions by image segmentation of gray scale images by an edge detection algorithm is as follows: edge detection is performed by utilizing a differential operator; the image is segmented by edge detection so that each pixel is allocated to each segmented region, thereby forming a plurality of mutually independent closed regions in the gray scale map.
5. A system for promoting fish muscle embrittlement using condensed tannins, the system comprising: a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implementing the steps in the method of any one of claims 1-4 for promoting fish muscle embrittlement with condensed tannins, the system for promoting fish muscle embrittlement with condensed tannins running in a computing device of a desktop computer, a notebook computer and a cloud data center.
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