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CN119666810A - A method for fluorescence detection of Mycobacterium tuberculosis using tongue swab samples based on image processing - Google Patents

A method for fluorescence detection of Mycobacterium tuberculosis using tongue swab samples based on image processing Download PDF

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Publication number
CN119666810A
CN119666810A CN202510179718.XA CN202510179718A CN119666810A CN 119666810 A CN119666810 A CN 119666810A CN 202510179718 A CN202510179718 A CN 202510179718A CN 119666810 A CN119666810 A CN 119666810A
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flora
module
image
bacterial
bacterial colony
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李忠起
刘阳
刘婧
于欣
郝世恩
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Jilin International Travel Health Care Center Changchun Customs Port Outpatient Department
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Jilin International Travel Health Care Center Changchun Customs Port Outpatient Department
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Abstract

The invention discloses a method for detecting mycobacterium tuberculosis by tongue swab sample fluorescence based on image processing, which relates to the technical field of image processing and comprises a flora monitoring module, an image analysis module and a concentration determination module, wherein the flora monitoring module is used for identifying flora culture fluid and monitoring flora on the flora culture fluid in real time, the image analysis module is used for carrying out straight division processing on a shot image and fitting the outline of the flora, the concentration determination module is used for analyzing the size of the flora, the shape of the bifidobacterium and the life cycle in the image data and carrying out targeted fluorescent agent concentration adjustment on the flora with different growth conditions, and the flora monitoring module comprises an image monitoring unit and a flora culture fluid identification module, wherein the image monitoring unit is electrically connected with the flora culture fluid identification module and the flora identification module, and the flora culture fluid identification module is electrically connected with the flora identification module.

Description

Method for detecting mycobacterium tuberculosis by tongue swab sample fluorescence based on image processing
Technical Field
The invention relates to the technical field of image processing, in particular to a method for detecting mycobacterium tuberculosis by tongue swab sample fluorescence based on image processing.
Background
The tongue swab sample fluorescence detection of the mycobacterium tuberculosis is a laboratory method for tuberculosis diagnosis, and the fluorescence detection technology can rapidly and sensitively identify the existence of the mycobacterium tuberculosis, so that early diagnosis of tuberculosis is realized. In the growth and division process of the mycobacterium tuberculosis, the absorption effect of the fluorescent agent is changed, the initial individuals of growth and division are small, the rod-shaped branching characteristics are not obvious, the quantity of the bacteria is increased along with rapid proliferation of the bacteria, the bacteria can show typical rod-shaped branching structures, and the division speed is slowed down along with apoptosis of the service life of the bacteria.
When the existing bifidobacterium flora is taken out of a culture room and observed for a growth experiment, fluorescent agents with the same concentration are uniformly added for coloring treatment, and the life cycle of the flora is different, and researches show that the life cycle of the flora is different, the concentration of the adaptive fluorescent agents is also different, and the absorption capacity of the bacterial flora on the fluorescent agents is reduced along with the continuation of the life cycle of the bacteria, so that more fluorescent agents are needed for better observation, and the bifidobacterium flora in the early stage of the life cycle can absorb excessive fluorescent agents to cause unclear detail observation. Therefore, it is necessary to design a method for detecting mycobacterium tuberculosis by real-time control based on image processing tongue swab sample fluorescence.
Disclosure of Invention
The invention aims to provide a method for detecting mycobacterium tuberculosis by tongue swab sample fluorescence based on image processing, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides a method for detecting mycobacterium tuberculosis based on tongue swab sample fluorescence of image processing, which comprises a flora monitoring module, an image analysis module and a concentration determination module, wherein the flora monitoring module is used for identifying flora culture solution and monitoring flora on the flora culture solution in real time, the image analysis module is used for carrying out straight division processing on a shot image and fitting flora contours, and the concentration determination module is used for analyzing the flora size, the bifidobacterium shape and the life cycle in image data and carrying out targeted fluorescent agent concentration adjustment on flora with different growth conditions.
According to the technical scheme, the flora monitoring module comprises an image monitoring unit, a flora culture solution identification module and a flora identification module, wherein the image monitoring unit is electrically connected with the flora culture solution identification module and the flora identification module, and the flora culture solution identification module is electrically connected with the flora identification module;
The image monitoring unit is used for acquiring image data of the flora culture solution, the flora culture solution identification module is used for identifying the flora culture solution by utilizing an image identification technology and determining the flora culture solution grown by the flora, and the flora identification module is used for identifying the flora on the flora culture solution and determining the position of the flora in the flora culture solution;
The image analysis module comprises a coordinate establishment module, a growth area division module, a position marking module, a flora outline drawing module and an interval photographing module, wherein the interval photographing module is electrically connected with the position marking module, the position marking module is electrically connected with the flora outline drawing module, the coordinate establishment module is sequentially and electrically connected with the growth area division module and the position marking module, the coordinate establishment module is used for generating a culture area map of a monitored flora culture solution image, the growth area division module is used for intersecting the culture area map with straight lines and vertical lines according to the same interval size and setting boundaries of the intersecting points, the position marking module is used for recording point position coordinates of the flora image elements, the flora outline drawing module is used for identifying outlines of the flora images and drawing simplified flora outlines, and the interval photographing module is used for photographing and recording the images according to a certain period;
The concentration determining module comprises a time marking module, a flora size analyzing module, a growth speed calculating module, an individual shape judging module, a concentration calculating module and a weight determining module, wherein the time marking module is electrically connected with the growth speed calculating module, the growth speed calculating module is electrically connected with the concentration calculating module, and the flora size analyzing module and the individual shape judging module are electrically connected with the flora outline drawing module;
the time marking module is used for calculating time to serve as the basis of other data, the flora size analysis module is used for analyzing the position coordinates of flora image elements and the outline size of the flora, the growth speed calculation module is used for calculating the life cycle of the flora according to the change of the shape and the size of the image photographing record, the individual shape judgment module is used for judging the shape of the individual bifidobacteria in the flora by combining the image elements, the concentration calculation module is used for reducing the concentration of the flora which grows fast, and the weight decision module is used for adjusting the size of the flora and the influence weight of the individual shape on the life cycle of the flora according to the using time of the culture solution.
According to the technical scheme, the working method of the system comprises the following steps:
s1, taking the bifidobacteria and dividing the bifidobacteria into a plurality of parts with similar sizes, shooting the bifidobacteria flora with the same initial size by using an image monitoring unit, generating coordinates of all cross points to serve as growth positions of the flora, and counting the use time of the culture solution;
S2, photographing and recording the image information of the intersection according to a certain period, and not recording the image information at other times, and drawing the outline of the flora according to whether the image elements of the flora appear at the coordinate points;
S3, calculating the outline size of the flora by combining the outline scanning image of the flora to obtain the splitting speed of the flora, and analyzing the shape of the flora to obtain the growth stage of the flora;
s4, adjusting the weight of the shape of the bifidobacteria on the life cycle of the flora in combination with the use time of the culture solution, and calculating the life cycle of the flora;
S5, adjusting the concentration of the fluorescent agent according to the life cycle of the flora, so that the observation conditions of each flora are adjusted to be similar, and unified observation and comparison are facilitated.
According to the above technical scheme, in S3, the method for calculating the outline size of the flora includes:
S3-1, after the flora recognition module recognizes the flora outline, the flora outline drawing module is used for marking and locking pixel points in the shape edge of the flora picture, and smooth connection is carried out on adjacent pixel points, and the image grid takes the flora distance from the image monitoring unit as a reference distance The reference unit area at the time is;
S3-2, calculating the number of image grids of the outline surrounded by the smooth connecting linesThe image size of the flora is the image size, and the distance value is perceived by the distance of the imageQuantifying the flora propagation speed at the current distanceAt the same timeThe greater the speed of the splitting is the faster,The conversion coefficient of the image size and the propagation speed of the flora.
According to the above technical scheme, in S3, the specific method for analyzing the shape of the flora is as follows:
s3-3, the coordinates of the transverse extreme points of the individual bifidobacteria in the flora in the microscope picture are respectively And connecting the marked points to draw as a bifidobacterium midrace transverse drawing line;
s3-4, the coordinates of the longitudinal extreme points of the individual bifidobacteria in the flora in the microscope picture are respectively And connecting the marked points to draw as a longitudinal drawing line of the bifidobacterium middleyanum;
S3-5, performing shape analysis on all the individual bifidobacteria in the flora, and calculating the average rod-shaped divergence characteristic of the individual bifidobacteria in the flora, namely the growth stage value ,
,
,,,,,,,Are the coordinate values of the mark points,The larger the growth phase the closer to maturity.
According to the above technical scheme, in S4, the life cycle of the floraThe method for calculating is that the ratio of different stages of the bacterial colony development and the shape and size after maturation are different, the bacterial colony propagation speed and the bacterial colony growth stage valueNeither can fully accurately reflect the life cycle of the flora,Speed of propagation for floraAnd growth stage value of floraIs the integrated value of (1), i.e,Is a weight coefficient of the propagation speed of the flora,The weight coefficient of the bacterial colony in the growth stage is taken according to practical experience, and in the initial stage of using the bacterial in the culture solution,Maximally, with the continuous use of the culture solution,Will decrease in proportion to the time of use.
According to the above technical scheme, in S5, the method for adjusting the concentration of the fluorescent agent comprises setting an injection point for each coordinate point, and taking pictures at intervals according to the life cycle of the flora in the normal growth stage of the floraPreliminary setting of the concentration of the fluorescent agent, i.e. standard life cycle of the flora at different time points, is performedRespectively isThe standard concentration of the corresponding fluorescent agent is respectivelyWhen the life cycle of a certain floraBelow the corresponding point in timeWhen the concentration of the fluorescent agent is reducedOtherwise increase。
According to the above technical scheme, in S5, the specific calculation method of the concentration of the fluorescent agent is as follows: Wherein The concentration conversion coefficient of the fluorescent agent.
Compared with the prior art, the method has the beneficial effects that the splitting speed and the growth stage of the bifidobacterium flora are comprehensively counted through an image analysis method to obtain the life cycle of the flora, the two factors are comprehensively considered in the calculation method of the life cycle, the phenomenon of overlarge deviation caused by single judgment is avoided, and meanwhile, the concentration of the fluorescent agent is adjusted through the method, so that the life cycle which is as consistent as possible is convenient to observe accurately.
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The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic view of the overall module structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the method for detecting mycobacterium tuberculosis based on tongue swab sample fluorescence of image processing comprises a flora monitoring module, an image analysis module and a concentration determination module, wherein the flora monitoring module is used for identifying flora culture solution and monitoring flora on the flora culture solution in real time, the image analysis module is used for carrying out straight division processing on photographed images and fitting flora contours, and the concentration determination module is used for analyzing the size of the flora, the shape of the bifidobacterium and the life cycle in image data and carrying out targeted fluorescent agent concentration adjustment on the flora with different growth conditions;
the flora monitoring module comprises an image monitoring unit, a flora culture solution identification module and a flora identification module, wherein the image monitoring unit is electrically connected with the flora culture solution identification module and the flora identification module, and the flora culture solution identification module is electrically connected with the flora identification module;
The image monitoring unit is used for acquiring image data of the flora culture solution, the flora culture solution identification module is used for identifying the flora culture solution by utilizing an image identification technology and determining the flora culture solution grown by the flora, and the flora identification module is used for identifying the flora on the flora culture solution and determining the position of the flora in the flora culture solution;
The image analysis module comprises a coordinate establishment module, a growth area division module, a position marking module, a flora outline drawing module and an interval photographing module, wherein the interval photographing module is electrically connected with the position marking module, the position marking module is electrically connected with the flora outline drawing module, the coordinate establishment module is sequentially electrically connected with the growth area division module and the position marking module, the coordinate establishment module is used for generating a culture area map of a monitored flora culture solution image, the growth area division module is used for intersecting the culture area map with a straight line and a vertical line according to the same interval size and setting the boundary of the intersection point, the position marking module is used for recording the point position coordinates of the flora image elements, the flora outline drawing module is used for identifying the outline of the flora image, drawing a simplified flora outline, and the interval photographing module is used for photographing and recording the image according to a certain period;
The concentration determining module comprises a time marking module, a flora size analyzing module, a growth speed calculating module, an individual shape judging module, a concentration calculating module and a weight determining module, wherein the time marking module is electrically connected with the growth speed calculating module, the growth speed calculating module is electrically connected with the concentration calculating module, and the flora size analyzing module and the individual shape judging module are electrically connected with the flora outline drawing module;
The time marking module is used for calculating time as the basis of other data, the flora size analysis module is used for analyzing the position coordinates of flora image elements and the outline size of the flora, the growth speed calculation module is used for calculating the life cycle of the flora according to the changes of the shape and the size of the image photographing record, the individual shape judgment module is used for judging the shape of the individual bifidobacteria in the flora by combining the image elements, the concentration calculation module is used for reducing the concentration of the flora which grows fast, and the weight decision module is used for adjusting the size of the flora and the influence weight of the shape of the individual on the life cycle of the flora according to the using time of the culture solution;
The working method of the system comprises the following steps:
s1, taking the bifidobacteria and dividing the bifidobacteria into a plurality of parts with similar sizes, shooting the bifidobacteria flora with the same initial size by using an image monitoring unit, generating coordinates of all cross points to serve as growth positions of the flora, and counting the use time of the culture solution;
S2, photographing and recording the image information of the intersection according to a certain period, and not recording the image information at other times, and drawing the outline of the flora according to whether the image elements of the flora appear at the coordinate points;
S3, calculating the outline size of the flora by combining the outline scanning image of the flora to obtain the splitting speed of the flora, and analyzing the shape of the flora to obtain the growth stage of the flora;
s4, adjusting the weight of the shape of the bifidobacteria on the life cycle of the flora in combination with the use time of the culture solution, and calculating the life cycle of the flora;
s5, adjusting the concentration of the fluorescent agent according to the life cycle of the flora, so that the observation conditions of each flora are adjusted to be similar, and unified observation and comparison are facilitated;
in S3, the method for calculating the outline size of the flora comprises the following steps:
S3-1, after the flora recognition module recognizes the flora outline, the flora outline drawing module is used for marking and locking pixel points in the shape edge of the flora picture, and smooth connection is carried out on adjacent pixel points, and the image grid takes the flora distance from the image monitoring unit as a reference distance The reference unit area at the time is;
S3-2, calculating the number of image grids of the outline surrounded by the smooth connecting linesThe image size of the flora is the image size, and the distance value is perceived by the distance of the imageQuantifying the flora propagation speed at the current distanceAt the same timeThe greater the speed of the splitting is the faster,Conversion coefficient for image size and propagation speed of flora;
s3, a specific method for analyzing the shape of the flora comprises the following steps:
s3-3, the coordinates of the transverse extreme points of the individual bifidobacteria in the flora in the microscope picture are respectively And connecting the marked points to draw as a bifidobacterium midrace transverse drawing line;
s3-4, the coordinates of the longitudinal extreme points of the individual bifidobacteria in the flora in the microscope picture are respectively And connecting the marked points to draw as a longitudinal drawing line of the bifidobacterium middleyanum;
S3-5, performing shape analysis on all the individual bifidobacteria in the flora, and calculating the average rod-shaped divergence characteristic of the individual bifidobacteria in the flora, namely the growth stage value ,
,
,,,,,,,Are the coordinate values of the mark points,The larger the growth phase, the closer to maturity;
s4, life cycle of flora The method for calculating is that the flora propagation speed is improved due to different ratio of flora at different stages of development and different shape and size after maturationAnd growth stage value of floraNeither can fully accurately reflect the life cycle of the flora,Speed of propagation for floraAnd growth stage value of floraIs the integrated value of (1), i.e,Is a weight coefficient of the propagation speed of the flora,The weight coefficient of the bacterial colony in the growth stage is taken according to practical experience, and in the initial stage of using the bacterial in the culture solution,Maximally, with the continuous use of the culture solution,Will decrease in proportion to the time of use;
S5, setting an injection point for each coordinate point, and taking pictures at intervals according to the life cycle of the flora in the normal growth stage of the flora Preliminary setting of the concentration of the fluorescent agent, i.e. standard life cycle of the flora at different time points, is performedRespectively isThe standard concentration of the corresponding fluorescent agent is respectivelyWhen the life cycle of a certain floraBelow the corresponding point in timeWhen the concentration of the fluorescent agent is reducedOtherwise increase;
In S5, the specific calculation method of the concentration of the fluorescent agent comprises the following steps: Wherein The concentration conversion coefficient of the fluorescent agent.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the above-mentioned embodiments are merely preferred embodiments of the present invention, and the present invention is not limited thereto, but may be modified or substituted for some of the technical features thereof by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1.基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：该方法采用检测系统进行工作，该系统包括菌群监控模块、图像分析模块、浓度决定模块，所述菌群监控模块用于对菌群培养液进行识别以及对菌群培养液上的菌群进行实时监测，所述图像分析模块用于将拍摄的影像进行平直划分处理和菌群轮廓的拟合，所述浓度决定模块用于分析影像数据中的菌群大小、分歧杆菌形状和生命周期对生长状况不同的菌群进行针对性荧光剂浓度调整。1. A method for fluorescent detection of Mycobacterium tuberculosis in tongue swab samples based on image processing, characterized in that: the method adopts a detection system to work, the system includes a flora monitoring module, an image analysis module, and a concentration determination module, the flora monitoring module is used to identify the flora culture solution and monitor the flora on the flora culture solution in real time, the image analysis module is used to flatten the captured image and fit the flora contour, and the concentration determination module is used to analyze the flora size, Mycobacterium shape and life cycle in the image data to make targeted adjustments to the fluorescent agent concentration for flora with different growth conditions. 2.根据权利要求1所述的基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：所述菌群监控模块包括图像监控单元、菌群培养液识别模块、菌群识别模块，所述图像监控单元与菌群培养液识别模块和菌群识别模块均电连接，所述菌群培养液识别模块与菌群识别模块电连接；2. The method for fluorescent detection of tuberculosis mycobacterium from tongue swab samples based on image processing according to claim 1, characterized in that: the flora monitoring module comprises an image monitoring unit, a flora culture fluid recognition module, and a flora recognition module, the image monitoring unit is electrically connected to the flora culture fluid recognition module and the flora recognition module, and the flora culture fluid recognition module is electrically connected to the flora recognition module; 所述图像监控单元用于获取菌群培养液影像数据，所述菌群培养液识别模块用于利用影像识别技术对菌群培养液进行识别，确定菌群所生长的菌群培养液，所述菌群识别模块用于对菌群培养液上的菌群进行识别并确定菌群在菌群培养液中的位置；The image monitoring unit is used to obtain bacterial culture liquid image data, the bacterial culture liquid identification module is used to identify the bacterial culture liquid using image recognition technology to determine the bacterial culture liquid in which the bacterial colony grows, and the bacterial colony identification module is used to identify the bacterial colony on the bacterial culture liquid and determine the position of the bacterial colony in the bacterial culture liquid; 所述图像分析模块包括坐标建立模块、生长区域划分模块、位置标记模块、菌群轮廓描绘模块、间隔拍照模块，所述间隔拍照模块与位置标记模块电连接，所述位置标记模块与菌群轮廓描绘模块电连接，所述坐标建立模块与生长区域划分模块和位置标记模块依次电连接，所述坐标建立模块用于对监测到的菌群培养液影像进行培养区域地图的生成，所述生长区域划分模块用于将培养区域地图按相同的间隔大小进行直线和垂线的交叉，并对交点的地方进行边界的设定，所述位置标记模块用于将出现菌群影像元素的点位坐标进行记录，所述菌群轮廓描绘模块用于将菌群影像的轮廓进行识别，描绘出简化的菌群轮廓，所述间隔拍照模块用于按照一定周期对影像进行拍照记录；The image analysis module includes a coordinate establishment module, a growth area division module, a position marking module, a flora outline drawing module, and an interval photographing module. The interval photographing module is electrically connected to the position marking module, and the position marking module is electrically connected to the flora outline drawing module. The coordinate establishment module is electrically connected to the growth area division module and the position marking module in sequence. The coordinate establishment module is used to generate a culture area map for the monitored flora culture liquid image. The growth area division module is used to intersect the culture area map with straight lines and vertical lines at the same interval size, and set boundaries at the intersection points. The position marking module is used to record the point coordinates of the flora image elements. The flora outline drawing module is used to identify the outline of the flora image and draw a simplified flora outline. The interval photographing module is used to take pictures and record the image at a certain period. 所述浓度决定模块包括时间标记模块、菌群大小分析模块、生长快慢计算模块、个体形状判断模块、浓度计算模块、权重决定模块，所述时间标记模块与生长快慢计算模块电连接，所述生长快慢计算模块与浓度计算模块电连接，所述菌群大小分析模块和个体形状判断模块与菌群轮廓描绘模块电连接；The concentration determination module includes a time marking module, a bacterial colony size analysis module, a growth speed calculation module, an individual shape judgment module, a concentration calculation module, and a weight determination module. The time marking module is electrically connected to the growth speed calculation module, the growth speed calculation module is electrically connected to the concentration calculation module, and the bacterial colony size analysis module and the individual shape judgment module are electrically connected to the bacterial colony outline drawing module. 所述时间标记模块用于计算时间作为其他数据的依据，所述菌群大小分析模块用于根据菌群影像元素的点位坐标和对菌群的轮廓大小进行分析，所述生长快慢计算模块用于根据影像拍照记录的周期对形状和大小的变化对菌群生命周期进行计算，所述个体形状判断模块用于结合影像元素对菌群中分歧杆菌个体的形状进行判断，所述浓度计算模块用于对生长快速的菌群降低浓度，所述权重决定模块用于根据培养液的使用时间对菌群的大小和个体的形状对菌群的生命周期的影响权重进行调整。The time stamp module is used to calculate the time as the basis for other data, the bacterial colony size analysis module is used to analyze the point coordinates of the bacterial colony image elements and the outline size of the bacterial colony, the growth rate calculation module is used to calculate the life cycle of the bacterial colony based on the changes in shape and size during the image recording cycle, the individual shape judgment module is used to judge the shape of individual mycobacteria in the bacterial colony in combination with the image elements, the concentration calculation module is used to reduce the concentration of fast-growing bacterial colonies, and the weight determination module is used to adjust the weight of the influence of the size of the bacterial colony and the shape of the individual on the life cycle of the bacterial colony according to the use time of the culture solution. 3.根据权利要求2所述的基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：该系统的工作方法为：3. The method for fluorescence detection of Mycobacterium tuberculosis from tongue swab samples based on image processing according to claim 2 is characterized in that: the working method of the system is: S1、取用分歧杆菌并分成大小相似的若干份，用图像监控单元拍摄初始大小相同的分歧杆菌菌群，并生成各个交叉点的坐标，作为菌群的生长位置，并对培养液的使用时间进行统计；S1, taking mycobacteria and dividing them into several portions of similar size, using an image monitoring unit to photograph mycobacterial colonies of the same initial size, and generating coordinates of each intersection as the growth position of the colony, and counting the use time of the culture solution; S2、按一定周期对交叉点的影像信息进行拍照记录，其他时候则不记录影像信息，根据坐标点是否出现菌群的影像元素描绘出菌群的轮廓；S2, taking photos and recording the image information of the intersection at a certain period, and not recording the image information at other times, and drawing the outline of the bacterial colony according to whether the image elements of the bacterial colony appear at the coordinate point; S3、结合菌群的轮廓扫描图像对菌群的轮廓大小进行计算，得出菌群的分裂速度，并对菌群的形状进行分析，得出菌群的生长阶段；S3, calculating the size of the bacterial colony's outline in combination with the bacterial colony's outline scanning image to obtain the bacterial colony's division speed, and analyzing the bacterial colony's shape to obtain the bacterial colony's growth stage; S4、结合培养液的使用时间，对分歧杆菌形状对菌群生命周期的权重进行调整，并对菌群的生命周期进行计算；S4. According to the use time of the culture medium, the weight of the shape of the mycobacterium to the life cycle of the bacterial flora is adjusted, and the life cycle of the bacterial flora is calculated; S5、按照菌群的生命周期对荧光剂的浓度进行调整，使得各个菌群的观察条件调整至相近的状态，便于统一观察对比。S5. Adjust the concentration of the fluorescent agent according to the life cycle of the bacterial colony so that the observation conditions of each bacterial colony are adjusted to a similar state, which is convenient for unified observation and comparison. 4.根据权利要求3所述的基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：所述S3中，对菌群的轮廓大小进行计算的方法为：4. The method for fluorescent detection of Mycobacterium tuberculosis from tongue swab samples based on image processing according to claim 3, characterized in that: in said S3, the method for calculating the outline size of the bacterial colony is: S3-1：菌群识别模块识别出菌群轮廓后，利用菌群轮廓描绘模块标记锁定菌群画面的形状边缘中的像素点，并且将相邻的像素点进行平滑连线，图像网格在菌群距图像监控单元为基准距离时的基准单位面积为；S3-1: After the flora recognition module identifies the flora outline, the flora outline drawing module marks and locks the pixel points on the shape edge of the flora image, and smoothly connects the adjacent pixel points. The image grid is at the base distance between the flora and the image monitoring unit. The base unit area is ; S3-2：计算平滑连线围成的轮廓的图像网格数量，即为菌群的图像大小，图像远近感知到距离值，量化当前距离下菌群繁殖速度，同一时间越大分裂速度越快，为菌群的图像大小与繁殖速度的换算系数。S3-2: Calculate the number of image grids that are surrounded by smooth lines , which is the image size of the bacterial colony, the distance value perceived by the image distance, and the quantification of the bacterial colony reproduction speed at the current distance , at the same time The bigger the size, the faster the splitting speed. is the conversion factor between the image size of the bacterial colony and its reproduction rate. 5.根据权利要求4所述的基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：所述S3中，对菌群的形状进行分析的具体方法为：5. The method for fluorescent detection of Mycobacterium tuberculosis from tongue swab samples based on image processing according to claim 4, characterized in that: in said S3, the specific method for analyzing the shape of the bacterial colony is: S3-3、从显微镜画面中菌群中分歧杆菌个体的横向极值点坐标，分别为，并连接标记点描绘为中分歧杆菌横向描绘线；S3-3. From the microscope image, the horizontal extreme point coordinates of the Mycobacterium individuals in the bacterial colony are , and connect the marked points to draw a horizontal line for the middle mycobacterium; S3-4、从显微镜画面中菌群中分歧杆菌个体的纵向极值点坐标，分别为，并连接标记点描绘为中分歧杆菌纵向描绘线；S3-4, from the microscope image, the vertical extreme point coordinates of the mycobacterium individuals in the bacterial colony are , and connect the marked points to draw a longitudinal line of mycobacteria; S3-5、对菌群中所有的分歧杆菌个体均进行形状分析，对菌群中分歧杆菌个体的平均杆状分歧特征进行计算，即生长阶段值，S3-5. Perform shape analysis on all mycobacterium individuals in the bacterial community and calculate the average rod-shaped divergence characteristics of mycobacterium individuals in the bacterial community, i.e., the growth stage value , ， , ，，，，，，，均为标记点的坐标值，越大生长阶段越接近成熟。 , , , , , , , are the coordinate values of the marked points. The larger the growth stage, the closer it is to maturity. 6.根据权利要求5所述的基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：所述S4中，菌群的生命周期进行计算的方法为：由于菌群的发育不同阶段占比和成熟后形状大小均有所区别，菌群繁殖速度和菌群的生长阶段值均不能完全准确地反映菌群的生命周期，为菌群繁殖速度和菌群的生长阶段值的综合值，即，为菌群繁殖速度权重系数，为菌群生长阶段权重系数，根据实际经验取值，在细菌在培养液的使用初期，最大，随着培养液的持续使用，会随使用时间成正比减小。6. The method for fluorescent detection of Mycobacterium tuberculosis from tongue swab samples based on image processing according to claim 5, characterized in that: in said S4, the life cycle of the bacterial flora The calculation method is: Since the proportion of bacterial colonies at different stages of development and their shapes and sizes after maturity are different, the bacterial colony reproduction speed and the growth stage of the flora Neither can fully and accurately reflect the life cycle of the bacterial community , The bacterial colony growth rate and the growth stage of the flora The comprehensive value of , is the weight coefficient of bacterial colony growth rate, is the weight coefficient of the bacterial colony growth stage, which is determined based on actual experience. In the early stage of bacterial use in the culture medium, Maximum, with the continuous use of culture medium, It will decrease in direct proportion to the usage time. 7.根据权利要求6所述的基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：所述S5中，对荧光剂的浓度进行调整的具体方法为：对每个坐标点设立一个注入点，间隔拍照的每个时间点按照菌群的正常生长阶段的菌群的生命周期进行荧光剂浓度的初步设置，即不同时间点的菌群的标准生命周期分别为，分别对应荧光剂的标准浓度为，当某个菌群的生命周期低于此时间点对应的时，降低荧光剂的浓度，反之则增加。7. The method for fluorescent detection of tuberculosis mycobacterium from tongue swab samples based on image processing according to claim 6, characterized in that: in said S5, the specific method for adjusting the concentration of the fluorescent agent is: setting an injection point for each coordinate point, and taking pictures at each time point of the interval according to the life cycle of the bacterial flora in the normal growth stage of the bacterial flora Perform preliminary setting of fluorescent agent concentration, i.e. standard life cycle of bacterial colonies at different time points They are , corresponding to the standard concentration of fluorescent agent , when the life cycle of a bacterial community Below this time point When the concentration of fluorescent agent is reduced , otherwise it increases . 8.根据权利要求7所述的基于图像处理的舌拭子样本荧光检测结核分歧杆菌的方法，其特征在于：所述S5中，荧光剂的浓度具体计算方法为：，其中为荧光剂的浓度换算系数。8. The method for fluorescent detection of Mycobacterium tuberculosis from tongue swab samples based on image processing according to claim 7, characterized in that: in said S5, the specific calculation method of the concentration of the fluorescent agent is: ,in is the concentration conversion factor of the fluorescent agent.
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