Polarized light image information analysis method and system, electronic equipment and computer readable storage medium

Abstract

The invention discloses a method and system for analyzing polarized light image information, electronic equipment and a computer readable storage medium, belongs to the field of optics, mainly aims at birefringence materials, comprehensively considers all factors such as a light source, material absorption / emission, birefringence and an extra optical path difference device provided in an optical path, reproduces the color and texture of a sample, and improves the quality of polarized light. The optical characteristics and molecular arrangement characteristics of the material are disclosed, such as luminosity volume, birefringence, color, molecular director distribution and the like, and quantitative analysis means are provided for analysis and research of polymer crystallization / orientation, liquid crystal texture analysis and biological membrane analysis and research, and the method can be applied to microstructure-efficiency research of the material. And color distortion and the like caused by design defects of liquid crystal display, liquid crystal spatial light modulators, active matrix-organic light emitting diode display and the like can be analyzed. In addition, in the production of a high polymer material with a stretching process, the method can also be used for monitoring and analyzing the properties such as order parameters and birefringence of the oriented high polymer in real time.

Description

Technical Field

[0001] The present invention belongs to the field of optics, and in particular relates to a method, system, electronic device and computer-readable storage medium for analyzing polarized image information. Background Art

[0002] Polarization state is the foundation of the field of display functional materials. For example, the widely used liquid crystal display (LCD), liquid crystal spatial light modulator (LC-LSM) and active matrix-organic light emitting diode display (AM-OLED) all widely use polarization to achieve optical path on-off imaging, eliminate ambient light and phase control to achieve precise spatial light field. In addition, polarization is extremely important for basic research. Soft matter (liquid crystal, polymer, biofilm) with periodic assembly structure has a specific optical texture under polarized light state. Among them, the optical texture of typical polymer spherulites and liquid crystals can reflect the material's optical index, birefringence, chirality, molecular chain segment arrangement and other information, thereby linking macroscopic properties with microscopic structures, which is an important technical means for soft matter research.

[0003] However, there are unresolved issues in the existing analysis of polarized light images. First, there is a lack of quantitative analysis methods for polarized light images to date. In the past, researchers could qualitatively explain the arrangement of molecular directors through polarized light images, but it was difficult to quantitatively explain the texture color caused by the arrangement of directors. The color of the texture is closely related to the birefringence and thickness of the sample, and the color can reflect the above material properties; secondly, polarized light image analysis generally does not consider the absorption and emission of the sample. This leads to difficulties in the study of optical properties based on dye liquid crystal functional materials. For example, absorption / emission causes polarized light texture to be colored, which is not conducive to the study of optical index and birefringence. In terms of application, the guest-host dichroic dye liquid crystal display material has absorption, and its imaging color deviation theory limits the application of this technology [Fan Xiaoqin et al. "Application of blue dichroic dyes in TN liquid crystal display mode." LCD and Display 6 (2009): 5.], while quantitative polarized image analysis technology can simulate color shift, which is beneficial to the imaging improvement of dichroic dye liquid crystal display. Finally, the functional design in the display device leads to the introduction of dispersion and additional optical path difference in the optical path, which affects the imaging quality under polarized conditions. For example, the radiation intensity distribution of the light source used in the display device will significantly affect the imaging quality, and the packaging layer, transparent electrode layer, and glass layer of the polarizer will introduce additional optical path difference, and the cumulative effect may cause the imaging color to deviate. Therefore, the polarized light image analysis method that considers the additional phase delay in the optical path system is helpful to improve the design of the device.

[0004] In summary, the light source, sample absorption / emission, sample birefringence and additional phase delay in the optical path will affect the quality of the polarized image. A quantitative analysis method that can take all of the above factors into consideration is needed to enhance the ability to deeply mine polarized image information and correct imaging quality. Summary of the invention

[0005] The present invention is based on the inventor's discovery and understanding of the following facts and problems: there is a lack of quantitative analysis methods for polarized images; the light source, the absorption / emission of the sample, the birefringence of the sample and the additional phase delay in the optical path are closely related to the image quality, and there is a lack of a quantitative analysis method that comprehensively considers all factors.

[0006] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the present invention proposes a method for analyzing polarized image information and its application in polymer / liquid crystal materials. The present invention simulates the actual light path and the radiation spectrum of the light source; considers the change of the spectrum structure caused by absorption / emission; strictly applies the physical model of birefringence of the sample and the additional phase delay; and converts the radiation intensity of the emitted light into the sRGB color gamut through the color matching equation (color matching function) of CIE1931 to realize the polarized image.

[0007] The present invention solves the above problems through the following solutions: The first object of the present invention is to provide a method for analyzing polarized image information, comprising the following steps: Calculate the intensity-wavelength spectrum of the incident light from the light source into the target object according to the type of light source and the absorption / stimulated emission of the light source by the target object; Constructing the microscopic texture of the target object and the optical path difference, and simulating and calculating the intensity-wavelength spectrum of the polarized light formed after the incident light passes through the microscopic texture of the target object according to the additional phase delay of the microscopic texture of the target object and the intensity-wavelength spectrum of the incident light; The intensity-wavelength spectrum of the polarized light is projected to the direction of the analyzer and converted into color to obtain a simulated polarization image.

[0008] As a further improvement of the present invention, the microstructure of the target object is a two-dimensional array formed by the arrangement of molecules of the target object, and the two-dimensional array is described by the Laplace differential equation, specifically: ; In the formula, ( x , y ) is the position vector of a single target molecule in the two-dimensional array, u is the pointing vector of a single target molecule in the two-dimensional array.

[0009] As a further improvement of the present invention, specifically, the optical path difference is σ ,

[0010] In the formula, t is the thickness of the target microstructure, Δ n It is the birefringence parameter of the target object's microstructure.

[0011] As a further improvement of the present invention, the simulation calculation of the intensity-wavelength spectrum of polarized light formed after the incident light passes through the microtexture of the target object is calculated based on the physical model of birefringence, and the incident light is decomposed into ordinary light and extraordinary light with mutually perpendicular polarization directions. The specific calculation formula is:

[0012] In the formula, f e is the wave function of ordinary light, f o is the wave function of extraordinary light, E is the amplitude, α is the angle between the molecular optical axis in the target and the polarizer, k is the wave number, z is the distance along the thickness direction of the target microtexture, G is the initial phase of the incident light, σ is the optical path difference; When the microstructure of the target has additional phase retardation, the intensity-wavelength spectrum of the polarized light is further corrected using the physical model of birefringence.

[0013] As a further improvement of the present invention, the intensity-wavelength spectrum of the polarized light is projected to the analyzer direction and converted into color, specifically, converted into the sRGB color gamut through the color matching equation of CIE1931, and the calculation method is:

[0014] Where: K m =683 lumens / watt, which is the luminous efficacy, is the emissivity, , , According to CIE1931 standard, is the wavelength interval, and through the CIE1931 color space X , Y , Z Converts the value to an RGB color.

[0015] As a further improvement of the present invention, the intensity-wavelength spectrum of the incident light from the light source entering the target object is calculated according to the light source type, specifically by performing simulation calculation according to Planck's blackbody radiation law, and the specific calculation method is:

[0016] In the formula, T The color temperature of the light source, λ is the wavelength, c is the speed of light, h is Planck's constant, k B is the Boltzmann constant. As a further improvement of the present invention, when the target object can absorb the emitted light of the light source, the intensity-wavelength spectrum of the incident light is corrected, and the specific calculation method is:

[0017] Where A is absorbance, I 0 is the incident light intensity, I is the outgoing light intensity; When the target object can emit light under the stimulation of a light source, the intensity-wavelength spectrum of the incident light is corrected by combining the emission spectra and quantum yields of different excitation wavelengths.

[0018] A second object of the present invention is to provide a polarization image analysis system, comprising: The incident light simulation calculation module calculates the intensity-wavelength spectrum of the incident light from the light source to the target object according to the type of light source and the absorption / stimulated emission of the light source by the target object; A polarized light simulation calculation module is used to construct the microscopic texture and optical path difference of the target object, and simulate and calculate the intensity-wavelength spectrum of the polarized light formed after the incident light passes through the microscopic texture of the target object according to the additional phase delay of the microscopic texture of the target object and the intensity-wavelength spectrum of the incident light; The polarization image simulation calculation module projects the intensity-wavelength spectrum of the polarized light to the analyzer direction and converts it into color to obtain a simulated polarization image.

[0019] The third object of the present invention is to provide an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned polarization image analysis method when executing the computer program.

[0020] A fourth object of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned polarization image analysis method are implemented.

[0021] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a method for analyzing polarized image information, combining the complex optical phenomena caused by light source, material absorption / emission, material birefringence and additional phase delay to quantitatively analyze the properties of birefringent materials. The light source includes a monochromatic light source and a composite light source (natural light source and artificial light source). Its intensity-wavelength distribution spectrum can be consulted or simulated according to Planck's law. The absorption and emission of the material need to be measured by ultraviolet-visible light absorption spectrum and fluorescence spectrum data. By measuring the birefringence parameter Δ n And sample thickness t Assign values ​​to simulate the outgoing light obtained by the incident light of the light source after the above physical process, and convert it into sRGB color through the color matching equation.

[0022] The method provided by the present invention comprehensively considers the light source, the absorption / emission of the sample, the birefringence of the sample and the additional phase delay in the optical path, and provides an accurate simulation method for complex materials and functional design. This method takes into account the color deviation caused by the additional phase retarder and complex absorption in the optical path of the display device, and the simulated polarization image is closer to the polarization color reflected by the intrinsic characteristics of the target object, which can improve the imaging quality in the optical display, avoid the errors and potential errors of the traditional method, and thus provide a more accurate polarization image to extract material structure information, which can greatly improve the research accuracy of the optical properties of polymer / liquid crystal materials.

[0023] The method for analyzing polarized image information proposed in the present invention is based on the reproduction of the real light path, and the physical model therein is accurately mathematically analyzed and the spectral color conversion is performed to realize the simulation of the polarized image, which provides a quantitative analysis means for the polarized image. The method provided by the present invention can adjust the intrinsic property parameters of each target object on the basis of obtaining the real polarized image, so that the similarity of the simulated polarization result and the real polarized image can be matched, thereby determining the various intrinsic optical property parameters of the target object. The method can be applied to obtain the intrinsic property parameters of the material, which is beneficial to the application of the material.

[0024] The present invention proposes a polarization image analysis system. Since the incident light simulation calculation module, the polarized light simulation calculation module and the polarization image simulation calculation module are independent of each other, the above modules can be combined and their parameters can be set separately, which greatly broadens the application scenarios and lowers the usage threshold. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A step diagram of the polarization image analysis method proposed by the present invention; Figure 2 The radiation spectrum (color temperature) of halogen lamp simulated according to Planck's law T =6000K); Figure 3 Nematic phase ( s =-1) molecular director arrangement (short blue lines), the four gray areas in the figure are the schlieren texture of the nematic phase; Figure 4 Michel-Lévy interference color sequence table (www.zeiss.com / microscopy) and calculation program to simulate the color of polarized light texture under the corresponding optical path difference conditions; Figure 5 a), c) Molecular director arrangement in photonegative spherulites and polarization image color simulation; b), d) Molecular director arrangement in photopositive spherulites and polarization image color simulation. The black crosses are polarizers and analyzers, and the directions of full-wave retarders are shown in c) and d).

[0026] Figure 6 Side chain multi-chain silicon-containing liquid crystal polymer SiA3 forms a) spherulites; b) image after inserting a full-wave retarder; c) simulated image. The elliptical cross in Figure c) is the optical index body; Figure 7 a) Spherulite of polylactic acid PLLA / PDLA (1 / 1) stereocomposite crystal; b) image under full-wave retardation plate; c) simulated image; Figure 8 a), c) Images of polyvinyl alcohol (PVA) film with a stretching ratio of 150% under a full-wave retarder. The sample orientation direction is shown in the figure; b), d) are the molecular director simulation and color simulation images of the oriented samples in a), c). Fig. 9 Squaryl cyanine liquid crystal film SQ n , a) Absorption spectrum; b) Emission spectrum, excitation 514nm Fig.10 SQ n Sample a) Polarized texture; b) Image with full-wave retarder; c) Polarized texture simulated under a certain optical path difference (-600 nm) and d) Polarized texture with full-wave retarder. The elliptical cross in b) is the optical index body, and the direction of the retarder is shown in d). DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] The present invention is further described in detail below in conjunction with the accompanying drawings: The present invention proposes a method for analyzing polarized image information. The specific steps are as follows: Figure 1 , quantitative analysis of complex optical phenomena caused by light source, material absorption / emission, material birefringence and additional phase delay: Step 1. This analysis method can use a variety of light sources as the system luminous light source, including monochromatic light sources, composite light sources (natural light sources and artificial light sources), and their intensity-wavelength distribution spectrum can be consulted or simulated according to Planck's law; Step 2: The absorption and emission of the target material need to be measured by UV-visible absorption spectrum and fluorescence spectrum data; the birefringence parameter Δ n And thickness t The assignment is performed, and the polarized outgoing light of the incident light passing through the microstructure of the target object is simulated and calculated through the birefringence model. Step 3: The outgoing light obtained by the incident light of the light source through the above physical process is converted into sRGB color through the color matching equation.

[0030] In step 1: calculate the intensity-wavelength spectrum of the incident light, including: 1) When characterizing the intrinsic intensity-wavelength spectrum of the light source, Planck's blackbody radiation law is used for simulation calculation. The specific calculation method is:

[0031] In the formula, T The color temperature of the light source, λ is the wavelength, c is the speed of light, h is Planck's constant, k B is the Boltzmann constant.

[0032] 2) When the target object can absorb the emitted light of the light source, the intensity-wavelength spectrum of the incident light is corrected. The specific calculation method is:

[0033] Where A is absorbance, I 0 is the incident light intensity, I is the outgoing light intensity; 3) When the target object can emit light under the stimulation of a light source, the intensity-wavelength spectrum of the incident light is corrected by combining the emission spectra and quantum yields of different excitation wavelengths.

[0034] In step 2: the intensity-wavelength spectrum of polarized light formed after the incident light passes through the microstructure of the target object is simulated and calculated, including: (1) Constructing the microstructure of the target object The microstructure of the target object is a two-dimensional array formed by the arrangement of the target object molecules. The two-dimensional array is described by the Laplace differential equation, specifically: ; In the formula, ( x , y ) is the position vector of a single target molecule in the two-dimensional array, u is the pointing vector of a single target molecule in the two-dimensional array.

[0035] (2) Constructing the optical path difference of the target object’s microstructure The optical path difference is σ ,

[0036] In the formula, t is the thickness of the target microstructure, Δ n is the birefringence parameter of the microstructure of the target object. Δn as well as t Assignment, where Δn The value range can refer to the data obtained from the characterization of the target object by ellipsometer or polarizing microscope, the microstructure thickness of the target material t The assigned thickness can refer to the data measured by other methods such as optical testing.

[0037] (3) According to the physical model of birefringence, the incident light is decomposed into ordinary light (o light) and extraordinary light (e light) with polarization directions perpendicular to each other: The specific calculation formula is:

[0038] In the formula, f eis the wave function of ordinary light, f o is the wave function of extraordinary light, E is the amplitude, α is the angle between the molecular optical axis in the target and the polarizer, k is the wave number, z is the distance along the thickness direction of the target microtexture, G is the initial phase of the incident light, σ is the optical path difference; When the microstructure of the target object has additional phase retardation, the above-mentioned physical model of birefringence can also be used to further correct the intensity-wavelength spectrum of the polarized light.

[0039] In step 3: the intensity-wavelength spectrum of the polarized light is projected to the analyzer direction and converted into color: to convert into the sRGB color gamut through the color matching equation of CIE1931, the calculation method is:

[0040] In the formula, K m =683 lumens / watt, which is the luminous efficacy, is the emissivity, , , According to CIE1931 standard, is the wavelength interval, and through the CIE1931 color space X , Y , Z Converts the value to an RGB color.

[0041] The following is further described in conjunction with specific embodiments.

[0042] Example 1 The reliability of the calculation is verified and evaluated by the Michel-Lévy interference color sequence table. The Michel-Lévy interference color sequence table can display the color of the birefringent material according to the birefringence and thickness of the material. Through this table, information on one of the quantities of birefringence or material thickness can be obtained by looking up the table to obtain the other quantity. Therefore, the interference color sequence table can be a reliable guarantee for the effectiveness of the calculation method.

[0043] See also Figure 1 , this embodiment is described according to the steps shown in the flow chart.

[0044] (1) Step 1: Obtain the radiation intensity of the light source: The light source used in the calculation is a halogen lamp, which is a commonly used light source for polarizing microscopes. Its radiation spectrum can be simulated by Planck's blackbody radiation law, and its only parameter is the color temperature. T（ Here T=6000K). The radiation spectrum (intensity-wavelength distribution) of the light source is as follows Figure 2 As shown, it serves as the initial spectral data for calculation in the following steps.

[0045] (2) Step 2 obtains the absorption / emission of the sample: the intensity-wavelength distribution of the initial incident light in step 1 changes after absorption / emission, and is used as the incident light radiation intensity distribution in step 3. Due to the Michel-Lévy interference color sequence diagram, see Figure 4 , the absorption / emission of the sample is not considered, so this step can be ignored. Similarly, for materials without absorption / emission, this step can be skipped.

[0046] (3) Step 3: Calculate the birefringence of the sample: The outgoing light after the incident light has undergone birefringence of the sample is used as the incident light for step 4. The simulation of the sample microstructure mainly includes the molecular pointing vector arrangement simulation and the optical path difference.

[0047] The molecular pointing vector arrangement simulation includes the position of the molecule and the director parameters. In this embodiment, the nematic phase molecular arrangement (disclination strength s =-1), the arrangement can be described by the Laplace differential equation, the arrangement diagram is shown in Figure 3 shown.

[0048] The optical path difference depends on the thickness of the sample t and birefringence parameter Δ n The two parameters can be measured or assigned by experiment. Substitute the outgoing light after step 2 into the birefringence physical model to calculate the outgoing light, which can be used as the incident light in step 4.

[0049] (4) Step 4 calculates the additional phase delay: the output light of step 3 is used as the incident light, and the same as step 3, with 3 parameters, including the optical path difference σ 、Molecular position( x , y ), director parameter u Since the Michel-Lévy interference color sequence diagram does not take into account the additional phase delay, step 4 can be skipped in this embodiment.

[0050] (5) Finally, the radiation spectrum of the outgoing light from step 4 projected in the direction of the analyzer is converted into the color of the final image through the color matching equation.

[0051] This embodiment simulates the polarization color of the optical path difference of 200~1800nm, which is consistent with the color at the same optical path difference in the interference color sequence table, such as Figure 4 shown.

[0052] The above fitting demonstrates the accuracy of the calculation procedure. It is worth noting that the difference in color brightness of the fitting comes from the fact that the light source fitting only considers the relative intensity but not the absolute intensity.

[0053] Example 2 Optical texture analysis of polymer spherulites under polarized light conditions. In classical theory, after a full-wave retarder (550nm) is inserted into the polarized light state of polymer spherulites, the first to third quadrants and the second to fourth quadrants have different colors and can be divided into photonegative spherulites (the first to third quadrants are blue / the second to fourth quadrants are yellow), in which the molecular segments are distributed along the radial direction, such as Figure 5 As shown in a); photopositive spherulite (quadrants 1-3 are yellow / quadrants 2-4 are blue) in which the molecular chain segments are distributed along the circumference, such as Figure 5 As shown in (b).

[0054] (1) Use this analytical method to reproduce classical theoretical phenomena of polymers The distribution of chain segments is simulated as Figure 5 As shown in a) and b), the light source is consistent with that in Example 1.

[0055] The birefringence of polymer materials is generally small, among which: Birefringence parameter Δ of amorphous polymers n Between 0 and 0.01, such as the birefringence parameter Δ of ordinary polystyrene (PS) n 0.002~0.005; Crystalline polymer birefringence parameter Δ n Between 0.1 and 0.3, such as polyethylene (PE) and polyamide (PA).

[0056] Polymer optical materials generally exist in the form of thin films, and their thickness t At the micron / millimeter level, the overall optical path difference σ Smaller.

[0057] The optical path difference calculated by this analysis method is σ The classic phenomena in the textbooks can be successfully reproduced between 60 and 200 nm, such as Figure 5 c) and d) show the optical path difference of 120nm. σ Simulated photopositive / photonegative spherulite polarization images.

[0058] (2) Analysis of the photonegative spherulites formed by the side chain multi-chain silicon-containing liquid crystal polymer SiA3 The birefringence parameter Δ of the liquid crystal material in the liquid crystal cell (5 μm) n The optical path difference is measured to be between 0.02 and 0.03. σ At 100~150nm. Through the molecular arrangement model and optical path difference of photonegative spherulites σ , this calculation method uses the optical path difference σ = 140nm successfully reproduces all the colors in polarized textures, such as Figure 6 shown.

[0059] (3) Take the stereocomposite crystal formed by left-handed / right-handed polylactic acid PLLA / PDLA (1 / 1) as an example (molecular weight 80,000 Da).

[0060] The polymer thickness is 26~28 microns, and the birefringence parameter Δ n is 0.004~0.005, and its optical path difference σ 110~140nm( Macromolecules 2023, 56, 8754−8766). The molecular arrangement model and optical path difference of photopositive spherulites. This calculation method successfully reproduces all the colors in the polarized texture using an optical path difference of 130 nm, such as Figure 7 shown.

[0061] Example 3 Image analysis of polyvinyl alcohol film (PVA, molecular weight 150000Da) stretched to 150%. Figure 8 In the direction shown in a), the sample appears yellow under full-wave retarder conditions; Figure 8 When placed as shown in c), the sample appears green. This embodiment adopts the light source conditions similar to those of the embodiment 1.

[0062] PVA has no absorption in the visible region, and the image analysis only requires the use of a birefringence module with a sample and an additional full-wave retarder. In addition, the molecular chain segments of the polymer are well oriented after stretching, and their order parameters are high. The molecular director simulation can be described using vectors, such as Figure 8 As shown in b) and d).

[0063] Through optical testing, the film thickness t The diameter of the polarization texture is 7~13 microns, the birefringence is 0.015~0.025, and the optical path difference is 180~200nm. This calculation method successfully reproduces all the colors in the polarization texture, such as Figure 8 b) and d) show simulated images based on an optical path difference of 180 nm. It should be noted that there are color deviations in the figures, which are mainly caused by stretching defects, inaccurate sample rotation and light source brightness.

[0064] This example shows that the analysis method can be extended to industrial applications, such as polymer films that require stretching processes, whose birefringence is closely related to the stretching ratio. By optically detecting the thickness of the polymer material during the stretching process, the real-time birefringence of the material can be obtained through the calculation program proposed by the present invention, thereby accurately controlling the order parameters in the polymer stretching process.

[0065] Example 4 Texture analysis of squarylium cyanine liquid crystal phase with strong absorption in the visible light region.

[0066] Squaryl cyanine SQ n It has strong absorption in the yellow / red light region, and the liquid crystal optical texture it forms has strong color characteristics, which makes it extremely difficult to judge its optical index body. Here, the present invention successfully reproduces the liquid crystal phase texture and its polarized light color with the calculation program, and successfully proves the photonegative characteristics of the liquid crystal and obtains the distribution characteristics of the optical index body.

[0067] (1) The observation of the texture of the squaryl cyanine liquid crystal was carried out on an Olympus BX51 polarizing microscope, the light source of which can be used with a color temperature T =6000K fitting light source spectrum.

[0068] (2) The absorption of the sample in the visible light region (380-780 nm) is obtained by UV-visible absorption spectroscopy, and the intensity of the transmitted light is calculated ( I 0 is the incident light, I The fluorescence spectrum shows that its emission is very weak and distributed in 800~1000nm, which has little effect on the imaging in the visible light region, so it is ignored. Fig. 9 shown.

[0069] (3) The growth mode of columnar liquid crystal is similar to that of spherulites, so its molecular arrangement model is similar to that of polymer spherulites, such as Figure 5 shown.

[0070] (4) The texture of the squaryl cyanine liquid crystal was observed in a liquid crystal box. The thickness of the liquid crystal box cavity was fixed at 5 μm. Through the polarizing microscope birefringence test accessory (quartz wedge), the birefringence was obtained to be 0.116~0.124, and the absolute value of the optical path difference was 580~620 nm.

[0071] (5) The texture of the squarylium columnar liquid crystal phase is as follows Fig.10 As shown in a), under the condition of full-wave retarder (phase difference is 550nm), Fig.10 By using the molecular director arrangement of photonegative spherulites and an optical path difference of ~600nm, the following can be obtained: Fig.10 The simulated polarization image shown in (c) and the simulated polarization image under the full-wave retarder condition are shown in Fig.10 The experimental results above correspond very well to the simulation results obtained by the analytical method. Based on the results, it can be judged that the liquid crystal material has photonegative properties, and its optical index volume distribution is as follows: Fig.10 As shown in (b).

[0072] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A method for analyzing polarized images, characterized in that: The following steps are involved: Calculate the intensity-wavelength spectrum of the incident light from the light source into the target object according to the type of light source and the absorption / stimulated emission of the light source by the target object; Constructing the microscopic texture of the target object and the optical path difference, and simulating and calculating the intensity-wavelength spectrum of the polarized light formed after the incident light passes through the microscopic texture of the target object according to the additional phase delay of the microscopic texture of the target object and the intensity-wavelength spectrum of the incident light; The intensity-wavelength spectrum of the polarized light is projected to the direction of the analyzer and converted into color to obtain a simulated polarization image.

2. The method for analyzing polarized images according to claim 1, characterized in that: The microstructure of the target object is a two-dimensional array formed by the arrangement of molecules of the target object. The two-dimensional array is described by the Laplace differential equation, specifically: ； In the formula, ( x , y ) is the position vector of a single target molecule in the two-dimensional array, u is the pointing vector of a single target molecule in the two-dimensional array.

3. The method for analyzing polarized images according to claim 1, characterized in that: The optical path difference is σ , In the formula, t is the thickness of the target microstructure, Δ n It is the birefringence parameter of the microstructure of the target object.

4. The method for analyzing polarized images according to claim 1, characterized in that: The simulation calculates the intensity-wavelength spectrum of polarized light formed after the incident light passes through the microstructure of the target object. The incident light is decomposed into ordinary light and extraordinary light with mutually perpendicular polarization directions according to the physical model of birefringence: The specific calculation formula is: In the formula, f e is the wave function of ordinary light, f o is the wave function of extraordinary light, E is the amplitude, α is the angle between the molecular optical axis in the target and the polarizer, k is the wave number, z is the distance along the thickness direction of the target microtexture, G is the initial phase of the incident light, σ is the optical path difference; When the microstructure of the target has additional phase retardation, the intensity-wavelength spectrum of the polarized light is further corrected using the physical model of birefringence.

5. The method for analyzing polarized images according to claim 1, characterized in that: The intensity-wavelength spectrum of the polarized light is projected to the analyzer direction and converted into color, specifically, converted into the sRGB color gamut through the color matching equation of CIE1931, and the calculation method is: In the formula, K m =683 lumens / watt, which is the luminous efficacy, is the emissivity, , , According to CIE1931 standard, is the wavelength interval, and through the CIE1931 color space X , Y , Z Converts the value to an RGB color.

6. The method for analyzing polarized images according to any one of claims 1 to 5, characterized in that: The intensity-wavelength spectrum of the incident light from the light source entering the target object is calculated according to the light source type, specifically by simulating the calculation according to Planck's blackbody radiation law. The specific calculation method is: In the formula, T The color temperature of the light source, λ is the wavelength, c is the speed of light, h is Planck's constant, k B is the Boltzmann constant.

7. The method for analyzing polarized images according to claim 6, characterized in that: When the target object can absorb the emitted light of the light source, the intensity-wavelength spectrum of the incident light is corrected, and the specific calculation method is: Where A is absorbance, I 0 is the incident light intensity, I is the outgoing light intensity; When the target object can emit light under the stimulation of a light source, the intensity-wavelength spectrum of the incident light is corrected by combining the emission spectra and quantum yields of different excitation wavelengths.

8. A polarization image analysis system, characterized in that: include: The incident light simulation calculation module calculates the intensity-wavelength spectrum of the incident light from the light source to the target object according to the type of light source and the absorption / stimulated emission of the light source by the target object; A polarized light simulation calculation module is used to construct the microscopic texture and optical path difference of the target object, and simulate and calculate the intensity-wavelength spectrum of the polarized light formed after the incident light passes through the microscopic texture of the target object according to the additional phase delay of the microscopic texture of the target object and the intensity-wavelength spectrum of the incident light; The polarization image simulation calculation module projects the intensity-wavelength spectrum of the polarized light to the analyzer direction and converts it into color to obtain a simulated polarization image.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the polarization image analysis method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the polarization image analysis method according to any one of claims 1 to 7.

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