54 results about "Stokes parameters" patented technology

The invention discloses a broadband full-Stokes polarization imaging device based on non-orthogonal four-channel polarization beam splitting, which comprises a dielectric substrate, a non-orthogonal polarization beam splitting metasurface and a focal plane detection array, and is characterized in that the non-orthogonal polarization beam splitting metasurface is composed of a plurality of sub-wavelength unit structures; the sub-wavelength unit structure is a single-layer anisotropic medium nano-column array and is configured to perform intrinsic-loss-free non-orthogonal four-channel beam splitting on incident light and form four spatially separated focuses on the same focal plane, and polarization states corresponding to the four channels form a regular tetrahedron measurement base on a Poincare sphere; therefore, full Stokes parameter measurement is completed by four pixels; the sub-wavelength unit structure forms a super-pixel unit, and the super-pixel unit is aligned and integrated with a focal plane detection array in a two-dimensional array form to form a compact polarization camera facing focal plane segmentation. The device is simple in structure, easy to integrate with the CMOS front end, small in device size, low in power consumption and high in mass production feasibility.

The invention relates to the technical field of optical element surface shape dynamic measurement scheme design, in particular to an element surface shape dynamic measurement system based on a metasurface. According to the scheme, polarized light emitted by a laser is split into reference light and test light, the test light passes through a quarter-wave plate twice to realize polarization orthogonalization, and the test light is combined with the reference light to form elliptically polarized light; synchronously capturing component intensities of left-handed / right-handed circular polarized light and orthogonal line polarized light by using a detector, and resolving a phase difference delta in real time by combining a Stokes parameter; environmental interference is eliminated based on a common-path design, a polarization beam-splitting element is omitted, and the architecture is simplified; accurate dynamic measurement of the surface shape of the measured piece is realized by deducting the inherent surface shape error of the system. The system provided by the invention has the advantages of strong anti-interference performance, high measurement efficiency, remarkable cost reduction and the like, and is suitable for precise optical manufacturing and on-line detection scenes.

The invention relates to the technical field of optoelectronic devices, and discloses a monolithic integrated full Stokes polarization detector and a preparation method thereof. The full Stokes polarization detector comprises a plurality of PIN photodiodes, a transparent conductive layer formed on the PIN photodiodes, a titanium oxide metasurface structure formed on the transparent conductive layer, a top electrode formed on the transparent conductive layer and a bottom electrode formed at the bottom of the PIN photodiodes. The titanium oxide metasurface structure comprises six metasurface pixels, and the six metasurface pixels are in one-to-one correspondence with the PIN photodiodes. According to the invention, the characteristic of high refractive index of titanium oxide from visible light to near-infrared band is utilized, and six titanium oxide metasurface units are designed and are integrated with the silicon-based PIN photodiode monolithic, so that full Stokes parameter detection of incident light in any polarization state is realized.

The invention discloses a self-reference three-phase polarization imaging system and method based on an integrated photon neural network, and the method comprises the steps: setting a fixed phase difference in a silicon-based photon chip to achieve three-phase projection and single-port reading, outputting a three-phase interference signal at the same time, obtaining all phase and polarization information in one-time imaging to achieve full-polarization measurement, and carrying out the single-port reading of the silicon-based photon chip; according to the invention, the effective resolution ratio is consistent with that of an original detection array, power and temperature drift is eliminated, single-frame acquisition has no time sequence error and motion artifact, a stable and compact single-port self-reference reading mode is realized through a three-phase interference measurement architecture constructed on a chip in combination with channel normalization and rotation correction, and complete Stokes parameters and polarization information can be measured. According to the system provided by the invention, the MZI is adopted, so that the phase bias can be flexibly adjusted, and different bandwidth requirements can be met by adjusting an interference path. The silicon-based photon platform has a broadband response characteristic and can cover a visible wave band, so that the device can keep stable interference performance in a communication wave band.

The invention discloses a multi-angle polarization imaging method and system for micro scratches on the surface of an aluminum plate, and the method can convert the physical difference which cannot be distinguished by naked eyes and a common camera into a significant gray difference on an image through calculating a Stokes parameter and constructing a polarization feature image, thereby forming a high-contrast detection image, and improving the detection precision. The detection sensitivity and the signal-to-noise ratio are obviously improved; the method is extremely sensitive to polarization state disturbance caused by changes of the surface microstructure of the aluminum plate, interference of a uniform background can be effectively restrained, and therefore the probability of missing detection and false detection is remarkably reduced.

The application discloses a Stokes parameter encoder, which comprises a fiber optical circulator and an optical path round trip path; a polarization maintaining fiber Faraday rotator is arranged on the optical path round trip path to rotate the polarization of light by 45 degrees; the fiber optical circulator is a polarization maintaining fiber optical circulator; the fiber optical polarization beam splitter is a polarization maintaining fiber optical polarization beam splitter; the delay fiber is a polarization maintaining delay fiber; and the fiber optical phase modulator is a polarization maintaining fiber optical phase modulator. The application further discloses a parameter encoding method of the encoder. The above technical scheme can perfectly offset the rotation angle deviation problem caused by the device, can guarantee the stability of the rotation angle regardless of the angle deviation of the device, is easy to realize the driving circuit, is easy to integrate and small in size due to the pure fiber structure, and can realize the continuous variable quantum key distribution of the complete GG02 protocol based on the Stokes encoder.

This invention discloses a method and system for intelligent weather image acquisition and recognition, specifically relating to the field of weather image recognition technology. It involves continuous polarization imaging of the sky region while simultaneously acquiring spatial attitude and temporal information; preprocessing the polarization image data and extracting Stokes parameters to obtain standardized sky polarization light field data; then using a theoretical Rayleigh scattering model to analyze the polarization degree distribution pattern at different wavelengths to obtain theoretical sky polarization pattern characteristics; based on the polarization light field data, identifying the spatial distribution of actual clouds, aerosols, and haze in the sky to form actual atmospheric composition distribution characteristics; extracting anomalous polarization regions through difference analysis between theoretical and actual characteristics, and accurately classifying halo polarization anomalies and scattering polarization anomalies based on geometric and spectral characteristics; generating ultralocal weather change early warning signals based on the classification results; thus improving the accuracy and real-time performance of early warnings for ultralocal anomalous weather phenomena.

The application discloses a kind of full polarization spectral imaging device and detection method, contain sequentially arranged polarization modulator, imaging spectrometer, data acquisition processing display system to incident light;Polarization modulator is single fixed retarder and single fixed linear polarizer sequentially arranged along incident light, can carry out spectral modulation to full stokes parameter, it has the superiority of simple, ultra-compact, miniaturization, anti-system error in structure.By constructing complete imaging physical model or constructing imaging physical model based on compressed sensing, then using untrained artificial neural network realizes the full stokes parameter image reconstruction under each narrow waveband, and the deep neural network of "black box operation" is endowed with physical meaning.The reconstructed polarization spectral resolution can be consistent with the resolution of the imaging spectrometer used;And it has the characteristics of strong anti-noise ability, so as to ensure high-quality reconstruction.

The invention discloses a polarization three-dimensional imaging method and system based on a Mueller matrix, and the method comprises the steps: building a polarization three-dimensional imaging model based on the Mueller matrix, and collecting a plurality of groups of polarization images through a dual-spin wave plate method; resolving a 4 * 4 Mueller matrix based on the multiple groups of polarization images; calculating a full stokes vector of the emergent light based on a 4 * 4 Mueller matrix; calculating the linear polarization degree according to the full stokes vector of the emergent light; a zenith angle is obtained in an iterative inversion mode based on the linear polarization degree; calculating an azimuth angle based on the Stokes parameter of the Stokes vector of the emergent light according to a polarization three-dimensional imaging model based on a Mueller matrix; constructing a target surface normal direction based on the zenith angle and the azimuth angle; and calculating a gradient field component according to the geometrical relationship between the target surface normal and the gradient, substituting the gradient field component into a frequency domain integral reconstruction formula, completing target surface height field reconstruction, and further obtaining a three-dimensional reconstruction image.

This application relates to the field of optical polarization measurement technology, specifically to a wide-spectrum, high-bandwidth static spectral modulation Stokes polarization measurement device, comprising a polarization modulation module, a spectral sampling module, and a high extinction ratio polarizer. The polarization modulation module includes a phase retarder and a linear polarizer; the spectral sampling module has sub-nanometer spectral resolution; the high extinction ratio polarizer includes a halogen tungsten lamp and a Glan Taylor prism for generating high-purity linearly polarized light; the obtained demodulation factor and the modulation spectrum acquired by the spectral sampling module are used to invert the Stokes parameters using zero-heterodyne coherent demodulation technology. This application employs a phase retarder with high birefringence, which, for the same thickness, produces an optical path difference tens of times greater than that of quartz, increasing the Stokes polarization measurement bandwidth by a factor of the response and improving the measurement accuracy of polarization spectral parameters. Simultaneously, the zero-heterodyne coherent demodulation method is used to eliminate the dispersion interference of the phase retarder through calibration.

The application provides a bank in and out security management method and system based on video monitoring behavior analysis, relates to the technical field of video analysis, and the method comprises the steps of: deploying a polarization imaging device in a bank security monitoring area, collecting original polarization images in real time; calculating Stokes parameters, deriving linear polarization degree and polarization angle, and constructing a polarization feature map; inputting the original polarization images and the polarization feature map into a pre-trained polarization decoupling network, decomposing the images into reflection layer images and transmission layer images; extracting the transmission layer images, performing target detection, human skeleton key point extraction and time sequence behavior recognition, and generating behavior analysis results; and outputting a security alarm signal. The application solves the technical problem that the prior art mainly relies on traditional cameras and image processing algorithms for personnel identification and behavior analysis, ignores the processing of reflected light on images, and causes some areas or personnel to be missed, thereby affecting the security protection level of the bank.

The application discloses a kind of full solid, snapshot type full stokes parameter measurement and imaging enhanced sensor device, including microlens array module, liquid crystal phase modulation module, polarization grating array module and image sensor module.Microlens array module is composed of many small lens two-dimensional arrangement, focusing on the photodiode of each pixel on incident light.Liquid crystal phase modulation module is composed of two high-speed liquid crystal variable phase retarder, realize the polarization state of incident light active phase modulation.Polarization grating array module only needs single shooting to obtain four polarization directions of polarized light information.Image sensor module calculates the full stokes parameter polarization characteristics of incident light.The application only needs single exposure to realize the full polarization information measurement of incident light, and after completing measurement, it turns into polarization enhancement mode, greatly improves the imaging efficiency of sensor in weak contrast target detection and other dark light scene.

The application discloses a combined optical detection method for distinguishing water mist and smoke based on circularly polarized light transmission characteristics, comprising the following steps: S1, generating circularly polarized light and collimating and shaping the same into a light beam to be incident into a sample chamber provided with a medium to be measured; S2, receiving transmitted light transmitted through the sample chamber and measuring Stokes parameters S0, S1, S2 and S3 in real time; S3, calculating a degree of polarization and an ellipticity of the transmitted light based on the Stokes parameters; S4, performing time series analysis on the degree of polarization and the ellipticity, and extracting mean value and standard deviation characteristics thereof respectively; S5, calculating a combined discriminant for distinguishing water mist and smoke based on the mean value and the standard deviation characteristics; and S6, determining whether the current medium is water mist or smoke according to a comparison result of the combined discriminant and a preset threshold value. The application can realize high-precision distinction between water mist and smoke by combined analysis of time variation characteristics of the degree of polarization and the ellipticity based on circularly polarized light transmission characteristics.

The invention discloses an image defogging method combining dark channel statistics and polarization degree constraint. The method is suitable for image enhancement and visibility improvement in a complex smog scene. According to the method, images of five wave bands in different polarization states in the same scene are collected through a polarization camera, Stokes parameters are calculated to obtain polarization degree and polarization angle information, and then atmospheric scattered light and object reflected light are distinguished. When the atmospheric light is estimated, the interference of a bright object is effectively avoided by combining the brightness and the polarization degree of a single-channel grey-scale map; in transmissivity estimation, a self-adaptive fusion strategy is provided, dark channel statistical characteristics and a polarization physical model are combined, and transmissivity estimation weight is adjusted in a self-adaptive mode according to regional polarization degree difference. And finally, realizing image restoration based on an atmospheric scattering model, and remarkably improving the information content and visual recognition effect of the defogged image by combining a multispectral false color fusion technology. Through organic combination of polarization defogging and multispectral enhancement, a complete technical scheme from image quality recovery to information depth extraction is formed, clear and information-rich image data can still be provided under severe weather conditions, and the method has important practical application value.

The application provides a complex precision part defect detection method and system based on optical detection, and belongs to the technical field of defect detection. The method comprises the following steps: dividing the detection surface of a complex precision part to be detected into a plurality of sub-aperture regions, and obtaining a corresponding backscattering image sequence; converting each backscattering image into a corresponding Stokes parameter image, and extracting an optical rotation angle parameter and a depolarization parameter; constructing a polarization state feature map with the optical rotation angle parameter as the abscissa and the depolarization parameter as the ordinate, and identifying a polarization state consistency region; spatially registering and splicing the polarization state consistency regions corresponding to adjacent sub-aperture regions to identify the polarization state evolution path corresponding to the spatial position points; and identifying the defect region of the complex precision part to be detected according to the polarization state evolution path of each spatial position point. The technical scheme provided by the application can realize accurate detection of defects of the complex precision part to be detected under the influence of abnormal polarization disturbance.

The application provides a multi-dimensional perception-oriented super-resolution imaging method and system. The method comprises the following steps: acquiring an original low-resolution polarization mosaic image collected by a defocus plane polarization camera, and calculating a first Stokes parameter and a second Stokes parameter according to light intensity components of multiple polarization directions contained in the original low-resolution polarization mosaic image; inputting the original low-resolution polarization mosaic image, the first Stokes parameter and the second Stokes parameter into a pre-trained polarization reconstruction model to obtain a high-resolution polarization image subjected to super-resolution reconstruction; wherein the pre-trained polarization reconstruction model is constructed through a multi-scale large kernel attention mechanism; the multi-scale large kernel attention mechanism is arranged at an encoder layer of the pre-trained polarization reconstruction model and is used for global feature modeling. Based on this, the super-resolution reconstruction of the polarization image is realized, which is physically faithful, efficient in feature extraction and strong in robustness.

The invention discloses an algae community detection method and system based on polarized light characteristics, and relates to the field of water environment monitoring, and the method comprises the steps: obtaining an algae single particle polarization scattering signal through multiple observation angles, resolving a Stokes parameter, further extracting a polarization phase to construct a polarization phase divergence matrix, and carrying out the structural representation of the polarization difference between the angles; meanwhile, a morphological complexity index is obtained through multi-angle scattering intensity statistics and is used for depicting scattering distribution characteristics; on the basis, a polarization-form coupling coefficient is provided, polarization phase differences of different angle combinations are subjected to weighted convergence and modulated by form complexity, and stable fusion of polarization information and form statistical information is achieved; and the coupling coefficients are subjected to statistical convergence in a time window to form an algal group cooperation index, so that unified output of single-particle species classification and community risk early warning is realized. Therefore, the distinction degree, the stability and the time sequence characterization capability of algae community detection are improved.

The application provides a kind of spatiotemporal modulation Fourier transform stokes polarization imaging spectrometer, including in turn along the direction of propagation of light beam: telescope system, polarization modulation system, converging system, polarization interference system and imaging system;Target scene emitted target light field is collimated into parallel light field in telescope system and is incident;Linearly polarized light field is obtained after collimated parallel light field is incident to polarization modulation system and is incident to converging system;Converging system is used to image linearly polarized light field to polarization interference system and produce superposition interference, form polarization interference imaging light field with specific optical path difference distribution characteristics and are incident to imaging system to obtain polarization interference image;By step scanning to target scene, obtain polarization interference image cube, by extracting each field of view corresponding interference order interference map, carry out stokes channel filtering and fourier transform, and then demodulate the spectral information of each stokes parameter of target light field.

The invention provides a complex amplitude imaging system based on a bifocal liquid crystal lens, and the system comprises a to-be-measured target complex amplitude light field which is located near a left-handed or right-handed circularly polarized light imaging object plane; the bifocal liquid crystal lens comprises a lens layer for providing a propagation phase required by lens imaging and a liquid crystal layer for providing a geometric phase required by left-handed and right-handed circularly polarized light separation; and the polarized photoelectric imaging unit is used for synchronously detecting polarized light intensity distribution along four different linear polarization directions on an image plane after imaging through the bifocus liquid crystal lens, and calculating polarization coding information containing a Stokes parameter based on the measured polarized light intensity distribution. On the basis, the invention further provides a complex amplitude reconstruction method based on the physical driving neural network, and complex amplitude reconstruction is achieved by substituting captured Stokes parameters and a forward physical imaging model into the neural network. According to the invention, the contradiction among the time resolution, the device simplicity and the reconstruction fidelity of the existing complex amplitude imaging system is solved.

The invention relates to the technical field of industrial visual inspection, and particularly discloses a wood board surface defect detection method and system.The method comprises the steps that firstly, a multi-exposure image sequence of the surface of a wood board is collected from multiple polarization angles, an unsaturation intensity graph is reconstructed through high-dynamic-range fusion, and a Stokes parameter field representing the whole surface point polarization state is solved; performing physical inversion on the parameter field, resolving a micro-plane normal vector distribution field for describing the surface microscopic geometrical morphology, performing multi-scale decomposition and adaptive fusion on the intensity graph and the normal vector field, generating an enhanced feature graph for simultaneously coding appearance texture and bottom layer geometrical physical information, inputting the feature graph into a pre-trained identification process, and identifying the appearance texture and the bottom layer geometrical physical information. A normal vector field is introduced as an internal geometric consistency constraint for feature correction and guidance, so that accurate positioning, classification and confidence evaluation of defects are realized; according to the method, the accuracy, the robustness and the practicability in surface defect detection of the high-reflection wood board are improved.

The invention discloses a combined optical detection method for distinguishing water mist and smoke based on the transmission characteristic of circularly polarized light, which comprises the following steps: S1, generating circularly polarized light, collimating and shaping the circularly polarized light into a light beam, and enabling the light beam to enter a sample chamber filled with a to-be-detected medium; s2, transmitting light penetrating through the sample chamber is received, and Stokes parameters S0, S1, S2 and S3 of the transmitting light are measured in real time; s3, calculating the degree of polarization and the ellipticity of transmission light based on the Stokes parameters; s4, carrying out time sequence analysis on the polarization degree and the ellipticity, and respectively extracting mean value and standard deviation characteristics of the polarization degree and the ellipticity; s5, on the basis of the mean value and standard deviation characteristics, calculating a combined discrimination amount used for distinguishing the water mist and the smoke; and S6, judging whether the current medium is water mist or smoke according to a comparison result of the combined judgment quantity and a preset threshold value. According to the invention, high-precision distinguishing of water mist and smoke can be realized through conjoint analysis of time change characteristics of the polarization degree and the ellipticity based on the transmission characteristics of circularly polarized light.

The application discloses a terahertz polarized non-inductive body temperature measurement method and system, and belongs to the field of microwave measurement. The application solves the problem that the existing method cannot realize quantitative and accurate inversion of the surface temperature of a large-area or whole human body under the condition that a thin layer of dry non-metallic covering such as clothes and dressing is reserved. A multi-line polarized brightness temperature image is obtained, and actual measured brightness temperature is obtained through preprocessing, a measured Stokes parameter is constructed to determine a polarization angle, a linear polarization degree and a local azimuth angle; an effective emission rate model is established according to the local azimuth angle, taking a local incident angle as a variable, and then predicted brightness temperature is estimated and predicted Stokes parameters and predicted linear polarization degrees are constructed; brightness temperature residual and polarization degree residual are calculated respectively, a double residual joint objective function is constructed, and an optimal incident angle is solved through optimization; and the surface temperature of the human body is inverted by using the predicted brightness temperature under the optimal incident angle, and a temperature distribution diagram is generated. The application is mainly applied to non-contact body temperature measurement.

The invention relates to the technical field of oil quality detection, and discloses a liquid oil optical characteristic online detection system based on computer vision. The system collects polarization image data through multi-angle polarization imaging, calculates a Stokes parameter to generate a polarization feature image, judges and detects fibrous foreign matters by applying an anisotropic Gaussian filter bank in combination with consistency, generates a spatial distribution mask, and applies shear disturbance pulse to trigger grease structure damage. The method comprises the following steps: acquiring recovery process time sequence flow velocity field data through structured light phase demodulation, generating a spatial resolution viscosity recovery time graph sequence, dividing regions based on a fiber spatial distribution mask, extracting recovery parameters, and finally generating a fiber-rheological coupling quantitative evaluation result, thereby realizing quantitative correlation between fiber foreign matter spatial distribution and local thixotropy recovery.

Device (10) for measuring the particle characteristics of a particle (12) located in a measuring volume (14) of the device (10). The device (10) has a light source (16) for generating a light beam (18) that passes through the measuring volume (14) and whose polarization in a cross-sectional plane (30) can be described by a spatially dependent Stokes vector that has a spatially dependent S3 Stokes parameter. Furthermore, the device (10) has a detector unit (34) configured to measure an S3 Stokes parameter of the light beam (18) reflected and / or scattered by the particle (12) and to output a measurement signal as a function of the measured S3 Stokes parameter, and an evaluation unit (82) configured to determine the particle characteristics as a function of the measurement signal from the detector unit (34).

This invention relates to the interdisciplinary field of artificial intelligence and industrial vision inspection, specifically disclosing a nonwoven fabric defect detection system based on a deep learning convolutional neural network. The system includes a polarization image acquisition device, a Stokes parameter calculation unit, a physical perception feature extraction network, a dual-stream fusion decision module, and a defect localization output unit. By simultaneously acquiring images in multiple polarization directions and generating polarization degree and polarization angle images, combined with a physical perception network embedding optical priors to enhance the response to weak defects, and then dynamically integrating light intensity and polarization features through dual-stream fusion and a cross-channel attention mechanism, pixel-level defect classification and localization are ultimately achieved. Through the above technical solution, this invention improves the detection rate of low-contrast defects such as oil stains and transparent adhesive dots, reduces false alarms and missed detections, and possesses online adaptive calibration capabilities, ensuring the stability and reliability of long-term industrial field inspections.

The invention discloses a broadband full-Stokes parameter measurer based on a liquid crystal two-dimensional polarization grating, and belongs to the technical field of liquid crystal photonics. The problems that an existing polarization measurer is complex in preparation, large in system and limited in narrow band are solved. The liquid crystal display panel comprises two light-transmitting conductive substrates which are oppositely arranged, the opposite surfaces of the substrates are spin-coated with photosensitive orientation layers, interval microspheres are arranged between the two substrates to control the thickness of a box and form a liquid crystal box, and the box is filled with liquid crystal materials; the photosensitive orientation layer is oriented through single holographic exposure, liquid crystal molecules are guided to form a two-dimensional polarization grating, the grating serves as a geometric phase device to work under a half-wave condition, and incident light can be separated into six polarization states including 0-degree / 90-degree linearly polarized light, 45-degree / 135-degree linearly polarized light and right-hand / left-hand circularly polarized light. By measuring the light intensity of six polarization states, the full Stokes parameter of incident light can be obtained at a time, the effective birefringence of the liquid crystal is regulated and controlled by means of voltage, the liquid crystal is adaptive to 450-1550 nm visible light, near-infrared and infrared bands, and the liquid crystal has the advantages of being simple in preparation, easy to integrate and accurate and efficient in measurement.

An optical fiber current sensing controller module, where an optical transmitter is energized from a DC source and emits an optical field of calibrated intensity and wavelength to a linear polarizer which generates a reference signal which is then launched in alignment with the transmission axes of a polarization maintaining optical fiber link to a remote and passive fiber optic current sensor (FOCS), where the linearly polarized optical pulse traverses a complete circular path around an energized conductor and is subject to polarization plane rotation in proportion to the magnetic flux density with the integration equal to electric current magnitude according to Ampere's law, and the rotated polarized optical pulse is transmitted back to the optical fiber current sensing controller module via a return fiber optic cable, where the Stokes vector polarization parameters for the returned optical signal are calculated by splitting the elliptically polarized field into four components, passing these components through an analyzer comprised of a linear horizontal polarizer, a linear vertical polarizer, a linear polarizer with transmission axis set at 45 degrees, and a linear polarizer with transmission axis set at 135 degrees, respectively, and where the four separate outputs of the four fiber optic polarizing filters are connected respectively to four separate photodiodes which transduce each optical intensity to analog voltage outputs which are sampled by a digital signal processing chipset, where the Stokes vector parameters for the polarized optical signal are calculated directly from the digitally sampled array of optical intensity values transduced by the photodiodes, and the change in polarization state from which electrical current is measured is derived by comparing the initial linear polarization Stokes vector of the generated reference signal with the measured Stokes parameters of the elliptically polarized optical signal received from the analyzer, and where a sample of the generated polarized reference signal is measured at a photodiode to monitor online sensor network optical attenuation and reference signal power fluctuations.

This invention provides a pseudo-color fusion method and system for images against a dark background based on polarization angle characteristics. The method includes: acquiring the outgoing light intensity of the target scene using a polarization camera, calculating the Stokes parameter image data of the target scene, and parsing the polarization information; mapping the synthesized light intensity I, linear polarization degree P, and polarization angle A to the brightness V, saturation S, and hue H in the HSV model, respectively, to obtain normalized synthesized light intensity, linear polarization degree stretching data, polarization angle preprocessing data, and hue matching parameters; processing the characteristic data of polarization angle A using a preset polarization robustness discrimination logic for the current observation point in the target scene to obtain polarization robustness discrimination parameters; judging the state of polarization noise based on the polarization robustness discrimination parameters and performing pseudo-color model mapping; and converting the pseudo-color HSV image into an RGB color representation image for display. This invention solves the technical problem of unsatisfactory pseudo-color fusion results caused by excessively dark background areas where the target is located.

This invention discloses a method and system for restoring polarized images of scattering environments based on manifold-constrained transmittance refinement. First, polarized images are acquired using a focal plane camera and channel compensation is performed to calculate Stokes parameters. Then, background polarization characteristics and background radiation are adaptively estimated. Next, an optical thickness proxy is constructed using polarization contrast, and an initial transmittance field is generated through a parameterized attenuation law with confidence weighting. Then, pixels are mapped to a five-dimensional polarization feature space to construct a data-adaptive manifold, and a Charbonnier penalty term is used to regularize and optimize the transmittance, resulting in a refined result that preserves the boundaries. Finally, scene radiation is inverted based on a physical model, and a closed-loop optimization of global parameters is performed using an unsupervised particle swarm optimization algorithm to improve the restoration quality. Compared with existing technologies, this invention can stably and accurately estimate transmittance, effectively suppress noise and artifacts, and is suitable for strong scattering environments such as underwater and foggy conditions.

The embodiment of the application discloses a kind of hierarchical quality control judging method and device for corneal polarization birefringence measurement, the method includes obtaining polarization quality evaluation parameter, polarization quality evaluation parameter includes image quality parameter, area parameter, basic parameter and advanced parameter, image quality parameter is the parameter extracted based on original light intensity image statistical characteristics, area parameter is the statistical quantity describing image spatial distribution consistency, basic parameter is the polarization state description quantity directly solved according to Stokes parameter or Mueller matrix, and advanced parameter is the physical quantity obtained by complex mathematical inversion calculation to basic parameter;According to the image quality parameter, serious defect determination is carried out in sequence, according to the area parameter, area validity determination is carried out, according to the basic parameter and advanced parameter, parameter reliability determination is carried out.According to the embodiment of the application, the limitation of single parameter evaluation can be overcome, and the reliability of corneal polarization birefringence measurement can be significantly improved.