15 results about "Anisotropic scattering" patented technology

The invention discloses an underwater image enhancement method based on dual-path feature decoupling and gating fusion. The method comprises the following steps: firstly, constructing a training data set; then, an encoder-bottleneck layer-decoder is used as a trunk, and a dual-path encoding and decoding mechanism is adopted to construct an underwater image enhancement model; the encoder is used for extracting direction encoding features and space encoding features; the bottleneck layer is used for extracting global and local features and fusing and outputting bottleneck features; the decoder is used for decoding and multi-scale refinement so as to reconstruct and obtain an underwater enhanced image; then training is carried out to obtain a trained underwater image enhancement model; and finally, the device is deployed to acquire the underwater image in real time for underwater image enhancement. According to the method, independent modeling is carried out for anisotropic scattering / edge attenuation and spatial non-uniform atomization / local brightness imbalance, and mutual interference of different degradation causes in the same feature space can be reduced.

The invention belongs to the technical field of detection, and discloses a flaky zinc pigment particle size analysis and detection method and a flaky zinc pigment particle size analysis and detection system. And on the basis, a polarization scattering characteristic value representing anisotropic scattering characteristics of the flaky pigment particles is obtained, so that the problem that the particle size detection result is distorted due to random orientation of the flaky zinc pigment particles is effectively solved, and the effect of providing detection data really reflecting the effective particle size state is achieved.

This invention discloses a method and system for detecting surface defects in a transparent hood based on three-dimensional scanning, belonging to the field of three-dimensional optical measurement technology. The method includes steps such as optical characteristic pre-scanning and partitioning, adaptive viewing angle planning and dynamic scanning, scattering sensing registration and signal separation, surface reconstruction and defect extraction. By establishing an anisotropic scattering model and calculating the scannability index, this invention solves the technical problem of traditional scanning viewing angle planning that only considers geometric visibility while neglecting the optical characteristics of the transparent material. It achieves an improvement in scanning viewing angle from geometric reachability to optical detectability, increasing the point cloud integrity rate and multi-view stitching accuracy in areas with high curvature. By dynamically adjusting laser power, exposure time, polarization state, focal length, depth of field, and sampling density in real time based on optical characteristic partitioning, it achieves adaptive matching between scanning parameters and the material's optical response, effectively suppressing subsurface scattering interference and improving the microcrack detection rate.

The invention discloses a variational nodal method for directly and quantitatively depicting a first-order anisotropic scattering process, which comprises the following steps of: after an input nodal section and geometric information are obtained, solving a P1 equation set for directly and quantitatively depicting the first-order anisotropic scattering process, deducing to obtain a second-order form of the P1 equation set, and constructing a variational nodal model for solving the P1 equation set in the second-order form; comprising functional construction, spatial discretization and variational derivation, a P1 equation set after numerical discretization is obtained, a power method is adopted for iterative solution, and accurate description of first-order anisotropic scattering is completed. According to the method, diffusion approximation can be eliminated, high algorithm calculation efficiency and iteration stability are ensured, transverse integration is eliminated, the first-order anisotropic scattering effect of light water and part of materials in the pressurized water reactor core is accurately described, and the physical calculation precision of the reactor core is improved.

The invention relates to a display device (1) having two operating modes. The invention also relates to a vehicle having such a display device (1). A display device (1) has a display panel (2), a first backlight portion (5), a second backlight portion (6), and an element (7) arranged between the first backlight portion (5) and the second backlight portion (6) for limiting an angular distribution of light emitted by the second backlight portion (6). The display panel (2) has a first polarization filter (3) arranged on the front side when viewed from the perspective of the observer and a second polarization filter (4) arranged on the rear side when viewed from the perspective of the observer. The second polarization filter (4) has an anisotropic scattering member (40).

The invention relates to the technical field of electromagnetic full-wave inversion, in particular to a two-dimensional cross-layered efficient electromagnetic full-wave inversion method based on a spectral element boundary integral method.During forward modeling calculation, a scatterer crossing multiple horizontal layers is surrounded by a one-dimensional smooth boundary, and two-dimensional electromagnetic field distribution is solved by adopting a spectral element method in a region; accurately truncating an SEM solving domain on the boundary by using a boundary integral equation; for a transverse electric mode and a transverse magnetic mode, equivalent current / magnetic current is solved by using BIE, and a receiver scattering field is calculated in combination with a layered two-dimensional vector Green function; in the full-wave inversion, in order to reconstruct TE mode isotropic scatterer model parameters and TM mode anisotropic scatterer model parameters respectively, first-order derivatives of a mass matrix and a stiffness matrix relative to the corresponding parameters are calculated respectively, a sensitivity matrix is constructed, and an LM optimization algorithm is adopted to iteratively call an SEBI forward solver to complete inversion; multiple groups of numerical experiments verify the accuracy and high efficiency of the SEBI-LM algorithm in forward modeling and FWI.

A visible laser or laser amplifier is provided with a ceramic gain medium having a uniaxial anisotropic scattering property such that scattering losses for a visible laser beam along one axis are lower than that along perpendicular axes, and that axis is used as the optical path. The ceramic gain medium includes at least a trivalent praseodymium dopant (Pr3+) within a host body based on CaF2, SrF2, BaF2, or a solid solution thereof. Co-dopants can include one or more other trivalent rare earth (RE) elements chosen from Lu3+, Y3+, Gd3+, and La3+. The ceramic gain medium, which is made from wet-chemistry precipitated powders, undergoes uniaxial compression, generally under high heat, as an essential step in its manufacture. In use, a pump source using a laser diode of gallium nitride-based semiconductor can be advantageously paired with the gain medium.

The invention particularly relates to a deep learning numerical solution method for an anisotropic scattering neutron transport equation, belongs to the technical field of neutron transport equation solution, and solves the anisotropic scattering neutron transport equation through multi-primitive function variable order iteration deep learning. Comprising the following steps: step 1, establishing an expression of a neutron transport equation according to a geometric form and boundary conditions of a scattering source; step 2, performing differential order change on each integral item in the neutron transport equation into an original function corresponding to an integrand function under an integral number to obtain a differential equation, and establishing a definite solution constraint condition of the original function; and step 3, respectively mapping an original function and an unknown angular flux density function in the neutron transport equation into neural network functions, solving a framework of a differential equation based on deep learning, and carrying out alternate iteration deep learning until a loss function is smaller than a preset value, so as to obtain a numerical solution of the unknown angular flux density function. The invention provides a new technical approach for the numerical solution method of the anisotropic scattering neutron transport equation.

The invention discloses a polyester filament yarn spinning on-line detection system and method based on machine vision, and belongs to the technical field of chemical fiber production quality control. The system drives the detection terminal to follow up in real time through the spatial position locking unit, and the physical working distance between the light field shielding unit and the surface of the spinning cake and the physical working distance between the internal optical assembly and the surface of the spinning cake are locked to be constant values; in the stable geometric boundary, narrow-band light and a constant incidence angle are utilized to construct an anisotropic scattering field, internal transmission light is physically cut off, and surface projection is enhanced; and finally, the data processing center calculates the physical height of the defect from the scattered field image through a calculation model containing light loss compensation and jitter suppression items. According to the invention, stable quantitative detection of the spinning cake surface microstructure under the dynamic winding working condition is realized.

The present disclosure provides a reactor scattering matrix correction method and device, electronic equipment and storage medium, which relates to the technical field of nuclear reactors, and through the adoption of particle transport simulation to obtain the statistical quantity of mean square displacement of neutrons in the reactor medium and to obtain the average scattering angle cosine by inversion to determine the initial first-order scattering matrix, at the same time, the equivalent relationship between the infinite medium model and the target finite geometry is established and the geometric correction factor is calibrated, and in the group constant calculation of the target finite geometry, the correction factor is applied to correct the average scattering angle cosine obtained based on the flux proportionality assumption, and then the corrected first-order scattering matrix is generated, so that the problem that the anisotropic scattering is systematically underestimated due to the dependence on the flux proportionality assumption in the prior art, and the mean square displacement derivation of the infinite medium model cannot adapt to the finite geometric structure such as the reflection layer or super-component, thereby causing the large calculation error of the effective multiplication factor and the significant neutron flux deviation in the reflection layer region, can be solved.

The invention discloses a nuclear reactor core physical calculation high-order transport correction method based on a two-step method, belongs to the field of neutron transport process simulation calculation and reactor physical analysis, and focuses on the existing two-step method in a three-generation pressurized water reactor and other scenes containing multiple burnable poison and control rod frequent movement. The problem of insufficient calculation precision caused by a strong anisotropic scattering effect is solved; the method comprises the following steps: 1, carrying out all-component one-step method non-uniform neutron transport calculation to obtain a non-uniform neutron standard flux density and a non-uniform neutron angular flux density; 2, expanding a spherical harmonic function of the non-uniform neutron-flux density; 3, homogenizing a high-order angle-related section; 4, performing high-order transport correction based on the angle-related cross section; 5, obtaining a high-order diffusion coefficient; and 6, subsequent reactor core calculation. According to the method, high-order anisotropic scattering is directly considered through spherical harmonic function approximation, the deviation of component and reactor core calculation scattering order inconsistency is eliminated, section processing is optimized to balance precision and efficiency, and accurate data support is provided for nuclear energy device design analysis.

The invention relates to the technical field of image analysis, in particular to a meat quality analysis method and system based on machine vision, and the method comprises the steps: obtaining a first polarization hyperspectral image and a second polarization hyperspectral image; performing spectral correction on the first polarization hyperspectral image and the second polarization hyperspectral image to obtain a first reflectivity spectral image and a second reflectivity spectral image, and performing pixel-by-pixel difference operation to obtain a polarization difference spectral image; extracting anisotropic scattering characteristic parameters from the polarization difference spectral image; calculating a muscle fiber structure order degree index of the to-be-detected meat sample according to the anisotropic scattering characteristic parameters; performing freeze-thaw history judgment and quality grade evaluation on the to-be-detected meat sample according to the muscle fiber structure order degree index; accurate detection of muscle fiber structure damage caused in the freezing and thawing process is realized, and accurate evaluation of meat quality is improved.

The invention relates to the technical field of functional textile materials, in particular to a radiation refrigeration fiber with anisotropic radial long-strip pore canals and a preparation method and application thereof.The preparation method mainly comprises the steps that a polymer matrix and a diluent are blended and spun, and phase separation occurs through cold air induction; replacing and removing the diluent through an extracting agent to form a micro-porous network framework; and after drying and specific preheating setting treatment, carrying out high-magnification directional drafting in a polymer high-elastic state interval. According to the process, micropores in the fibers are induced to be subjected to controlled plastic stretching and merging, and finally an anisotropic long-strip hole structure which extends in the axial height direction and is arranged in a radial shape is formed. According to the prepared fiber, the radial polymer wall which is continuous in the axial direction is used as a force bearing framework, the breaking strength and the structural stability of the fiber are greatly improved, and meanwhile efficient anisotropic scattering and heat insulation on sunlight are achieved through the pore channels with the high length-diameter ratio.

Lighting device (1a) for a screen (1) which can be operated in at least two operating modes B1 for a free viewing mode and B2 for a restricted viewing mode in which light is emitted from the lighting device in an angular range that is restricted compared to the free viewing mode, comprising - an area-like extended backlight (2) that emits light into the restricted angular range, - a plate-shaped light guide (3) located in the viewing direction in front of the backlight (2) with two large surfaces and narrow sides connecting the large surfaces at their edges, wherein the light guide (3) has coupling elements (6) on at least one of the large surfaces and / or within its volume, wherein the light guide (3) is at least 50% transparent to the light emanating from the backlight (2), wherein each coupling element (6) has at least one functional surface for the defined coupling of light, at which light is coupled out of the light guide (3), - light sources (4) arranged laterally on the narrow sides of the light guide (3), - wherein in operating mode B2 the backlight (2) is switched on and the light sources (4) are switched off, and wherein in operating mode B1 at least the light sources (4) are switched on, characterized in that - that for at least a part of the output coupling elements (6) an orientation vector parallel to the large surface from which the light exits of each function surface with a preferred direction encloses an angle with a magnitude of up to 45°, wherein the orientation vector is a vector which maximizes the integral of the scalar product of this vector with a position-dependent normal vector of the function surface over the function surface, and wherein each normal vector encloses an angle between 5° and 85° with the large surface in question, whereby the optical fiber (3) exhibits a scattering behavior in the preferred direction that is at least 1.2 times stronger than in a direction perpendicular to the preferred direction, and thus exhibits anisotropic scattering behavior overall for light which passes through the optical fiber (3) through both large surfaces.

The application discloses a RIS-assisted single-carrier 3D imaging method based on multi-view image correlation, and belongs to the field of wireless communication and imaging. A UE sends a known pilot signal at each position, a RIS synchronously generates a random phase configuration, and an AP extracts channel state information of a twice-scattering path of ROI and RIS from a received signal; secondly, a linear mapping relationship between a channel state information measurement vector of the twice-scattering path of ROI and RIS and a ROI scattering coefficient image is established; then, according to an occlusion effect and an anisotropic scattering characteristic, multi-view image correlation characteristics of the ROI under observation of different UE positions are established; finally, according to the multi-view image correlation characteristics, the scattering coefficient image of the ROI is recovered from the channel state information measurement vector. The application has the capabilities of single-carrier 3D imaging, multi-view joint imaging and real-time imaging, and simultaneously significantly improves image estimation precision.