35 results about "Specular component" patented technology

The invention discloses a machine vision-based enzyme freeze-dried powder quality detection method, and belongs to the technical field of machine vision, and the method specifically comprises the following steps: in a closed optical cavity, synchronously collecting a multispectral polarization sequence of a sample through annular multispectral polarization illumination and microscopic imaging; performing short-time airflow pulse disturbance and continuous imaging on the sample, and constructing a polarization time sequence texture map by means of inter-frame polarization retention difference; according to Stokes parameters, calculating a deskewness graph and a specular reflection component graph, and carrying out joint normalization on the deskewness graph and the specular reflection component graph and the polarization time sequence texture graph to form a multi-channel feature stack; constructing a double-branch encoder, and performing comparative learning on the feature stack to generate an impurity prototype dictionary; using the dictionary to match the feature stack pixel by pixel, and tracking and inhibiting powder agglomeration false detection through a topological constraint connected domain; and recovering a height map by using an oblique incidence fringe phase shift method, performing pixel-level fusion with the candidate image, retaining targets with height abrupt change and consistent polarization characteristics, and outputting an impurity mask.

The invention relates to the technical field of image processing, and discloses a facial health state assessment method and system based on layered optical modeling. The objective of the invention is to solve the problems of poor face health state evaluation precision and robustness caused by rough optical modeling, mixed reflection components, weak environmental adaptability and insufficient multi-dimensional health index fusion capability in the prior art. The method comprises the following steps: synchronously acquiring a user face video sequence comprising at least two different spectral bands through a multispectral imaging device; constructing a multilayer optical transmission model of the skin tissue, and separating a specular reflection component and a diffuse reflection component from the face video sequence; extracting a physiological time sequence signal related to subcutaneous blood flow activity from the separated diffuse reflection component, and calculating heart rate, heart rate variability and blood oxygen saturation parameters; and fusing the physiological parameters and expression and micro-expression features extracted from the facial video sequence, and outputting quantitative evaluation results of fatigue degree, pressure level and emotional state through a pre-trained deep neural network model. The system comprises a multispectral image acquisition module, a layered optical modeling module, a reflection component separation module, a physiological parameter inversion module and a health state evaluation module. According to the technical scheme, the signal-to-noise ratio and stability of physiological signal extraction in a complex illumination environment can be remarkably improved, the adaptability to individuals with different skin colors and dynamic illumination conditions is enhanced, and more accurate and more robust judgment of the high-order health state is achieved.

The invention discloses a new energy station multi-mode security threat detection and active defense method and system, and relates to the technical field of new energy station security monitoring and intelligent protection, and the method comprises the following steps: constructing a brightness and texture cross-time scale joint observation baseline, extracting a hot spot track and boundary definition curve, and obtaining a new energy station multi-mode security threat detection and active defense model; generating a time anchor point set reflecting the illumination change rate; and performing frame-by-frame optical decomposition based on the time anchor point set, separating a specular reflection component from a diffuse reflection component, extracting a brightness mutation position, calibrating a pseudo peak seed region, and constructing an illumination behavior template. According to the invention, through constructing a time anchor point and an illumination behavior template, accurate identification of illumination disturbance is realized, a false alarm window is compressed in combination with multi-modal verification, a sampling rhythm is reconstructed, pseudo peak energy is adaptively suppressed, the credibility of a target signal is enhanced, and a closed-loop control flow from identification to response is formed. And safe and stable operation of the new energy station in a dynamic environment is effectively ensured.

The invention provides a coaxial telecentric imaging tinplate can defect identification method and system, and relates to the technical field of defect identification, the system is composed of a coaxial telecentric camera assembly, a polarization multispectral light source assembly and an image processing and control unit, and can body images with constant magnification are obtained through a telecentric lens and coaxial illumination; a switchable cross-polarization visible light and near-infrared light source is used for synchronously collecting multi-modal images, and separation and difference are carried out on different polarization and wave band images to obtain a specular reflection component image, a diffuse reflection component image and a multi-spectral difference image. The image is divided into a character area, a pattern area and a bottom color area according to the format of the can body, comprehensive judgment is conducted through character comparison, a lightweight neural network and defect area connectivity analysis, automatic recognition of defects such as scratches, through printing and smudginess is achieved, and the accuracy and stability of appearance detection of the tin can on a high-speed production line can be improved.

A polarizer applied for a viewing side of a display is disclosed. The polarizer comprises a polarizing layer with an absorption axis, and a protective film disposed on the viewing side surface of the polarizing layer. The protective film includes a birefringent substrate adjacent to the polarizing layer having a birefringence difference not greater than 0.10 and having a slow axis and a fast axis perpendicular to each other, wherein the slow axis is parallel to the absorption axis of the polarizing layer, and an interference elimination layer disposed on a display side surface of the birefringent substrate, wherein the interference elimination layer has a diffusing layer disposed on the birefringent substrate, and a refractive-index-matching layer disposed on the diffusing layer, wherein with the total haze of the protective film is between 30% and 75% and the reflectivity of the protective film satisfies the relationship (RSCI−RSCE)≤1.0% and RSCE / (RSCI−RSCE)≥1.6, wherein RSCI is an average reflectivity of diffuse component and specular component (specular component included, SCI) of the protective film, and RSCE is an average reflectivity of diffuse component (specular component excluded, SCE) of the protective film.

One embodiment of the present disclosure provides a copper foil having a first surface and a second surface and including a copper film having a matte surface facing the first surface and a shiny surface facing the second surface; and a protective layer disposed on the copper film, wherein the copper foil has a specular reflectivity of 1.0 to 30.0 on the first surface. The specular reflectivity refers to a value obtained by subtracting a brightness index measured in a specular component excluded (SCE) mode from a brightness index measured in a specular component included (SCI) mode, and is measured using a colorimeter.

The colored photosensitive resin composition of the present invention maintains excellent resolution, visibility, and the like while it has excellent reflectance RSCI measured by the SCI (specular component included) method, reflectance RSCE measured by the SCE (specular component excluded) method, and the ratio between them (RSCE / RSCI), and has a uniform film thickness in an appropriate range. Thus, it can be formed into a multilayer cured film that simultaneously satisfies such physical properties as a high reflectance and a high light-shielding property. In addition, when a cured film is formed from the composition, it is possible to form a pattern on a multilayer film in a single development process. Thus, it can be advantageously used for a quantum dot display device.

An object of the present invention is to provide an optical laminate including a plurality of liquid crystal layers having different alignment states of liquid crystal compounds and having a low reflectivity of a specular reflection component in a case where light is incident; a display device; and a sensor. The optical laminate of the present invention includes a first liquid crystal layer containing a liquid crystal compound and a second liquid crystal layer containing a liquid crystal compound, in which the first liquid crystal layer and the second liquid crystal layer are adjacent to each other, the first liquid crystal layer has a liquid crystal alignment pattern in which an orientation of an optical axis derived from the liquid crystal compound changes while continuously rotating in at least one in-plane direction, and predetermined requirements are satisfied.

The invention discloses a polarization three-dimensional reconstruction method and device based on spectral information mirror diffuse separation. The method comprises the following steps: acquiring light intensity expressions of a target object in different polarization directions under each spectral channel; the light intensity expression comprises a direct-current spectral component and an alternating-current spectral component of a specular reflection component in different polarization directions under each spectral channel, and a direct-current spectral component and an alternating-current spectral component of a diffuse reflection component; constructing a first relationship between the polarization degree of the specular reflection light of the target object and the normal zenith angle and a second relationship between the polarization degree of the diffuse reflection light and the normal zenith angle under each spectrum channel; and a third relationship between the refractive index and wavelength of the surface of the target object; and based on the light intensity expression, the first relation, the second relation and the third relation, solving to obtain a normal zenith angle and a normal azimuth angle so as to obtain a three-dimensional reconstruction result of the target object, thereby providing a polarization three-dimensional reconstruction method which fully considers the mixed reflected light and different refractive indexes.

One embodiment of the present disclosure provides a copper foil having a first surface and a second surface and including a copper film having a matte surface facing the first surface and a shiny surface facing the second surface; and a protective layer disposed on the copper film, wherein the copper foil has a specular reflectivity of 1.0 to 30.0 on the first surface. The specular reflectivity refers to a value obtained by subtracting a brightness index measured in a specular component excluded (SCE) mode from a brightness index measured in a specular component included (SCI) mode, and is measured using a colorimeter.

A display system includes a host and a display module coupled to the host. The host includes a transmission interface. The display module includes a display panel and an optical structure layer disposed on the display panel. The optical structure layer includes at least an anti-glare layer. The display module has a specular component include (SCI) and a specular component exclude (SCE). The specular component exclude (SCE) is greater than 0.6 times the specular component include (SCI). The display module has a first luminance at a viewing angle of 0 degree and a second luminance at a viewing angle of 40 degrees. The second luminance is greater than half of the first luminance.

The invention provides a transportation hub and building curtain wall surface detection system, method, equipment and medium, and relates to the technical field of glass curtain wall production line detection.The method comprises the steps that an initial surface image of a cleaned glass curtain wall is collected, and denoising processing is conducted on each pixel point according to a pixel neighborhood value to obtain a denoised image; determining an illumination factor according to the diffuse reflection component and the specular reflection component of the glass curtain wall, and performing reconstruction by combining the de-noised image to obtain a reconstructed image; determining a three-dimensional shape mid-plane of the glass curtain wall according to the reconstructed image, and obtaining surface height data to determine surface smoothness of the three-dimensional shape mid-plane; the surface smoothness is compared with a preset smoothness threshold value, if the smoothness is higher than the threshold value, it is judged that cleaning is completed, and if the smoothness is lower than the threshold value, the cleaning device is controlled to conduct cleaning again; according to the method, illumination interference is effectively overcome through three-dimensional morphology analysis, the detection precision of the surface smoothness is improved, and the technical problem of low detection precision in the prior art is solved.

The invention discloses a stochastic differential equation-based building method for connecting a physical rendering and diffusion model, which is characterized by comprising the following steps of: on the basis of a central limit theorem, converting discrete Monte Carlo integral into continuous time SDE expression; the method comprises the following steps: constructing a Monte Carlo stochastic differential equation, establishing mapping alignment of MC-SDE variance time tau and diffusion model time step t through uniform hemisphere sampling of a unified noise source and separation of diffuse reflection and specular reflection components, pointing out a denoising earlier stage corresponding to a low sampling path tracking image, and the like. Experiments prove that the method can apply physical control to a diffusion model generation result, the low-sampling path tracking image is input into the pre-training diffusion model to complete denoising, and a high-quality rendering result is generated. Compared with the prior art, the method has the advantages that the physical control capability of the PBR and the generation flexibility of the diffusion model are effectively combined, and the technical problems that the physical controllability of the diffusion model is insufficient, the physical rendering prompt driving flexibility is insufficient, and the two are difficult to fuse are solved.

The application discloses a kind of laser scanning detection method and system of glass surface defect, belong to optical intelligent detection technical field.This method establishes multi-angle laser scanning optical path, makes incident angle in 15° to 75° range continuously adjustable, and drives light beam to carry out two-dimensional scanning;Polarization light path system is configured, incident laser is converted into single polarization state linearly polarized light, and reflected light is divided into two ways by beam splitter at detection end, respectively for monitoring total light intensity and measuring light intensity after polarization analysis, and performing polarization state orthogonal alignment process, so that the transmission axis of polarization analysis element and the polarization direction of mirror reflection component are orthogonal;Double-mode scanning detection is executed, low-angle incidence mode is used to quickly establish overall topography profile, and high-angle incidence mode is used for fine detection of specific area.The application can effectively suppress the mirror reflection interference of high-reflectivity glass surface, avoid signal saturation, and realize high-precision and high-efficiency glass surface flatness detection.

The application relates to the technical field of digital image processing, and discloses a crop disease and pest image enhancement and segmentation method under a complex light environment, which comprises the following steps: acquiring an image, removing texture pixels based on local gray variance, and generating an ambient light source reflection chrominance vector; combining a diffuse reflection reference vector to separate a specular reflection component and output a diffuse reflection image, and generating a residual gradient field by deriving the specular reflection component; performing superpixel segmentation on the diffuse reflection image, fusing color and texture features to construct a joint covariance matrix; constructing a weighted graph with a superpixel centroid, fusing a manifold distance and a light penalty term generated based on the residual gradient field to generate a composite weight; calculating a topological persistence period based on the composite weight, merging superpixel blocks meeting a threshold, and outputting a disease segmentation mask image. Through physical light decoupling and topological persistent homology analysis, the application can strip off strong light reflection interference and inhibit false edges, and accurately segments a disease area under complex natural light.

This invention belongs to the field of industrial automation inspection technology, specifically relating to a method and system for classifying acoustic module defects based on multi-feature fusion. The method includes: acquiring multi-angle polarization images of the acoustic module under test; calculating and generating basic feature maps such as illumination intensity, degree of polarization, and polarization angle; decomposing the light intensity into diffuse reflection and specular reflection components using the degree of polarization; and constructing a material inhomogeneity index and a geometric distortion index to enhance weak defect signals. Through online prototype learning, this method can generate a robust material distribution map unaffected by illumination and batch variations. This invention uses this material distribution map as a spatial context, invoking specific classification rules based on the different material regions where the defect is located, thereby distinguishing defects from normal structures, reducing the false alarm rate of traditional detection methods, and achieving accurate and robust classification of complex surface defects.

This invention relates to the field of visual inspection, specifically to an intelligent sorting system and method based on machine vision. The system acquires image sequences of targets in multiple polarization directions and multispectral bands; constructs a polarization-reflection physical constraint model, decomposing pixels into diffuse reflection and specular reflection components; calculates a specular mask based on the spatial distribution characteristics of the specular reflection component; establishes a multispectral intrinsic image mapping relationship based on the diffuse reflection component and spectral band reflectance; and reconstructs diffuse reflection intrinsic images under different polarization states using an adaptive weighted fusion strategy to generate a specular-free intrinsic image; and extracts texture and edge features from the specular-free intrinsic image for visual inspection and sorting localization. This invention removes specular interference from the optical mechanism, restores texture and edge features in specular-occluded areas, overcomes the problem of feature loss on complex curvature reflective surfaces, and ensures recognition stability and localization reliability in highly reflective scenes.

A display device that includes: a glass substrate comprising a refractive index (nsubstrate); a display device structure coupled to the substrate to collectively define a viewing area; and a black mask structure surrounding the display device structure that is coupled to the substrate and comprises a black ink layer and at least one glossy layer between the black ink layer and the glass substrate. The viewing area is characterized by (a) a reflectance from 0.5% to 2.5% as measured at 8 degrees from normal in the visible spectrum, (b) a brightness in the CIE colorimetry system such that 5<L*<17 for the specular component included (SCI), and (c) a brightness in the CIE colorimetry system such that 0<L*<3 for the specular component excluded (SCE). Further, the at least one glossy layer comprises a refractive index (nglossy) such that |nglossy−nsubstrate|>0.1.

The invention relates to the technical field of portrait acquisition and comparison, and discloses a portrait acquisition and comparison method and system for frontier inspection, and the method comprises the steps: obtaining an original intensity image in a preset polarization direction, and obtaining an original intensity image based on a Stokes vector principle and a two-color reflection model; separating the collected image into a specular reflection component representing surface texture and a diffuse reflection component representing subcutaneous tissue characteristics; spatial frequency domain energy distribution of the two components is calculated, Boltzmann distribution is used for weighting and determining an overlapping characteristic value of a frequency domain of a diffusion mirror surface, and a light scattering scale parameter of the current skin is inversed according to the overlapping characteristic value; constructing a tissue optical characteristic filter, modulating the diffusion component in a frequency domain so as to map the diffusion component to a preset standard light scattering scale, and combining the mirror component subjected to energy whitening equalization to synthesize a normalized face image; and generating a binary final verification result by calculating the feature vector cosine similarity of the normalized image and the certificate reference image and combining an abnormal deviation penalty term.

The invention relates to the technical field of image processing, in particular to a non-ferrous metal calendaring process quality control method based on machine vision, which comprises the following steps: adopting multi-angle structured light to cooperate with a line-scan digital camera for alternate exposure, and acquiring an aligned multi-source image sequence through synchronous trigger pulse and pixel offset compensation; deconstructing the sequence into diffuse reflection and specular reflection components by using an image decomposition algorithm, and performing multi-scale fusion in combination with an adaptive mask to reconstruct a defect texture base map; inputting the base map into the feature pyramid network, and shielding oil mist and water vapor interference through adjacent frame residual analysis; defect candidate frames are adaptively generated by using deformable convolution, and overlapping is eliminated based on confidence coefficient smooth conversion. According to the method, high-frequency phase distortion information is extracted from a light reflection principle, and a time-space cooperative residual analysis and adaptive geometric perception mechanism is introduced, so that high reflection of nonferrous metals and noise interference of a complex production environment are effectively inhibited, and closed-loop control of a process state is realized.

One embodiment of the present invention provides a copper foil having a first surface and a second surface, and includes a copper layer having a dull surface facing the first surface and a shiny surface facing the second surface; and a protective layer arranged on said copper layer, wherein said copper foil has a specular reflectance of 1.0 to 30.0 on the first surface. Specular reflectance refers to a value obtained by subtracting a brightness index measured in the specular component excluded (SCE) mode from a brightness index measured in the specular component included (SCI) mode, and is measured using a colorimeter.

A display device, including a first display panel, a second display panel, and a first optical structure layer, is provided. The first display panel has a first display surface emitting light toward a first direction. The second display panel has a second display surface emitting light toward a second direction, wherein the first direction is different from the second direction. The first optical structure layer is disposed on the first display panel, wherein a glossiness of the first optical structure layer is between 4 GU and 35 GU, and a reflectivity of specular component included (SCI) of the first optical structure layer is between 3% and 6%. The display device provided by the disclosure can reduce the influence of ambient light from the outside on a displayed image.

A display device includes a display panel and an optical structure layer. The optical structure layer is disposed on the display panel. A glossiness of the optical structure layer is between 4 GU and 35 GU, and a reflectivity of specular component included (SCI) of the optical structure layer is between 3% and 6%. The display device disclosed in the disclosure may reduce an influence of a displayed image from ambient light from the outside.

The application discloses a monocular endoscope SLAM-oriented high-light-aware deformable front-end perception method and system, and belongs to the technical field of medical image processing, computer vision and endoscope visual navigation. Firstly, high-light removal and diffuse reflection reconstruction are performed on the monocular endoscope image to obtain a high-light mask, a specular reflection component and a high-light-removed diffuse reflection image; the high-light mask is introduced into a deformable convolution offset prediction process, sampling points are constrained to avoid the reflection area through a differentiable high-light sampling penalty term; based on the high-light-removed diffuse reflection image, a depth map and camera internal and relative pose, a differentiable view re-projection is constructed, a luminosity consistency loss is weighted down by using the high-light mask, and a non-Lambertian self-supervised luminosity constraint is formed. The application significantly reduces the interference of endoscope high-light reflection and non-rigid deformation on depth estimation and feature extraction, improves the robustness and depth estimation accuracy of the monocular endoscope SLAM front-end perception, and can be applied to the scene of digestive tract three-dimensional reconstruction, endoscope surgery navigation and lesion positioning.

Apparatus and methods related to applying lighting models to images are provided. An example method includes receiving, via a computing device, an image comprising a subject. The method further includes relighting, via a neural network, a foreground of the image to maintain a consistent lighting of the foreground with a target illumination. The relighting is based on a per-pixel light representation indicative of a surface geometry of the foreground. The light representation includes a specular component, and a diffuse component, of surface reflection. The method additionally includes predicting, via the neural network, an output image comprising the subject in the relit foreground. One or more neural networks can be trained to perform one or more of the aforementioned aspects.

A display system includes a host, a storage module and a display module coupled to the host. The host includes a transmission interface. The host communicates with a database via the transmission interface. The storage module stores the ownership information of the digital data. The host accesses the digital data from the database according to the ownership information, and the display module displays the digital data. The display module includes a display panel and an optical structure layer disposed on the display panel. The glossiness of the optical structure layer is 4 GU-35 GU, and the specular component include reflectance is 3%-6%.

This invention discloses an anti-glare floating object detection method based on deep learning and image enhancement. To address the issues of strong reflections and local overexposure caused by direct sunlight in water surface monitoring scenarios such as rivers and reservoirs, leading to reduced contrast and missed detections of floating objects, as well as the problems of numerous false targets and unstable detection results caused by dynamic backgrounds such as water ripples, waves, and currents, this invention decomposes water surface image sequences into specular and diffuse reflection components to generate glare and overexposure masks. A diffusion repair network is used to repair and reconstruct overexposed areas of the diffuse reflection component. During instance segmentation, multi-scale features are weighted and suppressed based on the glare mask to reduce glare interference. Furthermore, a temporal mask propagation network is employed for cross-frame propagation and consistency correction, outputting the floating object instance outline and confidence level. This achieves improved detection accuracy, reduced false detections, and continuous and stable results for floating objects under strong glare and dynamic backgrounds.

The application discloses a three-dimensional virtual image expression animation generation method based on a real feeling rendering technology, and comprises the following steps: inputting a speech segment and a three-dimensional virtual image head grid model, driving the head grid model to deform by using a speech signal, and generating a three-dimensional virtual image grid model sequence corresponding to the speech signal and containing expressions; inputting a single face image, and generating a diffuse reflection map conforming to a topological structure of the three-dimensional virtual image head grid model; respectively acquiring a specular reflection component, a subsurface scattering component and a transmission component, and constructing a skin rendering model based on the specular reflection component, the subsurface scattering component and the transmission component; rendering the three-dimensional virtual image grid model sequence based on the skin rendering model, and outputting a three-dimensional virtual image expression animation sequence with a high real feeling skin effect. The application meets various needs in practical applications.

This invention discloses a method and system for specular highlight elimination based on metasurfaces, belonging to the field of optical 3D measurement technology. The specular highlight elimination method disclosed in this invention actively modulates the polarization state of the projected light field using a tunable metasurface device, maximizing the difference in polarization states between the specular and non-spectral components after reflection from the surface of the object being measured. Then, a polarizer at the imaging end filters out the specular component reflected from the mirror while ensuring no loss in the intensity of the non-spectral component, thereby achieving specular highlight elimination in optical 3D measurement and improving measurement accuracy. The pixel-by-pixel projection light field polarization state adaptive modulation method of this invention achieves specular highlight elimination without weakening the intensity of the non-spectral component, effectively solving the problem of decreased accuracy or even failure in optical 3D measurement of high dynamic range surfaces.

The application discloses an aesthetic plastic surgery auxiliary analysis method and system based on three-dimensional surface shape digital measurement, obtains a medical image data set, and adopts a Gaussian filtering algorithm to perform noise processing; if the difference between the pixel gray value and the neighborhood average value exceeds a preset threshold value, the noise point is determined and smoothed, and a first image data set is obtained; an energy function is constructed according to the first image data set; a defect area in the image is filled and repaired through the superposition calculation of a single-point energy item and an adjacent point interactive energy item, and a second image data set is obtained; point cloud data is extracted from the second image data set, a gradient field is constructed, and if the point cloud density is lower than a preset threshold value, local encryption processing is performed, and a three-dimensional face model is generated; the grid vertex coordinates and normal vector information of the three-dimensional face model are obtained, an environmental light component, a diffuse reflection component and a specular reflection component are fused through an illumination intensity calculation formula to generate a visual image, and the precision and efficiency of medical image processing and three-dimensional visualization are improved.