20 results about "Shadow mask" patented technology

This invention relates to the field of image sensing data processing and discloses a method for diagnosing the thermal environment of blue-green spaces in cold-region cities based on multispectral remote sensing. The method includes the following steps: acquiring multispectral remote sensing images, three-dimensional building elevations, and solar apparent shape parameters; calculating the illumination shading coefficient of blue-green space pixels to form a three-dimensional dynamic shadow mask; constructing a microscopic phase transition evolution operator using the sensitivity gradient of radiation intensity in different polarization directions and mid-infrared reflectivity; inputting the mask and operator into the thermal infrared radiation measurement equation to reconstruct the dynamic surface temperature; solving the surface energy balance equation based on the dynamic surface temperature, separating the latent heat storage of phase transition energy, and constructing a latent heat buffer index; and performing a comprehensive diagnosis of the thermal environment health based on this index. This invention effectively overcomes the temperature measurement errors caused by complex shading and phase state interweaving, accurately isolates the latent heat energy of phase transition, and achieves precise positioning and objective quantitative diagnosis of microclimate anomalies in cold-region cities.

The application discloses a calcified plaque recognition method based on intravascular ultrasound images and a storage medium. The method comprises the following steps: acquiring an intravascular ultrasound image training sample set, labeling a calcified region and a rear shadow region; constructing a U-shaped encoding and decoding segmentation network; calculating a composite loss function, which comprises a shadow consistency loss term; dividing the image into a fan-shaped region, using a differentiable calcified region rear edge detection module to construct an expected shadow mask, and taking the gray scale distribution difference between the expected shadow region and the real shadow label as the loss to guide the network to learn the physical constraint that the rear of the calcified region should be accompanied by a shadow; and inputting a to-be-recognized image into the trained network to obtain a recognition result. The application effectively suppresses the false detection of non-calcified high-light regions, introduces a shadow physical constraint, and the trained segmentation network can distinguish the true calcification as a high-light + shadow form, thereby being distinguished from other high-light structures, significantly reducing the false positive rate, and improving the accuracy and robustness of calcified plaque recognition.

Disclosed is a deposition apparatus which includes a first electrostatic chuck having an opening defined therein and including a plurality of first electrodes, a second electrostatic chuck that is disposed over the first electrostatic chuck and that includes a lower surface to which a substrate is attracted, and a shadow mask that is disposed between the first electrostatic chuck and the second electrostatic chuck and that includes a mask attracted to an upper surface of the first electrostatic chuck and a plurality of conductive patterns disposed on the mask. The plurality of conductive patterns overlap the plurality of first electrodes when viewed on a plane.

The application discloses a high-resolution satellite image urban area shadow-removed ARD production method and device, and belongs to the technical field of remote sensing image processing. The method comprises the following steps: firstly, screening out images covering urban areas; performing radiation calibration on high-resolution satellite images covering urban areas to obtain apparent radiance images; based on the apparent radiance images, performing preliminary shadow detection by using a pre-trained deep learning model; using a near-infrared band of an atmospheric-corrected ground reflectivity image, performing false detection elimination on the preliminary detection result by adaptive threshold segmentation to obtain a final shadow mask; performing histogram matching processing on the shadow area based on the shadow mask on the atmospheric-corrected ground reflectivity image to realize shadow removal; and finally, outputting the shadow-removed ARD product. The application significantly improves the shadow detection precision and the quantitative reliability of the ARD product, and is suitable for large-scale ARD production of high-resolution satellite images in urban areas.

A system, assembly and method of producing an integrated circuit is provided. A shadow mask is adhered to and aligned with a substrate. There is a shadow mask gasket interposed between the shadow mask and the substrate. A thin film material is deposited on the substrate, such as a silicon wafer, through the shadow mask and the shadow mask gasket. The thin film material that is deposited results in a thin film feature having a boundary with a vertical edge.

The application provides an X-band radar significant wave height inversion method based on Bayesian optimization and an adaptive threshold, comprising the following steps: acquiring an X-band radar image and preprocessing; defining a parameter space of a local window size and a false alarm probability, constructing a multi-dimensional shadow quality score function as an optimization objective function, and performing Bayesian iteration optimization to select an optimal parameter combination; calculating a threshold value of each pixel point through a local dynamic threshold value formula, generating a binary shadow mask based on the threshold value of each pixel point, and calculating an optimal shadow rate of the whole image; performing wave number spectrum analysis on the preprocessed X-band radar image, screening effective wave numbers through a wave number spectrum mask, calculating a sea wave root mean square wave steepness based on the optimal shadow rate, and combining the zero-crossing period to calculate the significant wave height. The method realizes high-precision and adaptive significant wave height inversion without the support of buoys.

This invention relates to the fields of image processing and computer vision technology, specifically disclosing a maskless image shadow removal method based on illumination-guided dual-stream Mamba. The method includes: passing the shadow image through a feature encoder, and then, based on Retinex theory, obtaining illumination flow features and reflectance flow features through a feature decoupling mapping operator; passing the illumination flow features through an illumination prior Mamba module to obtain illumination prior features; inputting the reflectance flow features and illumination prior features into an illumination-guided reflectance Mamba module to obtain a reflectance feature representation under illumination prior constraints; and inputting the illumination prior features and reflectance feature representation into a decoder to obtain a shadow-free image. This invention, by explicitly introducing illumination physical priors and reconstructing the feature sequence organization, achieves differentiated modeling of shadow and non-shadow regions without relying on shadow masks, significantly improving the structural consistency and color fidelity of the shadow removal results.

A system, assembly and method of producing an integrated circuit is provided. A shadow mask is adhered to and aligned with a substrate. There is a shadow mask gasket interposed between the shadow mask and the substrate. A thin film material is deposited on the substrate, such as a silicon wafer, through the shadow mask and the shadow mask gasket. The thin film material that is deposited results in a thin film feature having a boundary with a vertical edge.

A spray coating apparatus for coating a portion of a glass object is provided that includes a coating material source; a spray nozzle assembly with a spray nozzle fluidly connected to the coating material source and arranged to direct the coating material in a first direction toward the glass object; and a shadow mask disposed between the glass object and the spray nozzle. The shadow mask includes a masking material at a first masking position in a line of sight between a window portion of the glass object and the spray nozzle. The masking material blocks the coating material from depositing on the window portion of the glass object. The shadow mask also includes a masking material at lateral masking positions on lateral sides of the first masking position to prevent overspray of the coating material from being redirected around the shadow mask and onto the glass object.

Provided are a fluorinated compound for patterning a metal or an electrode (cathode), an organic electronic element using the same, and an electronic device thereof, wherein by using the fluorinated compound as a material for patterning a metal or an electrode (cathode), it is possible to form a fine pattern of the electrode without using a shadow mask, since it is easy to manufacture a transparent display having high light transmittance, it is possible to more easily apply UDC.

An eye tracker comprises a shadow mask, a light emitting element, and a detection region at a first side of the shadow mask. The light emitting element emits electromagnetic radiation towards an eye arranged at a second side of the shadow mask, which comprises portions that are transparent for the electromagnetic radiation and portions that are opaque for the electromagnetic radiation, the transparent portions having a maximum width measured in a first horizontal direction. The detection region comprises a pixel array and is configured to receive electromagnetic radiation emitted by the light emitting element, reflected by a cornea of the eye, and transmitted by the shadow mask. A maximum distance PS between adjacent pixels and the maximum width wA of the transparent portions satisfy the following formula:0.9*wA≤PS≤125*wA,the maximum distance between adjacent pixels being measured in the first horizontal direction.

The present application relates to a kind of evaporation device and electronic device.It can be, evaporation device includes: first electrostatic chuck, opening portion is defined with, and include multiple first electrode;Second electrostatic chuck, be configured on the first electrostatic chuck and include the lower surface of adsorbing substrate;And shadow mask, be configured between the first electrostatic chuck and the second electrostatic chuck, and include the mask of adsorbing on the upper surface of the first electrostatic chuck and multiple conductive patterns configured on the mask, when observing in plane, the conductive pattern overlaps with the first electrode.

The application discloses a block-based frame extrapolation method and a program product, and the method comprises the following steps: constructing a demodulation irradiance based on a rendered image frame at a reference time, and acquiring a geometry buffer, a motion template buffer and a shadow buffer at the reference time; generating a geometry mask and a shadow mask at a target time based on the motion template buffer and the shadow buffer; performing adaptive frame warping on the demodulation irradiance by using the geometry mask at the target time to obtain an adaptive warping result; dividing the adaptive warping result, the geometry buffer and the geometry mask into a plurality of blocks, and selecting blocks with a coverage ratio of the geometry mask greater than a threshold and storing the blocks in a corresponding selected block set; performing parallel inference on the selected block set to obtain a block-level residual result, and backfilling the residual result to obtain a repaired demodulation irradiance; performing re-shading on a shadow mask coverage area, and synthesizing a prediction frame by combining the re-shading result with the repaired demodulation irradiance. The application has high running efficiency and low resource consumption.

The present disclosure provides a system and method for detecting and classifying shadows in a physical environment. The system includes one or more processors and a memory storing executable instructions. The system receives an image of a physical environment from one or more sensors of a user device, generates a depth map of the environment, and detects one or more shadow regions using a trained shadow detection model. The system classifies the image as a first or second shadow-type scene based on a generated shadow mask and the depth map. The system analyses light-ray distribution applies mathematical or HDRI-based estimation for light parameters, and maintains temporal coherence across sequential frames. The system outputs scene-classification data that triggers selection of a rendering or harmonization pipeline to ensure accurate lighting adaptation in mixed-reality environments.

This invention provides a generative data augmentation method for industrial anomaly detection based on light and shadow decoupling and edge constraints. First, a generative model generates light and shadow components aligned with the geometric topology of the original image. These components are then superimposed back onto the original image based on intrinsic image decomposition theory, rather than directly generating a complete target image. Spatial constraint protection is introduced by extracting the edge contours of the original image as hard constraint inputs, forcing the latent diffusion model to perform light and shadow rendering within a specific topological range, thereby ensuring that the generated shadow mask accurately matches the original geometry of the component. Differentiated optical fusion strategies are employed for different industrial simulation scenarios, matching specific optical mixing functions according to the illumination type. This invention, employing the aforementioned generative data augmentation method for industrial anomaly detection based on light and shadow decoupling and edge constraints, completely eliminates feature drift and structural illusions, significantly improving detection accuracy under complex lighting conditions.

An eye tracker comprises a shadow mask, a light emitting element, and a detection region at a first side of the shadow mask. The light emitting element emits electromagnetic radiation towards an eye arranged at a second side of the shadow mask, which comprises portions that are transparent for the electromagnetic radiation and portions that are opaque for the electromagnetic radiation, the transparent portions having a maximum width measured in a first horizontal direction. The detection region comprises a pixel array and is configured to receive electromagnetic radiation emitted by the light emitting element, reflected by a cornea of the eye, and transmitted by the shadow mask. A maximum distance PS between adjacent pixels and the maximum width wA of the transparent portions satisfy the following formula:0.9*wA≤PS≤1.25*wA,the maximum distance between adjacent pixels being measured in the first horizontal direction.

A rendering method, including: based on information about a plurality of lights included in a rendered scene corresponding to a view associated with a camera, classifying the plurality of lights according to a plurality of light types; generating an input texture corresponding to each light type from among the plurality of light types; generating a shadow mask configured to reduce shadow noise included in a shadow corresponding to each light type by applying the input texture to a neural network model; and reducing the shadow noise from the rendered scene using the shadow mask.

This invention provides a method, apparatus, device, and medium for creating generative model data pairs based on pixel comparison. The method includes: acquiring an original image and an object mask image; filling the object region with a solid magenta color and inputting it into an image object elimination model to output a preliminary elimination result image; unifying the resolution of the original image and the elimination result image; calculating the three-channel difference value of the two images pixel by pixel, and generating an initial variable mask based on a threshold T; performing a morphological opening operation on the initial variable mask to generate an optimized variable mask; identifying regions connected to the object region and with an area greater than a first threshold from the optimized variable mask as shadow masks; generating a noise mask; calculating the interference ratio and the maximum noise area; if the interference ratio is greater than a second threshold or the maximum noise area is greater than a third threshold, it is judged as an abnormal result and discarded; otherwise, the original image and the elimination result image are stored as valid data pairs; thus, the output results of the generative model are filtered, improving the efficiency of data pair construction.