15 results about "Edge filter" patented technology

The invention relates to a testing device for optically checking objects for authenticity, in particular for checking whether objects have a predetermined, machine-readable code-encompassing security marking with known fluorescence properties. The test device includes a lighting unit designed and arranged to illuminate an object to be tested with electromagnetic radiation - preferably light visible to the human eye - in a first, fluorescence-stimulating wavelength range. The test device comprises an area sensor with a plurality of light-sensitive sensor elements and an imaging optic which is designed and arranged to project an image of an object onto the area sensor, wherein the area sensor is designed to output an image signal representing an image projected onto the area sensor. The imaging optics comprise an optical filter in the form of a high-pass or low-pass filter, in particular an edge filter, which is configured to block electromagnetic radiation in the first, fluorescence-exciting wavelength range, in particular to absorb it, and to transmit light in a second wavelength range, wherein the second wavelength range comprises wavelengths corresponding to expected fluorescence and wherein the second wavelength range does not overlap with the first wavelength range. The test device is designed to detect the insertion of an object, to check images of the object represented by image signals from the area sensor, and to reject an object if one or more test criteria are not met, or to accept it if the test criterion(s) are not met. The testing device is further designed to identify a security marking on an object and to test a found security marking with regard to its fluorescence properties.

The embodiment of the present application discloses an infrared image multi-edge filtering denoising method for suppressing salt and pepper noise and keeping weak edge details. The method comprises the following steps: acquiring original data of an infrared image; correcting the original data of the infrared image to obtain corrected data; calculating a salt and pepper noise suppression parameter; calculating a weak edge detail keeping weight; performing multi-edge filtering on the corrected data by using the salt and pepper noise suppression parameter and the weak edge detail keeping weight to obtain a filtering result; and outputting the filtering result. By implementing the method of the embodiment of the present application, the interference of salt and pepper noise can be effectively suppressed, and the method is superior to bilateral filtering denoising in keeping weak edge details, has a short calculation time, and is strong in real-time performance.

View-invariant edge filtering is provided. In one or more implementations, view-invariant edge filtering may provide anti-aliasing that is effective in reducing or eliminating perceivable aliasing across various different viewing configurations of display content, including foveated rendering configurations and / or viewing configurations in which display content is moveable and rotatable in three virtual dimensions.

An embolic protection device includes a frame, an edge filter screen, and a plurality of supporting rods that are arranged at intervals. Each supporting rod includes a first tail end, a second tail end, and at least one head end that faces a distal end. The first tail end and the second tail end are separately connected to two opposite sides of the frame. The first tail end and the second tail end separately form a first line segment and a second line segment with the head end. The first line segment extends in a direction from the first tail end to the head end and gradually moves away from the frame, and the second line segment extends in a direction from the second tail end to the head end and gradually moves away from the frame.

The utility model is suitable for mould head technical field provides mould head quick screen change self -cleaning device, its mould head body has through installation chamber, built -in coaxial fixed installation carrier, and the carrier side wall opens two groups of parallel limit guide slot, main filter screen, spare filter screen sliding fit among them, all are board -like and with guide rail contact; The mould head body top is equipped with electric push rod, and the movable rod is connected with the receiving plate, and the receiving plate both sides extend fixed block, its abutting face fixed heating type blow head, this device is equipped with main, spare filter screen in installation carrier, and the main filter screen can quickly use the spare filter screen when it is out of order, guarantees the continuous stability of production, avoids single filter screen damage and causes production stagnation, quality fluctuation, and can clean different side edge filter screen flexibly, simplifies the impurity cleaning procedure, improves the cleaning efficiency, reduces the operator's burden, and improves the equipment maintenance efficiency.

The application relates to the technical field of intelligent inspection, in particular to a data center robot inspection scheduling system based on AI, which comprises a multi-modal sensing and collecting module for acquiring environment point clouds and visual images, an edge filtering and preliminary judgment module for generating positioning coordinates and extracting abnormal signals by using a filtering algorithm, a heterogeneous collaborative scheduling module for scheduling heterogeneous robots to perform re-inspection based on the abnormal signals, and a twin mapping and closed loop module for updating a twin model and generating a treatment work order.In the application, a heterogeneous robot collaborative architecture is constructed, the complementary advantages of wheeled and track robots are utilized to realize global coverage, a multi-sensor filtering fusion algorithm is adopted to suppress signal noise, and an edge computing and cloud linkage mechanism is combined to realize millisecond-level preliminary judgment of faults and automatic relay across devices, so that the operation and maintenance response speed and decision accuracy are improved.

The application relates to a touch position determination method and device, computer equipment, a touch device, a storage medium and a computer program product. The method comprises the following steps: acquiring touch position information corresponding to a touch operation; determining a current edge filter coefficient corresponding to the touch position information; determining a target filter coefficient of the touch position information according to an overall filter coefficient of a touch area and the current edge filter coefficient; the overall filter coefficient is a filter coefficient corresponding to the touch area; and performing a filter operation on the touch position information by using the target filter coefficient to obtain updated touch position information. The touch operation effect can be improved by using the method.

The invention discloses a temperature difference compensation method and system for an edge filtering strain sensor, and the method comprises the steps: transmitting a light beam through an ASE light source, filtering the light beam through an intelligent filtering unit, and outputting a linearly and dynamically adjusted light signal; an optical signal is divided into three paths of equal optical signals through an optical fiber coupler, and the three paths of equal optical signals are respectively input into a three-grating sensing array to obtain a three-grating reflection optical signal; the three-grating reflection signals are converted into electric signals through a three-channel photoelectric detection array, and the electric signals of the three channels are synchronously acquired through an acquisition unit; preprocessing the acquired electric signals of the three channels to obtain calibrated signal increments of the three channels; and outputting accurate strain data through dynamic differential operation and multi-dimensional calibration. According to the temperature difference compensation method and system of the edge filtering strain sensor, strain signals and temperature interference are efficiently separated, and the application limitation of a traditional static compensation scheme is broken through.

A system and method are described that dynamically alter hierarchical data structures displayed on a user interface. The system accesses data associated with a plurality of assets, each having a value and binary attributes, and constructs a directed graph comprising vertices and edges based on those attributes. An active core of the graph is determined by analyzing vertex values and selecting a subset of vertices and edges in accordance with user input. The display is updated to reflect the active core, and edge filters and edge score evaluations (ESEs) are applied to refine the selected edges for inclusion. The transitive edge removal policy (TERP) ensures that undesired transitive edges are removed from the structure. The display dynamically updates over time to reflect changes in the underlying data, enabling users to interact with and modify the graph structure based on new insights and changing conditions.

A filter holding device includes an opening portion and a filter. The opening portion communicates an inside of the filter holding device with an outside of the filter holding device, and has a rim that extends in a communication direction from the inside of the filter holding device toward the outside of the filter holding device. The filter is disposed in the opening portion, and has a first side and a second side. The first side faces the inside of the filter holding device. The second side faces the outside of the filter holding device. The filter has a larger weight density per unit volume at the second side facing the outside of the filter holding device than at the first side facing the inside of the filter holding device in a state in which the filter is disposed in the opening portion.

The application discloses a low-illumination image denoising method based on phase correlation, which comprises the following steps: extracting image edge information, performing edge filtering on each frame of image to extract effective edge information of the image; performing edge filtering on two adjacent frames of image, performing phase correlation operation on the two frames of image after filtering to obtain displacement of the two frames of image; performing homologous signal constraint and global correlation constraint on the multiple frames of image after registration to construct cross-correlation equation; solving the cross-correlation equation according to cross-correlation maximization optimization equation and gradient maximization equation, and retaining the solution of the current frame to realize iterative update of the denoised image in the cross-correlation equation of the next frame. The application can effectively remove various noises of the low-illumination image under the low-illumination scene while considering the calculation speed and algorithm stability, restores the real scene, makes the scene clear, and enhances the details.

The invention discloses a hardware implementation method of a time-space domain filtering system combined with image information. The hardware implementation method comprises the following steps: preprocessing an image by adopting downsampling layering and upsampling phase difference; processing the data stream of each layer of original image preprocessing graph in a pipeline form to obtain four-direction edge filtering image video stream data; performing read-write processing on each layer of filtered image video stream data to obtain multi-frame image cache data; performing motion compensation denoising on each layer of filtered image in a time domain; performing kernel convolution on the data video stream after motion compensation denoising through a bilinear interpolation formula in a pipeline form to obtain image data recovered to an original resolution, and fusing video stream data of each layer; and processing the fused image data in an assembly line form to obtain image video stream data after spatial domain processing. According to the method, the detail information in the image is reserved as much as possible while the image noise is suppressed, and the moving target trailing phenomenon in the image scene is effectively suppressed under the condition of the moving scene.

The invention discloses a collaborative defense and attack behavior cognition method for a multi-robot system, and the method comprises the steps: obtaining the suspicious traffic intensity of each robot defense node, and constructing a collaborative filtering architecture; defining an edge / cloud shunting proportion for each defense node, establishing an edge filtering time delay model and an individual filtering cost function, modeling a collaborative filtering process under multi-node resource sharing into a selfish filtering game, and utilizing a load balancing property of edge filtering time delay consistency under balance to obtain a cloud filtering game; designing a distributed iterative algorithm to solve a unique Nash equilibrium shunting strategy in limited iteration; and constructing an optimal model of the attacker budget constraint under the defense balance strategy to solve an optimal attack strategy for performing cognitive prediction and early warning on the attack intensity, the target preference and the attack type. According to the invention, the autonomous decision-making capability of the multi-robot system in a complex confrontation environment can be improved. The method can be widely applied to the technical field of multi-robot cooperative control.

A framework for a few-shot learning method is disclosed. In a first part, self-supervision and classification supervision are used to train a feature extractor. An example self-supervision method comprises running grayscale images through an edge filter, normalizing the filtered images, setting the normalized images to ground truth, generating feature-extracted images, using a decoder to reconstruct images from the feature-extracted images, determining a loss between the reconstructed images and the ground truth images, and using the loss to update parameters of the feature extractor. In a second part, a few-shot adaptation process is performed to adapt the model to a novel rapid test kit.

The invention provides an internet content security filtering method and system based on edge computing, and the method comprises the steps: obtaining a real-time content data flow from user access flow through a preset module disposed at a network edge device, and obtaining a preliminarily classified content fragment sequence; carrying out feature extraction by adopting an edge filtering algorithm according to the preliminarily classified content fragment sequence, and determining a distribution mode of potential harmful information; if the distribution mode of the potential harmful information exceeds a preset threshold value, local optimization of a content recognition algorithm is executed for the distribution mode, and a refined risk assessment score is obtained; obtaining a high-risk fragment subset from the refined risk assessment score, and judging whether the subset meets a blocking condition or not; performing data isolation processing on the high-risk fragment subset through the judged blocking condition to obtain an isolated security content stream; and comparing and fusing the isolated secure content stream with the original flow, and determining a final filtering output sequence.