54 results about "Edge filter" patented technology

The invention discloses a phase unwrapping method and device based on Poisson correction, terminal equipment and a storage medium, and relates to the field of interferometry, and the method comprises the steps: obtaining a to-be-processed interferometric phase diagram of a target position, and inputting the to-be-processed interferometric phase diagram into a winding number prediction model to generate a predicted winding number; according to the predicted winding number, calculating a winding number gradient, and performing lower edge filtering correction to obtain a corrected winding number gradient; performing discrete Fourier transform on the corrected horizontal component of the winding number gradient to obtain a first frequency domain transform result; carrying out Laplace operator calculation on the corrected winding number gradient and then carrying out discrete Fourier transform to obtain a second frequency domain transform result; performing inverse discrete Fourier transform on a result obtained by dividing the sum of the two frequency domain transform results by a preset frequency domain adjustment factor to obtain an error winding number; and determining a real phase according to the predicted winding number and the error winding number, and further calculating the actual elevation of the target position. According to the invention, the accuracy of phase unwrapping can be improved.

The invention relates to the field of image processing, in particular to a visual image processing method and device, equipment and a program product. The method comprises the following steps: acquiring a binocular image, and generating a first disparity map through a stereo matching network; obtaining a second disparity map through extreme value filtering; generating an edge mask through edge detection; performing edge filtering on the second disparity map according to the edge mask to obtain a third disparity map; and horizontal displacement is obtained according to a parallax value in the third parallax image, parameters are calibrated through a camera, the horizontal displacement is converted into depth information, and a three-dimensional point cloud is generated according to the positions of the pixel points and the depth information. According to the method, a real boundary is extracted through edge filtering, parallax of a boundary area is forcibly corrected by using an edge mask, a transition zone of network prediction is suppressed, burrs or outliers of point clouds after conversion can be effectively reduced, scattered point cloud noise is eliminated, the object contour boundary is clearer, and the perception precision of a visual system is improved.

According to the optical metasurface filter and method for tunable edge directional enhancement, the angle of the metasurface can be rotated in a simple mechanical tuning mode, tuning of the edge enhancement direction of an amplitude or phase sample is achieved, edge filtering in different directions is achieved in an efficient and compact mode, and the optical metasurface filter and method have the advantage of chip-level ultrafast optical calculation. The invention discloses a polarization-sensitive vertical edge detection filter which is constructed by a metasurface and an optical 4F system. The metasurface (10) comprises an amorphous silicon cuboid nano brick unit (1) and a silicon dioxide substrate (2), each amorphous silicon cuboid nano brick unit has a fixed square lattice constant Px = Py = 300nm, a height H = 365nm and designed L = 129nm and W = 90nm, and the amorphous silicon cuboid nano brick units are periodically arranged on the silicon dioxide substrate; the phase is changed by changing the orientation angle theta of the amorphous silicon cuboid nano brick unit, and required phase distribution is completed.

The invention discloses a graph-enhanced social robot detection method and device based on reinforcement learning, and the method comprises the steps: 1, extracting metadata information and text information of a user in a social network through a multi-layer perceptron and a pre-training language model, carrying out the feature fusion of the information through a multi-head self-attention mechanism, and generating user representation; 2, performing oversampling on minority class nodes in a potential feature space by using a linear interpolation method based on neighborhood perception, and constructing a balanced training sample set; 3, dynamically adjusting an edge retention threshold value based on the feature similarity and a reinforcement learning strategy, and executing an edge filtering operation to eliminate unreliable connection and optimize a graph structure; and 4, inputting the enhanced node features and the purified graph structure into a graph neural network classifier to realize accurate identification of the social robot nodes. According to the method, the problem of misjudgment caused by class imbalance can be effectively relieved, and the detection accuracy and stability are remarkably improved.

The present invention provides a method and system for detecting defects in automotive lamp lenses based on traditional image processing, belonging to the field of industrial intelligent production inspection technology. The method includes the steps of detecting clutter and debris. Clutter detection involves collecting an original image of the lampshade surface and preprocessing it to obtain a ROI image; adaptively processing the ROI image to determine whether a pixel value greater than a set threshold determines whether clutter exists; and debris detection involves extracting horizontal, vertical, and left and right 45° gradient information from the ROI image, performing binary segmentation on the filtered gradient information using an adaptive threshold to obtain the sixth, seventh, eleventh, and twelfth images, respectively; performing a sum operation on these images to form a final binary image to obtain the fourteenth image; performing edge filtering on the fourteenth image using a custom mask; and determining whether debris exists by calculating the area of ​​each highlighted block in the image. This method effectively improves data processing efficiency and detection accuracy.

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 invention discloses a fiber bragg grating demodulation system based on an edge filter. The system comprises a fiber bragg grating hardware unit and a fiber bragg grating hardware circuit unit connected with the fiber bragg grating hardware unit. The fiber grating hardware unit is provided with an edge filter; the fiber bragg grating hardware unit is used for collecting an optical signal with external temperature information and carrying out wavelength selection on the optical signal with the external temperature information so as to obtain a filtered optical signal; and the fiber grating hardware circuit unit is used for performing photoelectric signal conversion on the filtered optical signal to obtain an electric signal with external temperature information, performing amplification filtering and analog-to-digital conversion on the electric signal with the external temperature information to obtain an external temperature digital signal, and storing the external temperature digital signal. According to the invention, the temperature of the FBG sensor can be measured under different working conditions, and the accuracy of the obtained external temperature digital signal is improved.

The utility model discloses a multi-folding-edge filter element which comprises a filter element whole body, the filter element whole body is provided with a plurality of folding assemblies, the plurality of folding assemblies are formed by folding filter paper, the filter paper is circumferentially surrounded and fixed to form the filter element after being folded, each folding assembly comprises a first folding surface which is folded from outside to the center, and the first folding surfaces are symmetrically arranged; two symmetrical first V-shaped surfaces are folded towards the center of the filter element between the outer ends of the first folding surfaces, a second V-shaped surface is folded towards the outer side of the filter element in the middle of the inner end of each first folding surface, the depths of the first V-shaped surfaces and the second V-shaped surfaces are the same, the folding assemblies form the whole filter element, the contact surface of the whole filter element is 1.5 times more than that of a traditional filter element, and the filtering effect is enhanced.

A Signal-Agnostic Apparatus, System, and Method for Doppler Correction. In one embodiment, for the correction of significant Doppler shifts such as those present in signal transmissions involving satellites in low-earth orbit. The frequency locked loop apparatus and system for correcting Doppler frequency offset comprising an amplitude normalizer, a positive, a negative frequency band edge filter having a plurality of negative band edge coefficients, a positive or negative frequency content filter output for calculating a raw Doppler frequency offset, a leaky integrator, a zero-crossing counter, a plurality of locking filters, a plurality of tracking filters, an array, and a numerically controlled oscillator.

The utility model discloses a structure for preventing the surface of an inner rolloff filter shell from cracking, which comprises a filter shell, an upper cover plate and a spiral plate, a sealing structure is formed between the shell and the upper cover plate through rolloff, the spiral plate is round, the inner side of the round edge of the spiral plate is made into an inclined plane and is provided with a round chamfer, and the included angle between the inclined plane and the horizontal plane is 8-10 degrees. As the inner side and the outer side of the edge of the screw plate adopt the chamfer structures, the stress distribution of the edge of the screw plate and the shell is improved, the shell at the contact part is uniformly stressed, meanwhile, the outer diameter of the screw plate is in clearance 0 fit with the inner diameter of the shell, and the space between the outer diameter of the screw plate and the inner diameter of the shell is filled with curing glue and is jointed. Therefore, the contact surface between the screw plate and the shell is fully sealed, and the oil leakage phenomenon is avoided; and meanwhile, the stress on the contact surface of the shell and the screw plate is reduced, and the shell is ensured not to crack. Therefore, the yield of products is improved.

The present invention relates to the field of power line carrier communication technology, and specifically provides a power line carrier signal channel estimation method and device based on OFDM. The method includes obtaining initial channel estimation values corresponding to multiple subcarriers based on a target signal of a target channel; performing edge filtering on the initial channel estimation values corresponding to the target subcarriers based on the initial channel estimation values corresponding to the target subcarriers and adjacent initial estimation values to obtain denoised channel estimation values corresponding to the target subcarriers; wherein the target subcarriers are at least part of the multiple subcarriers, the adjacent initial estimation values are initial channel estimation values corresponding to the adjacent subcarriers, and the adjacent subcarriers are subcarriers adjacent to the target subcarriers; and obtaining a channel estimation sequence of the target channel based on the denoised channel estimation values corresponding to the target subcarriers. The present invention effectively improves the accuracy and robustness of the channel estimation results through edge filtering.

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.

The invention relates to the technical field of fiber bragg grating sensors, and discloses a fiber bragg grating central wavelength demodulation system based on edge filtering, which comprises an MG-Y tunable semiconductor laser, a first-stage optical splitter, a second-stage optical splitter and a fiber bragg grating sensor. The MG-Y tunable semiconductor laser is connected with a first-stage optical splitter, the first-stage optical splitter is connected with a plurality of second-stage optical splitters, each second-stage optical splitter is sequentially connected with a plurality of fiber grating sensors, each second-stage optical splitter is connected with a photodiode, each photodiode is connected with an amplification circuit, and the amplification circuit is connected with a plurality of optical fiber grating sensors. Each amplification circuit is connected with one ADC chip, and the ADC chips are connected with the master control FPGA / single-chip microcomputer. In a system for grating demodulation based on the MG-Y scanning laser, full-wave band scanning and local scanning are combined, large-step coarse scanning and small-step accurate scanning are combined, the demodulation speed and the demodulation precision are improved, the speed requirement of an analog chip is reduced, and therefore the cost is reduced.

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.

An indication of one or more weighting parameters is determined for use in applying upsampling to input pixel values representing an image region to determine a block of one or more upsampled pixel values. A horizontal edge filter determines a first filtered value. A vertical edge filter determines a second filtered value. A horizontal line filter determines a third filtered value. A vertical line filter determines a fourth filtered value. The first, second, third and fourth filtered values are used to determine the indication of one or more weighting parameters, wherein the one or more weighting parameters are indicative of relative horizontal and vertical variation of the input pixel values within the image region. The determined indication of the one or more weighting parameters is output for use in applying upsampling to the input pixel values representing the image region to determine a block of one or more upsampled pixel values.

The invention relates to the technical field of electric power detection, in particular to an inverse piezoelectric optical voltage-temperature two-parameter measurement method. S1, obtaining a spectrum provided by a broadband laser source through a Gaussian equation; s2, receiving the spectrum of the broadband laser source through a voltage sensor; and S3, setting an FBG1 and an FBG2, simplifying the reflectivity of the FBG through a Gaussian equation, and calculating the reflectivity of the FBG in the FBG1 and the FBG2. According to the inverse piezoelectric optical voltage-temperature two-parameter measurement method provided by the invention, the voltage parameter and the temperature parameter are respectively obtained based on a double-grating demodulation and edge filtering mode of an inverse piezoelectric optical effect, so that simultaneous measurement of the voltage-temperature parameter is realized; the sensor has the characteristics of simple operation, strong passive anti-electromagnetic interference capability, guarantee of the working stability of the sensor, and no need of adding extra equipment or cost.

The invention relates to the technical field of signal filtering, and discloses a filtering circuit and an MCU, and the filtering circuit comprises a rising edge filtering unit, a falling edge filtering unit and a signal output unit. The signal input end of the rising edge filtering unit is electrically connected with the signal input end of the falling edge filtering unit; in actual use, the rising edge filtering unit is used for filtering glitch signals of the rising edge and filtering high-level signals within the first preset time T1, and the falling edge filtering unit is used for filtering glitch signals of the falling edge and filtering low-level signals within the second preset time T2. And the output signal is recovered through the signal output unit, so that the rising edge burr signal and the falling edge burr signal can be filtered at the same time.

Weighted parameters are used to apply up-sampling. Methods and processing modules are provided for determining an indication of one or more weighting parameters for applying up-sampling to input pixel values representing an image region to determine a block of one or more up-sampled pixel values. A horizontal edge filter is applied to two or more of the input pixel values to determine a first filtered value. A vertical edge filter is applied to two or more of the input pixel values to determine a second filtered value. A horizontal line filter is applied to three or more of the input pixel values to determine a third filtered value. A vertical line filter is applied to three or more of the input pixel values to determine a fourth filtered value. An indication of one or more weighting parameters is determined using the first filtered value, the second filtered value, the third filtered value, and the fourth filtered value, where the one or more weighting parameters indicate relative horizontal and vertical variations in the input pixel values within the image region.

The invention relates to the technical field of power line carrier communication, and particularly provides a power line carrier signal channel estimation method and device based on OFDM, and the method comprises the steps: obtaining initial channel estimation values corresponding to a plurality of subcarriers according to a target signal of a target channel; performing edge filtering processing on the initial channel estimation value corresponding to the target subcarrier according to the initial channel estimation value corresponding to the target subcarrier and the adjacent initial estimation value to obtain a de-noising channel estimation value corresponding to the target subcarrier; wherein the target subcarrier is at least part of the plurality of subcarriers, the adjacent initial estimation value is an initial channel estimation value corresponding to the adjacent subcarrier, and the adjacent subcarrier is a subcarrier adjacent to the target subcarrier; and obtaining a channel estimation sequence of the target channel according to the de-noising channel estimation value corresponding to the target subcarrier. According to the invention, through edge filtering processing, the precision and robustness of a channel estimation result are effectively improved.

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 invention discloses an image enhancement compression method, a transmission method and corresponding devices, and belongs to the technical field of image processing. The compression method comprises the steps of performing guided filtering on a target image, and decomposing the target image into a base layer and a detail layer; performing histogram equalization processing on the base layer, and performing edge filtering denoising and detail enhancement processing on the detail layer; performing linear fusion on the processed base layer and the processed detail layer to obtain a to-be-predicted image; segmenting the to-be-predicted image into macro blocks with a preset size; loading a macro block, and carrying out gradient intra-frame prediction and transformation quantization according to a scanning sequence and a prediction mode; and entropy coding is carried out on the transformed and quantized coefficient to obtain a compressed image. According to the method, image quality can be guaranteed, the data size of the dynamic infrared image is reduced, the utilization rate of transmission bandwidth is improved, and real-time transmission of infrared telemetering is realized.

The present invention relates to the field of cloud-edge collaboration technology, and in particular to an edge computing cloud-edge collaboration method, system and device. The present invention obtains real-time monitoring videos shot by each AI camera in a single target area, and divides them into valid video segments and invalid video segments. The valid video segments are divided into explicit clear frame groups and implicit clear frame groups according to the clarity, and the method for obtaining target information is determined according to the clear frame group category. The edge filtering module receives the target information of the explicit clear frame group and the clear enhanced frame group, determines all the target information of a single valid video segment according to the time relationship, and filters it to generate valid target information, and determines the traffic information of each time period according to the valid target information. The present invention reduces the dependence on cloud resources through cloud-edge collaboration and decentralization of the cloud, and realizes the optimal allocation of resources.

The utility model relates to the technical field of switch cabinets, and discloses a switch cabinet with a covered edge filtering device, which comprises a main body assembly, a protection cabinet, a controller and a fixing sleeve, the controller is arranged on one side of the protection cabinet, and the fixing sleeve is fixed in the protection cabinet; the fixing assembly is arranged in the fixing sleeve and comprises a fixing piece and a limiting piece, the fixing piece is arranged in the fixing sleeve, and the limiting piece is located on one side of the fixing piece. The beneficial effects of the utility model are that through the arrangement of the fixing assembly, when the filtering device of the switch cabinet needs to be dismounted or mounted, the filtering device can be rapidly dismounted or mounted through the mutual cooperation of the fixing block and the fixing plate.

The invention relates to the technical field of vibration detection, in particular to a locomotive vibration performance evaluation method and system based on locomotive magnitude traceability, and the method comprises the steps: obtaining reference light and measurement light; modulating the measurement light according to the pulse modulation signal by using an acousto-optic modulator to obtain measurement pulse light; calculating a reverse signal of the sound signal, and driving a piezoelectric driver to vibrate the detection optical fiber; measuring pulse light is guided into a detection optical fiber, a back Rayleigh signal generated by the measuring pulse light in the detection optical fiber is guided out, and an environment sound resisting back Rayleigh signal is obtained; performing guided edge filtering detection on the confrontation environment sound back Rayleigh signal to obtain a filtered back Rayleigh signal; coupling the filtered back Rayleigh signal and the reference light to obtain an electric signal; and converting the electric signal into a vibration frequency signal by using an IQ demodulator, evaluating by using an evaluation model, and evaluating the health condition of the vehicle according to the vibration frequency signal. The accuracy of locomotive vibration performance evaluation can be improved.

The present invention relates to the field of vibration detection technology, and includes a locomotive vibration performance assessment method and system based on locomotive measurement traceability, comprising the following steps: obtaining reference light and measurement light; modulating the measurement light according to a pulse modulation signal using an acousto-optic modulator to obtain a measurement pulse light; calculating a reverse signal of the sound signal to drive a piezoelectric driver to vibrate a detection optical fiber; directing the measurement pulse light into the detection optical fiber, deriving a back-Rayleigh signal generated by the measurement pulse light in the detection optical fiber, and obtaining an anti-ambient sound back-Rayleigh signal; performing guided edge filtering on the anti-ambient sound back-Rayleigh signal to obtain a filtered back-Rayleigh signal; coupling the filtered back-Rayleigh signal with the reference light to obtain an electrical signal; converting the electrical signal into a vibration frequency signal using an IQ demodulator, evaluating the signal using an assessment model, and assessing the vehicle health status based on the vibration frequency signal. The present invention can improve the accuracy of locomotive vibration performance assessment.

The invention provides a cross-domain data feature extraction method and device, equipment and a storage medium, and the method comprises the steps: obtaining multi-modal cross-domain data; representing the cross-domain data of each mode, and carrying out feature extraction on the represented cross-domain data to obtain reference feature information; constructing an initial graph structure based on the cross-domain data and the reference feature information; carrying out edge screening on the initial graph structure based on the similarity between the nodes in the initial graph structure to obtain an information distribution graph; and performing feature extraction on the information distribution map based on a pre-trained map neural network model to obtain fusion feature data. Through the technical scheme of the invention, feature extraction can be quickly and effectively carried out on multi-modal cross-domain data.

The present invention discloses a depth map optimization processing method, intelligent terminal, and storage medium. The method comprises: obtaining an original depth map, performing hole filling, preliminary guided filtering, and preliminary smoothing on the original depth map to obtain a preliminary depth map; performing edge filtering on the preliminary depth map to obtain an intermediate depth map; and performing further smoothing and median filtering on the intermediate depth map to obtain an optimized depth map. By performing two filtering and two smoothing operations on the depth map, the present invention ensures the integrity of depth edges and avoids leaking and false blurring in the image blurring effect.

The present disclosure discloses methods and systems for adding security patterns in a document submitted at a multi-function device. The method includes receiving the document at the multi-function device from a user, wherein the document includes at least textual content. Further, the method includes obtaining stamping information, wherein the stamping information includes at least one of: portion information, edge filtering criteria, and pattern information. Thereafter, document is processed to detect edges of the at least textual content. Upon detection, one or more text edges matching the edge filtering criteria are filtered from the detected edges of the at least textual content. Finally, the one or more security patterns are added to the one or more matched text edges, thereby resulting in a stamped document.