60 results about "Edge detector" patented technology

The invention provides an evidence obtaining method and system based on image processing, and the method comprises the following steps: S1, generating a pixel-level depth-of-field distribution diagram of an input image through a multi-scale encoder-decoder network, employing an edge perception optimization layer in a decoding stage, and improving the depth-of-field boundary precision through minimizing a local gradient consistency loss function; s2, performing depth-of-field rationality verification based on an optical imaging physical model, and triggering a first-level tampering alarm by calculating a defocusing fuzzy radius and a gradient direction of a selected region when a difference between the defocusing gradient directions of a target region and a background region exceeds a preset threshold value; and S3, dynamically positioning a key pixel region, identifying a depth-of-field mutation boundary by using an edge detector, calculating by combining local texture complexity, screening a pixel set of which the entropy value is higher than a threshold value and which is located at the mutation boundary, correlating metadata to verify the rationality of the physical size and the spatial position of an object, and eliminating false detection caused by perspective transformation.

The invention relates to a transparent object reconstruction and new view angle synthesis method based on 3DGS. The transparent object reconstruction and new view angle synthesis method comprises the following steps: S1, reconstructing dense three-dimensional point cloud and camera pose information of a data set according to an image sequence; s2, reconstructing a three-dimensional scene by using the three-dimensional point cloud and the camera pose information and using a 3DGS method, and generating a three-dimensional Gaussian kernel to represent an input scene; s3, introducing a Sobe l edge detector, extracting edges of transparent objects in the rendered image and the real image generated by the three-dimensional Gaussian kernel, and calculating edge loss functions of a rendered edge image and a real edge image; s4, jointly optimizing the three-dimensional scene reconstruction model by combining the edge loss function and the original 3DGS loss function; and S5, performing overall optimization on the scene and outputting a final three-dimensional reconstruction result. The objective of the invention is to improve the reconstruction quality of the 3DGS model so as to improve the three-dimensional reconstruction effect of the transparent object.

The invention discloses a seamless image restoration method based on regional parallel adaptive pixel consistency generation, and the method comprises the steps: receiving an original image and a shielding mask image, obtaining the features of a multi-scale image through Gaussian pyramid decomposition and an edge detector, and achieving the adaptive region division and priority sorting through a watershed algorithm; extracting structural features by using a feature pyramid network and a non-local self-attention mechanism, and establishing a regional association graph through multi-scale attention calculation; generating a scheduling table based on the region priority and the association relationship, and performing parallel region generation; and calculating pixel continuity and structural consistency between adjacent regions, realizing multi-scale fusion, and generating a final restored image. The visual continuity and the structural integrity of the repairing result can be effectively guaranteed, and meanwhile the processing efficiency is improved.

Network security anomaly detection systems and methods include a processor, in communication with the network, receiving network device status information. A variational autoencoder receives the device status information, optimizes the device status information, and determines whether the device status information qualifies as an anomaly. Optimized device status information is compared to either non-anomalous or anomalous device status data in a latent space of the variational autoencoder. The latent space preferably includes an n-D point scatter plot and hidden vector values. The processor optimizes the device status information by generating a plurality of probabilistic models of the device status information and determining which of the plurality of models is optimal. A game theoretic optimization is applied to the plurality of models, and the best model is used to generate the n-D point scatter plot in latent space. An image gradient sobel edge detector preprocesses the device status information prior to optimization.

The invention provides a counter, a phase-locked loop, an automatic frequency control system and a control method, and the counter comprises a sampling window generation module which generates a sampling window signal according to a reference clock signal; the counting module is used for counting the number of cycles of the local oscillator clock signal according to the sampling window signal to obtain an initial count value; the edge detector is used for detecting clock edges of the reference clock signal and the local oscillator clock signal and obtaining an addition and subtraction indication signal according to detected edge information; and the counter calibrates the initial count value according to the addition and subtraction indication signal to obtain a counting result. According to the scheme of the invention, an additional edge detection mechanism is added in the counter, and the counting result of the counting module is calibrated, so that the counting precision of the counter is improved, and the accuracy of a frequency control result can be ensured.

The invention discloses a dielectric metasurface optical edge detection device and method based on dual-polarization-state Mie resonance, the method shows a non-local dielectric metasurface which is high in robustness and easy to prepare, and the device can achieve polarization-independent edge detection with excellent efficiency and high numerical aperture (NA). By simultaneously utilizing Mie resonance in the s polarization state and the p polarization state, isotropic two-dimensional second-order differential operation under any polarization condition (including non-polarization illumination) is realized. According to the design scheme, real-time image edge extraction can be achieved, the average peak efficiency reaches 30%, the working bandwidth of 40 nm is achieved at the center wavelength of 1064 nm, and high-quality edge detection can be kept under the numerical aperture of 0.5. The work provides a new method for realizing polarization-independent edge detection, and paves a way for practical application of an optical calculation and imaging system.

Systems and methods for detecting anomalies in aviation data communication systems (e.g., air traffic control surveillance systems), include a processor receiving device status information. A variational autoencoder receives and optimizes the device status information and determines whether it qualifies as an anomaly. Optimized device status information is compared to either non-anomalous or anomalous device status data in a latent space of the variational autoencoder. The latent space preferably includes an n-D point scatter plot and hidden vector values. The processor optimizes the device status information by generating a plurality of probabilistic models of the device status information and determining which of the plurality of models is optimal. A game theoretic optimization is applied to the plurality of models, and the best model is used to generate the n-D point scatter plot in latent space. An image gradient sobel edge detector preprocesses the device status information prior to optimization.

A photodetection device according to the present disclosure includes a plurality of light-receiving sections that each generates a pulse signal including a pulse corresponding to a result of light reception, a plurality of edge detectors that each generates a detection signal by detecting an edge of the pulse in the pulse signal generated by a corresponding light-receiving section, and an adder that generates a detection value indicating number of the pulses on the basis of a plurality of the detection signals. The edge detectors each include a first latch circuit that generates a first signal by latching the pulse signal on the basis of a first clock signal, a second latch circuit that generates a second signal by latching the first signal on the basis of a second clock signal that is an inverted signal of the first clock signal, a combination circuit that generates a third signal on the basis of the pulse signal, the first signal, and the second signal, and a third latch circuit that generates the detection signal by latching the third signal on the basis of the first clock signal.

A computer-implemented image processing method is provided. The computer-implemented image processing method includes: obtaining a pair of training samples, the pair including a training image with a first sharpness and a reference image with a second sharpness greater than the first sharpness, wherein at least a portion of the training image and at least a portion of the reference image in the same pair have the same content; inputting the training image into an image enhancement convolutional neural network to generate a training enhancement image; inputting the training enhancement image into an edge detector; generating a plurality of first edge maps by the edge detector; inputting the reference image into the edge detector; generating a plurality of second edge maps by the edge detector; and adjusting parameters in the image enhancement convolutional neural network to minimize at least one or more of the first and second losses.

The invention provides a non-contact air suspension ultrathin wafer turning device, which comprises a machine body, two clamping jaws, an edge detector, a displacement sensor and a control system, and is characterized in that the two clamping jaws can move relative to the machine body, each clamping jaw is provided with a crack for placing a wafer, and the edge detector is arranged in the crack; a plurality of air holes for spraying air towards the wafer are formed in the crack, so that an air film is formed on the outer side of the wafer to enable the wafer to suspend in the crack, the edge detector is arranged in the crack and used for monitoring the real-time position of the edge of the wafer, the displacement sensor is used for detecting the position state of the wafer, and the control system controls the clamping jaw to rotate when the clamping jaw turns over. And calculating execution air pressure based on data of the edge detector and the displacement sensor so as to adjust air film pressure distribution, so that the wafer is kept at a preset position. According to the non-contact air suspension ultrathin wafer turning device provided by the embodiment of the invention, in the wafer turning process, the pollution risk and physical damage of the wafer can be reduced.

The invention belongs to the technical field of building construction, relates to a ceramic tile seam beautifying method and an automatic ceramic tile seam beautifying robot, and aims to solve the problems that manual seam beautifying depends on experience, the efficiency is low, the cost is high, and the quality is unstable. The method comprises the following steps: positioning and moving equipment (a center detector is aligned with a tile gap, and an edge detector detects an obstacle avoidance area in real time); automatically pasting a film (releasing the film by a film storage roller, attaching the film by a film pasting roller, pressing the film by a film pressing roller and exposing the gap by a film cutting ring cutter, and cutting the film by a film cutter); and automatically gluing and scraping glue (lifting to drive a glue gun to inject glue. The robot comprises a moving trolley, a follow-up film pasting mechanism and a gluing mechanism, the moving trolley comprises a detection device and a multi-wheel walking device, the follow-up film pasting mechanism and the gluing mechanism are arranged, full-automatic seam beautifying can be achieved, manpower is reduced, and efficiency and quality are improved.

In an identification information receiving device that receives identification information defined by a plurality of bits and superimposed on a current or a voltage of a power line by an identification information transmitting device that is connected to the identification information receiving device via the power line, an edge detector detects an edge of an input signal that indicates a voltage value corresponding to the current or the voltage of the power line. A T flip-flop circuit inverts an output, each time the edge of the input signal is detected.

The application discloses an image internal occlusion relationship prediction method and system based on edge information guidance. The method comprises two parts of an edge detector and an occlusion relationship predictor, and comprises the following steps: inputting an image through an edge detector composed of an image segmentation module, a plurality of pooling Transformer modules and a deconvolution module to generate an edge detection graph; then in the occlusion relationship predictor, the edge detection graph acts on the image element features generated by the edge detector through an edge information guidance module; then the new image element features are sequentially optimized through a plurality of pooling Transformer modules; and finally, a last deconvolution module adjusts and enlarges the finally obtained image element features in resolution, and outputs an occlusion relationship graph. The application first proposes a new method of guiding feature calculation by the generated edge detection graph and directly generating an occlusion relationship graph. Compared with other existing methods, the application has less calculation amount and better prediction effect.

The invention discloses a TES detector comprising a semi-frame-shaped parallel superconducting electrode structure, and belongs to the technical field of superconducting electronics. According to the detector, the semi-frame-shaped niobium lead with higher superconducting transition temperature is arranged on the surface of the aluminum-manganese alloy film, so that the current distribution in the film under the bias condition is changed, and the normal resistance of the film is remarkably reduced. By adjusting the number, spacing and size of the semi-frame-shaped electrodes, the resistance of the film can be flexibly controlled, and the size and thermal conductivity of the detector are optimized, so that the detector meets different application requirements. According to the invention, the performance of the aluminum-manganese alloy superconducting transition edge detector is obviously improved, the application of the aluminum-manganese alloy superconducting transition edge detector in related fields is more efficient, and meanwhile, a new possibility is provided for flexible design and thermal conductivity optimization of an array detector.

A computer-implemented image-processing method is provided. The computer-implemented image-processing method includes obtaining a pair of training samples including a training image having a first degree of sharpness and a reference image having a second degree of sharpness, the second degree greater than the first degree, at least portions of the training image and the reference image in a same pair having same contents; inputting the training image to the image-enhancing convolutional neural network to generate a training enhanced image; inputting the training enhanced image into an edge detector; generating, by the edge detector, a plurality of first edge maps; inputting the reference image into the edge detector; generating, by the edge detector, a plurality of second edge maps; and tuning parameters in the image-enhancing convolutional neural network to minimize at least the one or more first losses and a second loss.

The invention discloses a remote sensing image restoration method and system based on a heterogenous image, and the method comprises the following steps: S1, obtaining a to-be-restored image, a background mask of the to-be-restored image and the heterogenous image, the heterogenous image being an image which has the same time and the same region as the to-be-restored image and has different sources from the to-be-restored image; s2, using a pre-trained image restoration network to obtain a target image based on the to-be-restored image, a background mask of the to-be-restored image and a heterogenous image; wherein the image restoration network comprises an edge detector, a structure generator and an image generator. In the image restoration process, the image structure of the missing area of the to-be-restored image is firstly predicted and generated according to the different-source image, and then the complete image is generated according to the structure information predicted and generated by the missing area of the to-be-restored image and the image information of the known area of the to-be-restored image, so that the quality and the trueness of the restored image are improved.

The invention discloses a multi-information progressive fusion image colorization method based on a deep convolutional neural network. The method is composed of five core modules: an input module is responsible for receiving an original image and carrying out preprocessing operations such as graying and normalization; the feature extraction module is actually a VGG network and is responsible for extracting multi-level features of the image; the multi-information fusion module adopts a channel attention mechanism to collaboratively fuse gray features, edge features extracted by a Canny edge detector and semantic features extracted by a DeepLabv3 + semantic segmentation network; the progressive colorization generation and optimization module comprises a plurality of U-Net sub-networks, and realizes colorization image generation from coarse to fine through a staged generation strategy in combination with joint optimization of L1 loss, perception loss and adversarial loss; and the output module carries out reverse normalization processing on the result. According to the method, the problems of color distortion and detail loss in the prior art are effectively solved, the color image with accurate color, rich details and vivid vision can still be generated in a complex scene, and the method can be widely applied to the fields of old film color restoration, medical image enhancement and the like.

A document reading apparatus includes a possible document edge detector that detects, on the basis of a density change indicated by image data acquired by a reading device, a density-changing point, where image density is equal to or higher than a threshold, and most downstream in a transport direction, at each of positions in a main scanning direction, as a possible position of a document edge, and detects an image formed of pixels continuously aligned in the main scanning direction at the possible position, as a possible document edge, and a document size detector that detects a document size in the main scanning direction, on a basis of the image of the possible document edge, when the image of the possible document edge detected by the possible document edge detector is formed of a single image extending in the main scanning direction at a same position in the transport direction.

A circuit for an edge-based Phase Frequency Detector (PFD) (200) comprising two edge detectors (103), two SR latches (104), one NAND gate (106), and one NOR gate (107). A reference (Ref) (101) and feedback signals (Fb) (102) are provided to the two edge detector (103) which generates a pulse of active low logic. The output of the edge detector (103) is provided to the two SR latches (104), which provide output signals of the phase frequency detectors. The output of two SR latch (104) is buffered though two invertors (201) and additionally connected to a pair of cross-coupled inverters (202) to generate complementary up (UP and UPb) and down (DN and DNb) signals (105). Phase Frequency Detector (PFD) circuit (200) minimize the number of gates, reducing noise and Random Jitter (RJ), enhance dead zone performance and also reduce the duty cycle of the reference (Ref) (101) and feedback (Fb) signal (102) to a minimal 10%.

The present application provides a wafer adsorption system and a wafer adsorption method. The wafer adsorption system includes a wafer carrying module, an adsorption module and a control module; the wafer carrying module includes a transparent carrying platform, a center detector and multiple edge detectors; the transparent carrying platform is used to carry the wafer; the center detector is used to detect the distance between the center detector and the center of the wafer; the multiple edge detectors are used to detect the warpage at the edge of the wafer; the adsorption module includes an adsorption body, a suction cup and multiple first adsorption channels; multiple suction cups are evenly distributed at the bottom of the adsorption body; the suction cup has a threaded joint and multiple evenly distributed suction holes at the bottom; multiple first adsorption channels are located inside the adsorption body, and the adsorption force is transmitted to the suction cup through the threaded joint; the control module is used to control the operation of the adsorption module. The wafer adsorption system can realize the front adsorption of wafers with different warpages, and can avoid damage to the wafer surface, thereby improving work efficiency.

The invention discloses a large-format PCB multilayer board edge detection method. The method comprises the following steps of S1, optimizing a filter coefficient of a filter in an edge detector by using a genetic algorithm; s2, the optimized filter coefficient is converted, the converted filter coefficient is used for image training, and the maximum fitness value in the image training is obtained; s3, updating an evaluation function in the genetic algorithm by using the maximum fitness value; according to the method, the genetic algorithm is used for optimizing the filter coefficient of the filter, then the optimized filter coefficient is subjected to image training, the maximum fitness value is obtained, the maximum fitness value is used for updating an evaluation function in the genetic algorithm, and finally the influence of noise on image details is reduced. Therefore, the detection precision of the edge of the multilayer board is improved.

According to the train wheel position monitoring method, device and system provided by the invention, the position of the train wheel is accurately measured by periodically utilizing the stereo camera and the thermal imager, and the measured image is automatically displayed, so that the accuracy and robustness of measurement are remarkably improved. When an image selection instruction is received, the system automatically marks a to-be-measured image and a to-be-measured wheel in the to-be-measured image, then the image is processed through an edge detector, the vertical edge of the wheel is extracted, and the horizontal coordinates of edge white points are further accurately extracted through an iterative algorithm. The wheel width is determined by calculating the radian angle between the horizontal center of the image and the edge white point, and the wheel width is compared with the preset template to obtain the offset so as to judge whether the wheel shifts or not. According to the method, the dependence on camera setting is reduced, the operation efficiency is improved, the implementation and operation cost is reduced, meanwhile, the strict requirements of a railway transportation system for high safety and high efficiency are met, and the huge popularization value is shown.

A system for cutting blanks is provided. The blanks include a first blank and a second blank. The system comprises an edge detector configured to determine a configuration of an edge of the first blank; a cutter configured to cut an edge of the second blank; and one or more processors operatively connected with the edge detector and the cutter, the one or more processors controlling the cutter to cut the edge of the second blank into a configuration based on the detected configuration of the edge of the first blank.

Automatic target evaluation system for bullet holes, comprising a camera unit, a computing unit and image analysis software, wherein the camera unit continuously records images of a target and the computing unit is designed to extract contours and edges using a Canny edge detector, to perform a circle approximation using area boundaries and to identify possible bullet holes.

An integrated circuit includes a first subsystem including a first clock generator configured to generate a first clock signal. The integrated circuit also includes a second subsystem including a second clock generator configured to generate a second clock signal. The first subsystem includes an edge detector configured to detect an edge of the second clock signal. The first clock generator generates the first clock signal with a selected phase relative to the second clock signal based on the edge of the second clock signal.

The application provides a train wheel position monitoring method, device and system, which can accurately measure the position of the train wheel by periodically using a stereo camera and a thermal imager, and automatically display the measurement image, thereby significantly improving the accuracy and robustness of the measurement. When an image selection instruction is received, the system automatically marks the image to be measured and the train wheel to be measured in the image, then processes the image through an edge detector to extract the vertical edge of the train wheel, and further uses an iterative algorithm to accurately extract the horizontal coordinate of the edge white point. The arc angle between the horizontal center of the image and the edge white point is calculated to determine the width of the train wheel, and the offset is compared with a preset template to determine whether the train wheel is displaced. This method not only reduces the dependence on camera settings, improves the operation efficiency, and reduces the implementation and operation cost, but also meets the strict requirements of the railway transportation system for high safety and high efficiency, and has great popularization value.

The application discloses a method capable of storing different magnifications and automatically setting boundary strength, adopts a projection system, and comprises a workbench, an objective lens, a projection screen, a frontmost mirror and a last mirror; the objective lens comprises a mounting seat and a lens; a plurality of sensing elements are arranged on the mounting seat, the sensing elements are connected with an edge trigger controller, a trigger element is arranged on the lens, and the trigger element automatically triggers the corresponding sensing element after the lens is mounted on the mounting seat, so that the edge trigger controller automatically distinguishes the magnification of the lens, a plurality of different magnifications are preset and stored, and corresponding boundary strengths are respectively set; during operation, the corresponding boundary strengths are automatically adjusted according to the lens with different magnifications, manual setting is not needed, the setting magnification is avoided to be forgotten, and the edge detector is used in combination to automatically enable the edge detector to perform edge detection by using different threshold values according to different magnifications, so that the precision and convenience are considered.

The present invention discloses a filling device for fluorocarbon coatings on PET films for photovoltaic use, including a filling device and a mounting base located below the filling device; a frame is installed on the outside of the mounting base, a turntable is arranged inside the mounting base, a mounting frame is fixedly installed on the inner side of the frame, four groups of filling devices are movably installed at the bottom of the mounting frame, one side of the four groups of filling devices is fixed to the turntable through connecting movable rods, a clamping device is installed on the top of the mounting base, rollers cooperating with the mounting base are arranged on both sides of the turntable, and a motor is installed at the bottom of the turntable; the present invention uses an edge detector in cooperation with a top cover plate, which can detect the integrity of the barrel body and can also remove the attachments on the barrel body. The use of multiple sleeves in cooperation with movable blocks can detect barrel bodies with different arcs, enabling the device to adapt to products with different barrel arcs.

The application relates to the technical field of object recognition, and discloses an image recognition detection method and system based on weak supervision learning, which comprises the following steps: S1, generating initial pseudo labels of a to-be-detected image through point annotation, an edge detector and a self-adaptive flood filling algorithm; S2, constructing a point supervision salient object detection model based on a visual converter; S3, performing the first round of training on the point supervision salient object detection model to obtain a final salient map; and S4, suppressing non-salient objects of the final salient map, performing the second round of training on the point supervision salient object detection model, and completing the recognition of the image. The application solves the problem that the existing image recognition detection technology can only cover part of an image, cannot ignore invalid objects, leads to low efficiency, and has the characteristics of strong supervision capability.

A medium processing apparatus for processing a medium ejected from an image forming apparatus includes a conveyor, a slit, a medium processing device, a stopper, and detectors. The conveyor conveys the medium ejected from the image forming apparatus. The slit communicates with an opening of a housing into which a medium is manually inserted from outside and includes a placement face on which the inserted medium is placed. The placement face has a first side and a second side orthogonal to the first side. The first and second sides are not parallel to a direction in which a side face of the housing extends. The medium processing device processes the medium conveyed by the conveyor or the medium placed on the slit. The stopper regulates edges of the medium along the first and second sides of the placement face. The detectors are disposed on the stopper to detect the medium.