28 results about "Edge strength" patented technology

The application provides a three-dimensional map construction and camera trajectory estimation method based on edge information fusion, and belongs to the field of computer vision and robot perception. An image sequence in a scene is collected, and a two-dimensional edge intensity map is generated after edge detection; a three-dimensional Gaussian point cloud is initialized or updated: an initial point cloud is generated by back projection of the color, depth and edge intensity value of the first frame; a point cloud is added in the required area according to the rendering difference in subsequent frames; the camera pose of the current frame is initialized, a prediction map is generated based on the pose and the point cloud of the previous frame, a loss function is constructed to optimize the camera pose; the point cloud attributes are optimized again based on the optimized pose and the point cloud of the previous frame, and the point cloud of the current frame is generated; the sequence is processed frame by frame, the optimized point cloud is accumulated to form a global three-dimensional map, and the camera motion trajectory is output by accumulating the camera pose. The application improves the SLAM precision, stability and reconstruction quality in various complex scenes, especially in low-texture and strong-structure environments.

The invention belongs to the technical field of image data processing, and particularly relates to an industrial robot efficient communication method and system based on edge computing, and the method comprises the steps: determining all narrow edge pixel points of each frame of image; determining an edge intensity factor of each frame of image; determining a structured edge factor of each frame of image; determining an optimization coefficient of an effective frame screening threshold value of each frame of image to obtain an optimized effective frame screening threshold value of each frame of image; and each frame of image is judged, and effective frames of the image are screened. According to the method, the gradient magnitude and gradient direction features of the narrow edge pixel points of each frame of image are analyzed, the effective frame screening threshold value of each frame of image is optimized, the limitation of the fixed effective frame screening threshold value is overcome, the effective frame images are screened, and the timeliness and robustness of industrial robot communication are improved.

The application discloses a kind of indexable turning inserts, including center line, upper surface, lower surface and multiple side surfaces connecting upper surface and lower surface, two adjacent side surfaces are connected by circular arc surface, the height of each relative reference surface of circular arc cutting edge and main cutting edge is consistent, the height of each relative reference surface of transition cutting edge gradually reduces along the direction away from circular arc surface, the height of each of auxiliary cutting edge is consistent with the lowest point of transition cutting edge;The height of first protruding portion top surface, second protruding portion top surface and mounting positioning surface relative reference surface increases in turn;Upper surface is provided with third protruding portion symmetrically distributed about angle bisector, third protruding portion is located on third rake surface and is connected with second protruding portion.The present indexable turning insert has the advantages of facilitating to guide chip lateral curling, considering the edge strength of nose region, controllable chip shape and chip flow direction, reducing friction, avoiding chip blocking or chip holding and the like.

The application provides a dynamic anti-aliasing rendering method and system based on edge detection and motion perception, and relates to the technical field of computer graphics rendering. The method comprises the following steps: performing 8-direction edge intensity detection on a pixel point in an original scene image by using a 3*3 sampling matrix and calculating an edge intensity value; calculating a motion factor and dynamically adjusting an edge detection threshold; if the edge intensity value of the pixel point is greater than the edge detection threshold, performing adaptive blur processing based on a 9-point weighted average algorithm to generate a blurred pixel value, calculating a mixing factor, mixing the original pixel value of the pixel point and the blurred pixel value to generate a final pixel value; if the edge intensity value of the pixel point is less than or equal to the edge detection threshold, keeping the original pixel value of the pixel point unchanged, and the final pixel value is the original pixel value, and finally outputting a final scene image by collecting the final pixel value, so that the anti-aliasing processing strategy can be adaptively adjusted according to the static and dynamic characteristics of the scene, the rendering performance is optimized while the image quality is ensured.

The invention discloses an image processing method and device, equipment, a storage medium and a computer program product, and belongs to the technical field of image processing. The method comprises the following steps: mapping a target pixel point in a target image to an original image to obtain a coordinate of a target mapping point; determining a plurality of reference pixel points from the original image based on the coordinates of the target mapping point; determining the edge intensity of the target pixel point based on the gray values of the plurality of reference pixel points; based on the edge intensity of the target pixel point and the distances between the multiple reference pixel points and the target mapping point, weights corresponding to the multiple reference pixel points are determined; and determining the pixel value of the target pixel point based on the pixel values of the plurality of reference pixel points and the weights corresponding to the plurality of reference pixel points. As the edge intensity can well distinguish the image edge and noise, the weight of each reference pixel point is adjusted by adding the edge intensity of the target pixel point, the image noise can be reduced, the image edge can be enhanced, and the image contrast can be improved.

The invention belongs to the technical field of computer videos, and particularly relates to a monitoring video stream distortion correction and two-dimensional-to-three-dimensional fusion method and a monitoring video stream distortion correction and two-dimensional-to-three-dimensional fusion system. The non-uniform mapping relation is established by calculating the distortion offset of the pixel coordinates, and the interpolation weight is dynamically calculated based on the pixel distance and the local edge intensity, so that the non-uniform distortion of the lens can be accurately corrected, the edge detail features of the image are effectively reserved, image blurring or detail loss in the correction process is avoided, and the correction efficiency is improved. And the definition and the accuracy of the corrected image are greatly improved.

The invention relates to a water body rendering method and device, equipment, a storage medium and a program product, and the method comprises the steps: superposing periodically continuous waveform data and noise data to all vertexes of a horizontal grid, and obtaining a wave pattern; coloring the wave white mold to obtain a wave model; respectively carrying out derivation processing on the waveform data and the noise data at each vertex in the wave pattern to obtain a first space gradient corresponding to the waveform data and a second space gradient corresponding to the noise data; performing composite processing on the first space gradient and the second space gradient to obtain a composite gradient of each vertex; obtaining a vertex normal vector of each vertex based on the composite gradient of each vertex; based on the vertex normal vector and the line-of-sight direction vector of each vertex, generating edge intensity data of the wave contour; and superposing the edge strength data to the wave model to obtain a water body rendering result. According to the scheme, the vertex normal vector is dynamically determined based on the composite gradient, so that the rendered water body has a dynamic surge effect.

The application provides an image post-processing optimization management method for intelligent taking of a cabinet of electric power materials, and belongs to the technical field of electric power material management, and comprises the following steps: S1, taking and placing registration; S2, overlay image acquisition; S3, feature extraction; S4, recognition matching; S5, inventory management whole process and the like; the application collects multi-angle images of the materials through a high-resolution camera, constructs a multi-directional convolution framework by using a spatial gradient energy kernel, and strengthens the extraction capability of geometric contour, surface texture and identification features. The core technology adopts three-dimensional differential operation to analyze the edge strength, curvature change and deformation characteristics step by step, combines a multi-scale texture analysis and an adaptive light compensation algorithm, eliminates environmental interference and generates a unique feature coupling factor, matches a pre-stored feature fingerprint library in real time through an elliptical envelope detection algorithm, accurately identifies the types and quantities of the materials, and forms a closed-loop management from permission verification, accurate identification to intelligent early warning.

This invention relates to the field of hydropower station technology, and discloses a method, apparatus, equipment, and medium for detecting crack defects in hydropower station dams. The invention calculates the maximum value of the ridge variation coefficient through single-layer discrete two-dimensional wavelet decomposition and ridge transform, and then determines the true crack edge direction based on this maximum value, improving the edge feature enhancement effect and making the edge boundaries clearer. Furthermore, a crack edge image is constructed based on multiple pixels corresponding to the absolute values ​​of multiple gradients along the crack edge direction, and the crack defect detection result of the hydropower station dam to be detected is determined based on the constructed crack edge image. Therefore, by implementing this invention, the edge strength and recognition rate of image recognition are improved by enhancing edge features, thereby improving the accuracy of crack defect detection results.

The application discloses a kind of ice thickness measurement method and device based on visual perception of ice storage coil, and the method comprises: setting annular or fan ring-shaped calibration disc on ice storage coil.The calibration disc is provided with multiple different color stripe regions arranged concentrically and along radial direction.Judge whether each stripe region is completely covered by ice layer according to the brightness change of calibration disc covered by ice layer in image, and each stripe region is divided into completely covered interval, partially covered interval and uncovered interval.For partially covered interval, the ice layer covering ratio of partially covered interval is obtained, and thus the ice layer thickness is obtained.The application provides the accuracy of ice thickness detection by stage ice thickness analysis, specifically, the ice layer completely covered by ice layer is determined by using the segmentation and brightness of different color stripe regions, and then for the partially covered stripe region, the comprehensive edge strength of integrated gradient edge strength and phase consistency edge strength is used for coverage ratio calculation.

The invention relates to a method for efficiently producing ultra-thin elements (2, 4) of glass-based material, the material thickness (d) of which is between 5 m and 100 m, into which filiform damages (14) are introduced by irradiation with an ultra-short laser pulser, the distance (A) between adjacent filiform damages (14) being between 0.4 m and 4.0 m. This advantageously achieves high edge strength. The invention also relates to ultrathin elements (2, 4) of glass-based material and to the use thereof.

This invention belongs to the field of image data processing technology, specifically relating to an efficient communication method and system for industrial robots based on edge computing. The method includes: determining all narrow-edge pixels in each frame of an image; determining the edge intensity factor of each frame; determining the structured edge factor of each frame; determining the optimization coefficient of the effective frame filtering threshold for each frame, thus obtaining the optimized effective frame filtering threshold for each frame; and judging each frame to achieve effective frame filtering. This invention optimizes the effective frame filtering threshold for each frame by analyzing the gradient magnitude and gradient direction characteristics of the narrow-edge pixels in each frame, overcoming the limitations of a fixed effective frame filtering threshold, and filtering effective frames to improve the timeliness and robustness of industrial robot communication.

A method for separating a substrate of a brittle-hard material is provided. The method includes the steps of introducing defects into the substrate at a spacing from one another along a separation line using at least one pulsed laser beam; selecting an average spacing between neighboring defects and a number of laser pulses for generating a respective defect such that a breaking stress (σB) for separating the substrate along the separation line is smaller than a first reference stress (σR1) of the substrate and such that an edge strength σK of the separation edge obtained after separation is greater than a second reference stress (σR2) of the substrate; and separating the substrate after introducing the defects by applying a stress along the separation line.

A high-resolution remote sensing image edge repairing method based on tracking, first, a deep convolutional neural network is designed according to the remote sensing edge detection task, samples are made and edge detection model and edge tracking model are trained; the remote sensing image is input into the edge detection model to extract the ground feature edge, so as to obtain the ground feature edge intensity map. The remote sensing image and the random starting point file are input into the edge tracking model to iteratively generate the edge tracking graph, and for the discontinuous ground feature edge, the edge detection result and the edge tracking result are fused to automatically determine the edge width and complete the edge. The method completes the broken line repairing work through the topological information provided by the edge tracking algorithm for the discontinuous edge part in the prediction result of the edge detection algorithm, and simultaneously uses the edge binary graph to assist in connecting the broken edge tracking graph, or creates an edge in the position where the edge does not exist to complete the edge tracking graph. The method can improve the edge extraction accuracy and efficiency, and improve the accuracy of the edge tracking model.

Methods and devices are provided for video coding. In one method, a decoder may obtain an edge component syntax element that indicates a first component for classifying a second component, where the first component and the second component are different components of a plurality of components in a picture frame. Furthermore, the decoder may obtain a classifier for a current sample of the second component according to the edge component syntax element, an edge direction, and one or more edge strengths of a collocated sample of the first component, obtain a class corresponding to the current sample of the second component by classifying the current sample of the second component according to the classifier, and obtain a sample offset for the current sample of the second component according to the class and modify the current sample of the second component based on the sample offset.

The application discloses an image scaling method based on edge perception and content adaptive interpolation. Firstly, edge detection is performed on an input original image to obtain edge strength representing the richness of image details. Secondly, according to the edge strength, the distribution of the two values with the highest weights in an interpolation function is adaptively adjusted. For a position with higher edge strength, a larger weight distribution is adopted to better preserve edge and detail features. For a position with lower edge strength, a smaller weight distribution is adopted. Finally, pixel resampling of the whole image is completed by using the interpolation kernel after adaptive adjustment, and an output image with a target resolution is generated.

The present application belongs to the technical field of image data processing, and particularly relates to a gas pipeline root welding quality detection method and system based on image recognition, which comprises the following steps: performing median filter pretreatment on the pipeline root image to remove noise points; analyzing the edge positioning strength of each point based on the second derivative of the pixel point and the process weight, and calculating the average edge strength of the sampling path; combining the physical distance of each pixel point and the energy dissipation coefficient to correct the light path loss, and obtaining the root welding degree; using the root welding degree, the average edge strength and the hazard sensitivity based on the pipeline design pressure to obtain the hazard score; and sending a brake instruction to the robot in response to the score exceeding the limit. The present application introduces physical compensation and pressure equal mapping mechanism, realizes quantitative evaluation and closed-loop control of the weld quality, and improves the detection accuracy.

This invention discloses an optimization device and method for laser spot edge diffraction, relating to the field of optical instrument technology. The optimization device includes two sets of guiding mechanisms, two sets of driving mechanisms, and two sets of aperture pairs. Each aperture pair includes two opposing aperture plates, the edges of which are used to define the light transmission boundary and have a serrated structure. The driving mechanisms drive the two aperture plates in the same set to move synchronously in opposite directions along the guiding direction. The positions of the two aperture pairs are independently controlled to combine and form different light transmission boundaries. In the optimization method, the positions of the two aperture pairs are adjusted according to the edge morphology of the laser beam to be optimized, and the laser beam is made to pass through the target light transmission boundary for edge intensity modulation. Through the technical solution of this invention, the edge diffraction caused by traditional straight-edge apertures is reduced, and the edge smoothness of the laser beam, the flexibility of light transmission boundary adjustment, the adaptability to different spot morphologies, the shaping consistency, and the processing stability are improved.

The application discloses an image fusion method, device and computer readable storage medium. The image fusion method comprises the following steps: extracting high-frequency components and low-frequency components of a first image to obtain first high-frequency components and first low-frequency components; extracting high-frequency components and low-frequency components of a second image to obtain second high-frequency components and second low-frequency components; wherein the resolution of the first image is lower than that of the second image; determining the edge intensity of each pixel position in the second high-frequency components, and determining the local difference measure value of each pixel position in the high-frequency components of the first image and the second image; performing pixel-by-pixel weighted fusion on the first high-frequency components and the second high-frequency components to obtain fused high-frequency components; and obtaining a fused image based on the fused high-frequency components and the fused low-frequency components. Through the above method, the application can solve the problem of loss of edge details in the fused image when the current image fusion method is used for image fusion.

Disclosed is a method for generating a panning image. The method includes receiving an image frame comprising one or more objects and a background portion, identifying, in the received image frame, a first area corresponding to a salient object amongst the one or more objects, generating a histogram map based on the received image frame and the first area, the histogram map indicates a distribution and orientation of edge intensities corresponding to the salient object in the received image frame, estimating, using a set of models, a speed parameter and a direction parameter corresponding to the salient object based on the received image frame, the first area, and the histogram map, and generating the panning image by applying a blur to a second area corresponding to the background portion of the received image frame based on the estimated speed parameter and the estimated direction parameter.

Method: generating local histogram ranking of pixel values located within sliding window within raster image; determining edge strength for edge depicted by comparing pixel ranks indicated by local hi

The invention relates to the technical field of underwater sound measurement and calibration, in particular to a hydrophone visual positioning algorithm based on color fusion, which comprises the following steps: acquiring RGB images of a hydrophone and a vibrating diaphragm; converting the image into a Lab color space, and separating brightness and chrominance information; respectively carrying out edge detection on the brightness channel and the chrominance channel; a fusion weight is dynamically calculated according to the edge intensity of each channel, weighted fusion and logic optimization are carried out on multi-channel edge detection results, and brightness and color edge features are comprehensively utilized; performing morphological processing on the fused edge to optimize the contour quality; according to the method, the integrity and the accuracy of edge detection are enhanced by fusing color information, personal errors are eliminated, high precision of visual positioning in the hydrophone calibration process is realized, and the overall performance and the reliability of a calibration system are improved.

The invention relates to a method for dividing a substrate, in particular a substrate made of a brittle hard material, in which method at least one pulsed laser beam is used to introduce damages into the substrate at a distance from one another along a predetermined dividing line, the average distance between adjacent damages and the number of laser pulses for generating the respective damages are selected such that (a) the fracture stress [sigma] B for splitting the substrate along the splitting line is smaller than a first reference stress [sigma] R1 associated with the respective substrate, (b) the edge strength [sigma] K of the segmentation edge obtained after the segmentation is greater than a second reference stress [sigma] R2 associated with the respective substrate, and (c) the substrate can be segmented by applying a stress along the segmentation line after the introduction of the damage.

The present disclosure relates to a cover glass, comprising a light-emitting surface and a side surface adjacent to the light-emitting surface. A first region on the side surface is provided with an anti-reflection structure, which comprises a glass-ceramic structure. By providing an anti-reflection structure in the first region of the side surface, abnormal light reflection on the side surface of the cover glass is reduced; moreover, the anti-reflection structure, which is a glass-ceramic structure, can effectively enhance the edge strength of the cover cover, improving the mechanical reliability of the entire device. The present disclosure further relates to a display module and a manufacturing method for the cover glass.

The invention discloses an image scaling method based on dynamic weight distribution, a chip and equipment, and the method comprises the steps: segmenting an input current frame image into a plurality of pixel blocks, and calculating the edge intensity and the motion intensity of each pixel block; according to the edge intensity and the motion intensity, a basic weight W0, an edge compensation weight W1 and a motion compensation weight W2 are dynamically combined, and the basic weight W0 is calculated by pixels in a 2 * 2 neighborhood where a target pixel in the current frame is located; the edge compensation weight W1 is calculated by the pixel in the extended space neighborhood where the target pixel in the current frame is located; carrying out normalization processing on the combined weights, and weighting pixels respectively corresponding to the basic weight, the edge compensation weight and the motion compensation weight by using the normalized weights to obtain a target pixel value; according to the method, the effect defects of sawteeth, smear and the like in the image zooming process are optimized, the image definition and smoothness are improved, and the display effect of the display equipment and the user experience are enhanced.

A filamentation process uses ultrafast laser pulses to form a line of filaments or perforations in a glass material in sheet form. The glass material is then cleaved using mechanical or thermal stress to form a glass substrate with a planar doughnut shape having an inner circular edge and an outer circular edge. The inner and outer edges may exhibit filamentary damage from the filamentation process, including microcracks and pillar shaped funnels along an entire length of the edge. The inner and / or outer edges may then be treated by polishing only, by etching only, or by etching and polishing to remove a portion of the filamentary damage to improve the strength of the edges. The resulting glass substrate may be used in a magnetic medium for a magnetic recording device, wherein it provides an edge strength sufficient to withstand high force shocks to the device.

Embodiments of the present disclosure relate to advanced image tracking for vectored raster images. The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting and tracking edges in raster images using advanced edge detection algorithms. For example, for a sliding pixel window in a raster image, the disclosed system generates a local histogram ranking of pixels from pixel values located within the sliding pixel window. In some embodiments, for an area of a raster image surrounded by a sliding pixel window, the disclosed system determines edge intensities of edges depicted in the raster image by comparing pixel rankings indicated by local histogram rankings of pixels. In some embodiments, the disclosed system also provides an edge for display based on determining an edge strength of an area of the raster image surrounded by the sliding pixel window.

The invention discloses an image scaling method based on edge perception and content adaptive interpolation, which comprises the following steps: firstly, carrying out edge detection on an input original image to obtain edge strength representing the detail richness of the image; secondly, according to the edge strength, the distribution of two values with the highest weight in an interpolation function is adjusted in a self-adaptive mode, and for the position with the high edge strength, larger weight distribution is adopted so that the edge and detail features can be better reserved; for the position with low edge strength, small weight distribution is adopted; and finally, completing pixel resampling of the whole image by using the interpolation kernel after adaptive adjustment, and generating an output image with a target resolution.