666 results about "Line segment" patented technology

The invention discloses a geological map-oriented breakpoint repairing and closed curve reconstruction method and system and a medium. The method comprises the following steps of: preprocessing an original geological map to obtain a grayscale image; carrying out binarization and morphological closed operation processing to obtain a grayscale image of the edge of the smooth contour curve; performing pixel skeletonization to obtain a pixel-level skeleton diagram; performing secondary edge extraction, connected domain marking and endpoint statistics on the pixel-level skeleton diagram, and screening out a non-closed curve and an endpoint set; carrying out nearest neighbor retrieval by adopting KD-Tree to obtain a candidate pairing set of each end point; performing priority pairing in combination with the spatial distance and the direction smoothness; and generating a transition line segment according to a pairing result to supplement the fracture part of the non-closed curve. According to the method, non-closed breakpoints generated by scanning or drawing errors in the geological map can be automatically restored, and a closed curve with topological integrity and a smooth boundary is generated.

The invention belongs to the technical field of electric power engineering digitization and intelligent drawing auditing, and particularly relates to a dynamic rule engine and multi-target auditing task decomposition method oriented to electric power drawings. Obtaining a power rule file, analyzing and verifying to generate qualified rules, and screening the qualified rules to obtain an effective rule pool; the method comprises the following steps: reserving candidate areas by preprocessing an electric power engineering drawing, generating structured cells through line segment classification and combination and table detection, extracting and cleaning a text, and affiliating the text to the corresponding cells to form a structured result; screening candidate rules from the effective rule pool, extracting auditing objects from the structured result, generating auditing points, calculating the priority of the auditing points, and packaging the auditing points into an assignment unit set capable of being executed in parallel; on the basis of the dispatching unit set, optimizing task distribution by adopting a dynamic model and a greedy algorithm in an execution environment with the maximum concurrency, and doubly optimizing task execution by quantifying benefits and verifying rules; and performing rule judgment and result measurement on a task execution result.

The invention discloses a three-dimensional Gaussian splashing method and system for sparse view curve reconstruction, and the method reconstructs a three-dimensional curve scene through a sparse image: firstly, obtaining a dense point cloud and a camera pose, extracting a two-dimensional line segment graph, employing a line segment guide Gaussian initialization strategy, and obtaining a three-dimensional curve scene; generating an initial Gaussian set on the basis of the dense point cloud and the two-dimensional line segment graph; structure perception Gaussian pruning is executed in the optimization process of the initial Gaussian set, and spatial outliers and visibility redundant gauss are removed; and finally, calculating the total loss containing sparse regular terms through the difference between the rendered image and the sparse image, and iteratively optimizing Gaussian parameters until the total loss converges, thereby obtaining a final three-dimensional curve reconstruction result. According to the method, the problem of geometric prior deficiency under a sparse view is solved through line segment guide initialization, overfitting and artifacts are effectively inhibited by using structure pruning and sparse constraint, and high-quality three-dimensional curve reconstruction is realized.

The invention relates to the technical field of pattern design intelligent optimization, in particular to an embroidery pattern optimization design method and system based on a machine learning model.The method comprises the following steps that a grey-scale map structure is obtained, edges are extracted to construct a direction node map, node intersection points are positioned to generate path vectors, boundaries are drawn according to the symmetrical relation to generate annotation map blocks, and the annotation map blocks are obtained. Establishing a pattern code generation structure label group, and extracting a repeated paragraph classification style to generate a style training sample label set; according to the method, a composition node map is constructed through the direction continuity of edge pixel points, path candidate intersection points are positioned through the intensity of node space distribution and are connected into skeleton path line segments, an edge structure closed area is extracted by using a path symmetric projection relation, and ordered association of a pattern structure and a pattern is realized. The pattern design process has the capabilities of being controllable in structure, adjustable in style and traceable in feature, and the intelligent level of composition processing and style induction is remarkably improved.

The invention discloses a method for automatically correcting radial distortion of a wide-angle lens, and relates to the technical field of computer vision and image processing, and the method comprises the steps: collecting an original image, calculating the distance from a pixel to an imaging principal point, and extracting a multi-scale image and edge features; analyzing the edge direction and radial change and linear extension of the structure, extracting a linear structure candidate region, obtaining a distortion compensation parameter, generating a multi-scale candidate linear parameter set, and calculating a multi-scale linear consistency index for adaptive adjustment; extracting a point set from the candidate straight line parameter set, executing forward and reverse mapping to calculate a dual-space consistency index, and optimizing local parameters and the point set; calculating a minimum linear complexity index based on the line segment curvature, the curvature change rate and the length, and implementing local optimization; and performing weighted fusion on each index to construct a comprehensive objective function, performing step-by-step shrinkage optimization to obtain an optimal compensation parameter, performing global geometric correction on an original image, generating a distortion correction image, and realizing improvement of the structure recognition precision and the geometric correction effect.

The application discloses a discrete fracture network generation method based on an iterative function system, which comprises the following steps: generating a traditional discrete fracture network model according to set parameters; then, converting all line segments into multi-segment lines with different directions and shapes at random; converting the multi-segment lines into fractal curves representing fractures by using an iterative function system; then, smoothing the fractal curves by using a curve smoothing algorithm and exporting the processed model into a geometric file, such as a dxf format file; realizing intersection operation between the curves by using software or code; setting an error value to detect small lines and gaps, deleting the short lines, merging small gaps into a point, and merging points close to the boundary; and finally, carrying out mesh division on the model. Compared with the traditional discrete fracture network model, the application can generate fractal curves representing fractal fractures, can control the roughness degree of the fractures through relevant parameters, can more accurately describe the fractures, and can improve the efficiency and precision of numerical simulation.

The invention discloses a plane target contour reconstruction method and device suitable for geographic information data processing, which are used for recovering the contour shape of a target geographic element from a disordered discrete point set, and comprises the following steps: obtaining a plane discrete point set representing the target geographic element, the plane discrete point set being disordered coordinate data; the plane discrete point set is processed, the plane discrete point set is structured into a group of line segment sets representing local contour features of the plane discrete point set through iterative splitting and merging operation based on an elliptic model, and the splitting and merging operation is controlled by a linearity threshold value and a disconnected connectivity threshold value which are generated in a self-adaptive mode; processing the line segment set, and integrating the line segment set into closed polygon contour data representing the target geographic element by establishing a spatial index for end points of the line segment set and executing nearest neighbor connection; and outputting closed polygon contour data. According to the method and the device, the accuracy and the automation degree of contour reconstruction and the robustness of an algorithm are improved.

The invention provides an end face burr defect detection method suitable for pole piece slitting, and the method comprises the steps: obtaining a collection image of a to-be-detected pole piece slitting end face, extracting an actual foil in the collection image, and generating a skeleton line sub-pixel contour line segment of the actual foil; combining adjacent sub-pixel contour line segments at the fracture into one segment, and fitting into a straight line segment; and according to the straight line segment and the height of the foil, a virtual foil is obtained, the protruding contour of the actual foil protruding out of the virtual foil at the fracture is determined, and a burr defect identification result is generated in combination with a preset burr threshold value. The technical problem that in the prior art, the detection efficiency of pole piece slitting end face burr defects is low is effectively solved.

The invention relates to the technical field of numerical control machining and path planning, and discloses a sharp corner compensation method, device and equipment based on a vector path and a medium. The sharp corner compensation method comprises the steps that a vector graphic file is obtained, path data is extracted, and coordinate information of a straight line segment and a curve segment in the path is analyzed; judging sharp corners and generating a sharp corner set according to the line segment connection relation and the side length non-zero condition, calculating a supplementary angle of each sharp corner and determining a compensation parameter by combining the radius of the cutter, generating a compensation point coordinate set based on the compensation parameter, and adjusting the cutting path according to the compensation point coordinate set to generate a cutter path optimization instruction. According to the method, the geometric features of the vector path are automatically identified and the compensation point of the sharp corner area is calculated, so that accurate compensation and path optimization of the sharp corner in the two-dimensional cutting equipment without rotation control are realized, the cutting precision and the edge forming quality are effectively improved, the path offset and the corner error are reduced, and the product quality is improved. And the continuity of the cutting track and the stability of the machining effect are ensured.

The application discloses a kind of automatically generated river section and feature extraction method, comprising: by specified numerical value, along the river center line / longitudinal axis line generation point, and point is set to number along river direction, and adjacent line recursive generation center line is given to these line number;According to the order of numbering, traverse point, and make perpendicular to its adjacent line;Generation perpendicular segment and the intersection of adjacent line, and these intersection points are given the numbering value consistent with point;With intersection point along the direction of existing perpendicular segment, continue to make perpendicular to its adjacent line;Respectively, the intersection of perpendicular segment and adjacent line is solved, and these intersection points are given the numbering consistent with the starting point of perpendicular segment;Until perpendicular segment reaches river boundary;According to center line number and the intersection point number of generated perpendicular segment, line segment is generated, and automatic section establishment is completed;Information extraction point is generated by the generated section line;Extract section two / three-dimensional grid data information.The application realizes the automatic section generation and attribute extraction of river with relatively severe width and curvature variation.

This invention discloses a method for processing temperature and humidity big data curve trend charts, belonging to the field of data processing technology. The method includes the following steps: initializing a data point set and error threshold; retaining key points by recursively segmenting line segments; detecting out-of-bounds points and marking continuous out-of-bounds intervals; supplementing key points to ensure data feature integrity; merging the thinning results with the supplemented points and outputting the final result in time order. By quantifying the deviation of data points through geometric vertical distance, key inflection points are accurately identified, while out-of-bounds intervals and extreme points are supplemented, effectively avoiding data feature loss. This invention can quickly process millions of data points on ordinary computer devices, with a compression rate exceeding 92%, while preserving the key trends of the curves. It is suitable for temperature and humidity verification needs in fields such as pharmaceutical cold chain logistics, solving the problems of insufficient performance of traditional tools and high costs of professional platforms when processing large-scale temperature and humidity data.

The invention discloses a comprehensive assessment method for weak links of a power system involving multi-dimensional indexes in extreme weather. The method comprises the following steps: firstly, establishing a multi-dimensional index system containing safety and optimized operation, wherein the system covers the line outage probability, the load loss probability, the electric energy insufficiency expectation, the line heavy load rate and the network loss rate; secondly, constructing a line fault model and a cascading fault model under extreme storm weather, describing fault probability change in combination with a Gaussian function and Weibull distribution, and simulating line segment failure by adopting Poisson distribution; a system state after a fault is calculated through a direct-current optimal power flow model, and a large amount of simulation data is obtained in combination with a non-sequential Monte Carlo method. Furthermore, a fuzzy analytic hierarchy process and a CRITIC method are adopted to calculate subjective and objective weights respectively, subjective and objective comprehensive evaluation is realized through weight fusion, and weak links of the system are identified. The method gives consideration to evaluation scientificity and calculation efficiency, and is suitable for real-time risk evaluation and weak link identification of a large-scale power system in extreme weather.

The invention relates to the field of numerical control post-processing, and particularly discloses a five-axis series-parallel processing machine tool tool path post-processing method, which comprises the following steps: establishing a target test piece CAD model, importing a CAM software planning path, and generating an original tool location file containing a tool nose position and a tool axis direction vector; c4 continuous pH splines are inserted between corners and adjacent small line segments for fairing, and control polygon side length constraints are set; local synchronization is firstly carried out, and then a seven-time B spline is used for replacing a straight line segment to carry out global synchronization; key point speed limiting is conducted, feeding speed constraint is obtained in combination with multiple constraints, and the speed is planned through a mixed S-shaped curve; and S6, judging the position of an interpolation point, and selecting a corresponding mode for calculation. According to the technical scheme, the problems that fairing is sensitive, errors are difficult to control, pH splines are only C3 continuous, and parameters are not synchronous are solved, track continuity is improved, vibration and tracking errors are reduced, and machining precision and efficiency are improved.

The invention relates to a pure vision autonomous navigation method for a mobile robot based on ground structure line guidance. The method comprises the following steps: binocular-inertia joint perception and state estimation; carrying out ground area constraint and two-dimensional line segment extraction; performing line segment screening and geometric fitting based on motion direction constraint; carrying out three-dimensional parametric modeling and category discrimination on multiple types of ground structure lines; calculating a pose error of a relative structure line and constructing a reference trajectory; performing closed-loop motion control based on the Lapunov stability; carrying out key position judgment and motion decision making based on an image template; compared with the prior art, by introducing a visual guidance mechanism based on a ground structure line and fully utilizing natural ground structure characteristics such as a space structure boundary line, stable autonomous navigation of the mobile robot is realized without depending on artificial markers such as a high-precision map, GNSS (Global Navigation Satellite System) positioning, a two-dimensional code and a magnetic stripe; the dependence of the system on complex sensors and environment modification is effectively reduced, and the deployment and maintenance cost is remarkably reduced; meanwhile, through unified modeling of multi-type structural line features, the adaptive capacity and robustness of the navigation method in various application scenes such as warehouse logistics, park inspection, in-plant transportation and semi-structured roads are improved, high navigation stability and reliability can be kept in tasks such as fixed route inspection, lane keeping and back-and-forth running, and the navigation method is suitable for large-scale popularization and application. And the method has good engineering practical value and popularization and application prospects.

The invention relates to the determination of the angle of an obstacle with respect to a radar system. Especially the invention is concerned with the transformation of radar data into the angle domain. A method for transforming radar data of a coherent MIMO radar system to the angle domain is proposed. The coherent MIMO radar system comprises transmitter antennas (Tx) and receiver antennas (Rx) spanning a virtual 2D aperture wherein two lines defining two physical directions exist, which are not collinear and wherein a group of said antennas is associated with each of said two lines, and wherein the antennas of each of said two groups are spaced apart from each other mainly along the physical direction associated with the respective line of said two groups, where in the calculations to transform the received data from a delay / Doppler domain to an angle domain is carried out using a parameterization in a coordinate system that is a dual basis to a basis constructed from the two physical directions and a third direction being perpendicular to the first physical direction and said second physical direction, and wherein the origin is chosen to be the point of intersection of the lines defined by the two physical directions or the midpoint of the line segment connecting the points of closest contact of these two lines.

The invention discloses a terminal strip drawing terminal identification and cable connecting line matching method and system, and the method comprises the steps: obtaining the layer, geometric shape, text and other information of a terminal strip CAD graph, and extracting the needed line segment and text; training a target detection model, identifying a terminal strip area in the terminal strip drawing, and cutting out a sub-graph; adopting a sliding window method to cut the terminal row into a plurality of sub-graphs with a certain overlapping area; labeling table cells in the sub-graphs, making a data set, and training an RT-DETR model; inputting the sub-graph into the trained RT-DETR model for prediction, outputting cell coordinate information in the sub-graph, and restoring the cell coordinate information to the original graph; all cable connecting lines connected with the terminal strip area are calculated, and the cells representing the terminals are matched with the cable connecting lines according to the geometrical relationship. According to the invention, the matching relation between the terminal and the cable connecting line can be effectively detected, the structured data can be automatically generated, and rapid extraction and analysis of drawing information can be realized.

The invention provides a method, device and equipment for generating a three-dimensional scene based on a CAD drawing and a medium, and the method comprises the steps: importing a two-dimensional CAD drawing, and analyzing the two-dimensional CAD drawing to obtain line segments and block structures in the two-dimensional CAD drawing; identifying the types of graphic elements in the two-dimensional CAD drawing to determine an identified target object and target equipment; extracting geometric parameters of the target object from the two-dimensional CAD drawing, generating a three-dimensional basic structure of the target object according to the geometric parameters of the target object, extracting parameter information of the target equipment from the two-dimensional CAD drawing, and determining an initial three-dimensional equipment model of the target equipment in a preset database according to the parameter information of the target equipment; and performing scene fusion and rendering processing according to the three-dimensional basic structure of the target object and the initial three-dimensional equipment model of the target equipment, and determining a three-dimensional scene model of the two-dimensional CAD drawing. By adopting the technical scheme of the invention, the cost of generating the three-dimensional scene model can be reduced.

The invention provides a power distribution network line loss optimization method and system, and relates to the technical field of power distribution network line loss optimization, and the method comprises the steps: receiving local operation data collected by a measurement unit in real time, and generating the approximate resistance characteristics of a line segment based on the data and the operation information of an adjacent measurement unit, according to the method, approximate resistance characteristics and local operation data are fused to generate more reliable measurement data, an instantaneous power loss integral method is adopted to calculate instantaneous power loss aiming at bidirectional power flow and harmonic problems caused by distributed power supply access, and energy loss is generated through sliding time window integration. And according to the fused measurement data and energy loss, determining the global line loss of the power distribution network and generating an optimization control instruction, so that challenges such as complex operation environment, dynamic change of line parameters and bidirectional power flow of the power distribution network can be effectively handled, and the accuracy of line loss evaluation and the effectiveness of optimization control are remarkably improved. Accurate evaluation and efficient optimization of the line loss of the power distribution network are realized.

The application discloses a kind of based on image recognition three-dimensional simulation simulation method and auxiliary device, by the three-dimensional image is divided into several regional division after layering, obtain the image of multiple faces and be spliced, then select small size local filling edge detail part, ensure that each contour is completely covered, reduce the gap between line segment after the model is established in identification image, reduce error, avoid the part of unclear broken line in model and generate error information.The sweep plate in auxiliary device can limit and avoid the side wall of movable piece from being excessively squeezed, at this time, the side wall of vertical frame will be pulled outwards, so that the inside of vertical frame changes from vertical state to inclined angle and gradually increases, which can drive the scanner to scan the bottom side wall of target object at multiple angles.

To improve prediction accuracy of a route of a pedestrian to an obstacle.SOLUTION: The information processing apparatus 10 includes an acquisition unit 14 and a control unit 15. The acquisition unit 14 acquires an image from the imaging device 12 mounted on the mobile object 11. The control unit 15 predicts movement of a person included as a partial image in an image acquired by the acquisition unit 14. The control unit 15 can detect a person and an object included as a partial image in the image. The control unit 15 can calculate the positions of the person and the object based on the image. When an angle between a normal vector of a first line portion connecting both ends of an object detected from an image and a velocity vector of a person is an angle threshold in a case where the object is located within a predetermined range, the controller 15 predicts that the person will move toward a first point near one of the both ends.SELECTED DRAWING: Figure 1

The application discloses a medical information data query method and system based on artificial intelligence, and relates to the technical field of data query.The application solves the problems of low efficiency and low safety of the original retrieval mode.The path sequence is mapped to a characteristic line segment in a concentric circle set, the equal division point is aligned with the perpendicular line by rotating the characteristic circle, the multi-dimensional path matching is converted into one-dimensional coordinate positioning, the characteristic line segment is used as an index medium, even if the characteristic line segment is leaked, the real storage path cannot be reversely deduced, compared with the traditional plaintext path storage, the privacy leakage risk is reduced by more than 90%, and the characteristic circle needs to be rotated to align the equal division point with the perpendicular line to generate an effective characteristic line segment, which is different from the static encryption mode.The rotation trajectory changes dynamically each time, not only can the related processing process of fast retrieval be completed, but also the encryption process of the corresponding medical information can be guaranteed, and the privacy of the corresponding medical information is guaranteed.

The invention belongs to the technical field of road traffic management, and discloses a highway network vehicle running track operation method and system and a computer storage medium, and the method comprises the steps: collecting the running track data of a target vehicle based on satellite positioning; generating space vector information based on the moving trajectory data; on the basis of traffic characteristics of a road, encoding the moving trajectory data by using the spatial vector information to obtain a trajectory point vector code with a direction and a trajectory basic line segment code; according to the track point vector code and the track basic line segment code, executing preset road space vector operation to obtain an operation result; and constructing a road topological space according to the operation result so as to judge a road space relationship by utilizing the road topological space. According to the method, road space point locations, space relation judgment between road sections, road alignment study and judgment and the like can be realized based on operation, and the geographic position and the space relation of the road can be reflected more accurately.

The application discloses a kind of line segment anti-aliasing parameter optimization method based on objective image quality evaluation under airborne display scene, for line segment anti-aliasing transition width FW Dependence artificial visual debugging, time-consuming, poor consistency, and fixed parameter is difficult to adapt to multi-line width, multi-resolution, arbitrary slope line segment Problem, reference Alpha matrix is generated using SSAA supersampling, PSNR is used as objective quantitative evaluation index to traverse optimization, and optimal FW parameter is obtained automatically and solidified to airborne system.The application can adapt to arbitrary slope and angle line segment rendering, edge smoothing, stable and reliable display effect, small amount of calculation, convenient for hardware implementation, can significantly improve the vector line segment rendering quality and consistency of airborne flat display, helmet display and other scenes, meet the application demand of airborne strong real-time, high reliability.

A computer-implemented method for analyzing simulation results of a manufacturing or deformation process, comprising: obtaining simulation results, the simulation results comprising at least a geometry of a part (2) and a stress tensor (23) in the part (2) caused by a shaping process; for one or more origins (32) in a critical region (22), determining an origin line (3) by following a direction of maximum stress or a corresponding force; for each origin line (3), determining at least one line segment (31) of the origin line (3) and an origin trajectory (5) representing values of the stress or force directed along the origin line (3); and performing at least one of presenting information representing the line segment (31) and the origin trajectory (5) along the line segment (31) to a user and automatically adjusting parameters of the shaping process.

A method for segmented fitting of shield tunnel circumferential joints based on gradient value feature map density clustering includes the following steps: unfolding the tunnel's three-dimensional laser point cloud data to generate a two-dimensional grayscale image; calculating the vertical gradient values ​​of all pixels in the grayscale image, and generating a positive gradient value feature map A, a negative gradient value feature map B, and a comprehensive gradient value feature map C based on the magnitude and sign of the gradient values; determining the initial upper and lower edge row coordinates of the circumferential joint based on Figures A and B, and taking the middle row as the initial circumferential joint position; extracting pixels from the circumferential joint region in Figure C based on the initial circumferential joint position, performing cluster analysis, and dividing the circumferential joint region into several regions along the horizontal direction; identifying the upper and lower edges of the circumferential joint in each region, and calculating the center point as the center point of the circumferential joint in that region; sequentially connecting each point and extending to the image edge to form a broken line segment, thereby achieving segmented fitting. This invention achieves high-precision, adaptive segmented fitting of non-linear circumferential joints in shield tunnels, improving the accuracy and robustness of circumferential joint detection.

The present invention, as a preliminary process for a bending process simulation, collectively selects a plurality of line segments that are arranged on a straight line and that are subject to a simultaneous bending process. When identifying a line segment to be subjected to the bending process to divide the area with respect to a planar area representing a metal sheet, this jig selects both extreme ends of a plurality of line segments existing on the same straight line, thereby collectively selecting the plurality of line segments.

The application discloses a gluing path determination method and a computer storage medium. The method comprises the following steps: acquiring a contour map of a target workpiece to be glued; reordering each drawing element in the contour map to obtain an external gluing path of the target workpiece; determining a to-be-filled area in the contour map according to a filling instruction type of a user; generating a plurality of first directed line segments inside each to-be-filled area to obtain an internal gluing path of each to-be-filled area; and determining a complete gluing path for the target workpiece according to the internal gluing path of each to-be-filled area and the external gluing path.

A computer-implemented method for analysing a result of a simulation of a manufacturing or deformation process, comprisesretrieving the result of the simulation, comprising at least the geometry of the part (2) and stress tensors (23) in the part (2) caused by the forming process;for one or more starting points (32) in a critical region (22), determining a cause line (3) by following the stress or a corresponding force in the direction in which it is maximal;for each cause line (3), determining at least one line section (31) of the cause line (3), and a cause trajectory (5) representing values of a stress or a force directed along the cause line (3);and performing at least one ofpresenting information representing the line section (31) and the cause trajectory (5) along the line section (31) to a user; andautomatically adapting, parameters of the forming process.

The application provides a curvature-continuous AGV trajectory planning method and system, and relates to the technical field of trajectory planning. The method comprises the following steps: firstly, a two-dimensional coordinate system with the starting point as the origin is established, and the terminal position and angle information are obtained. Based on these data, the system determines the appropriate basic trajectory path type from the preset trajectory classification library, including straight lines, various types of curves, etc. Then, the basic trajectory is segmented and divided into a combination of straight line segments, gradual curve segments and circular arc segments. By calculating the gradual curve parameters and integrating each segment of the route, a trajectory information package containing complete attribute information is formed. Finally, the system verifies the passability of the trajectory to ensure that the finally generated trajectory meets the motion requirements of the AGV. The above method realizes the continuous and smooth change of the trajectory curvature by introducing a gradual curve as a transition segment.

The application discloses a handwriting corner point determination method and device, a storage medium and a terminal, and relates to the technical field of computer image recognition. First, the writing speed of each trajectory point in handwriting and the final curvature of each trajectory point are calculated, and the final curvature is the average of all curvatures of vectors formed by the trajectory point and other trajectory points in a preset range. Then, a trajectory point meeting a condition is selected as a first corner point. Finally, pseudo corner points in the first corner point are removed. Since the average of all curvatures of the trajectory point in the preset range is taken as the final curvature of the trajectory point, that is, the average of the cumulative curvatures of the sliding window is taken as the curvature of the window center trajectory point, the misleading of curvature mutation to corner point selection is reduced, the curvature mutation can be effectively smoothed, more accurate corner points can be selected, line segment fitting of handwriting is performed, pseudo corner points in the first corner point are removed, the pseudo corner points in the corner points can be effectively removed, and finally, correct corner points in the handwriting are determined.