24 results about "Boundary segment" patented technology

The invention relates to the technical field of contour extraction, in particular to a knitted label edge contour extraction and optimization method, which comprises the following steps of: extracting an image edge gray scale trend and acquiring a fracture coordinate, extracting an edge track to generate a connection path, reconstructing an interference region connection path, converting rough edge region path distribution and screening out an abnormal path. According to the method, the gray abrupt change and edge interruption features in the image are identified, the fracture area is accurately positioned, structural integrity identification is enhanced, space correlation and direction fitting are carried out on edge endpoints in the interference area, the boundary recovery capability and the closure degree are improved, abnormal path segments are screened out through polar distribution, and therefore the detection accuracy is improved. Control nodes are set based on the position relation between the boundary segments and the overall chain, a boundary joint trend coordination structure is fused, the contour consistency and robustness under the complex background are improved, and the coherence recognition capability and extraction precision are enhanced.

The present application relates to the field of natural resource investigation and geographic information processing, and discloses a multi-modal data fusion and ground object boundary identification processing method for field verification; current phase remote sensing images of a region to be verified, reference vector map patches, historical land attribute data, positioning trajectory data of a field verification terminal and a field photo collection correlation field template are acquired to construct a patch-level multi-modal basic data set; candidate ground object segmentation results and change area results are extracted to determine suspected problem patches; a boundary uncertainty band is generated for the boundary of the suspected problem patches and the to-be-verified boundary segments are divided; shooting guidance is triggered during the field verification process, field photos are collected, coarse registration and fine registration with local remote sensing images are completed; edge features of the field photos are back-projected to a map coordinate system to form a field confirmation boundary point set, the boundary of the suspected problem patches is corrected, verification confirmation patches are obtained, and patch-level verification evidence data is formed.

This invention discloses a blind zone detection method for handheld point cloud scanning based on the interaction between the acquisition area and the boundary, relating to the fields of 3D scanning and point cloud data processing technology. The method first acquires the device pose and local point cloud, preprocesses it, and then transfers it to a global horizontal coordinate system. A boundary feature extraction engine is used to identify room boundary lines and project them to form a 2D boundary contour map. Simultaneously, an effective acquisition loop is dynamically constructed and projected based on the effective measurement range parameters of the laser scanner and the current ambient lighting conditions. Boolean operations are performed on the effective acquisition loop and the boundary contour map to identify uncovered boundary segments as potential blind zones. The occlusion state is determined using the temporal information of continuous frame point clouds and a ray casting algorithm to identify the effective blind zone. This invention reduces the 3D integrity determination to 2D planar geometric intersection, eliminating the need for prior models and enabling real-time identification of dynamic occlusion and acquisition blind zones. This results in high computational efficiency and significantly improves the success rate and coverage integrity of handheld scanning operations.

This invention relates to the field of farmland remote sensing monitoring technology, and discloses a method for farmland boundary extraction using a combination of UAV remote sensing and lidar. The method first acquires a set of oblique UAV photographic images of the target area, airborne lidar point cloud data, and shooting attitude parameters to extract an initial visually recognized boundary line. Then, a discretized local polar coordinate occlusion perception model is constructed to screen boundary segments to be compensated. Subsequently, candidate canopy point clouds are extracted based on the boundary segments to be compensated, and the equivalent occlusion canopy height is calculated. A multi-view occlusion shrinkage compensation vector set is constructed to determine the visually corrected boundary points. Finally, lidar reference boundary points are extracted, and the farmland physical boundary line is reconstructed after dual-track consistency verification. This invention can effectively eliminate the systematic shrinkage deviation of the boundary caused by crop canopy occlusion under oblique perspectives, ensuring the boundary positioning accuracy in scenarios such as farmland rights confirmation.

This specification discloses several embodiments that provide a route planning method, apparatus, and computing device. The starting point and ending point of the navigation route are considered as the corresponding travel boundary points. The starting road segment matched by the starting point and the ending road segment matched by the ending point are considered as the travel boundary segments matched by the travel boundary points. Based on the first type of travel boundary segments that are close to the travel boundary points, a second type of travel boundary segments that may not be close enough to the travel boundary points but are still suitable as travel boundary segments are further identified.

The application belongs to the technical field of nuclear reactor physics numerical calculation, and discloses a symmetric boundary processing method and system of a neutron transport characteristic line method. A geometry core model is constructed through an MOC program, boundary conditions of the geometry core model are set, the geometry core model is arranged with characteristic lines to obtain characteristic line arrangement information, symmetry of the geometry core model is set, a corresponding additional module is generated, an equivalent complete module of the additional module is generated according to the symmetry based on the additional module, boundary segment angular flux of the equivalent complete module is calculated, and the equivalent complete module is calculated according to the characteristic line arrangement information and based on the boundary segment angular flux of the equivalent complete module and a known source term distribution to obtain the equivalent complete module. The application realizes reduction of the difficulty of characteristic line arrangement of the additional module, and further improves the efficiency of neutron transport calculation.

Systems and methods are provided for planning an agricultural operation for an agricultural machine in a working environment. This Includes determining a boundary for the working environment; determining a plurality of boundary segments for the boundary; and determining, for each of the boundary segments, a candidate operational path. A performance metric associated with the determined operational path for the boundary segment is used to select a primary boundary segment which is optimized for a given metric of the operation. Operational components associated with the agricultural machine can then be controlled based on the determined operational path, e.g. to guide the machine along the path or present the path to an operator.

The invention relates to the technical field of path control, in particular to a path planning method and system for an agricultural robot, and the method comprises the following steps: obtaining a path coordinate direction angle and recognizing a sudden change interval, marking boundary points to generate a correction reference set, and filing a path control record. According to the method, the agricultural robot path direction angle change is used as a continuous quantity to be sorted and output, the judgment basis of the steering change trend is established, the distribution sequence of the path jump interval is combined, the direction sudden change concentrated area is accurately recognized, the structure conversion node position is delimited, and the front-back direction change trend of the path is used as the basis. Removing non-transverse conversion nodes and extracting the non-transverse conversion nodes as boundary points, dynamically generating forward reference points according to the difference between the current position and the path direction when approaching a boundary section, and performing redirection angle conversion to realize path control attitude adjustment, and synchronizing the archiving path state and the adjustment behavior; and the precision of agricultural robot path identification, the flexibility of steering adjustment and the integrity of operation records are improved.

The present application relates to the technical field of contour extraction, in particular to a knitted label edge contour extraction and optimization method, comprising the following steps: extracting image edge gray trend and obtaining broken coordinates, extracting edge track to generate a connection path, reconstructing the connection path of the interference area, converting the path distribution of the burr area and screening out abnormal paths, and fusing the boundary structure to generate a label contour structure, in the present application, by identifying the gray mutation and edge interruption characteristics in the image, the broken area is accurately positioned, the structural integrity recognition is enhanced, the spatial correlation and direction fitting of the edge endpoints in the interference area are performed, the boundary recovery ability and closure degree are improved, the abnormal path segments are screened out through polar distribution, the burr influence is suppressed, the geometric stability is ensured, the control nodes are set based on the position relationship between the boundary segments and the overall chain, the trend coordination structure of the boundary connection is fused, the contour consistency and robustness in complex background are improved, and the coherent recognition ability and extraction accuracy are strengthened.

The invention relates to the technical field of face recognition, in particular to a deep counterfeit face detection method based on fusion boundary features, and the method comprises the steps: specifying a light source requirement according to the skin color contrast in an initial image of a target recognition user; determining whether the specified light source execution requirement is qualified based on the facial brightness difference; determining an action direction of a specified action based on the face brightness difference; acquiring a frame-by-frame image when the target identification user makes a specified action so as to identify a hair and face junction area of each frame of image, and extracting a fusion boundary line; dividing into a plurality of boundary sections based on the fusion boundary line; acquiring corresponding fusion boundary coordination parameters based on the plurality of boundary segments to determine a plurality of high-risk boundary segments; calculating verification consistency characterization parameters based on the boundary time sequence and the light and shadow time sequence of the plurality of high-risk boundary segments; and determining a fake face risk value of the target recognition user based on the verification consistency characterization parameter and the high-risk boundary section proportion. According to the invention, the dynamic face counterfeiting detection precision is improved.

Embodiments of the present application relate to the technical field of machine control, and disclose a control method, system and device for a mobile robot. In the present application, in the process of tracking the boundary of a working area before mapping, after the initial boundary points of the boundary of the working area are extracted, the boundary points are subjected to optimization and adjustment processing easy for the mobile robot to track online, and the adjusted and optimized boundary points are used as the boundary points actually tracked by the mobile robot, so that in the process of boundary tracking, the mobile robot can only recognize the effective boundary section that can be tracked and walked through, approach the boundary section and accurately track the boundary section, thereby realizing tracking of the boundary of the working area.

The present application relates to the technical field of topographic mapping, and particularly relates to a geological area mapping precision optimization method, which comprises the following steps: obtaining initial mapping data of a target geological area and extracting candidate boundary segments to form a candidate boundary belt; generating a conflict belt priority sequence according to a cross-scale stability index of the candidate boundary belt, a difference in neighborhood feature distribution on both sides and a misjudgment influence value; performing normal penetration re-measurement and tangential tracking re-measurement according to the conflict belt priority sequence, determining a boundary position and updating the candidate boundary belt; and performing constraint reconstruction according to the updated candidate boundary belt and outputting a mapping result. The present application can improve the accuracy of key boundary identification, enhance the re-measurement pertinence and maintain the real boundary in the reconstruction result.

The application discloses a CT image enhancement processing method for tumor boundary recognition, and relates to the technical field of medical image processing. The method comprises the following steps: S1, performing multi-scale decomposition on an original abdominal CT image, and obtaining a preprocessed coarse scale component and a preprocessed fine scale component through a multi-scale feature decoupling network; S2, fusing the preprocessed coarse scale component and the preprocessed fine scale component, obtaining a corresponding CT enhanced image, and obtaining an initial boundary contour of the CT enhanced image; and S3, according to the initial boundary contour, obtaining an uncertainty score corresponding to each sampling point, determining a corresponding low-confidence boundary segment, and performing decomposition and enhancement processing on the low-confidence boundary segment to obtain a final tumor boundary contour. The application can specifically correct unreliable parts in the boundary contour, significantly improves the clinical reliability and robustness of the final tumor boundary contour, and avoids overall boundary errors caused by local blurring or noise.

This application provides a method for determining cover positions, an occlusion method, corresponding devices, and electronic devices, relating to fields such as games, artificial intelligence, cloud technology, automatic navigation, and blockchain technology. The method includes: determining each boundary segment of a navigation grid within a predetermined range, and generating candidate query points on each boundary segment; performing ray detection on each candidate query point based on at least one direction to obtain the collision situation of each candidate query point; and determining the candidate query points with collision situations as query points, which are used to determine the position where virtual objects are occluded using cover in the virtual environment. This application embodiment can achieve accurate and efficient cover location, providing a basis for virtual characters to locate cover, thereby improving the accuracy of human-computer interaction in the virtual environment.

This invention provides a method and system for dynamic generation and early warning of UAV electronic fences, relating to the field of electronic fence technology. The method includes: obtaining image acquisition quality parameters of the UAV based on feature points of the target area and images acquired by the UAV in real time; performing dynamic evaluation of sampling accuracy based on the task priority level of the electronic fence generation command and the image acquisition quality parameters of the UAV, and performing dynamic adjustment of sampling configuration based on the task requirement parameters and sensor performance parameters of the electronic fence generation command according to the dynamic evaluation results; performing dynamic adjustment of the update speed based on the relationship between the UAV flight speed and the update speed of each boundary segment according to the task priority level of the electronic fence generation command; and performing UAV electronic fence generation and early warning based on the dynamic adjustment results of the sampling configuration and the dynamic adjustment results of the boundary update speed, thus achieving adaptive dynamic matching between the electronic fence boundary update speed and the real-time flight status of the UAV.

This invention discloses a method for reconstructing B-splines from irregular triangular mesh surface patches, relating to the fields of computer-aided design and geometric modeling. The method includes: mapping irregular triangular mesh surface patches onto a two-dimensional parameter plane and expanding it to obtain a parameter domain for constructing the B-spline surface; constructing a UV mesh on the parameter domain, including node vectors in the U and V directions and step sizes in the U and V directions; estimating the Hermite information of each mesh point in three-dimensional space; constructing the B-spline surface based on the estimated Hermite information; extracting and segmenting the irregular triangular mesh surface patches into boundaries; interpolating the boundary segment points to fit and generate boundary curves; and using the boundary curves to trim the B-spline surface to obtain the final trimmed surface. This invention is applicable to irregular triangular meshes with arbitrary topologies, effectively handling complex boundaries and holes, and reconstructing a smooth surface with good shape preservation.

This invention discloses an intelligent analysis and management system and method for land surveying data, relating to the field of geographic information data processing technology. The method includes: establishing a topological hierarchy chain of land surveying point, line, and area results according to element identifiers, layer identifiers, and version identifiers; locking the original coordinates of key surveying points; generating a set of surveying topological units; verifying the boundary vertices in the set of surveying topological units through local curvature verification; and using arc length sequence dynamic regularization to match adjacent map sheets and historical version boundaries to obtain boundary continuity records; constructing the set of surveying topological units, the original coordinates of key surveying points, and the boundary continuity records into a multi-scale simple complex sequence; and obtaining the continuous homology signatures corresponding to connected components and ring structures. This invention uses a topological signature inverted index table to reverse locate specific boundary points, boundary segments, map patch boundaries, and parcel ground, improving the location accuracy of land surveying problem records.

This invention discloses a post-processing method and system for identifying the boundaries of vitiligo lesions, belonging to the field of digital image processing technology. It addresses the problem of inaccurate boundary recognition under complex imaging conditions due to reliance on color features in existing technologies. The method includes: acquiring a grayscale image and performing edge detection to obtain an initial set of boundary line segments; filtering out blurred transition zone boundary segments based on local gradient features; performing gradient direction consistency analysis on the blurred transition zone region, and performing adaptive enhancement based on the original gradient magnitude on heterogeneous regions to obtain enhanced boundary regions; removing isolated noise clusters within the enhanced boundary regions to determine the irregular structures to be integrated; and calculating the spatial distance between each irregular structure to be integrated and the main boundary set. This invention has significant advantages in image recognition and enhancement, overcoming the limitations of color features, and significantly improving the accuracy and robustness of boundary recognition by fusing local gradient heterogeneity analysis and geometric structure reasoning.

This invention relates to the field of database structure and information retrieval technology, specifically to a method and system for dynamic updating of a geographic information (GIS) database. The method includes the following steps: acquiring remote sensing images to extract boundary nodes; calculating multi-temporal location differences to form a change sequence; removing duplicate moving nodes to obtain continuous change information; extracting abrupt boundary changes based on thresholds; and assigning status identifiers to construct a dynamic GIS update structure. In this invention, a boundary structure is constructed based on node location and time identifiers to achieve continuous expression of boundary changes. Spatial differences are used to generate change sequences, improving the accuracy of dynamic boundary identification. By eliminating duplicate moving trajectories, interference information is reduced, enhancing the accuracy of change extraction. Abrupt change identification and boundary reconstruction mechanism is introduced to strengthen the ability to capture abnormal disturbances. Status identifiers are used to map boundary segments, improving the association relationship of boundary attributes and enhancing the expression efficiency and system responsiveness of data updates.

This invention relates to the field of operational status monitoring technology, specifically to an intelligent monitoring method and system for the operational status of construction machinery. The method includes the following steps: based on the onboard controller of the construction machinery, time-scale alignment of control channel signals and vibration signals is performed; the control signal change boundaries are identified based on this sequence; vibration response segment sets are determined by combining vibration frequency changes; and the changes in continuous operation boundary intervals are checked to determine abnormal operating conditions. This invention corrects the offset relationship between control signals and response time periods by constructing a unified time-scale sequence; determines the start and end boundary segments of actions based on slope inflection and change direction; analyzes the correlation between pressure switching and frequency fluctuations by combining vibration handover positions; compares the changes in continuous operation response intervals to form offset distribution characteristics; comprehensively corrects the state attribution range by integrating multi-dimensional change directions; reduces the misalignment effect caused by signal asynchrony; distinguishes between action switching boundaries and component coupling interference; and enhances the ability to identify abnormal states under complex operating conditions.

The application relates to a road boundary data processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises: acquiring road boundary data representing a road; determining a first segmentation point based on a first road boundary and a second road boundary, determining a second segmentation point on the opposite boundary of the road boundary where the first segmentation point is located according to the first segmentation point; segmenting the road boundary where the first segmentation point is located into a plurality of first boundary segments, segmenting the road boundary where the second segmentation point is located into a plurality of second boundary segments, and the plurality of first boundary segments and the plurality of second boundary segments forming a plurality of boundary segment pairs each consisting of one first boundary segment and one second boundary segment opposite to each other; performing position point interpolation on each boundary segment pair to obtain a processed boundary segment pair, the two boundary segments included in the processed boundary segment pair having the same number of position points; and splicing the boundary segments of the same road boundary to obtain a pair of processed road boundaries.

The invention discloses a solute transport process simulation method based on a hydrogeological model, and the method comprises the steps: obtaining a boundary water head time sequence and a boundary water passing amount sequence at the outer boundary of a large-range model, and carrying out the area weighted interpolation and surface flux allocation according to the boundary surface position of a small-range model to generate a boundary mapping table; setting an interface check zone on the inner side of the outer boundary according to the boundary mapping table, reading a unit water head value and a mapping water head value on the inner side of the check zone, calculating flux by combining adjacent unit water head difference and boundary infiltration capacity, and generating a boundary section-by-boundary flux correction factor during threshold exceeding; a flux correction factor is used for correcting a mapping normal water flow value to form a consistent boundary condition, solute transport simulation is executed, a solute plume mass center track and a migration direction sequence are output, a solute plume deflection index is calculated, and a boundary splicing risk mark is judged; and according to the risk mark, adjusting an interface to check the number of turns, iteratively updating a consistent boundary condition, and reducing the consistency and availability of a simulation result and field monitoring.

The application discloses a kind of unmanned plane surveying and mapping plot area automatic accounting method and system, it is related to unmanned plane surveying and mapping and geographic information data processing technical field, including integrity inspection and usability classification shunt to aerial survey image and time, position, attitude data;To the processable data generation calculation base map and form correction source classification and accounting work surface;Generate boundary candidate cluster and complete boundary segment classification and to be adjudicated mark;Through shared boundary linkage adjudication, complete area initial calculation and reliability classification;Implement differentiating check and abnormal review, output final draft candidate or to be manually confirmed result, and complete accounting basis trace.This method is described in the application, by pre-position classification shunt to aerial survey data, base map correction source classification, boundary segment classification and shared boundary linkage adjudication, realize area initial calculation reliability classification and differentiating review process, can effectively reduce error propagation and boundary attribution conflict, improve the precision of plot area automatic accounting.