11 results about "Boundary segment" patented technology

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.

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 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 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 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 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 discloses a kind of intermediate representation dataset construction methods for clothing simulation, comprising: obtaining the original data of clothing simulation;The uniform pretreatment of coordinate system and unit is carried out to original data, and directed boundary section is constructed in the two-dimensional local coordinate system of pattern;According to the pattern identification and boundary identification information of each directed boundary section, obtain edge unique identification edge_uid, wherein the boundary identification information includes one or more of source edge identification, boundary ring number, section serial number, endpoint index v0 and v1;Based on the original data after pre-processing and edge_uid, intermediate representation sample is constructed;Based on intermediate representation sample, generate reproducible running package and execute clothing simulation, obtain simulation result;Simulation request side analysis configuration and / or final actual effective simulation option is written into output metadata file;Based on a plurality of intermediate representation samples, simulation result and output metadata file, obtain index file, form clothing intermediate representation dataset.

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 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.