6 results about "Contour tracing" patented technology

The invention discloses a gravitational lens critical curve contour tracking method and system based on nearest neighbor distance and geometric constraint, and relates to the technical field of image processing. The method comprises the steps that after a contour point set is obtained, double tolerance is carried out through a nearest neighbor distance method, an initial base line is determined through two-step tracking search, and the contour tracking process is accurately controlled by setting a direction tolerance parameter and a distance tolerance parameter. In the iteration process, combining a direction constraint (an included angle cosine value is greater than a preset threshold value) and a distance constraint (a distance proportion is smaller than the preset threshold value) to screen a next contour point, and performing nearest neighbor search again when a point conforming to the constraint is not found; meanwhile, a double-contour synchronous tracking method is provided, and the consistency of associated contours is ensured by synchronously exchanging corresponding points. The system comprises a geometric calculation module, a nearest neighbor searching module, a tolerance tracking module and a critical pair tracking module. The method improves the continuity and accuracy of contour tracking, is especially suitable for high-precision tracking of lens curve and critical-caustics peer-to-peer complex contours and multi-contour associated scenes, and can realize high-resolution and smooth contour extraction. Compared with a traditional method, the method has the remarkable advantages in the aspects of tracking precision, robustness and complex geometrical shape processing capacity.

This invention discloses a dynamic image analysis and measurement method and system for cassiterite mineral particles, specifically relating to the field of industrial vision analysis technology. It addresses the problem that existing methods struggle to accurately distinguish particle motion states and separate motion trails in dynamic flow fields, leading to inaccurate segmentation, tracking, and parameter measurement. By acquiring continuous frame images and extracting flow velocity characteristics of the flow field region, the method determines cross-frame displacement trends based on the overlap of neighboring pixel grayscale distribution and flow velocity characteristics. It extracts the stability of candidate particle contour morphology and performs matching verification. For matched particles, it constructs a flow velocity field constraint range and obtains a motion vector field. Combining the motion vector amplitude corresponding to the cassiterite mineral density, it uses density clustering to distinguish cross-frame displacement from independent multi-particle motion. High-speed moving particles are selected, and inter-frame grayscale gradient difference is used to separate motion trails from the true contour. Based on the motion type and the true contour, it completes target segmentation, contour tracking, and parameter measurement, improving the accuracy of particle analysis under dynamic conditions.

This invention relates to the field of optical component inspection technology, specifically disclosing a method and system for detecting prism manufacturing defects based on contour feature matching. The method includes: acquiring a surface image of the target prism, sequentially performing grayscale and binarization segmentation to obtain a binarized prism image; extracting the original contour point set through contour tracking; applying multi-level Gaussian filtering to the point set to calculate curvature characterization values, thereby segmenting the original contour point set into a straight line segment contour subset and a corner point contour subset; establishing straight line feature descriptors and corner point feature descriptors in parallel, and concatenating the features to obtain a contour feature vector; simultaneously acquiring the theoretical contour feature vector, comparing the differences between the two item by item to identify abnormal edge length regions and abnormal edge angle regions; finally, integrating the spatial locations of these two types of abnormal regions to generate a manufacturing defect distribution map, thereby marking the defect location and defect type of the target prism; this invention can improve the accuracy of prism manufacturing defect detection.

The present application relates to the field of metal 3D printing and machine vision detection, specifically to a kind of metal 3D printing defect vision detection system, comprising: image acquisition module: in dynamic processing process, the original image frame sequence of target area is collected;Characteristic evaluation module: extract features to generate basic feature map;And quantitatively analyze to generate illusion entropy representing the probability of pseudo feature generation;Strategy scheduling module: obtain the occupancy rate of computing resource;Judge the relationship between illusion entropy and occupancy rate and preset threshold;To generate downgrade or normal processing instruction;Image processing module: respond to normal instruction to generate first feature data for global pixel-level segmentation;Respond to downgrade instruction to generate second feature data for local morphological contour tracking;And generate surface feature anomaly detection result;The present application reduces the missed detection rate caused by continuous frame drop, improves the robustness of the system in the manufacturing scene.

Based on the transverse block of super large grid fast vectorization method, through the block, in turn, each block contour tracking; and based on the contour node counterclockwise trend characteristics, using the contour line turn boundary line method contour point sequence into the contour surface; for not contact with the interface line contour surface directly output to the vector file, and the remaining other with the block boundary contact face will be with the last block with the interface line contact face merging. Mainly through a kind of end point sorting after pairing, link segment line, again merging the idea of surface, to realize the adjacent face merging between blocks; after merging two blocks, still in the block lower boundary face, save to the face cache, will be used for the next block face merging operation; through the loop iteration, repeatedly on each block contour tracking-merge adjacent face operation, ultimately realize the whole grid vectorization effect, solve the problem of direct large grid vectorization consume a lot of memory.

The application discloses a cross-section map real-time synchronous display method and system based on GIS, relates to the technical field of geological modeling, and comprises the following steps: importing multi-source heterogeneous geographic data, performing standardized pretreatment, and generating a unified format geographic information dataset; performing multi-dimensional feature extraction on the geographic information dataset by using a feature-level fusion algorithm to construct a multi-dimensional geographic feature model fusing geological structure, terrain elevation and surface cover information; performing data optimization on the multi-dimensional geographic feature model based on a spatial interpolation algorithm to generate a continuous geographic surface model; and performing parallel contour tracing and topological sorting on a discrete cross-section line segment set to generate a self-defined cross-section map supporting interactive parameter adjustment in real time.