12 results about "Anisotropic filtering" patented technology

The invention relates to a multi-target detection method, which comprises the following steps of: based on multidirectional anisotropic filtering, effectively decoupling track main body texture and environmental background noise, and remarkably improving the feature expression capability and the signal-to-noise ratio in a low-contrast and complex texture environment; the fracture area of the track caused under the severe working conditions of partial shielding, light reflection and the like is positioned and repaired, and the connectivity and integrity of the output track on the topological level are guaranteed; by constructing a feasible region mask surrounding an orbit, spatial semantic ambiguity caused by a monocular vision perspective effect is eliminated, it is ensured that foreign matter alarm is strictly limited in a physical dangerous region, and the false alarm rate is greatly reduced. Through simultaneous extraction of the railway track topological structure and troubleshooting of the foreign matter risk in the track area, the detection precision under the complex working condition is significantly improved.

This invention discloses a method and system for detecting defects on highly reflective metal surfaces based on industrial vision, relating to the field of industrial vision. The method includes: scanning along the longitudinal direction of a rolling linear guide at a preset speed using a line-scan imaging unit to acquire an original polarized image sequence covering the polarization angle corresponding to the sliding surface of the guide; analyzing the original polarized image sequence, extracting the texture direction field, performing directional anisotropic filtering on the original polarized image sequence, and outputting an enhanced image sequence; using a preset sliding window to progressively capture local image blocks pixel by pixel, and using a scratch probability assessment model to output the probability value of the center pixel belonging to a minor scratch, generating a probability distribution map; performing connected component analysis, and determining continuous pixel regions with probability values ​​exceeding a dynamic activation threshold as minor scratch regions, thereby obtaining the minor scratch defect detection result. This method solves the problems of high false negative rates in highly reflective environments, the inability of fixed thresholds to adapt to reflective environments, resulting in extremely low detection accuracy and strong imaging interference.

The invention is entitled "Graphics Texture Mapping". When performing anisotropic filtering when sampling a texture to provide output sample texture values used in rendering output in a graphics processing system, the number of positions at which the texture is to be sampled along an anisotropic direction in the texture along which samples are to be taken in the texture is determined by determining the square root of the coefficients F of an ellipse of the form Ax 2 + Bxy + Cy 2 = F, the ellipse corresponding to a projection onto a surface to which the texture is to be applied of a sample point at which the texture is sampled, and using the determined square root of the coefficients F of the ellipse to determine the number of positions at which samples should be taken in the texture along the anisotropic direction.

This invention provides an image background noise suppression method based on anisotropic filtering with local contrast, belonging to the field of image processing technology. The method includes: Step S1, calculating the average gray value of pixels in a central neighborhood within a first specific range centered on the current pixel, obtaining the average gray value of the central neighborhood; Step S2, calculating the average gray value of background pixels in eight surrounding background neighborhoods within a second specific range centered on the current pixel, obtaining the average gray value of each of the eight background neighborhoods; Step S3, calculating the differences between the average gray value of the eight background neighborhoods and the average gray value of the central neighborhood in four directions, based on the average gray value of the central neighborhood and the average gray value of the eight background neighborhoods; Step S4, determining the gray value of the current pixel based on the differences in the four directions. This invention provides stronger local signal-to-noise ratio gain, clearer target boundaries, lower average background brightness, and faster calculation speed, enabling it to respond to high frame rate processing requirements.

This invention discloses a medical image segmentation method for urinary stones based on region connectivity, belonging to the field of medical image processing technology, to solve the problems of high-density bone interference and topological fragmentation in stone segmentation. First, a piecewise weighted mapping function is constructed to adaptively adjust the window width and perform anisotropic filtering on the image, generating a bone suppression feature map. Then, a maximum stable extremum region algorithm combined with anatomical priors is used to extract high-confidence seed points. A fast traversal algorithm is executed using a constructed gradient resistance field to detect geodesic temporal field abrupt changes to define boundaries, generating a simply connected mask. Finally, three-dimensional dense morphology and texture consistency features are fused for weighted discrimination to remove vascular calcification artifacts. This invention ensures the topological connectivity and high accuracy of the segmentation results.

This invention relates to the field of image data processing technology and discloses an adaptive enhancement method for image data in complex environments at the end of a high-speed railway platform. The method includes: acquiring an environmental image and extracting luminance components; performing spatial sampling to construct a luminance distribution matrix; calculating the luminance gradient vector of the sampling nodes to establish spatial weighting coefficients; using the spatial weighting coefficients to perform spatial filtering on the initial mapping gain to generate weighted components and achieve gain correction; calculating the luminance change rate to establish a temporal smoothing step size; performing temporal constraint adjustment on the mapping function control parameters to establish a cooperative mapping function; and using the cooperative mapping function to process the luminance components, identify low signal-to-noise ratio regions, and perform anisotropic filtering. This invention, through spatial weight association and temporal smoothing constraints, eliminates the slice-like effect caused by strong directional light sources, suppresses video flicker, and locks the topological features of the track edge while filtering out noise.

An apparatus, system, and computer program product for automatically switching between quality modes of an application based on a signal from the application. The apparatus includes an application renderer configured to render an application in a first quality mode. The application renderer is further configured to switch from rendering the application in the first quality mode to rendering the application in the second quality mode when a signal is detected from the application. The signal may be a rendering mode switching message provided by the application, detected from an image frame of the application, or detected from information (e.g., audio) received from the application. The signal may indicate a rendering setting of a second quality mode. Rendering settings may include active shaders, texture resolution, geometric detail levels, MIP map levels, anisotropic filtering, up-sampling levels, anti-aliasing, ray tracing, and global illumination.

The application relates to the technical field of integrated circuit design, in particular to a resource-friendly anisotropic filtering system. The system performs lightweight format conversion on an initial anisotropic ratio and an initial long axis length to obtain a reference anisotropic ratio and a reference long axis length, so that the storage bandwidth, operation units and other resources of a GPU chip are as low as possible under the premise of meeting the anisotropic filtering level calculation accuracy, thereby reducing the consumption of hardware resources of the GPU chip and improving the efficiency of anisotropic filtering level calculation.

When sampling a 3D texture using anisotropic filtering, an anisotropy direction along which to take samples in the texture is determined by determining reduced precision representations of the texture coordinate derivative vectors and using the reduced precision texture coordinate derivative vectors to determine a pair of vectors representing the directions of x and y axes for a 2D coordinate system on the plane in the 3D texture defined by the texture coordinate derivative vectors. The x and y axis vectors are used together with the texture coordinate derivative vectors to determine both a X-axis component and a Y-axis component for projected representations of the texture coordinate derivative vectors in the 2D coordinate system on the plane in the 3D texture defined by the texture coordinate derivative vectors. The projected representations of the texture coordinate derivative vectors are then used to determine the anisotropy direction.

The present application relates to the technical field of image segmentation, in particular to an automatic segmentation system for colorectal tumor CT images. The present application firstly constructs a three-dimensional model of the intestinal cavity, and obtains all flat areas and wrinkle areas, as well as the wrinkle intestinal wall area in each CT image; then, according to the local curvature information of each flat area, the flat area is filtered; in each CT image, the wrinkle extension direction is determined according to the distribution of each wrinkle intestinal wall area to perform anisotropic filtering on the wrinkle intestinal wall area; finally, based on all the filtering results, the three-dimensional model of the intestinal cavity is reconstructed, and the colorectal tumor is automatically segmented by means of a preset segmentation network. The present application is aimed at the structural characteristics of the colorectum, and different filtering methods are used for the flat areas and the wrinkle areas respectively, so that the noise is reduced while the wrinkle texture features of the colorectum are retained to the greatest extent, the over-smoothing of the intestinal wrinkle boundary and the tumor boundary is avoided, and the automatic segmentation effect of the colorectal tumor is improved.

The invention relates to the field of road safety protection, and discloses a cliff road section screening method and device, and the method comprises the steps: obtaining digital elevation model data and road vector data of a plurality of regions; performing anisotropic filtering processing for protecting topographic feature lines on the digital elevation model data; calculating a topographic slope map according to the filtered digital elevation model data, and screening the topographic slope map according to a preset slope threshold to generate a slope binary image; on the basis of the filtered digital elevation model data, generating contour line data according to a preset distance between preset contour lines, and obtaining a gradient candidate region set according to the road vector data; superposing the gradient binary image and the gradient candidate region set to obtain a cliff road section candidate region set; and obtaining a final cliff-near candidate area set according to the cliff-near road section candidate area set and the contour line data, and obtaining a complete cliff-near road section according to the road vector data and the final cliff-near candidate area set. According to the invention, the time and economic cost is obviously reduced, and the precision of cliff road section extraction is improved.

The invention discloses an integrated optimization design method for a thin-wall reinforced structure, and relates to the related field of ultra-lightweight structure design methods, and the method comprises the steps: building a topological optimization finite element model with the structural flexibility as a target and the volume fraction as a constraint; obtaining the relationship between the radius and the thin-wall thickness in isotropic filtering of a variable field for thin-wall morphology design; obtaining an isotropic filtering matrix used in a thin-wall morphology design variable field; through two-step anisotropic-isotropic filtering and Sigmoid projection operation, an intermediate field and a thin-wall field are extracted; performing anisotropic filtering and Sigmoid projection on the reinforcement variable field to obtain a rib field; combining the intermediate field, the thin-wall field and the rib field to construct a material interpolation model; calculating the flexibility of the structure; based on structural flexibility, density and sensitivity; and updating the thin-wall thickness field, the thin-wall morphology field and the reinforcement variable field according to the sensitivity. The lightweight design effect and efficiency of the thin-wall reinforced structure are improved, and the method has important engineering application value in multiple high-tech fields.