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42results about How to "Fast and robust" patented technology

Method of measuring meso-scale structures on wafers

A method of measuring at least one parameter associated with a portion of a sample having formed thereon one or more structures with at least two zones each having an associated zone reflectance property. The method includes the steps of illuminating the zones with broadband light, and measuring at least one reflectance property of light reflected from the at least two zones. The measurement includes a substantial portion of non-specularly scattered light, thereby increasing the quality of the measurement. The method further includes the step of fitting a parameterized model to the measured reflectance property. The parameterized model mixes the zone reflectance properties of the zones to account for partially coherent light interactions between the two zones.
Owner:TOKYO ELECTRON LTD

System and Method for Image Segmentation by Optimizing Weighted Curvature

A method for segmenting an object in a digital image includes computing, for each point vi in the image, weights wijk of a curvature clique vivivk for each successive pair of edges eij, eik incident on point vi, decomposing each curvature clique into pairwise edge weights to form a new set of edges by adding, for all points vj, vk, an edge eij with weight wij, an edge eik with weight wik, and an edge ejk with weight wjk, where weight wij equals weight wik equals ½ wijk, and weight wjk equals −½ wijk, computing an indicator function of the points of the image indicative of whether each point belongs to an object of interest by minimizing a functional of the indicator function, and segmenting the object of interest from the image based on the value of the indicator function x at each image point.
Owner:SIEMENS MEDICAL SOLUTIONS USA INC

Fast and robust multimodal remote sensing images matching method and system

A multimodal remote sensing image matching method and system integrate different local feature descriptors for automatic matching of multimodal remote sensing images. First, a local feature descriptor, such as the Histogram of Oriented Gradient (HOG), the local self-similarity (LSS), or the Speeded-Up Robust Feature (SURF), is extracted for each pixel of an image to form a pixel-wise feature representation map. Then, the three-dimensional Fourier transform (namely 3D FFT) is used to establish a fast matching similarity metric in a frequency domain based on the feature representation map, followed by a template matching scheme to achieve control points (CP) between images. In addition, the novel pixel-wise feature representation technique named channel features of orientated gradients (CFOG), which outperforms the pixel-wise feature representation methods based on the traditional local descriptors (e.g., HOG, LSS and SURF) in both matching performance and computational efficiency.
Owner:SOUTHWEST JIAOTONG UNIV

Least square migration imaging method and device based on L-BFGS algorithm

ActiveCN110888166AThe optimization process is robustRobust convergenceSeismic signal processingComputational physicsStatistical physics
The invention discloses a least square migration imaging method and device based on an L-BFGS algorithm. The method comprises steps of performing reverse time migration imaging according to an acoustic velocity model of a target exploration area and a common shot point record of the acoustic velocity model to obtain the initial imaging result; calculating record residual errors of the synthetic seismic record and the original observation record of the target exploration area according to the initial imaging result; calculating the gradient of a target functional relative to the initial imagingresult according to the record residual error; obtaining the second imaging result through an L-BFGS algorithm according to the initial imaging result and the gradient of the target functional with respect to the initial imaging result; and judging whether the record residual error and the calculation frequency of the L-BFGS algorithm meet a preset termination condition or not. The method is advantaged in that the optimal solution method of the L-BFGS is introduced, so the optimization process is prevented from falling into local optimization in the solving process of a nonlinear optimizationproblem, and the optimization process in the aspect of nonlinear optimization is more stable.
Owner:CHINA PETROLEUM & CHEM CORP +1

Methods and systems for optically connecting an optical fiber sensor to an optical shape sensing console

ActiveUS20200300614A1Not impose additional costBlock and restrict backloadabilityDiagnostic recording/measuringUsing optical meansOptical propertySingle fiber
The present invention relates to a method of and a system for optically connecting an optical fiber sensor (12) to an optical shape sensing console (21). The optical shape sensing console (21) has a number of single optical channels (C1, C2, C3). The optical fiber sensor (12) has a number of single fiber cores (A1, A2, A3) angularly spaced with respect to one another around a longitudinal center axis of the fiber sensor (12) and a fiber sensor connection end (30) for connection to an optical coupler (32; 38) connected to the shape sensing console (21). The optical coupler (32; 38) has the optical channels (C1, C2, C3) arranged for optical connection with the fiber cores (A1, A2, A3). A number of single calibration data sets indicative of individual optical properties of the single fiber cores (A1, A2, A3) is assigned to the single optical channels (C1, C2, C3). The fiber sensor connection end (30) is connected to the optical coupler (32; 38) such that a first fiber core (A2) of the fiber cores (A1, A2, A3) is in optical communication with a first optical channel (C1) of the optical channels (C1, C2, C3). An optical response of the first fiber core (A2) is measured by optically interrogating the first fiber core (A2) while a first calibration data set of the calibration data sets is assigned to the first optical channel (C1). The first fiber core (A2) is identified among the fiber cores (A1, A2, A3) of the fiber sensor (12) on the basis of the measured optical response of the first fiber core (A2) and the calibration data sets of the fiber sensor (12). If the first fiber core (A2) is identified as not matching with the first calibration data set used hi measuring the optical response, then a second calibration data set of the calibration data sets, which matches with the identified first fiber core (A2), is reassigned to the first optical channel (C1), or the fiber sensor connection end (30) and / or the optical coupler (32; 38) are repositioned such that a second fiber core (A1) matching with the first calibration data set is in optical communication with the first optical channel (C1).
Owner:KONINKLJIJKE PHILIPS NV

Reducing noise in 3D seismic data while preserving structural details

A system and method perform structure-preserving smoothing (SPS) using a data adaptive method for smoothing 3D post-stacked seismic attributes which reduces random noise while preserving the structure without prior computation of its orientation. The data is smoothed within a neighborhood sub-window along a set of predefined orientations, and the best smoothing result is then selected for output. The orientation corresponding to the best result often approximates the true structure orientation embedded in the data, so that the embedded structure is thus preserved. The SPS method can also be combined with median, alpha-trim, symmetric near neighbor, or edge-preserving filters. The SPS method is an effective way to reduce random noise and eliminate noise footprints, and to enhance coherence and curvature attributes.
Owner:SAUDI ARABIAN OIL CO

Bundled wire component separator and contact assembly

A separating and contact assembly into which a sheathed or bundled wire cable may be inserted having separating fins to separate the component wires of the bundle guided through separate channels to terminal contact areas conductively coupled to relay contact areas.
Owner:SNYDER ROBERT V
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