Siemens Corporate Research, Inc.

Siemens Medical Solutions Usa, Inc.

Princeton University

Siemens Energy, Inc.

Siemens Corporation

Siemens Westinghouse Power Corporation

Siemens Power Generation, Inc.

Ming Fang

Claus Neubauer

Shang-Hong Lai

Tong Fang

Chao Yuan

Zehra Cataltepe

Li Zhang

Jenn-Kwei Tyan

Jason Jenn-Kwei Tyan

Jianzhong Qian

Hans-Gerd Johann Brummel

Richard D Bang

Wesley McCorkle

Zhenyu Wu

Stuart C Schwartz

Helmuth Schramm

Sun-Yuan Kung

Ajit Singh

Cheng-Chung Liang

Jie Cheng

Keith Michael Andress

Long-Ji Lin

Bohong Zhang

Shang-Hung Lin

A method for segmentation of a ground glass nodule included in a volume of interest in a medical image and segmented by a process such as a Markov random field process, includes: identifying vessels in the volume of interest; segmenting the vessels; and removing segmented vessels from the segmented ground glass nodule.

Method and system for ground glass nodule (GGN) segmentation with shape analysis

A system and method for object inspection includes an object modeler; an iterative object segmentor in signal communication with the object modeler for receiving an input image and model parameters and producing a segmented image; a moment transformer in signal communication with the iterative object segmentor for receiving an input image, model parameters and a segmented image and producing estimates of object translation, rotation and scaling; an edge detector and interpolator in signal communication with the moment transformer for receiving an input image, model parameters and estimates and producing a set of line edges; and an iterative optimizer in signal communication with the edge detector and interpolator for receiving an input image, model parameters, estimates and line edges and producing refined estimates of object translation, rotation and scaling.

Model-based localization and measurement of miniature surface mount components

A system for updating a plurality of monitoring models is provided. The system includes a model association module that, for each of a plurality of monitored systems determines, an association between a particular monitored system and at least one of a plurality of estimation models. Each estimation model is based upon one of a plurality of distinct sets of estimation properties, and each set uniquely corresponds to a particular estimation model. The system also includes an updating module that updates at least one of the estimation properties and propagates the updated estimation properties to each estimation model that corresponds to a distinct set containing at least one estimation property that is updated. The system further includes a model modification module that modifies each estimation model that corresponds to a distinct set containing at least one estimation property that is updated.

System, device, and methods for updating system-monitoring models

A system and method for synchronously processing ear shells for hearing aids comprising: loading data associated with a first and second ear shell; determining whether to perform a rigid or non-rigid registration of the data associated with the first and second ear shells, wherein the rigid registration is performed when shapes of the first and second ear shells are within a predetermined threshold, and the non-rigid registration is performed when the shapes of the first and second ear shells are not within the predetermined threshold; registering the data associated with the first and second ear shells; processing the first and second ear shells, wherein the processing is synchronously performed; and outputting the processed first and second ear shells to a display device.

Synchronized processing of ear shells for hearing aids

A joint approach of out-of-range detection and fault detection for power plant monitoring. The method initially determines whether a sensor is an independent sensor or a dependent sensor. If the sensor is an independent sensor, then an operating range is established for each independent sensor. A reading from each independent sensor is then compared with the operating range that has been established. If the reading is out-of-range, an alarm may be activated. If the reading is not out-of-range, then this reading is used to determine an expected operating range for each dependent sensor. A reading from each dependent sensor is then compared with the predicted operating range. Again, if the reading from the dependent sensor is out of the expected range, an alarm may be sounded.

Joint approach of out-of-range detection and fault detection for power plant monitoring

A method for aligning a pair of digital images includes providing a pair of digital images, wherein each said image comprises a plurality of intensities corresponding to a domain of points in a D-dimensional space, and the pair of images present adjacent views of a same object of interest. A weighting function is applied to each image of the pair of images, wherein the weighting function is centered on the object of interest, the weighting function has a maximum value on the object of interest, and the value of the weighting function decreases with increasing distance from the object of interest. The pair of images is aligned by correlated the weighted intensities on one image with those in the other image.

Method and system for focus-adaptive reconstruction of spine images

A system and method for ground glass nodule (GGN) segmentation is provided. The method comprises: selecting a point in a medical image, wherein the point is located in a GGN; defining a volume of interest (VOI) around the point, wherein the VOI comprises the GGN; removing a chest wall from the VOI; obtaining an initial state for a Markov random field; segmenting the VOI, wherein the VOI is segmented using the Markov random field; identifying vessels in the volume of interest; segmenting the vessels; and removing segmented vessels from the segmented ground glass nodule.

Method and system for ground glass nodule (GGN) segmentation using a Markov random field and shape analysis

A system and method for modeling binaural shells for hearing aids, wherein the system is configured to load data associated with a first and a second ear shell. The system is further configured to register the data associated with the first and the second ear shells and process the first ear shell and the second ear shells, wherein the processing on the first ear shell is automatically performed on the second ear shell.

Automatic binaural shell modeling for hearing aids

A computer-implemented method for inspecting BGA components using a ball grid array model thereof in semiconductor surface mounted devices. The method comprises setting a plurality of regions of interest (ROIs) for all BGA balls to be modeled, building a first grid model that includes coordinates and a diameter of the BGA balls in the plurality of ROIs, setting a plurality of regions of interest (ROIs) containing a BGA body to be modeled, detecting four body boundaries to localize four corner coordinates, determining a body orientation from orientations of four boundaries, calculating an orientation of each boundary by the projection of the edge of boundary, and comparing the BGA components with an obtained BGA model to inspect the BGA components based on ball sizes and ball distributions.

Ball grid array modeling for inspecting surface mounted devices

A system and method for ground glass nodule (GGN) segmentation is provided. The method comprises: selecting a point in a medical image, wherein the point is located in a GGN; defining a volume of interest (VOI) around the point, wherein the VOI comprises the GGN; removing a chest wall from the VOI; obtaining an initial state for a Markov random field; and segmenting the VOI, wherein the VOI is segmented using the Markov random field.

System and method for ground glass nodule (GGN) segmentation

A tool for sensor management and fault visualization in machine condition monitoring. The method and system are able to monitor a plurality of sensors at one time. The sensors may be used in a power plant system monitoring system. The method and system may display a fault status for each sensor in the plurality of sensors in a single display, wherein the fault status for each sensor is displayed over time. The method and system also provide a mechanism that permits a user to examine details of each sensor in the plurality of sensors at any given time. In addition, the method and system are capable of categorizing each fault in the fault status using one or more properties or categorizing criteria. The method and system also permit sensors to be tested such that different operating models may be examined by utilizing different sensors.

Tool for sensor management and fault visualization in machine condition monitoring

A method for obtaining confidence measure of a ball grid array (BGA) model having a plurality of balls in semiconductor surface mounted devices is provided. The method comprises the steps of extracting BGA images from a real surface mounted device, generating a BGA ball model and a BGA body model, generating a first confidence measure of the BGA ball model wherein the first confidence measure includes a first standard deviation of the BGA ball model and a first local image contrast of each BGA ball, and generating a second confidence measure of the BGA body model wherein the second confidence measure includes a second standard deviation of the BGA body model and a second local image contrast of the BGA body.

Method for measuring confidence of ball grid array model in surface mounted devices

A method for object localization comprises defining an edge model for object localization, and searching an image for an object matching the edge model. Searching comprises defining a region of interest, including a portion of the object, sub-sampling the region of interest, and extracting an edge image comprising edges from the region of interest. Searching further comprises thinning at least one edge of the edge image, determining a distance map between the image and the edge image according to a distance transformation, and matching the edge model to the edge image within a search area defined according to the distance map.

Fast two dimensional object localization based on oriented edges

A system and method for electronic archival of paper-based technical drawings includes a system having a processor, a form learning unit in signal communication with the processor for learning the form of a model drawing image, a form localization unit in signal communication with the processor for localizing the form of an input drawing image, an optical character recognition unit in signal communication with the processor for optically recognizing identification text of the input drawing image, and a result verification unit in signal communication with the processor for verifying the results of the recognized identification text of the input drawing image; and further includes a method for providing a model drawing image, learning the form of the provided model drawing image, receiving an input drawing image, localizing the form of the input drawing image, optically recognizing identification text of the input drawing image, verifying the results of the recognized identification text of the input drawing image, and storing the input drawing image and the corresponding verified identification text into a drawing database.

Automatic document reading system for technical drawings

A system and method for recognizing markers on, e.g., a PCB (printed circuit board). In one aspect, a system for recognizing a marker in an image comprises an image capture module () for extracting image features associated with an input image of a ROI (region of interest) captured through a lens, an image processor () comprising a first marker recognition processor () for recognizing a marker in the input image based on a normalized correlation and a second marker recognition processor () for recognizing a marker in the input image based on gray value histograms; a training modulefor building template images and histograms that are used by the image processor () to detect a marker in the input image and a database () for indexing and storing trained template images and trained histograms.

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Princeton Jct., NJ, United States of America

Ming Fang