Abstract: A method to automatically quantify dendrite arm spacing in dendritic microstructures. Once a location of interest in a cast material specimen has been identified, the information contained in it is automatically analyzed to quantify dendrite cell size information that is subsequently converted into a quantified dendrite arm spacing through an empirical relationship or a theoretical relationship. In one form, the relationship between DCS and DAS is such that the DAS in dendritic structure of cast aluminum alloys may be automatically determined from the measurement of one or more of dendrite cell size and the actual volume fraction of the eutectic phases in the local casting microstructure. Non-equilibrium conditions may be accounted for in situations where a theoretical volume fraction of a eutectic phase of the alloy in equilibrium condition is appropriately modified.

Abstract: A methodology for detecting image anomalies in a target area for classifying objects therein, in which at least two images of the target area are obtained from a sensor representing different polarization components. The methodology can be used to classify and/or discriminate manmade objects from natural objects in a target area, for example. A data cube is constructed from the at least two images with the at least two images being aligned, such as on a pixel-wise basis. A processor computes the global covariance of the data cube and thereafter locates a test window over a portion of the data cube. The local covariance of the contents of the test window is computed and objects are classified within the test window when an image anomaly is detected in the test window. For example, an image anomaly may be determined when a matrix determinant ratio of the local covariance and the global covariance exceeds a probability ratio threshold. The window can then be moved, e.g.

Abstract: A spectral image data processing apparatus which conducts multivariate analysis on spectral image data of a sample, including: a region setting unit configured to set a region of interest for performing multivariate analysis in a sample in which a difference needs to be distinguished, the region of interest being set in accordance with spectral image data of the sample; and an analysis unit configured to perform the multivariate analysis with spectral image data inside the region of interest and spectral image data of region of non-interest which is a region other than the region of interest being distinguished from each other.

Abstract: Provided is a new hierarchical methodology having a series of computational steps such as adaptive window creation, 2-D SWT application, masking, and boundary tracing is proposed. The techniques and systems are able to detect and quantify fracture as well as to generate recommendations for decision-making and treatment planning in traumatic pelvic injuries.

Abstract: A cell monitoring device includes an outline detecting section that detects edge pixels from a cell image in a captured image of cells arranged in a single layer and generates an edge image including the detected edge pixels; a pigmented region detecting section that detects pixels of a pigmented region of the cell image in the captured image, and generates a pigmented region image including the detected pixels of the pigmented region; and an image merging section that, in a merged image obtained by overlaying the edge image and the pigmented region image together, detects a cell image region and a background image region in the captured image based on the pixel intensity variance and thus detects the cell image region in the captured image.

Abstract: A wireless communication device comprises position determining system, a digital imaging system and a photograph customization system coupled to the position locating system and the digital imaging system. The position determining system is configured to provide information indicating a current position of the wireless communication device. The digital imaging system is configured to create digitally rendered images of visual content acquired thereby. The visual content is displayed on an image viewing structure of the digital imaging device while being acquired. The photograph customization system is configured to use the current location of the digital imaging device for providing one or more embeddable content images and to display information from at least one of the one or more embeddable content images on an image viewing structure of the digital imaging device while the visual content being acquired by the digital imaging system is being displayed on the image viewing structure.

Abstract: A method is disclosed for the automated classification of an image property of a magnetic resonance image. In an embodiment, the method includes determining at least the parameters T, T2 and proton density of at least two tissues imaged in the magnetic resonance image or prespecifying at least two sets of at least these parameters; calculating the signal intensity in the center of the k-space for each imaged tissue or each set of parameters; and classifying the image property as a function of the calculated signal intensities. A magnetic resonance device is also disclosed.

Abstract: A medical image processing apparatus includes, an unit (12) extracting a blood vessel wall region from the image in a range including an aneurysm in an object, an unit (13) calculating the blood vessel diameter change rates of the neck portions of the aneurysm, blood vessel curvature, and blood vessel flattening ratio at each of discrete points on a blood vessel region based on the extracted blood vessel region, an unit (14) extracting, from discrete points, feature points at each of which at least one of a blood vessel diameter change rate, blood vessel curvature, and blood vessel flattening ratio exceeds a corresponding one of thresholds and decide a range for the indwelling of a stent graft in accordance with the extracted feature points, and a display unit (19) superimposing and display unrecommended ranges on a stored image.

Abstract: A method for determining the position data of a target object in a reference system from an observation position at a distance. A three-dimensional reference model of the surroundings of the target object is provided, the reference model including known geographical location data. An image of the target object and its surroundings, resulting from the observation position for an observer, is matched with the reference model. The position data of the sighted target object in the reference model is determined as relative position data with respect to known location data of the reference model.

Abstract: One aspect of the invention provides an imaging method including: (a) acquiring a first fluorescent image of an object of interest impregnated with fluorescent nanodiamonds; (b) applying a magnetic field to the fluorescent nanodiamonds in order to decrease fluorescence of the fluorescent nanodiamonds; (c) acquiring a second fluorescent image of the object of interest; and (d) subtracting the second fluorescent image from the first fluorescent image to produce a resulting image. Another aspect of the invention provides an imaging method including: (a) applying a time-varying magnetic field to an object of interest impregnated with fluorescent nanodiamonds to modulate the fluorescence of the fluorescent nanodiamonds; (b) acquiring a plurality of fluorescent images of the object of interest; and (c) for each corresponding pixel in the plurality of fluorescent images, calculating a fluorescence intensity using a lock-in technique.

Abstract: Embodiments are disclosed herein that relate to the automatic tracking of objects. For example, one disclosed embodiment provides a method of operating a mobile computing device having an image sensor. The method includes acquiring image data, identifying an inanimate moveable object in the image data, determining whether the inanimate moveable object is a tracked object, if the inanimate moveable object is a tracked object, then storing information regarding a state of the inanimate moveable object, detecting a trigger to provide a notification of the state of the inanimate moveable object, and providing an output of the notification of the state of the inanimate moveable object.

Abstract: A system and method are provided for registering a coordinate system for a shape sensing system to a coordinate system for pre-procedural or intra-procedural imaging data. A stable curvature in a shape reconstruction is identified and matched to another curvature, where the other curvature is from another shape construction from a subsequent time or from imaging data from another imaging modality. The matched curvatures are aligned, aligning the coordinate systems for the respective curvatures.

Abstract: A system for generating video data comprising a mobile radar system operating on a processor and configured to generate vertically tilted radar frame data for a plurality of vehicles. A mobile video system operating on a processor and configured to generate video data of the plurality of vehicles. A dynamic plane rotation system operating on a processor and coupled to the mobile radar system and configured to map the vertically tilted radar frame data onto a flat plane parallel to a roadway to generate mapped data.

Abstract: Systems and methods for segmenting a medical image are provided. In some embodiments, the method includes receiving an image acquired from at least a portion of a subject's anatomy, selecting a first point within a target structure identified on the image, and determining a second and a third point associated with extents of a target biological tissue, the first, second and third points defining a sector described by the first point, a central angle and a subtended arc. The method also includes determining a plurality of arc points along the subtended arc, and extending a plurality of linear segments along directions determined by the first point and the plurality of arc points. The method further includes determining an intensity profile along each linear segment to identify boundaries of the target biological tissue, and generating a contour of the target biological tissue using the identified boundaries.

Abstract: A method and system for determining one or more dimension estimations for a vehicle. A sequence of image frames of a vehicle is received, and a digital representation of the vehicle is extracted from each image in the sequence of image frames. A bounding box is determined for the vehicle based upon the extracted digital representation for each digital representation of the vehicle and at least one dimension of the vehicle is estimated based upon the determined bounding box. An indication of the at least one estimated dimension is output. The indication of at least one estimated dimension is transferred as an input to a comparison technique for further processing the indication of the at least one estimated dimension. The comparison technique can include a parking determination process configured to determine a recommended spot for the vehicle based upon the indication of the at least one estimated dimension.

Abstract: In a magnetic resonance imaging method and apparatus for water/fat separation, a turbo spin echo BLADE (TSE BLADE) artifact correction sequence is executed to acquire original data for an in-phase image and original data for an opposite-phase image, and an in-phase image on the basis of the original data for the in-phase image and an opposite-phase image on the basis of the original data for the in-phase image and the original data for the opposite-phase image are reconstructed. Water and fat images are calculated on the basis of the reconstructed in-phase image and opposite-phase image. By using a TSE BLADE sequence to acquire k-space data, the advantage of the BLADE sequence of being insensitive to rigid body motion and pulsation is inherently present, thereby reducing sensitivity to motion artifacts while improving the image signal-to-noise ratio.

Abstract: Technologies are generally described for position-setup for gesture-based game. In some examples, a method performed under control of a gesture-based game system includes capturing, by an image capture unit, an image of a first player and an image of a second player, cropping, from the image of the first player and the image of the second player, a first sub-image of at least part of the first player and a second sub-image of at least part of the second player, respectively, determining whether to adjust the first sub-image and the second sub-image, if it is determined to adjust the first sub-image and second sub-image, adjusting the first sub-image and the second sub-image, and merging the first adjusted sub-image and the second adjusted sub-image into an output image.

Abstract: Embodiments for identifying errors based on data extracted from financial record images includes systems that receive one or more financial record images from a user, apply an optical character recognition process to at least a portion of the one or more financial record images, and identify record data based on the applied optical character recognition process comprising at least a name of a party to the financial record. The systems further identify errors associated with the one or more financial record images based on the record data.

Abstract: A method and system for displaying a three dimensional visualization of cardiac motion. The method and system obtain point specific (PS) motion data for a plurality of map points. The PS motion data indicates an amount of motion that occurred at the corresponding map point on a wall of the heart during at least one cardiac cycle. The method and system determine three dimensional (3D) positions of the map points during the cardiac cycle based on the PS motion data and select a set of 3D positions based on a frame rate. The method and system further generate 3D visualizations for each selected set of 3D positions.

Abstract: A method to filter outliers in an image-aided motion-estimation system is provided. The method includes selecting eight-image-points in a first image received from a moving imaging device at at least one processor; selecting eight-image-points in a second image that correspond to the selected eight-image-points in the first image at the at least one processor, the second image being received from the moving imaging device; scaling the selected image-points at the at least one processor so the components of the selected image-points are between two selected values on the order magnitude of 1; building an 8-by-9 matrix (A) from the scaled selected image-points at the at least one processor; determining a condition number for the 8-by-9 matrix at the at least one processor; and rejecting the 8-by-9 matrix built from the selected image-points when the determined condition number is greater than or equal to a condition-number threshold.