Abstract: Provided is an operating method of an imaging system, the operating method including illuminating, by a light illuminator, light onto a subject from a light source, acquiring, by an optical detector, a two-dimensional projection image on the subject, generating a first projection matrix between three-dimensional coordinates of the subject and two-dimensional coordinates of the projection image, generating a three-dimensional first volume image on the subject on the basis of the first projection matrix and the projection image, generating a two-dimensional digitally reconstructed radiograph (DRR) on the subject from the first volume image, matching the projection image and the DRR, and updating the first projection matrix on the basis of a matched result to generate a second projection matrix, and generating a three-dimensional second volume image on the subject on the basis of the second projection matrix and the projection image.

Abstract: A method for tracking a target located within a body, whilst scanning the body using X-ray projections, the method including the steps of: (a) providing a first prior image of the body and target indicating their relative position; (b) iteratively performing, for a series of time intervals, the steps of: (i) acquiring a few spatially distributed x-ray projections of the target area; (ii) determining one of a series of motion phases for each x-ray projection; (iii) performing an iterative reconstruction of the image for each of the motion phases; and (iv) outputting a resultant image for a current time interval.

Abstract: Systems, methods, and non-transitory computer readable media are provided for managing data spills. A classified document may be identified. The classified document may be associated with a document classification marking and one or more portion classification markings. Whether the classified document is misclassified may be determined based on a mismatch between the document classification marking and at least one of the one or more portion classification markings. Responsive to determining that the classified document is misclassified, one or more operations may be performed on the classified document.

Abstract: Various embodiments, methods and systems for implementing a distributed computing frameset assembly engine are provided. Initially, a synthetic data scene is accessed. A first set of values for scene-variation parameters is determined. The first set of values is automatically determined for generating a synthetic data scene frameset. The synthetic data scene frameset is generated based on the first set of values. The synthetic data scene frameset comprises at least a first frame in the frameset comprising the synthetic data scene updated based on a value for a scene-variation parameter. The synthetic data scene frameset is stored.

Abstract: A system for enhancing a set of object scan images may be provided. The set of object scan images may also here comprise at least a first scan image, located at a distance therefrom a second scan image.

Abstract: A handheld imaging device has a data receiver that is configured to receive reference encoded image data. The data includes reference code values, which are encoded by an external coding system. The reference code values represent reference gray levels, which are being selected using a reference grayscale display function that is based on perceptual non-linearity of human vision adapted at different light levels to spatial frequencies. The imaging device also has a data converter that is configured to access a code mapping between the reference code values and device-specific code values of the imaging device. The device-specific code values are configured to produce gray levels that are specific to the imaging device. Based on the code mapping, the data converter is configured to transcode the reference encoded image data into device-specific image data, which is encoded with the device-specific code values.

Abstract: Embodiments relate to directional bilateral filtering of a raw image. For each pixel in the image, a block of pixels surrounding that pixel is used for filtering. When the block of pixels in a Bayer pattern have directionality, directional filter coefficients are used instead of default filter coefficients. To obtain a directional tap, a directional filter coefficient is attenuated by an attenuation factor that differs based at least on the location of the pixels in the pixel block. The directional taps are blended with non-directional taps derived from the default filter coefficients using a weight representing confidence on the directionality. The filtered pixel values are then obtained by multiplying pixel values with corresponding taps.

Abstract: A people-flow-estimation device includes a person-count-estimation unit for estimating the number of people included in a partial area of an image; a crowd-direction-estimation unit for estimating the direction of a crowd in the partial area; a movement-amount-estimation unit for estimating the amount of movement in the partial area; and a generation unit for extracting a partial area where people exist from a plurality of partial areas on the basis of the number of people and generating, on the basis of the number of people, the extracted partial area, and the direction and movement amount of a crowd associated with the partial area, people's flow information relating to a people's flow representing the flow of people in the partial area.

Abstract: Labeled data is deterministically generated for training or validating machine learning models for image analysis. Approaches are described that allow this training data to be generated, for example, in real-time, and in response to the conditions at the location where images are generated by image sensors.

Abstract: An optical in-situ system for a gas turbine engine blade inspection comprises a camera configured to capture images of a forward surface of at least one gas turbine engine blade; and a processor coupled to the camera, the processor configured to determine damage to the at least one gas turbine engine blade based on image analytics.

Abstract: Method and device for searching stripe set are disclosed herein. The method involves: receiving a raw image captured by a rolling shutter image sensor, wherein the raw image includes stripe pattern formed by flashing light source; binarizing the raw image to obtain a binary image, according to a binary threshold, wherein the binary image has two pixel values, one of the two pixel values is set as a preset first value; searching a connected domain having pixels with a first value to obtain a plurality of first connected domains, according to the pixel value in the binary image; selecting a target connected domain corresponding to the stripe pattern from the plurality of first connected domains; determining stripe set according to the target connected domain, wherein the stripe set is the set of the target connected domain corresponds to the stripe pattern.

Abstract: A method and apparatus for processing image data are provided. An image data processing apparatus includes: a receiver configured to receive image data that represents a current frame; and a processor configured to perform an inverse fast Fourier Transform (IFFT) computation with respect to a first region of the current frame, and to obtain an IFFT computation result with respect to a second region of the current frame by using a result of the IFFT computation with respect to the first region.

Abstract: A method generates images based on context-aware imaging. The method includes acquiring a first image of a patient using first image acquisition parameters. The method includes determining, within the first image, an area as a function of first data associated with the patient. The method includes determining modification data as a function of at least one of (a) second data corresponding to the determined area and (b) the first data. The method includes determining second image acquisition parameters as a function of the modification data and the first image acquisition parameters. The method includes acquiring a second image of the patient using the second image acquisition parameters.

Abstract: A system may include an event trigger processor (ETP) configured to receive signals from sensors or another system (FIG. 11). Output signals from the sensor(s), local or remotely located, may be utilized by the ETP as trigger inputs to initiate a process or response, namely authentication actions, which also may be local or remote from the ETP. Events from external systems also may serve as trigger inputs to the ETP. In some embodiments, as a triggered response, the ETP may direct a local field imaging system to acquire an image of an object, generate a digital fingerprint from the image, and query a database using the generated digital fingerprint to identify or authenticate the object. The ETP may initiate or direct various actions by sending a message to another entity or system, for example, using known network communication protocols.

Abstract: A method for impulse noise detection and removal in color images comprising a detection module and a vector median filter.

Abstract: A method for verifying the integrity, continuity, and availability (ICA) of information displayed on an uncertified display is provided. The method comprises creating, on the high integrity device, application data for display on an uncertified display device; transmitting the application data to the uncertified display device for display; receiving, at the high integrity device from the uncertified display device, a captured image of the display captured using a screen capture feature on the uncertified display device; determining, at the high integrity device, an expected display image; comparing, at the high integrity device, the captured image of the display to the expected display image; identifying, at the high integrity device, a loss of ICA if one or more frames in the captured image fails the comparison with the expected display image; and causing the annunciation of a message indicating the loss of ICA when a loss of ICA is identified.

Abstract: A method in a high integrity device for verifying the integrity, continuity, and availability (ICA) of information displayed on an uncertified display is provided. The method comprises creating, on the high integrity device, application data for display on an uncertified display device; transmitting the application data to the uncertified display device; receiving, at the high integrity device from an optical sensing device, a captured image of the display; determining, at the high integrity device, an expected display image to be displayed on the uncertified display device; comparing, at the high integrity device, the captured image of the display to the expected display image; identifying, at the high integrity device, a loss of ICA if one or more frames in the captured image fails the comparison with the expected display image; and causing the annunciation of a message indicating the loss of ICA when a loss of ICA is identified.

Abstract: The present disclosure covers systems and methods of efficiently filtering digital images. More particularly, the present disclosure covers systems and methods that generate and maintain a list of unique pixel values within a kernel window. Using the list, the systems and methods determine filtered pixel values for a filtered output image by processing only the counts of pixels in the histogram associated with the unique pixel values of the list. By considering selective pixel values of the histogram based on the unique pixel values of the list, the systems and methods reduce computations as part of the filtering process.

Abstract: A system, apparatus and method of obtaining data from a 2D image in order to determine the 3D shape of objects appearing in said 2D image, said 2D image having distinguishable epipolar lines, said method comprising: (a) providing a predefined set of types of features, giving rise to feature types, each feature type being distinguishable according to a unique bi-dimensional formation; (b) providing a coded light pattern comprising multiple appearances of said feature types; (c) projecting said coded light pattern on said objects such that the distance between epipolar lines associated with substantially identical features is less than the distance between corresponding locations of two neighboring features; (d) capturing a 2D image of said objects having said projected coded light pattern projected thereupon, said 2D image comprising reflected said feature types; and (e) extracting: (i) said reflected feature types according to the unique bi-dimensional formations; and (ii) locations of said reflected feature

Abstract: A method of processing optical coherence tomography (OCT) scans through a subject's skin, the method comprising: receiving a plurality of scans through the subject's skin, the scans representing an OCT signal in slices through the user's skin at different times; comparing the scans to determine time-varying regions in the scans; determining a depth-distribution of the time varying regions.