Abstract: A device comprising an input for receiving image data representing light captured by a camera, and an image analysis module for detecting a coded light component modulated into the light with a modulation frequency. The camera has an exposure time, and the light is captured over a sequence of exposures each lasting for an instance of the exposure time. The detection performed by the image analysis module experiences a frequency blind spot in said detection due to an effect of said exposure time. To address this issue, the device further comprises an output for controlling one or more parameters of the camera which affect the exposure time, and a controller configured to control the one or more parameters to avoid that the modulation frequency corresponds to the frequency blind spot.

Abstract: A method and system for detecting and controlling the quality of debarking at the surface of a wooden log provide information on main parameters related to the debarking quality of the log surface, including fiber loss and residual bark. The debarking quality detecting method and system involve measurement of three-dimensional profile of at least a portion of the log surface to generate corresponding profile image data, which is processed to generate data indicative of the texture of the log surface. The texture data is then analyzed to generate resulting data on the debarking quality parameters. That quality indicative information can be generated on a continuous basis to provide an objective assessment of the quality performance in real-time in view of target productivity, and may then be used to perform optimal adjustments of the debarker operating parameters, either manually by the operator or automatically through feedback control.

Abstract: The present application is directed to new methods for automatically determining several characteristics of frames in a video sequence and automatically recommending or preparing image output products based on those frame characteristics. In some embodiments, motion characteristics of particular image frames are calculated, and those motion characteristics are automatically used to prepare or recommend image output products suitable for the motion characteristics of the frames. In other embodiments, facial, audio, and overall image quality are assessed and used to automatically recommend or prepare image output products. In still other embodiments, image frames in a video sequence are analyzed for various user-specified characteristics, which characteristics are then used to automatically recommend or prepare image output products.

Abstract: An image processing apparatus comprising: first image obtaining means for obtaining a first image of an object in a first shape state; imaging region setting means for setting an imaging region of the object in a second shape state; deformation information obtaining means for obtaining deformation information indicating deformation of the object from the second shape state to the first shape state; corresponding region calculating means for calculating a corresponding region that corresponds to the imaging region in the first shape state based on the deformation information; and display image generating means for generating a display image based on the first image and the corresponding region.

Abstract: An image processing apparatus comprising: medical image obtaining means for obtaining a medical image of an object in a first shape state; deformation information obtaining means for obtaining deformation information indicating deformation of the object from the first shape state to a second shape state; imaging region setting means for setting an imaging region of the object in the second shape state; deformation image generating means for generating a conversion image by converting the medical image deformed based on the deformation information in accordance with the imaging region; and display image generating means for generating a display image by overlapping the conversion image and the imaging region.

Abstract: A user had to manually select a cross-sectional image indicating features of a finding and a cross-sectional image displayed in a report, from a three-dimensional medical image. Provided is an image processing apparatus that includes: a unit configured to acquire a target finding of a medical image; a unit configured to calculate an image feature quantity of a type associated in advance with the target finding, for each of a plurality of cross-sectional images of the medical image; and a unit configured to identify a cross-sectional image from the plurality of cross-sectional images based on the calculated image feature quantity. Operation of selecting a cross-sectional image by a doctor can be omitted, and the burden can be reduced.

Abstract: Described embodiments include a system, method, and computer program product. In a described system, a receiver circuit receives at least two reference images of a patient body part. Each reference image includes a respective landmark subsurface feature of the patient body part, and each imaged landmark subsurface feature has a respective spatial relationship to a respective region of a surface of the patient body part imaged during a medical examination. A feature matching circuit determines a correspondence between (x) each atlas landmark subsurface feature of the patient body part included in a landmark subsurface feature atlas and (y) each respective imaged landmark subsurface feature. A reporting circuit generates informational data reporting a depiction of an area of the surface of the patient body part by at least two adjacent imaged regions of the surface of the patient body part. A communication circuit outputs the informational data.

Abstract: A system for providing a joint for connecting a first object and a second object includes a data acquisition device configured to acquire joint parameter data regarding the first object and the second object, and a controller coupled to the data acquisition device and configured to provide joint design data regarding a design of the joint based on the joint parameter data.

Abstract: A method of processing magnetic resonance (MR) lung images creates a quantitative ventilation map of the lung, which is calculated from ventilation images. A step of determining ventilation frequency includes a frequency analysis of a time series of a quantitative lung dimension parameter which is characteristic for the dimension of the lung at the time of collecting the corresponding MR lung image. Creation of the quantitative ventilation map includes selecting a first group of ventilation images, which consists of expiration ventilation images collected at regular expiration phases of multiple ventilation periods, and a second group of ventilation images, which consists of inspiration ventilation images collected at regular inspiration phases of the multiple ventilation periods, and calculating the quantitative ventilation map from the first and second groups of ventilation images, wherein the quantitative ventilation map is adjusted with reference to the tidal volume of the lung.

Abstract: Blasting video analysis techniques and systems are presented using vibration compensated background analysis with automated determination of blast origin coordinates and highest point coordinates using blast outline coordinates for post-origin frames. Blast expansion trajectories of the highest particle are estimated in frames preceding the highest point frame, and estimated blast parameters including maximum height and initial blast velocity are computed independent of blast data.

Abstract: An image data processing device including: a storage means configured to store a three-dimensional MRI image of a subject's head; a three-dimensional appearance image generation means configured to generate a three-dimensional appearance image of the head; an image generation means configured to perform positional alignment between the three-dimensional MRI image and the three-dimensional appearance image, and to generate a three-dimensional image of the head after the positional alignment; an after-movement image generation means configured to generate, when the subject's head has been moved, a three-dimensional subject's head image after the movement and the positional alignment; an operational object image generation means configured to generate an operational object image indicating a position of an operational object; and a display means configured to display the three-dimensional image of the subject's head after the movement and the operational object image in one image.

Abstract: A motion guiding apparatus includes a guiding device and a mobile unit. The guiding device includes a main body, an arm piece, and a linear light source. The main body is in connection with the arm piece and arranged on a reference surface. The linear light source is arranged on the arm piece and forms a reference light line on the reference surface and a direct light line on the main body. The mobile unit is capable of capturing an image showing the reference light beam, the direct light beam, and a reflected light line. The mobile unit can also compute an angle formed between the reference light line and the reflected light line to obtain a relative angle between the mobile unit and the linear light source, so as to move in accordance to the relative angle. A motion guiding method is also provided.

Abstract: Methods, systems, workstations, viewers, grossing stations and computer include a display and a viewer circuit configured to cause the display to concurrently display: (i) a macroscopic view of a grossing specimen with virtual cut location marks associated with orientation and location of actual physical cut locations used to obtain tissue samples from the grossing specimen and (ii) at least one digital microscopic whole-slide image (WSI) of a tissue section from the specimen. The display can show the at least one WSI image on the display with a relevant cut location mark on the macroscopic view shown visually enhanced from other cut location marks on the macroscopic view to thereby allow a user to visually connect where the tissue section in the WSI image was obtained during a grossing procedure.

Abstract: The invention relates to a system and method for estimating a quantity of interest from perfusion data resulting from the acquisition of a plurality of a patient volumes or stations. Such a method may include a step for triggering the output of said quantity of interest in the form of a consolidated map by means of an adapted man-machine interface.

Abstract: One embodiment includes an artificial vision system mounted on a platform. The system includes an image system comprising a video source that is configured to capture a plurality of sequential images. The image system also includes an image processing system configured, via at least one processor, to process the plurality of sequential images to calculate situational awareness (SA) data with respect to each of the plurality of sequential images and to convert the processed plurality of sequential images to visible images. The system further includes a video display system configured to display the visible images associated with the processed plurality of sequential images and to visibly identify the SA data relative to the platform.

Abstract: Disclosed herein is an image processing apparatus. The image processing apparatus collects volume data which relates to an object, generates volume-rendered image data from the collected volume data, acquires a projection image of the object at a position at which virtual illumination is emitted toward the object, based on the volume-rendered image data, and corrects the projection image by using at least one conversion function, thereby obtaining a result image.

Abstract: An embodiment in accordance with the present invention provides a method for applying task-based performance predictors (measures of noise, spatial resolution, and detectability index) based on numerical observer models and approximations to the local noise and spatial resolution properties of the CBCT reconstruction process (e.g., penalized-likelihood iterative reconstruction). These predictions are then used to identify projections views (i.e., points that will constitute the scan trajectory) that maximize task performance, beginning with the projection view that maximizes detectability, proceeding to the next-best view, and continuing in an (arbitrarily constrained) orbit that can be physically realized on advanced robotic C-arm platforms.

Abstract: A computer-implemented method for providing FEA analysis of at least a portion of at least one bone in a patient, the method comprising steps of: providing at least one image of at least a portion of a bone; selecting at least a portion of the bone; automatically performing an FE analysis of the selected portion of the bone; and displaying at least one result of the FE analysis. Bone selection and display of the bone, the selected portion thereof, and the results of the FE analysis occur via a hand-held device, with processing and data storage performed remotely.

Abstract: Embodiments include systems of and methods for an electronic device having a camera configured to capture image data, a display configured to display the captured image data and content corresponding to an application of the electronic device, and a motion sensor configured to detect motion of the electronic device. The electronic device also includes circuitry configured to activate the camera when motion is detected by the motion sensor, and control the display to display at least a portion of the captured image data at a size proportional to an amount of motion as detected by an output of the motion sensor.

Abstract: System and method for creating a collection of images are described, the method comprising: receiving images from at least one source of images; processing the images to produce an output collection of images, the processing comprising grouping the images to clusters of related images and selecting the preferred images in the clusters; and outputting the output collection of images, the output collection of images comprising the clusters of related images and indication of the preferred images in the clusters. The system for creating a collection of images comprising: a storage medium to receive images from at least one source of images; a processor to produce an output collection of images by grouping the images to clusters of related images and selecting the preferred images in the clusters; and a collection output medium for outputting the output collection of images.