Abstract: In a method and apparatus for correcting image data acquired by an image data acquisition scanner of a magnetic resonance system, a reception profile of a reception antenna of the magnetic resonance scanner is determined. A correction function is determined by which an asymmetry of the reception profile with respect to a symmetry plane is corrected. Furthermore, image data are received and corrected by multiplying the intensity values of the image data with the determined correction function.

Abstract: An apparatus includes a hardware sensor array including a plurality of pixels arranged along at least a first dimension and a second dimension of the array, each of the pixels capable of generating a sensor reading. A hardware scanning window array includes a plurality of storage elements arranged along at least a first dimension and a second dimension of the hardware scanning window array, each of the storage elements capable of storing a pixel value based on one or more sensor readings. Peripheral circuitry for systematically transfers pixel values, based on sensor readings, into the hardware scanning window array, to cause different windows of pixel values to be stored in the hardware scanning window array at different times. Control logic coupled to the hardware sensor array, the hardware scanning window array, and the peripheral circuitry, provides control signals to the peripheral circuitry to control the transfer of pixel values.

Abstract: Systems and methods that allow transfer and display rules to be defined based on one or more of several attributes, such as a particular user, site, device, and/or image/series characteristic, as well as whether individual images and/or image series are classified as thin slices and/or based on other characteristics, and applied to medical images in order to determine which images and/or image data are analyzed, downloaded, viewed, stored, rendered, processed, and/or any number of other actions that might be performed with respect to medical image data. The system and methods may include image analysis, image rendering, image transformation, image enhancement, and/or other aspects to enable efficient and customized review of medical images.

Abstract: A method of inspecting plants for contamination includes generating a first series of images of a plant, identifying a region of interest displayed in the first series of images, comparing a color parameter of the region of interest to a color criterion associated with a type of contamination, comparing a morphological parameter of the region of interest to a reference parameter associated with the type of contamination, and upon determining that the color parameter meets the color criterion and that the morphological parameter sufficiently matches the reference parameter, identifying the region of interest as a region of contamination on the plant. The method further includes transmitting an instruction to lift a cutter of a harvester up from a planting bed to avoid harvesting the plant in response to identifying the region of interest as the region of contamination, and generating a second series of images of an additional plant.

Abstract: An apparatus for diagnosing a failure of recognition logic, which recognizes a target in an image obtained by a vehicle, including: an image frame including coordinates of a reference characteristic point of a set target; a camera sensor photographing a front side of the vehicle and outputting an image of the front side; a recognition logic unit calculating coordinates of a characteristic point in the image frame and outputting coordinates of a recognized characteristic point; an image frame compulsory input unit applying the image frame to the recognition logic unit at a predetermined period instead of the image of the front side of the vehicle; and a normal operation determining unit determining whether the recognition logic unit is normally operated according to whether the coordinates of the reference characteristic point are matched with the coordinates of the recognized characteristic point during the compulsory input of the image frame.

Abstract: A method for verification of alarms is disclosed. The method involves receiving an alarm signal trigger associated with an alarm signal, receiving video data from a premise associated with the alarm signal, rapidly analyzing the video data to test for the existence a significant event, and when a significant event exists, sending a representation of a segment of interest of the video data, the segment of interest being associated with the significant event, to a user.

Abstract: A method of forming a probability map is disclosed. According to one embodiment, a method may include: (1) obtaining multiple measures of multiple imaging parameters for every stop of a moving window on an image, wherein two neighboring ones of the stops of the moving window are partially overlapped with each other; (2) obtaining first probabilities of an event for the stops of the moving window by matching the measures of the imaging parameters to a classifier; and (3) obtaining second probabilities of the event for multiple voxels of a probability map based on information associated with the first probabilities.

Abstract: An imaging position determination device includes an image reception unit that acquires an image and a position of a person within a monitoring area, an eye state detection unit that detects an open and closed state of eyes of a person from the image acquired by the image reception unit, an eye state map creation unit that creates an eye state map which shows an eye state of the person in the monitoring area based on the open and closed state of eyes of the person that is acquired by the eye state detection unit, and an adjustment amount estimation unit that determines an imaging position of the person in the monitoring area based on the eye state map that is created by the eye state map creation unit.

Abstract: Systems and methods that allow transfer and display rules to be defined based on one or more of several attributes, such as a particular user, site, device, and/or image/series characteristic, as well as whether individual images and/or image series are classified as thin slices and/or based on other characteristics, and applied to medical images in order to determine which images and/or image data are analyzed, downloaded, viewed, stored, rendered, processed, and/or any number of other actions that might be performed with respect to medical image data. The system and methods may include image analysis, image rendering, image transformation, image enhancement, and/or other aspects to enable efficient and customized review of medical images.

Abstract: Presented are systems and methods that provide a unified end-to-end detection pipeline for object detection that achieves impressive performance in detecting very small and highly overlapped objects in face and car images. Various embodiments of the present disclosure provide for an accurate and efficient one-stage FCN-based object detector that may be optimized end-to-end during training. Certain embodiments train the object detector on a single scale using jitter-augmentation integrated landmark localization information through joint multi-task learning to improve the performance and accuracy of end-to-end object detection. Various embodiments apply hard negative mining techniques during training to bootstrap detection performance.

Abstract: Method of determining a rotation axis of an object during acquisition of projections obtained by a tomography characterization system, comprising the following steps, starting from said projections: Select zones on the projections along the presumed rotation axis; Reconstruct a structure of the object using data in the selected zones, Make reprojections of the reconstruction; Determine a total offset for each selected zone; Determine the real rotation axis using total offsets determined for all zones.

Abstract: A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

Abstract: Method, system, apparatus, and computer program products for removing marker artifacts from a tomosynthesis dataset. In the method, a first plurality of projection images are acquired by tomosynthesis x-ray imaging, the first plurality of projection images containing at least one imaged representation of at least one alignment marker. In one aspect, the imaged representation of the at least one alignment marker on the first plurality of projection images is minimized to generate a second plurality of projection images. In another aspect, a plurality of tomographic images are reconstructed from the second plurality of projection images.

Abstract: The present disclosure relates generally to data hiding for retail product packaging and other printed objects. One embodiment embeds an information signal in a spot color for product packaging. The spot color is screened, and overprinted with process color tint. The tint is modulated prior to overprinting with optimized signal tweaks. The optimization can include consideration of a detector spectral dependency (e.g., red and/or green illumination). Many other embodiments and combinations are described in the subject patent document.

Abstract: According to one embodiment, an image processing apparatus includes an image acquiring unit, a commodity identifying unit, a commodity map generator and a commodity determination unit. The image acquiring unit acquires a number of images that are photographed, with photography ranges being varied gradually. The image identifying unit identifies a commodity and the position of that commodity based on the photographed images. The commodity map generator generates a commodity map from the photographed images, based on the commodity and commodity position identified by the image identifying unit. The commodity determination unit generates a commodity inspection map which represents differences between the commodity and commodity position shown in the commodity map and those shown in commodity layout plan information representing a commodity layout plan.

Abstract: A medical skin examination device configured to diagnose a skin lesion includes: a first storage unit configured to store an original first skin image related to a dermoscopy structure imaged via a dermoscope; an image conversion unit configured to apply High Dynamic Range (HDR) conversion processing to the first skin image and obtain a second skin image in which the dermoscopy structure is made clear and salient; a second storage unit configured to store the second skin image; and a display control unit configured execute control so as to display at least one of the first skin image and the second skin image.

Abstract: A system, article, and method of planar surface detection for image processing.

Abstract: A method for implementing a dynamic three-dimensional lung map view for navigating a probe inside a patient's lungs includes loading a navigation plan into a navigation system, the navigation plan including a planned pathway shown in a 3D model generated from a plurality of CT images, inserting the probe into a patient's airways, registering a sensed location of the probe with the planned pathway, selecting a target in the navigation plan, presenting a view of the 3D model showing the planned pathway and indicating the sensed location of the probe, navigating the probe through the airways of the patient's lungs toward the target, iteratively adjusting the presented view of the 3D model showing the planned pathway based on the sensed location of the probe, and updating the presented view by removing at least a part of an object forming part of the 3D model.

Abstract: A parking guide system, including: a memory which stores camera parameter information and design reference information; a travelling detecting unit which measures travelling information; an image receiving unit which sequentially receives a first image taken before travelling and a second image taken after the travelling from a camera; a characteristic point extracting unit which extracts and matches characteristic points commonly included in the first and images; a homography calculating unit configured to calculate a first homography based on the camera parameter information, the design reference information, and the travelling information, and calculate a second homography that is a homography between the first image and the second image based on coordinates of the characteristic point; and an error calculating unit which calculates a third homography that is a homography for correcting an image according to a result of a comparison of the first homography and the second homography.

Abstract: In a system for detecting location of an object inside of a building, an image capture device of a mobile electronic device captures an image of a boundary of a room in which the portable electronic device is positioned. The system extracts features of a boundary (ceiling, wall or floor) in the image to determine whether the mobile device is in a known location. When the system identifies a known location, it will take an action that provides the portable electronic device with additional functionality at the identified known location. Such functionality may include connecting to a wireless network or communicating with a stationary device at the known location.