Abstract: Systems and methods for managing at least one medical image that includes image data and metadata. One method includes generating, at a processor, a number of copies of the at least one medical image, wherein the number of copies is equal to a number of independent reviewers associated with the at least one medical image. Each of the copies includes the image data and the metadata. The method also includes modifying the metadata of each of the copies to include a unique identifier, and storing the copies to at least one image storage device.

Abstract: According to one embodiment, an image analysis device includes a parameter value acquisition unit, a color allocation unit and a time phase image generation unit. The parameter value acquisition unit acquires a parameter value per pixel, on the basis of time variation of pixel values per pixel corresponding to the same region of an object in image data of a plurality of sequential DSA images. The color allocation unit generates a color map in which a (chromatic) color in accordance with the parameter value is allocated per pixel corresponding to the same region of the object. The time phase image generation unit generates color image data of time phase images respectively corresponding to a plurality of time phases, by reflecting information in accordance with pixel values of the DSA images to each pixel of the color map.

Abstract: The disclosed embodiments include an electronic device with a display, processor(s), and memory. The electronic device displays a user interface on the display, the user interface including video information corresponding to a camera, the video information including a field of view of the camera. The electronic device receives user identification of a spatial zone within the user interface, the spatial zone corresponding to at least a portion of the field of view of the camera; and forgoes user notification of subsequent motion events involving the spatial zone.

Abstract: A trailer type identification system is provided herein. The system includes an imaging device for capturing images of a trailer connected to a vehicle, and a controller for analyzing the captured. The controller identifies vehicle and trailer contours, predicts a trailer type based on detection of a connection between the identified vehicle and trailer contours, and validates the prediction if the identified trailer contour exhibits motion during a vehicle turn event.

Abstract: Provided is a method for training a neural network to detect features in a retinal image. The method may include the steps of: combining and randomizing feature images into a Training data set; combining and randomizing the feature images into a testing dataset; training a plurality of neural networks having different architectures using a subset of the training dataset while testing on a subset of the testing dataset; identifying the best neural network based on each of the plurality of neural networks performance on the testing data set; inputting images to the best neural network and identifying a limited number of false positives and false negative and adding the false positives and false negatives to the training dataset and testing dataset; and repeating the foregoing steps until an objective performance threshold is reached.

Abstract: A method for generating an output image with realistic individual text inserts via software loaded on a computer is provided. The method comprises the steps of providing a base image in a commercial graphical format with at least one position frame defined within the base image; the position frame defines an area within the base image where a text insert is insertable; providing software loaded on the computer which transforms a low resolution image into a high resolution image; defining a vector path within the position frame; arranging the text insert along the vector path; composing the text insert wherein the such step comprises the steps of selecting individual elements, sizing the individual elements as a function of the vector path, assembling the elements into letters, and assembling the letters along the vector path to compose the text insert; and entering text of the text insert via a user interface.

Abstract: A method is described that includes comparing a characteristic of an image to stored characteristics of spam images. The method also includes generating a signature of the present image. The method further includes comparing the signature of the present image to stored signatures of spam images. The method also includes determining the spam features corresponding to the stored signatures of spam images that match the signature of the present image.

Abstract: According to an embodiment, an image processing device includes an image acquirer, a tracker, an extractor, a feature amount acquirer, and an association controller. The image acquirer is configured to acquire a time series of images from each imaging device. The tracker is configured to track a position of an object in the time series of images. The extractor is configured to extract, from the time series of images, an observed value corresponding to a feature value in each of regions into which the time series of images is divided depending on a distance from the imaging device. The feature amount acquirer is configured to acquire a feature amount based on a deviation value of the observed value in a feature value distribution for the region. The association controller is configured to associate the tracked objects among multiple time series of images acquired from the imaging devices by using the feature amount.

Abstract: Digital image filters and related methods for image contrast enhancement are disclosed. According to one aspect of the method, an invariant brightness level is initially determined. For each pixel of an input image, the invariant brightness level is subtracted from the input brightness of the pixel. The resulting value is multiplied with a contrast adjustment constant. After that, the invariant brightness level is added. Further aspects of the method can involve histogram equalization.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: A method for creating a selective vessel image within a volume section of an examination object using an imaging system is provided. The method includes creating a vessel image of the volume section. The creating of the vessel image includes acquiring imaging data of the volume section within a predetermined time interval using the imaging system, determining a maximum opacity within the time interval on account of a contrast agent administered to the examination object per pixel of the vessel image, and segmenting vessels. The segmenting includes deciding, depending on the maximum opacity of the pixel, whether the respective pixel belongs to the vessel. The method also includes determining a contrast agent arrival time per pixel of the vessel image, and segmenting whether the respective vessel of the vessel image belongs to a vessel of the selective vessel image.

Abstract: The present disclosure provides methods, systems, and computer-readable storage media that can be used to image an unstained sample. Traditionally histopathology and immunohistochemistry methods use stains or dyes in combination with microscopy (or other detection methods) to detect cells and cellular structures, such as proteins. However, the disclosed methods do not require the use of such stains and dyes. The disclosed methods can include obtaining a spectroscopic image (e.g., infrared (IR) imaging data) of the sample, analyzing the resulting spectroscopic image to reduce the dimensionality of the spectroscopic image, comparing the reduced spectroscopic image compared to a control (e.g., by using an appropriately trained algorithm) and generating an output computed stain image from the reduced IR spectra, thereby imaging the sample without the use of stains or dyes.

Abstract: A system and method are provided for enabling a primary device to track a secondary device. The method comprises determining a frequency at which a marker is being displayed with media content on the secondary device; capturing images using the primary device at the frequency at which the marker is being displayed; and providing an output on the primary device while the marker is being displayed.

Abstract: The present invention pertains to geographical image applications. A user may transition between nadir and street level imagery using unstitched oblique imagery. Oblique images offer a rich set of views of a target location and provide a smooth transition to or from other images such as nadir photographs taken by satellites or street level photographs taken by ground level users. Using unstitched oblique images avoids artifacts that may be introduced when stitching together one or more images. This allows an application to display images to a user and create the illusion of three dimensional motion.

Abstract: Image processing techniques may include a methodology for normalizing medical image and/or voxel data captured under different acquisition protocols and a methodology for suppressing selected anatomical structures from medical image and/or voxel data, which may result in improved detection and/or improved rendering of other anatomical structures. The technology presented here may be used, e.g., for improved nodule detection within computed tomography (CT) scans. While presented here in the context of nodules within the lungs, these techniques may be applicable in other contexts with little modification, for example, the detection of masses and/or microcalcifications in full field mammography or breast tomosynthesis based on the suppression of glandular structures, parenchymal and vascular structures in the breast.

Abstract: An image processing apparatus includes a divider that generates a plurality pieces of third image information on the basis of a plurality of pieces of first image information and a plurality of pieces of second image information, a determiner that determines, on the basis of information regarding a sample, a filter to be used for the plurality of pieces of third image information, and a processor that deconvolutes each of the plurality of pieces of third image information using the determined filter. An image sensor that has received first resulting light emitted from a sample that has received first light emitted from a first angle outputs the plurality of pieces of first image information. The image sensor that has received second resulting light emitted from the sample that has received second light emitted from a second angle outputs the plurality of pieces of second image information.

Abstract: A display driving apparatus and a driving method may improve the compression rate of data. The display driving apparatus may include: an encoder configured to compress data of a Pentile method, using any one of a plurality of encoding methods, and compress the data according to a pattern encoding method in addition to the any one of the plurality of encoding methods when the data corresponds to a specific pattern; a decoder configured to decompress the data compressed in the encoder according to a decoding method corresponding to the any one of the encoding methods; and a data driver configured to generate a data signal using the data decompressed in the decoder.

Abstract: The present invention generally relates to non-linear imaging systems and methods for use in various assisted reproductive technologies and other applications. In one aspect, the present invention is generally directed to two-photon and other non-linear microscope techniques that can be used to determine the status or maturity state of eggs or egg follicles, for example by determining the presence of polar bodies within the egg follicles. In some embodiments, endogenous metabolites, such as NADH or FAD, can be determined, and in some cases without externally altering those metabolite concentrations or without adding other compounds. Other embodiments of the invention are also directed to computer programs or systems that can be used to determine the status or maturity state of eggs or egg follicles, kits in such systems, or the like.

Abstract: Disclosed are methods and systems for analyzing images of specimens processed by a programmable quantitative assay or more specifically a robust programmable quantitative dot assay, PDQA, that enable specimens to be imaged and assessed across a wide variety of conditions and applications. Specific embodiments directed to immunohistochemical applications provide more quantitative methods of imaging and assessing biological samples including tissue samples.

Abstract: An object tracking apparatus is configured to determine, according to a predetermined object region containing an object in an initial image of an image sequence, an object region estimated to contain the object in each subsequent image of the image sequence. Moreover, the object tracking apparatus is allowed to adapt the size of the object region obtained through tracking to the change in the shape or size of the object, and to avoid a tracking error.