Abstract: A method for improving image quality of image data includes analyzing, for each of a plurality of voxels of image data, a set of entries of a dictionary, wherein an entry represents a mapping between a lower resolution patch of voxels and a corresponding higher resolution patch of voxel or a local neighborhood around a voxel, deriving, for each of the plurality of voxels, a subspace based on the analysis, wherein the subspace is for one of the mapping or the local neighborhood, and restoring target image data based on the subspaces, wherein the target image data is image data with higher image resolution or reduced image noise.

Abstract: A ground plane detection system including an imaging device operable to generate at least two images of a scene and an image processing assembly operable to receive the at least two images of the scene and to generate a model of each image and to perform homography computations through use of corresponding features in the models of each image.

Abstract: Tomosynthesis imaging methods, systems, and apparatus include a source to emit penetrating particles toward an object, a detector to acquire a series of projection images responsive to the penetrating particles, and a positioning system to position the source with respect to the object and the detector. An imaging system controls the positioning apparatus, source, and detector to acquire images along a primary scan direction with offsets in a secondary scan direction. An oscillatory velocity may be applied to the source to reduce focal spot blur. Tomographic volumes are constructed that are capable of exhibiting super-resolution from data representing the acquired series of projection images taking the primary scan direction and the offsets into consideration.

Abstract: Methods, apparatus, and articles of manufacture to monitor environments are disclosed. An example method includes analyzing a first depth value corresponding to a coordinate of an object of an image captured by a depth sensor, the first depth value having been captured with the depth sensor positioned at a first angle relative to a reference axis; moving the depth sensor to a second angle relative to the reference axis, the second angle being different than the first angle; triggering capture of a second depth value at the coordinate with the depth sensor positioned at the second angle; and calculating a depth gradient for the coordinate based on the first and second depth values.

Abstract: A method of encoding content data into a digital image includes determining bit values of a pixel within the digital image, and modifying the bit values within the pixel based on content data to be encoded in order to encode the content data into the digital image. The step of determining the bit values of a pixel within the digital image includes determining a binary representation of the bit values of the pixel. The step of modifying the bit values includes determining a binary representation of the content data to be encoded within the pixel and encoding the content data using a reversible binary operation.

Abstract: Systems and methods for transprojection of geometry data acquired by a coordinate measuring machine (CMM). The CMM acquires geometry data corresponding to 3D coordinate measurements collected by a measuring probe that are transformed into scaled 2D data that is transprojected upon various digital object image views captured by a camera. The transprojection process can utilize stored image and coordinate information or perform live transprojection viewing capabilities in both still image and video modes.

Abstract: A method and system for incorporating voice commands into the interactive process of image segmentation. Interactive image segmentation involves a user pointing at an image; voice commands quicken this interaction by indicating the purpose and function of the pointing. Voice commands control the governing parameters of the segmentation algorithm. Voice commands guide the system to learn from the user's actions, and from the user's manual edits of the results from automatic segmentation.

Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.

Abstract: The present disclosure provides user interface methods of and systems for displaying at least one available action overlaid on an image, comprising displaying an image; selecting at least one action and assigning a ranking weight thereto based on at least one of (1) image content, (2) current device location, (3) location at which the image was taken, (4) date of capturing the image; (5) time of capturing the image; and (6) a user preference signature representing prior actions chosen by a user and content preferences learned about the user; and ranking the at least one action based on its assigned ranking weight.

Abstract: An image processing device includes: an image acquisition unit that obtains a photographic image of an area outside of a vehicle captured and output by a camera; a sun decision unit that calculates a sun position which indicates, at least, a solar elevation and makes a decision as to whether or not the solar elevation is equal to or lower than a predetermined elevation; an opacity detection unit that detects clouding of a lens surface of the camera; a vehicle detection unit that detects another vehicle, different from the vehicle, based upon image information of a first image area in the photographic image; and a control unit that suspends detection of the other vehicle by the vehicle detection unit if the opacity detection unit detects opacity in, at least, the first image area and the sun decision unit decides that the solar elevation is equal to or lower than the predetermined elevation.

Abstract: A supplemental device for gathering information concerning the use of an injection device, the supplemental device having a first camera sensor portion for generating a first camera output indicative of a scene in the field of view of the first camera sensor portion, a second camera sensor portion for generating a second camera output indicative of a scene in the field of view of the second camera sensor portion, and at least one processor. The processor configured to use the first camera output to determine whether a rotational speed of an object in the field of view exceeds a threshold speed, if it is determined the rotational speed of the object does not exceed the threshold speed, to process the second camera output to identify a feature provided on the or another object, and if it is determined the rotational speed of the object does exceed the threshold speed, to refrain from attempting to identify the feature.

Abstract: Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.

Abstract: A numerical parameter indicative of the degree of match between two retina images is produced by comparing two graphs obtained from the respective images. Each graph is composed of edges and vertices. Each vertex is associated with a location the corresponding retina image, and with descriptor data describing a part of the corresponding retina image proximate the corresponding location.

Abstract: The present invention relates to a method and device of obtaining a beam hardening correction coefficient for carrying out beam hardening correction on computed tomography data. The method includes the steps of: firstly, acquiring an original reconstructed image and an original sinogram of an object of a particular size; secondly, obtaining an error-reduced sinogram after processing the original reconstructed image by error reduction; thirdly, sampling and calculating an average value of the original sinogram and an average value of the error-reduced sinogram; fourthly, optimizing the original sinogram according to the error-reduced sinogram to determine a coefficient vector of optimization function for the object of the particular size; and finally fitting the coefficient vector of the optimization function of the original sinogram to obtain the beam hardening correction coefficient for the object of the particular size.

Abstract: A method of processing geological log data to construct missing information from destroyed or occluded parts using cues from observed data comprises the steps of: a. in respect of one or more data dimensions associated with missing values in a log data set, decomposing the signal into a plurality of morphological components; and b. morphologically reconstructing the signal such that missing values are estimated.

Abstract: In camera-based object labeling, boost classifier ƒT(x)=?r=1M?rhr(x) is trained to classify an image represented by feature vector x using a target domain training set DT of labeled feature vectors representing images acquired by the same camera and a plurality of source domain training sets DS1, . . . , DSN acquired by other cameras. The training applies an adaptive boosting (AdaBoost) algorithm to generate base classifiers hr(x) and weights ?r. The rth iteration of the AdaBoost algorithm trains candidate base classifiers hrk(x) each trained on a training set DT?DSk, and selects hr(x) from previously trained candidate base classifiers. The target domain training set DT may be expanded based on a prior estimate of the labels distribution for the target domain. The object labeling system may be a vehicle identification system, a machine vision article inspection system, or so forth.

Abstract: An imaging method and corresponding apparatus according to an embodiment of the present invention enables measurement and visualization of fluid flow. An embodiment method includes obtaining video captured by a video camera with an imaging plane. Representations of motions in the video are correlated. A textured background of the scene can be modeled as stationary, with a refractive field translating between background and video camera. This approach offers multiple advantages over conventional fluid flow visualization, including an ability to use ordinary video equipment outside a laboratory without particle injection. Even natural backgrounds can be used, and fluid motion can be distinguished from refraction changes. Depth and three-dimensional information can be recovered using stereo video, and uncertainty methods can enhance measurement robustness where backgrounds are less textured. Example applications can include avionics and hydrocarbon leak detection.

Abstract: A method of removing distortion by lipids from an MR image includes obtaining an MR image including voxels, obtaining data of the voxels from the obtained MR image, estimating a lipid-related spectrum by using the obtained data, and removing the estimated lipid-related spectrum from the obtained data.

Abstract: The present disclosure provides for a method, device, and computer-readable storage medium for performing a method for discerning a vehicle at an access control point. The method including obtaining a video sequence of the access control point; detecting an object of interest from the video sequence; tracking the object from the video sequence to obtain tracked-object data; classifying the object to obtain classified-object data; determining that the object is a vehicle based on the classified-object data; and determining that the vehicle is present in a predetermined detection zone based on the tracked-object data.

Abstract: In part, the invention relates to systems and methods of calibrating a plurality of frames generated with respect to a blood vessel as a result of a pullback of an intravascular imaging probe being pullback through the vessel. A calibration feature disposed in the frames that changes between a subset of the frames can be used to perform calibration. Calibration can be performed post-pullback. Various filters and image processing techniques can be used to identify one or more feature in the frames including, without limitation, a calibration feature, a guidewire, a side branch, a stent strut, a lumen of the blood vessel, and other features. The feature can be displayed using a graphic user interface.