Abstract: Devices, systems and methods are disclosed for validating an electronic publication and determining a source of identified errors in a rendering of the electronic publication. The rendering may be captured as a rendered image and rendered data may be extracted from the rendering. The rendered data may be compared to actual input data to the renderer used to generate the rendered image. If errors are visible in the rendering, a source of the errors may be identified based on the comparison between the extracted rendered data to the actual input data. If errors are not visible in the rendering, the rendering may be validated.

Abstract: Image feature trackability ranking systems and methods are disclosed. A method of establishing a trackability ranking order from tracked image features within a training video sequence at a tracking analysis device includes establishing a tracking region within the training video sequence using a feature detection algorithm. Trajectories of tracked image features within the tracking region are compiled using a feature tracking algorithm. Saliency metrics are assigned to each one of the trajectories of tracked image features based on one or more feature property measurements within the tracking region, and a trackability ranking algorithm that is a function of the saliency metrics and a defined feature trajectory ranking associated with the training video sequence is determined, the trackability ranking algorithm being usable for ranking, based on trackability, tracked image features within another video sequence.

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: An example cleaning card for cleaning a check-reading machine can include at least two opposing surfaces. The opposing surfaces can include a cleaning feature configured to clean at least one component of the check-reading machine when the cleaning card is fed through the check-reading machine. An ink can be located on at least one of the opposing surfaces. The ink can define a set of Magnetic Ink Character Recognition (MICR) characters capable of identifying the cleaning card. The position of the set of MICR characters can coincide with a routing field of the cleaning card as defined in accordance with the standard of the American National Standards Institute (ANSI) X9 family of standards. Other systems, apparatuses, and methods are also described.

Abstract: An information processing apparatus for medical information includes a determination unit that determines whether specific information is to be associated with a medical image obtained by imaging of an object based on information concerning the imaging of the object, a period obtaining unit that obtains information indicating a period that has elapsed between a reference time concerning the specific information and a time of imaging of the medical image, and a processing unit that associates with the medical image the information indicating the period as the specific information in a case where the determination unit determines that the specific information is to be associated with the medical image.

Abstract: There is provided an apparatus for supporting Computer Aided Diagnosis (CAD) based on a speed of a probe. The apparatus includes a region of interest (ROI) detector configured to detect an ROI from a current image acquired from a probe; and an ROI classifier configured to determine whether to classify the ROI using a determined state of a speed, and classify the ROI according to a result of the determination.

Abstract: An image capture system and method for imaging biological samples disposed in culture media supported by a plate. The system has a calibration module, an image acquisition module and an image presentation module. When the system receives a culture plate for imaging, default values for the culture plate and media are used to begin image acquisition at a given time. The captured image is then used to create a pixel by pixel map of the image. The system inspects the pixel-by-pixel map for saturated pixels and for signal to noise ratio and acquires a new image if the number of saturated pixels is at or above a predetermined threshold or the signal to noise ratio for the pixel is below a predetermined threshold. From this inspection a new value of photon flux and/or exposure time is determined and a new image is captured using the new value and the steps are repeated.

Abstract: The position of a next object is estimated efficiently according to the observed value of physical quantity related to the object in an actual environment. An image processing apparatus extracts a first object image of state prediction from a first image and identifies the type of the first object. A model appropriate to the type of the object of state prediction is merged with the first object image and a feature point of the first object image is associated with the model. A plurality of motion sequences are selected from a finite state sequence corresponding to the type of the first object according to the position of the first object and the initial observed state.

Abstract: A method for calibrating a velocimetry system, the velocimetry system including at least one camera for imaging an illuminated volume comprising moving particles according to at least two different fields of view, comprising: receiving preliminary imaging equations; simultaneously acquiring sets of images of the illuminated volume from the fields of view; voxelizing the illuminated volume; dividing each voxelized volume into interrogation volumes and generating templates images of each interrogation volume for each field of view using the preliminary imaging equations, identifying a match between given clusters of particles in the corresponding template image and corresponding clusters of particles in the corresponding set of images; determining position disparities between the given clusters of particles within the template image and the corresponding clusters of particles within the set of images; and for each field of view, modifying the corresponding preliminary imaging equations based on the determined d

Abstract: Multiple algorithm lesion segmentation using an atlas is provided. In various embodiments, a plurality of medical images are read from an image repository. Each of the plurality of medical images has a source modality. Each of the plurality of medical images is registered to an anatomical atlas. An anatomical region depicted in each of the plurality of medical images is determined thereby. Based upon the source modality and the anatomical region depicted in each of the plurality of medical images, one of a plurality of segmentation algorithms is selected for each of the plurality of medical images. The selected segmentation algorithms are applied to each of the plurality of medical images. The results of the selected segmentation algorithms are displayed.

Abstract: A method, electronic device, and non-transitory computer-readable medium for establishing graphical authentication on an electronic device are disclosed. The method comprises: receiving a first user input corresponding to an image, the image comprising a plurality of points of interest; receiving a second user input corresponding to a selected point of interest in the plurality of points of interest in the image; receiving a third user input corresponding to a selected password element; and storing the selected image, the selected point of interest, and the selected password element in association with a user authentication profile in a memory of the electronic device.

Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.

Abstract: A background correction method for CT scan data is provided. A background collection may be performed to collect a first background data set and background data before a CT scan. The CT scan may then be performed to collect one or more CT scan data sets, and status information for collecting each of the CT scan data sets. A second background collection may additionally be performed to collect a second background data set after the CT scan, and status information for collecting the second background data set may also be recorded. The first background data set, the second background data set and corresponding status information may then be used to obtain a background data set for collecting each of the CT scan data sets. The corresponding background data set may be removed from each of the CT scan data set to obtain a background-corrected CT scan data set.

Abstract: Disclosed are various embodiments for methods and systems for three-dimensional imaging of subject particles in media through use of dark-field microscopy. Some examples, among others, include a method for obtaining a three-dimensional (3D) volume image of a sample, a method for determining a 3D location of at least one subject particle within a sample, a method for determining at least one spatial correlation between a location of at least one subject particle and a location of at least one cell structure within a cell and/or other similar biological or nonbiological structure, a method of displaying a location of at least one subject particle, method for increasing the dynamic range of a 3D image acquired from samples containing weak and strong sources of light, and method for sharpening a 3D image in a vertical direction.

Abstract: A system and method for reconstructing an image using a cone-beam computed tomography (CT) imaging system includes acquiring data from a subject with the CT imaging system using a limited scan range that is less than 360 degrees. The process also includes reconstructing at least one image of the subject having a first temporal resolution from the data acquired, performing a temporal deconvolution of the at least one image using a finite temporal window to generate at least one image of the subject with a second temporal resolution that is greater than the first temporal resolution, and subtracting the at least one image of the subject with the second temporal resolution and a mask image of the subject to generate a time-resolved CT angiogram of the subject.

Abstract: A method and system are proposed to obtain a reduced speckle noise image of a subject from optical coherence tomography (OCT) image data of the subject. The cross sectional images each comprise a plurality of scan lines obtained by measuring the time delay of light reflected, in a depth direction, from optical interfaces within the subject. The method comprises two aligning steps. First the cross sectional images are aligned, then image patches of the aligned cross sectional images are aligned to form a set of aligned patches. An image matrix is then formed from the aligned patches; and matrix completion is applied to the image matrix to obtain a reduced speckle noise image of the subject.

Abstract: An information processing device includes a data processing unit that executes analysis of images which are captured from different viewpoints. The data processing unit executes an object distance calculation process in which pattern-irradiated images of a plurality of different viewpoints are applied, and an object detection process in which non-pattern-irradiated images are applied.

Abstract: The image signature extraction device includes an image signature generation unit and an encoding unit. The image signature generation unit extracts region features from respective sub-regions in an image in accordance with a plurality of pairs of sub-regions in the image, the pairs of sub-regions including at least one pair of sub-regions in which both a combination of shapes of two sub-regions of the pair and a relative position between the two sub-regions of the pair differ from those of at least one of other pairs of sub-regions, and based on the extracted region features of the respective sub-regions, generates an image signature to be used for identifying the image. The encoding unit encodes the image signature.

Abstract: A search system includes circuitry configured to detect an first object to be a search target, from information of an image that is captured by an imaging device, determine a parameter in consideration of how the first object is viewed in the image, in accordance with a height at which the imaging device is installed, a depression angle of the imaging device, and a distance from the imaging device to the first object, divide an image region corresponding to the first object into at least two image regions based on a dividing ratio that is obtained by correcting a predetermined ratio in accordance with the parameter, and specify a second object in another image based on feature information of each of the at least two image regions, the second object corresponding to the first object in the image.

Abstract: In a lane boundary line information acquiring device, a detection unit detects lane boundary lines. A driving environment acquiring unit acquires a driving environment. A probability information acquiring unit acquires probability information containing a probability of presence of a lane boundary line, etc. based on the detected lane boundary lines and the acquired driving environment. A position information acquiring unit acquires position information of the own vehicle. A memory unit associates the probability information with the position information of the own vehicle. Where the position information is acquired by the position information acquiring unit at a time when the probability information acquiring unit acquires the probability information, and stores the probability information associated with the position information into the memory unit. A readout unit reads out the probability information associated with the position information at a location in front of the own vehicle.