Abstract: A method and system are proposed to obtain quantitative data about the shape of a biological structure, and especially a heart ventricle. A set of three-dimensional input meshes are generated from MRI data. They represent the shape of a ventricle at successive times. The input meshes are used to generate a set of three-dimensional morphed meshes which have the same number of vertices as each other, and have respective shapes which are the shapes of corresponding ones of the input meshes. Then, for each of the times, shape analysis is performed to obtain a curvedness value at each of a plurality of corresponding locations in the morphed meshes. The curvedness value may be used to obtain a curvedness rate at each of the locations, indicative of the rate of change of curvedness with time at each of the locations.

Abstract: A method for detecting a stream of electromagnetic pulses emitted, according to a predefined occurrence law, in a scene observed using a detection system comprising a matrix detector and a processing unit for processing signals comprising the electromagnetic pulses. The method includes the following steps: acquiring and transmitting the signals from the matrix detector to the processing unit, and for each pixel of the detector calculating a subtraction signal between two signals acquired during two consecutive time windows of the same length, calculating a signal for accumulating the subtraction signals spaced apart in time by an interval defined by the predefined occurrence law, and thresholding the accumulation signal, the pulse being detected if the accumulation signal is greater than a predetermined threshold for at least one pixel, and locating the pulse detected in the observed scene from the coordinates of the pixel including the detected pulse.

Abstract: Systems and methods facilitating high definition fiber tracking are disclosed. These systems and methods can utilize a directional Axonal Volume (dAV) value that can quantify the direction and volume of anisotropic water diffusion in axons to assess brain connection integrity. dAV provides a robust and anatomically interpretable measurement of connectivity strength of axon tracts. One method include receiving diffusion magnetic resonance imaging (dMRI) data, quantifying a vector axonal directional diffusion axon volume while removing extracellular isotropic water, segmenting fiber tracks from the data, voxelizing the fiber tracks into voxels, determining voxel dAV values for each voxel and directions, and determining fiber dAV values for each fiber track based on voxel dAV values. This non-invasive method can measure strength and integrity of brain tracts.

Abstract: System, method, and non-transitory computer readable medium encoded with instructions for imaging an object. Dividing raw data into forward scan data and backward scan data. Reversing the order of the backward scan data to produce inverted backward scan data. Determining an offset value that is associated with a maximum value of a first function based on the forward scan data and the inverted backward scan data. The forward scan data is shifted by the offset value relative to the inverted backward scan data. Producing a first image of the object that comprises the forward scan data interlaced with the inverted backward scan data. The forward scan data is shifted by the offset value relative to the inverted backward scan data.

Abstract: A text recognition apparatus and method of the portable terminal is provided for recognizing text image selected by a pen on a screen image as text. The text recognition method of the present invention includes displaying an image; configuring a recognition area on the image in response to a gesture made with a pen; recognizing text in the recognition area; displaying the recognized text and action items corresponding to the text; and executing, when one of the action items is selected, an action corresponding to the selected action item.

Abstract: According to one embodiment, an image processing apparatus includes an operation unit, a comparative determination unit, and an output unit. The operation unit is configured to calculate a standard deviation and an entropy based on tone information of pixels comprising an image, and calculate a ratio between the standard deviation and the entropy. The comparative determination unit is configured to compare the ratio and a reference value. The output unit is configured to output a comparison result obtained by the comparative determination unit.

Abstract: According to implementations of this disclosure, image content is rotated in a content-aware fashion. In one implementation, a mesh is formed over an image and image lines in the image content are identified. The image is warped using an energy function that rotates a subset of the lines a predetermined rotation angle, while rotating other lines by an angle other than the predetermined rotation angle. In one example, lines that are intended to be horizontal or vertical after correcting are rotated by a rotation angle that will make them horizontal or vertical, whereas oblique lines are rotated by an angle other than the rotation angle.

Abstract: A hybrid imaging system including a first imaging system configured to acquire low resolution anatomical data of a first field of view of an anatomical structure. A second imaging system is configured to acquire functional data of the first field of view of the anatomical structure. A reconstruction processor is configured to reconstruct the functional data based on attenuation data into an attenuation corrected image. In response to the attenuation corrected image showing regions of interest, with the first imaging system or another imaging system acquiring high resolution data of one or more portions of the first field of view containing the regions of interest. The reconstruction processor reconstructs the high resolution anatomical data into one or more high resolution images of the regions of interest.

Abstract: Techniques are provided for efficiently identifying relevant product images based on product items detected in a query image. In general, a query image may represent a digital image in any format that depicts a human body and one or more product items. For example, a query image may be an image for display on a webpage, an image captured by a user using a camera device, or an image that is part of a media content item, such as a frame from a video. Product items may be detected in a query image by segmenting the query image into a plurality of image segments and clustering one or more of the plurality image segments into one or more image segment clusters. The resulting image segments and image segment clusters may be used to search for visually similar product images.

Abstract: Technologies are generally described for a general mood adding scheme in a cloud-based game system. In some examples, a method performed under control of a computing device may include receiving from a raw database at least one set of facial expression data, each of the at least one set of facial expression data being accompanied by time information and location information, clustering a geographic area to form at least one cluster based at least in part on the at least one set of facial expression data, and storing the at least one cluster in a map database corresponding to the area.

Abstract: Methods and systems for evaluating bone lesions include accessing a first dataset acquired from a patient with a first imaging modality and a second dataset acquired from the patient with a second imaging modality. A segmentation is performed on the first dataset to identify a subset of the first dataset corresponding to a skeletal structure of the patient and a patient skeletal metric representing a total bone volume of the patient is automatically calculated from the subset of the first dataset. The methods and systems further include detection of at least one lesion in the second dataset, classification of the at least one lesion as a bone or non-bone lesion, automatic calculation of a bone lesion metric based on the classification, and calculation of a lesion burden as a ratio of the bone lesion metric and the patient skeletal metric.

Abstract: A method and system for producing a scalar image from a derivative field and a vector image is disclosed. A function class c is selected, where all members of the class c are functions which map each vector of the vector image to a unique scalar value. A function f is selected from the class c which maps the vector image to a scalar image, the derivative of which is closest to the derivative field. The scalar image is generated from the vector image by using f to calculate each scalar value in the scalar image from a corresponding vector in the vector image.

Abstract: There is provided a device for calculating dynamic variation of an object, comprising: an enhancement processing unit that adjusts brightness of a pixel determined to indicate a particle dispersed in the object in at least two (2) images generated for the object at different time points; and a calculating unit that calculates dynamic variation of the object based on correlation of the different two (2) images processed by the enhancement processing unit. Herein, the enhancement processing unit sets brightness of a pixel having brightness with a threshold value or higher for each of the images to reference brightness higher than the threshold value.

Abstract: An apparatus and method for detecting an obstacle include a camera to photograph first and second images at different points in time successively. A calculator is configured to calculate a movement distance and a rotation amount of a vehicle by comparing the two images photographed by the camera with each other. A rotation amount compensator is configured to compensate for the rotation amount of the first image based on the second image. A difference value calculator is configured to calculate a difference value between the first image of which the rotation amount is compensated for and the second image based on the calculated movement distance of the vehicle. An obstacle detector extracts a region having the difference value exceeding an expectation value to detect the obstacle.

Abstract: A method is disclosed for determining wettability in a subsurface reservoir. Embodiments of the method utilize image analysis techniques for determining wettability indicator values. Wettability indicator values may be determined based on a hydrocarbon wet fraction and a water wet fraction of pore linings, which may both be determined by image analysis of pore walls lined with hydrocarbons using images of sections obtained from core samples. Further details and advantages of various embodiments of the method are described in more detail herein.

Abstract: A method of removing a potential false positive result in a stained sample. The method includes the steps of: acquiring a spectral image set of a stained sample; performing linear spectral unmixing of the spectral image set to obtain a plurality of rule images; calculating an error image for the stained sample; thresholding at least one of the plurality of rule images, wherein thresholding is based on the error image; and removing a potential false positive result from the at least one of the plurality of rule images based on thresholding.

Abstract: Systems and methods that facilitate image motion analysis are described herein. According to a first image motion analysis technique a first image is warped according to a locally affine model. The first warped image and a second image are compared and a match between the first warped image and the second image is discovered. A value for a motion parameter is estimated based on the match. According to a second image motion analysis technique, an image sequence is converted into an input matrix. A column of the input matrix corresponds to a vectorized image related to the image sequence. The input matrix is approximated with a low rank matrix having a lower rank than the input matrix. One or more outliers of the input matrix are detected.

Abstract: An embodiment of the method is disclosed for non-invasive lesion candidate detection in a patient's body includes generating a number of first medical images of the patient's body. The method further includes identifying lesion-like geometrical regions inside the first medical images of the patient's body by applying image processing methods, whereby the identification is at least partly controlled by a number of patient-specific context features which are not directly extractable from the first medical images. In addition, the method includes selecting a number of the identified lesion-like geometrical regions as lesion candidates.

Abstract: A method is provided for operating a driver assistance system of a vehicle, including the following steps: formation of video data that correspond to an object in a surrounding environment of a vehicle, formation of at least one motion parameter of the object relative to the vehicle, based on the video data, and standardized to a distance between the vehicle and the object, calculation of a collision-related threshold value based on the standardized motion parameter, the driver assistance system carrying out an action as a function of a comparison between the threshold value and a collision-related parameter. A driver assistance system, a vehicle, and a computer program are also provided.

Abstract: An image processing system combines higher-resolution panchromatic images and lower resolution multispectral images using a hyperspherical color space pan-sharpening technique. By converting the multispectral images into a hyperspherical color space, the intensities of the multispectral images can be intensity matched to the intensities of the panchromatic image and then retransformed back to the original color space. The intensity matching can utilize a number of techniques, including, but not limited to, direct substitution of the intensities of the panchromatic image for the intensities of the multispectral images, modification of the intensities of the multispectral images based on predefined statistical models and modification of the intensities of the multispectral images based on dynamically generated statistical models and a selected sharpening parameter ?.