Abstract: A medical imaging system configured to receive first image information corresponding with one or more images acquired at a first time, the one or more images including a lesion; receive second image information corresponding with one or more images of the lesion acquired at another time; render volumes of the lesion for each image; and overlays the two volumes. Other factors and/or indicators, such as vascularization indicators, may be calculated and compared between the first image information and second image information.

Abstract: The present disclosure provides in some embodiments an alignment film detecting device including: an imaging unit configured to obtain image information of the alignment grooves on the alignment film of the substrate; and an image processing unit configured to determine whether there is a defect in the alignment grooves on the alignment film based on the image information. According to the alignment film detecting device and the alignment film detecting method provided the present disclosure, the defect of the alignment film on the substrate may be detected, and the image information of the alignment grooves on the alignment film of the substrate may be obtained by the imaging unit, and a recognizing process may be implemented by the image processing unit based on the image information, so that it may accurately determine whether there is a defect in the alignment grooves.

Abstract: An apparatus for examining components comprising laid fiber composite fabrics or woven fiber composite fabrics which comprise a number of thin plies with in part different alignment, comprises a measuring device for carrying out a non-destructive measurement to collect volumetric data of the component and comprising an evaluation device for evaluating the collected data of the component, wherein the evaluation by the evaluation device comprises selecting a first analysis region in the collected data of the component, determining a local coordinate system of the first analysis region, successively establishing local material properties layer-by-layer at predetermined distances in a direction perpendicular to the lateral extent of the first analysis region, detecting ply boundaries along the established material properties, and averaging the local material properties in each detected ply.

Abstract: An efficient patch-based method for video denoising is described herein. A noisy patch is selected from a current frame and a motion-compensated patch in the previous denoised frame is found. The two patches go through a patch-denoising process to generate a denoised patch. A rotational buffer and aggregation technique is used to generate the denoised current video frame.

Abstract: Provided are methods and computing devices wherein in one embodiment, a positional input is utilized to identify variables associated with operations configured to designate groups or ranges of user chosen locations within a document, and operations having access to the designated locations to edit the document. For example, two variables, corresponding to two ends of a line, drawn at various positions on a touch screen within which a text document is displayed, may be utilized to designate groups of two locations in the document within which to move a character: a first representing locations “from” and a second representing locations “to” in which, to move a character. Other embodiments are disclosed, such as grouping user input of symbols, commands and text at various positions on a touch screen within which a document is displayed, into consolidated editing commands and the locations in the document at which to apply them.

Abstract: A magnetic-resonance imaging apparatus of an embodiment includes acquiring circuitry and processing circuitry. The acquiring circuitry acquires a magnetic resonance signal that is generated from a subject. The processing circuitry creates a phase image based on the magnetic resonance signal. The processing circuitry sets a combination of a plurality of filters that are used to remove a phase variation derived from a background magnetic field according to a region in the phase image. The processing circuitry removes a phase variation derived from the background magnetic field from the phase image by using the combination of the filters.

Abstract: An information processing device sets a second scaling factor used to display a character image extracted from an image. The second scaling factor is different from a first scaling factor used to display a background image extracted from the image. The information processing device adjusts at least either the character image changed in display size with the second scaling factor or the background image changed in display size with the first scaling factor, based on the relationship between the display state of the character image changed in display size and the display state of the surrounding area of the character image that has been changed in display size and is overlaid on the background image changed in display size.

Abstract: A method for segmenting bone in spectral image data is described herein. The spectral image data includes at least a first set of image data corresponding to a first energy and second set of image data corresponding to a second different energy. The method includes obtaining the spectral image data. The method further includes extracting a set of features for each voxel in spectral image data. The method further includes determining, for each voxel, a probability that each voxel represents bone structure based on the set of features. The method further includes extracting bone structure from the spectral image data based on the probabilities.

Abstract: A signal processing method for estimating a frequency domain representation of signal from a series of samples distorted by an instrument function, the method comprising obtaining the series of samples; obtaining a set of coefficients that fit a set of basis functions to a complex exponential function wherein the set of basis functions comprises a plurality of basis functions each defined by a shifted version of the instrument function in a signal domain; estimating the frequency domain representation of the signal based on the series of samples and the coefficients. This is wherein the estimate of the instrument function is based on a characterization of the instrument function in the frequency domain at frequencies associated with the complex exponential function.

Abstract: Multiple sets of projection data are provided for respective ones of a first set of volumes. An initial image is generated for a second volume larger than each volume in the first set of volumes. Based on at least the initial image and the sets of projection data, an image of the second volume is reconstructed using multiple iterations of a single iterative reconstruction process.

Abstract: The present invention relates to a system and apparatus for managing and processing raw medical imaging data.

Abstract: One or more techniques and/or systems are described for inspecting an object, such as a tire. The system comprises a radiation imaging system configured to examine the object via radiation to generate a radiation image depicting an interior aspect of the object and a machine vision system configured to measure visible light and/or infrared wavelengths to generate a vision image depicting an exterior aspect of the object. The radiation image and the vision image may be correlated to facilitate an inspection of the object which includes an inspection of the exterior aspect as well as the interior aspect.

Abstract: A character recognition device includes circuitry that is configured to remove duplicate successive points of a plurality of points in a handwritten stroke to form an enhanced handwritten stroke; space the plurality of points a uniform distance apart; detect primary strokes and secondary strokes of the enhanced handwritten stroke; merge the primary strokes; generate a primary merged stroke; extract raw point-based features from local features of the primary merged stroke; extract statistical features from computed statistics associated with the raw point-basal features to form primary merged stroke features; train and classify data from the primary merged stroke features and secondary stroke features to form stroke models; determine a plurality of primary merged stroke model candidates from the stroke models; compute a likelihood value for a combined set of primary stroke candidates and a set of secondary stroke candidates; and determine the handwritten stroke from the computing.

Abstract: An electronic device with fingerprint recognition circuit powered by dedicated power source includes a functional circuit, a plurality of fingerprint sensing electrodes, and a fingerprint sensing control circuit. The functional circuit is powered by a first power source. The fingerprint sensing electrodes are provided for sensing a contact of a finger. The fingerprint sensing control circuit is powered by a second power source which is different from the first power source. The fingerprint sensing control circuit is connected to the fingerprint sensing electrodes for driving the fingerprint sensing electrodes to sense the fingerprint, wherein there is no common current loop between the first power source and the second power source during an operation of fingerprint sensing.

Abstract: A real-time, semi-automatic method for discriminant track initialization in thermal imagery is very critical for tracking since it determines what to track for the tracker. Therefore, any insignificant or false information may result in redundant features or deceptive appearance that can cause premature track losses. To achieve long-term tracking, a real-time, semi-automatic track initialization methodology for IR images is proposed which takes a single image coordinate as input, then generates target bounding box for the most salient segment. The present invention is designed for real-time applications in which erroneous user input is unavoidable. Therefore, error compensation capability of present invention both introduces many practical advantageous together with performance boost. Low computational cost and requirement of only a point coordinate as input in the vicinity of the target make this approach preferable in real-time tracking applications.

Abstract: A traffic signal detection device includes a narrow-angle camera, a wide-angle camera having an angle of view wider than the narrow-angle camera, and a traffic signal detector configured to detect a traffic signal from at least any of a narrow-angle image captured by the narrow-angle camera and a wide-angle image captured by the wide-angle camera. The traffic signal detector selects, as a detection result, any of a traffic signal detected from the narrow-angle image and a traffic signal detected from the wide-angle image, on the basis of a deceleration start region in which a vehicle should start deceleration, the deceleration start region calculated from a position of a traffic signal with respect to the vehicle and a speed of the vehicle in order to stop the vehicle at a stop position with respect to the traffic signal.

Abstract: The present invention can generate lines whose spatial correlation is high from a Bayer array imaging element, and can raise the coding efficiency of a captured image thereby. A read out controller reads two lines of pixel data from the Bayer array imaging element, generates two new lines by sorting, in accordance with a rule set in advance, pixel data included in the two lines that are read out, and outputs the result; a first encoder that inputs and encodes one of the two new lines obtained by the read out controller; and a second encoder that inputs and encodes the other of the two new lines obtained by the read out controller. Then, the read out controller generates a line configured by pixels of a single color component as at least one of the two new lines.

Abstract: In an example embodiment, an optimal cropping of a digital image is determined. A machine learning algorithm is used to generate a professionalism score for the digital image, the utilizing a machine learning algorithm comprising a training mode where a plurality of sample images with labeled professionalism scores are used to train a classification function in a model that produces as professionalism score as output; and an analysis mode where the model is used to generate a professionalism score for the digital image. Then, the professionalism score is used as an input to a discrete variable optimization algorithm to determine an optimum cropped version of the digital image from a plurality of possible cropped versions of the digital image using the classification function.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Abstract: An example electronic device (10) is provided. The electronic device (10) includes a screen (32), at least one electronic component (34) to detect at least one finger contacting the screen (32), and at least one processor (30) having a control unit (33). The control unit (33) processes data from the at least one electronic component (34) indicating that a first finger is contacting the screen (32), identifies a first finger image associated with the first finger, and correlates the contact of the first finger and the identified first finger image to a first action of a pointing input device to perform a first operation on the electronic device (10).