Abstract: Methods, apparatuses, systems, and software for extended phase correction in phase sensitive magnetic resonance imaging utilizing an optimized region-growing based phase correction algorithm. Phase correction is formulated as selecting a vector for each pixel of an image from two input candidate vectors so that the orientation of the output vector is spatially smooth. In certain embodiments, the optimized region growing algorithm uses automated quality guidance for determining the sequence of region growing and jointly considers the two input candidate vectors during region growing. Further, the algorithm tracks the quality and the mode at each step of the processing. Spatially isolated tissue regions are automatically segmented and processed with different threads of region growing and the correct vector is reliably identified as the output vector for each thread of region growing. Final phase correction was performed by pixel level optimization.

Abstract: A determination method for determining reliability of a selective binding amount of a substance to be examined obtained as detection intensity of a label when a labeled substance to be examined binds to a selective binding substance fixed as a spot on a carrier includes: determining a position of the spot in image data obtained by imaging the detection intensity in the carrier and extracting a pixel group corresponding to the spot; calculating a ratio or a difference between a median value of the detection intensity of the pixel group extracted at the determining and a median value of the detection intensity of the pixel group excluding a certain top proportion of and/or a certain bottom proportion of pixels; and determining quality of the reliability based on the ratio or the difference calculated at the calculating and a certain reference value.

Abstract: An apparatus is provided for generating perceptually lossless image data or perceptually enhanced image data including: a color transform unit for color transforming a received image to a desired color space, forming converted color-space (CCS) images; a transform unit for receiving CCS images and transforming the CCS images into transformed CCS images each containing a set of transform coefficients; a quantization unit to quantize the transformed CCS images to form quantized CCS images; an image processor for receiving and processing transformed or quantized CCS images to produce optimized CCS images that are perceptually lossless or perceptually enhanced in quality; and an encoder for compressing the optimized CCS images; wherein the compressed optimized CCS images are subsequently prepared for storage and/or transmission.

Abstract: An evaluation value indicative of the extent of lines in each direction is calculated for a pre-processed image in which 0s are filled in and extended in the lateral direction of the inputted image and which has been reduced ?th in the longitudinal direction. To obtain the angle of rotation of an image from the change in the evaluation value obtained while the angle relative to the lateral direction of the pre-processed image is modified in small steps, a parallel line is drawn for each direction, a projection is taken, and the sum of squares serves as the evaluation value of the direction. The direction having the highest evaluation value serves as the obtained direction of rotation from the normal position. The projection of each direction references the point of intersection between the parallel line drawn for each direction and the coordinate line of the horizontal axis.

Abstract: An apparatus and a method for combining three-dimensional ultrasound images are provide. The method involves obtaining a plurality of three-dimensional ultrasound image data that corresponds to a Region of Interest (ROI); detecting one or more landmarks, using a parameter for detection; outputting the detection result and receiving a response from a user; registering each of one or more selected landmarks as link information according to a received response from the user; and generating a combined three-dimensional ultrasound image by combining at least two pieces of three-dimensional ultrasound image data using at least one of the one or more selected landmarks registered as the link information, wherein the at least two pieces of three-dimensional ultrasound image data commonly comprise the at least one of the one or more selected landmarks.

Abstract: A medical image processing apparatus comprises a structure identifying part, an image generator, and a display controller. The structure identifying part identifies a tubular structure inside a subject and a core line in the axial direction of the tubular structure based on medical image data. The image generator generates medical images when viewing a predetermined observation object from a desired view point position inside the tubular structure. The display controller causes the display to display medical images. Furthermore, at each timing, the image generator identifies view point position at which the relative distance between the position of the observation object and the view point position becomes even among each of the timings, and generates a medical image from the view point position for each timing. Moreover, the display controller causes the display to display a plurality of the medical images generated for each of the timings in chronological order.

Abstract: An action recognition system recognizes driver actions by using a random forest model to classify images of the driver. A plurality of predictions is generated using the random forest model. Each prediction is generated by one of the plurality of decision trees and each prediction comprises a predicted driver action and a confidence score. The plurality of predictions is regrouped into a plurality of groups with each of the plurality of groups associated with one of the driver actions. The confidence scores are combined within each group to determine a combined score associated with each group. The driver action associated with the highest combined score is selected.

Abstract: Systems, methods, and devices for image reconstruction using combined PDE-constrained and simplified spherical harmonics (SPN) algorithm are presented herein. SPN equations can be used as the forward model in diffuse optical tomography (DOT) and employed in a PDE-constrained reduced space sequential quadratic programming (rSQP) optimization method to reconstruct spatially distributed optical properties, such as absorption, scattering, fat, oxygenated hemoglobin, de-oxygenated hemoglobin, fluorescent concentration, quantum yield, etc. The SPN algorithm with the PDE-constrained rSQP optimization method allows for DOT imaging that uses significantly less computational resources (e.g., time and random-access memory (RAM)) than methods employing the equation of radiative transfer (ERT). The techniques disclosed herein allow for more expeditious image processing as well as the potential for clinical diagnosis using DOT imaging.

Abstract: Methods and systems for securing biometric templates and generating secret keys are provided. One or more images are received. Interest points are identified based on the received images, and a plurality of obfuscating data points are generated based on the interest points. An obfuscated template based on the interest points and the obfuscating data points is created and stored. A secret key can be encoded using a subset of at least one of the obfuscating data points and the interest points in the template.

Abstract: System, apparatus, method, and computer readable media for texture enhanced non-local means (NLM) image denoising. In embodiments, detail is preserved in filtered image data through a blending between the noisy input target pixel value and the NLM pixel value that is driven by self-similarity and further informed by an independent measure of local texture. In embodiments, the blending is driven by one or more blending weight or coefficient that is indicative of texture so that the level of detail preserved by the enhanced noise reduction filter scales with the amount of texture. Embodiments herein may thereby denoise regions of an image that lack significant texture (i.e. are smooth) more aggressively than more highly textured regions. In further embodiments, the blending coefficient is further determined based on similarity scores of candidate patches with the number of those scores considered being based on the texture score.

Abstract: A method is provided including acquiring imaging data of an object to be imaged from a computed tomography (CT) detector. The method also includes reconstructing the acquired imaging data into an initial reconstruction image, and performing material characterization of an image volume of the initial reconstruction image to provide a re-mapped image volume. Further, the method includes performing forward projection on the re-mapped image volume to provide forward projection data, and providing an error projection based on the forward projection data. Also, the method includes filtering at least one of the initial reconstruction image, the re-mapped image volume, the forward projection data, or the error projection. The method also includes using the error projection to update the initial reconstruction image to provide an updated reconstruction image.

Abstract: In a case where generating a training image of an object to be used to generate a dictionary to be referred to in image recognition processing of detecting the object from an input image, model information of an object to be detected is set, and a luminance image of the object and a range image are input. The luminance distribution of the surface of the object is estimated based on the luminance image and the range image, and the training image of the object is generated based on the model information and the luminance distribution.

Abstract: A gesture recognition apparatus capable of recognizing a hand by means of a binary image regardless of direction of light contacting the hand. A binarizing processing section binarizes an input image from a camera to a hand recognizing section to prepare a first binary image by a predetermined method. A rebinarizing processing section only rebinarizes a predetermined area of the input image to prepare a second binary image. A contraction processing section performs a contraction processing on the second binary image. The rebinarizing processing can increase the possibility of recognizing the hand by classifying a portion of the hand that was classified into black in the first binary image into white. The hand is determined to be recognizable if the hand can be recognized in the first binary image and/or in the second binary image.

Abstract: According to one embodiment, a medical image processing apparatus includes an acquisition unit, an analysis unit, and a display controller. The acquisition unit acquires volume data of a morphological image and volume data of a functional image which are obtained by imaging an object. The analysis unit analyzes the volume data of the morphological image. The display controller controls to display a reference point on volume data of the morphological image and to decide a slice of the volume data of the functional image which passes through the reference point, based on an analysis result obtained by the analysis unit.

Abstract: According to one embodiment, an apparatus includes input unit, detecting unit, extraction unit, storage, selection unit, determination unit, output unit, and setting unit. The selection unit selects operation or setting modes. In operation mode, it is determined whether captured person is preregistered person. In setting mode, threshold for the determination is set. The determination unit determines, as registered person and when operation mode is selected, person with degree of similarity between extracted facial feature information and stored facial feature information of greater than or equal to threshold. The setting unit sets, when setting mode is selected, threshold based on first and second degrees of similarity. First degree of similarity is degree of similarity between facial feature information of the registered person and the stored facial feature information.

Abstract: The invention discloses an image restoration method and an imager processing apparatus using the same. The method includes the following steps: receiving a haze image comprising a plurality of pixels; detecting whether a color cast phenomenon occurs on the haze image; if yes, calculating a plurality of Laplacian distribution values respectively corresponding to the color channels; determining a maximum distribution value and a minimum distribution value among the Laplacian distribution values, and generating a self-adaptive parameter by comparing the maximum distribution value and the minimum distribution value; adjusting the transmission map by the self-adaptive parameter so as to generate a adjusted transmission map; calculating a plurality of color parameters respectively corresponding to the color channels according to the Laplacian distribution values; and restoring the haze image by using the color parameters and the adjusted transmission map so as to obtain a restored image.

Abstract: The image reconstruction method includes performing a forward projection of a first image of an object using a line integral-based value and a point spread function (PSF)-based value to acquire a forward projection value, and performing a back projection of raw image data using the forward projection value to acquire a second image of the object.

Abstract: A method implemented using at least one processor includes receiving time-varying image dataset generated by a medical imaging modality. The image dataset corresponds to a bed position and is affected by quasi-periodic motion data. The method also includes applying a signal decomposition technique to the time-varying image dataset to generate a plurality of dataset components and a plurality of motion signals. The method also includes determining reference data based on the time-varying image dataset, wherein the reference data is representative of a direction of the quasi-periodic motion. The method further includes deriving polarity of each of the plurality of motion signals based on the reference data to generate a plurality of sign corrected motion signals. The method also includes determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.

Abstract: A method and system for blood flow velocity reconstruction from medical image data is disclosed. Flow system geometry of a flow conduit is generated from medical image data. The flow system velocity includes an inlet, walls, and one or more outlets of the flow conduit. A measured velocity field is extracted from the medical image data. Inlet and wall fluxes are estimated based on the measured velocity field or other external measurements. Outlet fluxes are estimated such that mass conservation is constrained based on the inlet and wall fluxes. A reconstructed velocity field is calculated by solving flux-constrained Poisson (FCP) equations that are constrained by the estimated output fluxes.

Abstract: Disclosed is an apparatus for image processing including a first low pass filter (LPF) which removes high-frequency components from selection information about image data selection between a long-exposure image and a short-exposure image, a movement detector which obtains movement detection information by detecting movement from at least one of the images, a second LPF which removes high-frequency components from the movement detection information, a selector which obtains selection results by selecting one of the selection information from which the high-frequency components are not removed by the first LPF and the selection information from which the high-frequency components are removed by the first LPF, for each pixel group based on the movement detection information from which the high-frequency components have been removed, and a composer which composes the long-exposure image and the short-exposure image based on the selection results.