Abstract: A spherical harmonic is defined which is an operationally optimal small finite subset of the infinite number of spherical harmonics allowed to exist mathematically. The composition of the subset differs depending on its position on virtual hemisphere. The subsets are further divided into small spherical tesserae whose dimensions vary depending on the distance from the hemispherical center. The images of the outside visual scenes are projected on the flat surface of the webcam and from there are read and recalculated programmatically as if the images have been projected on the hemisphere, rotational invariants are then computed in the smallest tesserae using numerical integration, and then invariants from neighboring tesserae are added to compute the rotational invariant of their union. Every computed invariant is checked with the library and stored there if there is no match. The rotational invariants are solely used for visual recognition and classification and operational decision making.

Abstract: An imaging device incorporated in an omnidirectional video capturing system including an imager, a memory, and a transmitter. The imager includes imaging lenses to capture images from a plurality of directions. The memory stores projective transformation data. The projective transformation data includes photographing direction data representing the plurality of directions and projection data representing image heights of the images associated with angles at which light rays enter the imaging lens. The transmitter reads the projective transformation data stored in the memory, and transmits frame data of the images and the projective transformation information to an image processing device of the omnidirectional video capturing system.

Abstract: According to one embodiment, a display control device includes an image acquirer that acquires captured image data output from an imager that captures an image of a surrounding of a vehicle, and a display processor that displays an image of the captured image data, the image being transformed so that a corner image is moved to outside of a display region at a ratio greater than that of an image of another part, on a display.

Abstract: According to an aspect of the present invention, a method for transmitting omnidirectional video is disclosed. The method of transmitting omnidirectional video according to an embodiment of the present invention includes acquiring an image for the omnidirectional video, projecting the image for the omnidirectional video onto a 3D projection structure, packing the image projected onto the 3D projection structure in a 2D frame, encoding the image packed into the 2D frame, and transmitting a data signal containing the encoded image and metadata about the omnidirectional video.

Abstract: A method includes defining a virtual space including a virtual camera; an operation object; and a target object. The method includes detecting a position of a head-mounted device and a position of a part of a body other than a head. The method includes moving the virtual camera in accordance with movement of the head-mounted device. The method includes moving the operation object in accordance with movement of the part of the body. The method includes selecting the target object in accordance with movement of the operation object. Selecting the target object includes correcting a direction or a position of the target object based on a positional relationship between the operation object and the target object; and associating the target object, the corrected direction or the corrected position, with the operation object. The method includes moving the target object in accordance with movement of the operation object.

Abstract: This disclosure concerns the determination of electronic multispectral or hyperspectral images, such as by a processor in a camera. The processor receives first image sensor signals that are associated with a first wavelength and with multiple first imaging elements at respective first imaging element locations. The processor determines a spline approximation to the first image sensor signals across the first imaging element locations and determines the multispectral or hyperspectral image data by interpolating the spline approximation at the pixel location. Finally, the image data is stored on a data store. Using splines to interpolate the image sensor signals outperforms other methods, which means increased image quality due to more accurate interpolation. More specifically, using splines leads to a more accurate spectrum at each point and reduced spectral error compared to other methods.

Abstract: In an embodiment, a touch sensitive device includes a touch interface having conductors and a signal generator for generating signals on the conductors. A touch processor identifies touch on the touch interface by processing touch signals present on the conductors, and outputting a stream of touch events. A decimator receives the stream of touch events and outputs a modified stream of touch events for use by the touch sensitive device, the modified stream of touch events may include predicted or estimated usable touch events.

Abstract: The present invention is to provide a method for ensuring perfect stitching of a subject's images in a real-site image stitching operation, which enables an electronic device to read two real-site images which are taken respectively of different parts of the same site and each of which has an overlap area of a common subject; to determine and choose an optimal stitching path bypassing the subject; to construct a mask diagram such that, within a difference diagram of the overlap areas, the farther a pixel on one side of the optimal stitching path is from the optimal stitching path, the greater the pixel's value, and the farther a pixel on the other side of the optimal stitching path is from the optimal stitching path, the smaller the pixel's value; and to stitch and fuse the overlap areas together through a fusion algorithm, with the mask diagram serving as a weight.

Abstract: A construction machine is equipped with a plurality of monitor cameras that capture the area surrounding a body of the machine. An image processor generates a synthetic bird's eye view image by synthesizing the plural camera images captured by each monitor camera into one. The image processor divides the synthetic bird's eye view image using one or more section lines into plural areas A, B, C, D, and expands the image size for area D corresponding to a blind spot behind and to the right side of the machine. At the same time, the image processor reduces the image size of the remaining areas A, B, C by a corresponding amount, in order to thereby generate a conversion image 60 which is the same overall size as the synthetic bird's eye view image while maintaining a complete view of the area surrounding the machine from all of the cameras. A monitor selectively displays either the synthetic bird's eye view image or the conversion image to the operator.

Abstract: An imaging system and method includes an imaging sensor, a processor in communication with the imaging sensor, a protective window or other exposed optical surface located between the imaging sensor and the scene to be captured by the imaging sensor, and a heater system in thermal communication with the window or other exposed optical surface. The imaging sensor configured to capture images of a scene, each of the captured images comprising a plurality of pixels. The processor is configured to receive information representing the images comprising the plurality of pixels captured by the imaging sensor, determine if rain splash artifacts or bright/dark non-uniformities are present, and remove artifacts in the information representing the images.

Abstract: A computer-implemented flash artifact removal apparatus is described. The apparatus has at least a memory storing a flash image depicting a person's face captured in the presence of a flash illumination, and a non-flash image depicting the person's face captured without flash illumination. A plurality of pixels in the flash image comprise artifacts as a result of flash light reflecting from one or more eyes of the person. The apparatus has a flash artifact removal component which corrects the flash image by replacing at least some of the plurality of pixels in the flash image with pixels computed from at least the non-flash image. The flash artifact removal component is configured to detect edges of features of the one or more eyes in the non-flash image and to detect the plurality of pixels to be replaced in the flash image on the basis of the detected edges.

Abstract: A method for protecting anonymity of an individual in public is presented. The computer-implemented method may include registering a plurality of facial features associated with the individual, and, in response to capturing an image of the individual from a video stream, determining whether the facial features associated with the individual are registered. The computer-implemented method may further include, in response to the determination that the facial features associated with the individual are registered, obscuring the facial features of the individual captured from the video stream with an unidentifiable image.

Abstract: The present disclosure includes methods and systems for correcting distortions in spherical panorama digital images. In particular, one or more embodiments of the disclosed systems and methods correct for tilt and/or roll in a digital camera utilized to capture a spherical panorama digital images by determining a corrected orientation and generating an enhanced spherical panorama digital image based on the corrected orientation. In particular, in one or more embodiments, the disclosed systems and methods identify line segments in a spherical panorama digital image, map the line segments to a three-dimensional space, generate great circles based on the identified line segments, and determine a corrected orientation based on the generated great circles.

Abstract: Apparatus and methods for video image post-processing for correcting, e.g., spatial and/or temporal artifacts. Embodiments described herein obtain frames of video data from a native source and perform super resolution on these captured frames of video data in order to increase the size of these frames. Forward and backward pixel motion calculations are then performed on these calculated super resolution frames. Additionally, superpixel calculations are performed on various objects contained within these super resolution frames and occlusion masks are generated. Interpolated frames of data are then generated by taking into consideration, for example, these generated occlusion masks and the super resolution interpolated frames of data are down sampled back down to their original size.

Abstract: The present invention discloses an image anti-aliasing system, which comprises an edge detection unit, a directional filter, a low-angle directional filter, a directional filtering fusion unit and a result fusion unit; the edge detection unit outputs the edge direction and edge confidence according to an input image, the directional filter outputs a directional filtering result based on the input image and the edge direction, the low-angle directional filter outputs a low-angle directional filtering result according to the input image and the edge direction; the directional filtering fusion unit weights and combines the result output from the directional filter and the result output from the low-angle directional filter according to the edge direction, and outputs a result of weighted combination of two directional filtering results; the result fusion unit outputs an optimized image according to the edge confidence, the input image and the result of the directional filtering fusion unit.

Abstract: The present invention discloses a contrast adaptive video denoising system, which comprises a frame memory for buffering the filtered frame; an inter-frame difference calculating module for inter-frame difference of the current input frame of the video and a previous filtered frame in the frame memory; a contrast calculating module for calculating the local contrast of the current input frame and inputting it into a low-contrast region detection module, a calculated low-contrast region confidence together with the inter-frame difference are input into a motion detection module to calculate the motion probability for each pixel. The motion adaptive temporal filtering module performs motion adaptive temporal filtering by using the current input frame of the video and the previous filtered frame in the frame memory as well as the motion probability of each pixel, and finally outputs the current filtered frame to store in the frame memory.

Abstract: The present invention discloses a video denoising system based on noise correlation, said system comprises a unit for estimating correlation of noises of adjacent pixels, which receives input of the inter-frame difference and motion probability, and estimates correlation of noises of adjacent pixels according to correlation of inter-frame differences between adjacent pixels in a still region, and outputs a noise correlation coefficient; a maximum filtering weight adjusting unit, which adaptively adjusts the maximum weight for temporal filtering according to the noise correlation coefficient and outputs the maximum weight for temporal filtering; the maximum weight for temporal filtering can control the range of fluctuation of the temporal filtering weight and the difference between the denoising effects for different pixels.

Abstract: There are several types of plenoptic devices having a proprietary file format. At present, there is no standard supporting the acquisition and transmission of multi-dimensional information for an exhaustive over-view of the different parameters upon which a light-field depends. As such, acquired light-field data for different cameras have a diversity of formats. The notion of pixel beam, which represents a volume occupied by a set of rays of light in an object space of an optical system of a camera is introduced. The method according to the invention enables to provide data representative of a bokeh associated to a pixel beam. Such data representative of bokeh associated to a pixel beam enables the displaying of an image with good bokeh properties.

Abstract: Embodiments can provide a computer implemented method in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to cause the processor to implement a system for providing profile photo enhancement, the method comprising receiving, from a specification source, one or more specifications for image acceptance criteria; receiving, from an uploading user, an image; examining, through an image processing toolbox, the image to determine if all of the image acceptance criteria are met; if all image acceptance criteria are met, accepting the image; and if one or more image acceptance criteria are not met, processing the image.

Abstract: A method of multi-view deblurring for 3-dimensional (3D) shape reconstruction includes: receiving images captured by multiple synchronized cameras at multiple viewpoints; performing iteratively estimation of depth map, latent image, and 3D motion at each viewpoint for the received images; determining whether image deblurring at each viewpoint is completed; and performing 3D reconstruction based on final depth maps and latent images at each viewpoint. Accordingly, it is possible to achieve accurate deblurring and 3D reconstruction even from any motion blurred images.

Abstract: An image processing apparatus includes a memory configured to store a plurality of image restoration filters depending on an F-number, an acquirer configured to acquire a plurality of first image restoration filters according to an imaging condition from among the plurality of image restoration filters, and an image restorer configured to perform a restoration process for an image through a predetermined calculation process based on the plurality of first image restoration filters, the image being obtained via an imaging optical system that includes an optical element that is configured to change a transmittance.

Abstract: An image processing method of highly accurately correcting an optical degradation of an image pickup apparatus while also suppressing adverse effects is provided. The image processing method includes a step of obtaining a partial area of an input image shot by using an image pickup apparatus, a step of obtaining previously learnt correction information varying in accordance with a position of the partial area, and a correction step of generating a corrected partial area in which an optical degradation of the partial area caused by the image pickup apparatus is corrected by using the partial area and the correction information.

Abstract: An image correction method of projector and an image correction system are provided. An image capturing apparatus shoots a physical calibration panel to obtain a first image, and shoots an outputting image of a calibration panel pattern on a projection screen outputted from the projector to obtain a second image. A processor analyzes the first image to obtain a first calibration parameter and a first homography matrix, and performs an undistorting operation for the second image based on the first calibration parameter to obtain a third image. The processor analyzes the third image to obtain a second calibration parameter and a second homography matrix of the projector. The processor performs a compensating operation for an original image to be outputted from the projector based on the second calibration parameter, the second homography matrix and the first homography matrix to obtain a compensated image.

Abstract: A region extraction unit extracts first and second shape-invariant regions corresponding to each other from first and second three-dimensional images acquired by an MRI apparatus. A first registration unit acquires a first deformation vector by performing rigid registration between the first and second shape-invariant regions. A second registration unit acquires a second deformation vector by performing non-rigid registration between the first and second three-dimensional images in each shape-invariant region. A magnetic field distortion vector calculation unit calculates a magnetic field distortion vector, which represents relative magnetic field distortion between the first and second three-dimensional images based on the first and second deformation vectors.

Abstract: A density region setting unit sets a specific density region having a preset width with respect to a subject region of a radiation image. A compression processing unit performs a dynamic range compression process with respect to the radiation image on the basis of a first compression amount for compressing at least one of the maximum value or the minimum value among pixel values of the subject region into the specific density region and a preset second compression amount for compressing at least one of a high-density region or a low-density region in the specific density region, to generate a dynamic range compression image.

Abstract: An image processing apparatus includes an acquisition unit, first and second correction units, first and second calculation units, and a determination unit. The acquisition unit acquires image data pieces obtained by temporally successively capturing images of an object. The first correction unit acquires first correction data by performing fluctuation correction on processing target image data using temporally neighboring image data pieces among the acquired image data pieces. The first calculation unit calculates, as first displacement data, an amount of displacement between reference and the processing target image data or the first correction data. The determination unit determines a moving object region. The second calculation unit calculates second displacement data by interpolating the first displacement data in the determined moving object region based on the first displacement data or the first correction data.

Abstract: An image processing apparatus includes a setting unit configured to set at least one of a plurality of display modes including a first display mode and a second display mode, and a processing unit configured to perform first gradation conversion processing on input image data when the first display mode is set, and to perform second gradation conversion processing on the input image data when the second display mode is set, wherein the second gradation conversion processing improves a gradation of a part of a gradation range of the input image data to a further extent than the first gradation conversion processing. Upon reception of an instruction for displaying an enlarged image of a part of an image region of the input image data in a state where the first display mode is set, the first display mode is canceled and the second display mode is set.

Abstract: Provided is a display method of displaying, on a display device, video of video data where luminance of video is defined by a first EOTF indicating a correlation of HDR luminance and code values. The method includes: acquiring the video data; performing, regarding each of multiple pixels making up the video in the acquired video data, first determining of determining whether luminance of that pixel exceeds a first predetermined luminance; performing, regarding each of the multiple pixels, dual tone mapping where luminance of that pixel is reduced by a different format in a case of the luminance of the pixel being found to exceed the first predetermined luminance from the first determining, and a case of the luminance of the pixel being found to be equal to or lower than the first predetermined luminance; and displaying the video on the display device using the results of the dual tone mapping.

Abstract: Image processing methods and systems apply filtering operations to images, wherein the filtering operations use filter costs which are based on image gradients in the images. In this way, image data is filtered for image regions in dependence upon the image gradients for the image regions. This may be useful for different scenarios such as when combining images to form a High Dynamic Range (HDR) image. The filtering operations may be used as part of a connectivity unit which determines connected image regions, and/or the filtering operations may be used as part of a blending unit which blends two or more images together to form a blended image.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at relighting a target image based on a lighting effect from a reference image. In one embodiment, a target image and a reference image are received, the reference image includes a lighting effect desired to be applied to the target image. A lighting transfer is performed using color data and geometrical data associated with the reference image and color data and geometrical data associated with the target image. The lighting transfer causes generation of a relit image that corresponds with the target image having a lighting effect of the reference image. The relit image is provided for display to a user via one or more output devices. Other embodiments may be described and/or claimed.

Abstract: An image processing apparatus includes a deterioration degree detector which detects a deterioration degree of each pixel of image data, a deterioration degree change determination unit which determines a degree of a change of the deterioration degree in a predetermined region including a reference pixel and a neighboring pixel therearound in the image data on the basis of the deterioration degree, a correction value setting unit which sets a correction value to correct a deterioration of the reference pixel on the basis of the degree of the change of the deterioration degree, and a correction processor which corrects data regarding the reference pixel on the basis of at least the correction value.

Abstract: A method by which a planar scan videokymographic image generation server generates planar scan videokymographic images by using real-time or pre-stored ultra-high speed laryngeal endoscopy images. The method includes the steps of: (a) acquiring monochrome or color ultra-high speed laryngeal endoscopy images; (b) setting a target region and a unit pixel for generating the 2D scan videokymographic images from the ultra-high speed laryngeal endoscopy images; (e) extracting pixel information of each frame of the ultra-high speed laryngeal endoscopy images according to the unit pixel for the target region; (d) generating frames of the planar scan videokymographic images by combining the extracted pixel information of each frame; and (e) generating a planar scan videokymographic video by combining the frames of the planar scan videokymographic images.

Abstract: In SPECT reconstruction, multi-modal reconstruction is combined with model-based multi-energy image formation. The scatter modeling of the model-based image formation uses resampling to facilitate convolution with the scatter kernels while maintaining resolution for the multi-energy projection. This combination of multi-modal and model-based multi-energy image formation simultaneously addresses the inaccuracy of the image formation process for complicated energy spectra and image blurring due to degradation of resolution. Varying the reconstruction by iteration may provide some of the benefits while reducing computational burden.

Abstract: A metrology system for obtaining a measurement representative of a thickness of a layer on a substrate includes a camera positioned to capture a color image of at least a portion of the substrate. A controller is configured to receive the color image from the camera, store a predetermined path in a coordinate space of at least two dimension including a first color channel and a second color channel, store a function that provides a value representative of a thickness as a function of a position on the predetermined path, determine a coordinate of a pixel in the coordinate space from color data in the color image for the pixel, determine a position of a point on the predetermined path that is closest to the coordinate of the pixel, and calculate a value representative of a thickness from the function and the position of the point on the predetermined path.

Abstract: Embodiments can provide a computer implemented method in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to cause the processor to implement a system for providing profile photo enhancement, the method comprising receiving, from an online platform, one or more specifications for image acceptance criteria; receiving, through an uploading user, a plurality of images; receiving, through a requesting user, a request to view an image; selecting a particular specification for image acceptance criteria; for each image in the plurality of images: examining, through an image processing toolbox, the image to determine if the image acceptance criteria are met; if all acceptance criteria are met, providing the image to the requesting user; if one or more acceptance criteria are not met, taking one or more actions to process the image, reexamining, through the image processing toolbox, the processed image to determine if the image acceptan

Abstract: Disclosed are an apparatus and a method for detecting deformation of a structured light depth imaging system and automatic re-calibration for the depth imaging system. In one embodiment, a depth imaging device includes a light projector, a camera and a processor. The light projector emits light corresponding to a projected pattern image having a plurality of features with known locations in the projected pattern image. The camera captures the light reflected by an environment of the depth imaging device and generates a reflected pattern image as a two-dimensional (2D) projection of the environment. The reflected pattern image includes a plurality of features that correspond to the features of the projected pattern image. The processor detects a misalignment for a distance or an orientation between the light projector and the camera based on a relationship between the features in the projected pattern image and the features in the reflected pattern image.

Abstract: There are provided an imaging section imaging a subject and generating a plurality of images; an evaluating section performing evaluation on the plurality of images generated by the imaging section; a selecting section selecting, based on an evaluation result of the evaluating section, a part of images from among the plurality of images generated by the imaging section; a recognizing section performing scene recognition on a plurality of images selected by the selecting section; and a determining section determining, based on a recognition result of the recognizing section, reproduction order of the plurality of images subjected to the scene recognition.

Abstract: A system for determining positional information of a camera, includes: a plane determination module configured to determine a first plane and a second plane based on a depth image; a plane-association module configured to associate the first plane determined by the plane determination module with a first tool-plane, and to associate the second plane determined by the plane determination module with a second tool-plane, the first and second tool-planes having known positional relationship with respect to each other; and a positional determination unit configured to determine the positional information of the camera based on an output from the plane-association module.

Abstract: A targeting system includes a personal display system, an attitude determination unit and processing circuitry. The personal display system generates or enables a live view of a physical environment including a field element. The attitude determination unit measures an attitude of the targeting system. The processing circuitry determines a relative LOS from the targeting system to the field element based on the attitude and a geographic location of the targeting system, and a geographic location of the field element. The processing circuitry determines a relative position in the live view from its center of the field of view to the field element therein based on the relative LOS, and causes the personal display system to display a primary view that overlays and thereby augments the live view, with the primary view including an icon at the relative position that thereby overlays the field element in the live view.

Abstract: Disclosed herein are apparatus, systems and methods of measuring the weight and distribution of the fluff pulp and super absorbent polymer (SAP) or absorbent gelling material (AGM) of absorbent articles. The apparatus may be located at a position after the absorbent cores are formed. Each absorbent article is passed between the light emitter and the camera as well as between the radio transmitter and the radio detector. The camera and radio detector receive the signal transmitted by the light emitter and the radio transmitter respectively through the absorbent articles. The encoder synchronizes the transmission of data by the camera and the radio receiver to the movement of the web. The computer receives the signal data from radio detector and the image data from the camera from each absorbent article and uses the data to determine at least the weight of the fluff pulp and SAP/AGM in the absorbent core.

Abstract: Methods for characterizing atmospheric turbulence along an optical path from a laser transmitter to a laser receiver can include the steps of counting the number of laser speckles at the receiver imaging plane, and then finding Fried's parameter r0 using the counting result to characterize the turbulence along the path. Before counting speckles, images at the receiver image plane can be preprocessed by capturing the images. The captured images at the image plane can then be blurred and a threshold can be chosen so that only certain pixels in the image are further processed. The thresholding can be via Otsu's methods or via variants of a Gaussian fit. Kostelec's method can then be used to count speckles in the portions of the image that have made it through the thresholding step. Other counting methods could be used. Fried's can then be found using the speckle count.

Abstract: Methods and apparatus to track a blade are disclosed. A disclosed example apparatus includes a blade that is pivotable, first and second optical targets operatively coupled to the blade, and a first camera for collecting first imaging data of the first optical target within a first field of view. The example apparatus also includes a second camera for collecting second imaging data of the second optical target within a second field of view. The example apparatus also includes a selector to select at least one of the first or second imaging data, and a processor to determine an orientation of the blade based on the selected imaging data.

Abstract: A wafer inspection apparatus includes a linear stage configured to support a chuck on which a wafer is disposed and to move the chuck along a guide rail, wherein the guide rail extends in a first direction, an image sensor module overlapping the linear stage, and a rotary stage supported by the linear stage. The rotary stage is configured to rotate the chuck in a state where a center of the wafer is aligned with the image sensor module. The image sensor module includes a light source directing light onto the wafer, and an image sensor extending in a second direction crossing the first direction.

Abstract: A method of comparing measured three-dimensional (3D) measurement data to an object is provided. The method includes obtaining 3D coordinates on the object with a 3D measurement device to measure at least one dimensional characteristic. An AR marker is associated with the object. The AR marker is read with an AR-marker reader and, in response, transmitting the first collection of 3D coordinates and an electronic dimensional representation of the object to a computing device having a camera and a display. The camera is positioned to view an area and to generate a camera image of the area. The camera image is displayed on the integrated display. The at least one dimensional characteristic and the virtual object are displayed in the camera image on the integrated display.

Abstract: A method and system for determining the presence or absence of a part of an assembly within at least one user-defined, 3-D detection region within a work cell are provided. The system includes a 3-D or depth sensor having a field of view at the work cell. The sensor has a set of radiation sensing elements which detect reflected, projected radiation to obtain 3-D sensor data. A processor processes the sensor data from the sensor to obtain a 3-D graphic of the at least one detection region. A display displays the 3-D graphic from a viewpoint to determine the presence or absence of the part within the detection region.

Abstract: The present invention relates to the monitoring of users to prevent pressure ulcers using imaging technologies to detect a user's posture, track the user's poses, detect changes in a user's posture, quantify changes in a user's posture, determine pressure areas from the user's poses, and alert caregivers when a user's current positioning and/or lack of movement may result in the formation of a pressure ulcer. The invention relates to the use of devices that can form images in low to high lighting conditions for monitoring a user to prevent pressure ulcers. These devices include, but are not limited to, thermographic cameras (also known as infrared cameras and thermal imaging camera), image intensifiers (also known as image intensifier tubes), and active illumination.

Abstract: A system includes an imaging acquisition unit, a reconstruction unit, and a determination system. The imaging acquisition unit is configured to perform a scan to acquire imaging information of a patient. The reconstruction unit is configured to reconstruct an image using the imaging information. The determination system is communicatively coupled to the imaging acquisition unit and the reconstruction unit. The determination system includes at least one processor configured to: acquire performance information corresponding to the scan; determine a scan quality for the scan based on the performance information; determine an update to a protocol used to at least one of acquire the imaging information or reconstruct the image; and provide control information to at least one of the imaging acquisition unit or the reconstruction unit to implement the determined update for at least one of performing a subsequent scan or reconstructing a subsequent image.

Abstract: A dermoscopic lesion area is identified by: Obtaining a dermoscopic image and running a convolutional neural network image classifier on the dermoscopic image to obtain pixelwise lesion prediction scores. Segmenting the dermoscopic image into super-pixels, and computing for each super-pixel an average of the pixelwise prediction scores for pixels within that super-pixel. Computing a mean prediction score across the plurality of super-pixels. Assigning a confidence indicator of “1” to each super-pixel with a prediction score equal or greater than the mean prediction score, and a confidence indicator of “0” to each super-pixel with a prediction score less than the mean prediction score.

Abstract: A method for determining a clinical characteristic of a body vessel segment including providing, to a computing device, a three-dimensional reconstruction of a body vessel containing the body vessel segment. A segmented angiography recording of the body vessel segment is provided to the computing device. The computing device extracts at least one global feature of the body vessel from the three-dimensional reconstruction and extracts at least one local feature of the body vessel segment from the angiography recording. The clinical characteristic is determined for the body vessel segment as a function of the at least one extracted local feature and the at least one extracted global feature.

Abstract: Image processing and analysis technique includes using a computer apparatus to assess a patient's magnetic resonance images or derived multiparametric maps for pathology and then automatically generate a prescription based at least in part on that assessment. The parametric maps are derived from an MRI sequence from which multiparametric maps are derivable.