Abstract: Techniques of compressing level of detail (LOD) data involve defining a cost metric that predicts how much computing resources are necessary to decode and render a mesh at a given LOD. The cost metric may be optimized by a selection of a LOD reduction process of a plurality of processes at each LOD reduction step. For each process of the plurality of processes, the LOD is reduced according to that process and the resulting reduced LOD is evaluated according to the cost metric. Each such process at that LOD reduction step produces a respective LOD, which includes a mesh, one or more texture atlases, and/or other attributes. The LOD produced by the process having the lowest value of the cost metric at a reduction step is the LOD that is input into the next LOD reduction step.

Abstract: In tomosynthesis imaging for obtaining a tomosynthesis image from a projected image group captured by irradiating an object with X-rays from a plurality of different angles by using an X-ray generation unit and an X-ray detection unit, in association with a process for setting data of a projected image group as a reject, data of a tomosynthesis image generated on the basis of the projected image group is set as a reject.

Abstract: Detection of intravascular plaque in OCT images is carried out by obtaining images of vascular tissue from a vascular component by OCT either in a static mode of a single image or in a dynamic mode where the images are obtained by scanning. The method acts by dividing the OCT image into different regular regions, calculating different texture features for each of the above regions with a reduced set of less than a full set of the 26 Haralick textural features, using a clustering algorithm to segment the image defined by its texture features calculated above into different regions and transforming the segmented image back from its representation using texture features to its space-domain representation. The method uses three or four texture features where the reduced sets can be f1, f 2, and f14 (ASM at 0°, Inertia at 0° and ASM at 90°).

Abstract: A system for fusing images to account for motion compensation includes an imaging modality configured to obtain a baseline image and current images. A live tracking system is configured to track an imaging instrument for capturing the baseline image and the current images, the live tracking system having a coordinate system registered with the baseline image and the current images. A pose analyzer unit is configured to employ field of view differences between a pose for the baseline image and a pose for a current view image using the live tracking system to generate success parameters. The success parameters are conveyed to the user to provide feedback on image acquisition for motion compensation between the baseline image and the current view image.

Abstract: N vehicle accident images are obtained, where N is a natural number greater than or equal to 2. N feature vectors are obtained by inputting the vehicle accident images into a trained convolutional neural network, where the N feature vectors respectively correspond to the vehicle accident images. A distance is calculated between any two feature vectors of the N feature vectors. A determination is made that two vehicle accident images of the N vehicle accident images corresponding to the distance are abnormal when the distance is greater than a first predetermined threshold.

Abstract: N vehicle accident images are obtained, where N is a natural number greater than or equal to 2. N feature vectors are obtained by inputting the vehicle accident images into a trained convolutional neural network, where the N feature vectors respectively correspond to the vehicle accident images. A distance is calculated between any two feature vectors of the N feature vectors. A determination is made that two vehicle accident images of the N vehicle accident images corresponding to the distance are abnormal when the distance is greater than a first predetermined threshold.

Abstract: A radiation image processing apparatus includes a display and a hardware processor. The display displays an image. The hardware processor is configured to perform the following, acquire radiographic moving image data comprising a plurality of frame images, subject the moving image data to predetermined analytical processing, generate an analyzed moving image comprising a plurality of analyzed frame images, select a plurality of specific analyzed frame images from the analyzed frame images of the analyzed moving image, derive a calculation signal value based on signal values of pixels having common coordinates positioned in common coordinates in the selected specific analyzed frame images, and cause a calculated image based on the calculation signal values generated according to coordinates to appear on the display.

Abstract: A vehicle subsystem includes an on-vehicle camera that is disposed to monitor a field of view (FOV) that includes a travel surface for the vehicle. A controller captures, via the on-vehicle camera, an image file associated with the FOV and segments the image file into a first set of regions associated with the travel surface and a second set of regions associated with an above-horizon portion. Image features on each of the first set of regions and the second set of regions are extracted and classified. A surface condition for the travel surface for the vehicle is identified based upon the classified extracted image features from each of the first set of regions and the second set of regions. Operation of the vehicle is controlled based upon the identified surface condition.

Abstract: Systems and methods for producing blot images. A blot, for example a western blot, is imaged using an imaging system having a field of view and a magnification. Features of interest in the blot correspond to features in the digital image, and the sizes of the features in the digital image depend on the magnification of the imaging system. A structuring element is selected based on the sizes and shapes of the features in the digital image, and the image is morphologically eroded and dilated varying numbers of times. The eroded and dilated image is subtracted from the original blot image to remove background signal from the blot image, producing an output image. The number of erosions needed to completely erode the features of interest is determined automatically, for example by investigating the behavior of the kurtosis of the output image as a function of the number of erosions performed.

Abstract: An image processing device (100) includes a change detection unit (101) that detects a target state change in a person on the basis of an input image, and a determination unit (102) that determines an abnormal state in accordance with a detection obtained by detecting occurrences of the target state change in a plurality of persons.

Abstract: Various embodiments of this disclosure provide a medical imaging apparatus and a method of processing a medical image. The medical imaging apparatus includes a data obtainer configured to obtain raw data generated by performing a tomography scan on an object. The medical imaging apparatus also includes a processor configured to obtain, from the raw data, a plurality of pieces of monochromatic image data respectively corresponding to a plurality of energy levels. The processor is also configured to receive an external input that sets a combination of weights respectively applied to the plurality of pieces of monochromatic image data. The processor is also configured to generate a synthetic image by applying the combination of the weights to the plurality of pieces of monochromatic image data. The medical imaging apparatus also includes a display configured to display the generated synthetic image.

Abstract: A method and system are provided for obtaining a true shape of objects in a medical image. The method includes receiving X-ray stand geometry parameter values, an Anglepoint, and an Anglestand values; selecting a plurality of pixels representing an object in the X-ray image; and determining magnification of each pixel in the X-ray image, that enables accurate determination of size and shape of imaged objects. The method may include determining an actual size of the object in the X-ray image and selectively reshaping the object in the X-ray image to obtain a true shape of the object.

Abstract: Described herein are systems and methods of selecting treatment parameters values for treating skin lesions. A device may establish a treatment parameter selection model using a training dataset. The training dataset may include a plurality of examples. Each example may include a sample image of an example skin lesion to which a treatment is administered using an applicator. Each example may include a first label indicating success or failure of the treatment. Each example may include a second label corresponding to treatment parameters defining the treatment. The device may identify an input image. The device may determine that the input image corresponds to a skin lesion based on visual characteristics of the input image. The device may apply the treatment parameter selection model to the input image to output a recommended treatment to apply. The device may store an association between the input image and the recommended treatment.

Abstract: In one embodiment, a method includes generating, by a device, first tracking data using a first tracking algorithm, based on first video frames associated with a scene. An augmented-reality (AR) effect may be displayed based on the first tracking data. The device may generate a first confidence score associated with the first tracking data and determine that the first confidence score is above a threshold. The device may generate, based on second video frames subsequent to the first video frames, second tracking data using the first tracking algorithm. The device may determine that an associated second confidence score is below a threshold. In response, the device may generate, based on third video frames subsequent to the second video frames, third tracking data using a second tracking algorithm different from the first. The device may then display the AR effect based on the third tracking data.

Abstract: An apparatus and method are provided for computed tomography (CT) imaging to reduce artifacts due to objects outside the field of view (FOV) of a reconstructed image. The artifacts are suppressed by using an iterative reconstruction method to minimize a cost function that includes a de-emphasis operator. The de-emphasis operator operates in the data domain, and minimizes the contributions of data inconsistencies arising from attenuation due to objects outside the FOV. This can be achieved by penalizing images that manifest indicia of artifacts due to outside objects especially those outside objects have high-attenuation densities and minimizing components of the data inconsistency likely attributable to the outside object.

Abstract: A system and methodologies for neuromorphic (NM) vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and method for cardiac image segmentation are provided. A plurality of slice images of a myocardium of a left ventricle at a plurality of time phases in a cardiac cycle may be obtained. An end-diastolic phase may be determined. A first slice image at the end-diastolic phase may be retrieved. A region of interest (ROI) in the first slice image may be obtained. A blood pool region in the ROI may be segmented. The ROI may be transformed into a polar coordinate image. A dual dynamic programming operation may be performed on the polar coordinate image to determine endocardial and epicardial boundaries of the myocardium in the polar coordinate image. The polar coordinate image may be transformed into a Cartesian coordinate image to obtain the endocardial and epicardial boundaries of the myocardium in the first slice image at the end-diastolic phase.

Abstract: An image processing apparatus configured to perform averaging processing on pixel values of pixels having different color filters to obtain a signal value, and generate motion detection images based on the signal value in such a way that, in WLI, a weight of a pixel value for a filter for passing light of a luminance component of a captured image in WLI is set to be larger than or equal to a weight of a pixel value for a different filter while in NBI, a weight of a pixel value for a filter for passing light of a luminance component of a captured image in NBI is set to be larger than or equal to a weight of a pixel value for a different filter. Based on the captured images at different points in time, the image processing apparatus detects motion between two of the generated motion detection images.

Abstract: A computer method for correlating depictions of colonies of microorganisms includes receiving an image of a substrate associated with a first time and showing a colony of microorganisms. A second image of the same substrate and associated with a second time shows a candidate colony of microorganisms. A region of the second image that shows the candidate colony of microorganisms is located. The first region of the first image is compared to the second region of the second image. Based on the comparison of the images, the candidate colony of microorganism is determined to be the same colony as the first colony of microorganisms. Systems for moving substrates having colonies of microorganisms and maintaining orientation of the substrates before and after movement are also described.

Abstract: A light homogenization method for multi-source large-scale surface exposure 3D printing, comprising the following steps: projecting pure-color images of a first color and a second color having identical attributes capturing an image of an overlapping portion and calculating height and width information of the overlapping portion; splitting a pre-processed slice and respectively recording width and height information of two slices resulting from the splitting and generating two grayscale images having identical attributes thereto; counting power values of identical positions of slices in different grayscale values, performing a further calculation to obtain a projection mapping function, using the projection mapping function as a basis for performing optimization on grayscale interpolation of the generated images; and fusing the processed grayscale images and the originally split two slices to obtain a surface exposure 3D printing slice having a uniform brightness in final shaping.