Abstract: This application provides a battery wetting state detection method and apparatus, a device, a system, and a medium and pertains to the field of battery technologies. The detection method may include: obtaining a three-dimensional tomographic image of a battery through neutron imaging; and determining a wetting state of the battery based on the three-dimensional tomographic image.

Abstract: A method of encoding a point cloud into a bitstream of encoded point cloud data representing a physical object is provided. The method includes an azimuthal coding mode providing a series of bits for encoding a coordinate of a point of the point cloud. The method includes: dividing an interval, to which the point coordinate belongs to, into a left half interval and a right half interval; selecting a context based on an apparent angle (AAd) representing an interval angle seen from a sensor that captured the point; and context-adaptive binary entropy encoding a bit (bd) of the series of bits, into the bitstream, based on the selected context, the encoded bit (bd) indicating which of the two half intervals the point coordinate belongs to.

Abstract: A method for dental treatment may include receiving a plurality of images of a patient's dentition, identifying, from the plurality of images, individual teeth of the patient's dentition, detecting, from the plurality of images, one or more attachments on the patient's dentition, assigning, based on each of the plurality of images, each of the one or more attachments to one of the individual teeth in each image, and combining the assignments of each of the plurality of images for attachment detection results.

Abstract: Apparatuses and methods are disclosed for generating scores indicative of the severity of an acne condition of skin based on images of the skin. In exemplary implementations, a cross-polarized image with a skin area appearing therein is obtained and transformed to generate a red component image which is used to detect erythema in the skin area. A texture image with the skin area appearing therein is also obtained and is used to detect raised portions of the skin area. An acne severity score based on the erythema and raised portions detected in the skin area is generated and an indication thereof is output. Additionally, a fluorescence image with the skin area appearing therein can also be obtained and used to detect portions of the skin area containing a porphyrin indicative of acne, which can also be used in generating the acne severity score.

Abstract: A control unit outputs, to the user terminal, a first item including a first component value in a plurality of principal components composing items, and a plurality of item candidates including component values that are different from the first component value. The control unit specifies a second item selected in the user terminal from among the plurality of item candidates. The control unit calculates, for each principal component, the positional relationship between the first component value and a second component value of the second item. The control unit calculates, for each principal component, a distribution based on the component values according to the positional relationship. The control unit newly generates, for the second item, a plurality of item candidates on the basis of the distribution based on the component values. The new item candidates are output to the user terminal.

Abstract: At the time of automatic selection of a key image from among a large number of medical examination images, a medical imaging apparatus compares information extracted based on a sample image created in advance with information of an examination image, and performs common category determination and similarity degree determination. As a result of the comparison, the examination image selected to be close to the sample image is set as the key image, and storage processing is performed. The stored key image can be used for medical reports.

Abstract: A system and a method for modeling local and global spatio-temporal context in a video for video recognition includes obtaining an input feature map and transforming the input feature map using linear functions to generate a spatial feature map and a temporal feature map corresponding to a video. The method further includes generating hierarchical contextual feature maps based on the spatial feature map and the temporal feature map that represent a context of the video at multiple levels of granularity. The method further includes aggregating the hierarchical contextual feature maps based on gating weights to obtain a spatial modulator and a temporal modulator that are representative of an aggregated context across the multiple levels. The method further includes obtaining an output spatio-temporal feature map based on the spatial modulator, the temporal modulator, and a query token associated with the video.

Abstract: The fruit perception system for a robotic harvester acquires and processes fruit detection and localization information to enable a robotic manipulator arm to connect with a targeted fruit. The system includes multiple embodiments, but comprises at least one RGB-D camera and one horizontally slidable line scan laser. The system uses the RGB-D camera data and a planning algorithm to identify a specific target fruit to pick first. The line scan laser paints the surface of the target fruit with a laser line and the RGB-D camera extracts line scan laser image data and communicates the line scan laser image data to a controller/processor. The controller/processor processes the extracted laser line image data and determines the xyz position of the centroid of the target fruit, so that the controller/processor directs a manipulator arm to pick the fruit.

Abstract: The cell analysis method includes: a first storage step of storing a first liquid containing a cell in a first tank; a second storage step of storing a second liquid containing a compound in a second tank; a first discharge step of discharging the first liquid to a plurality of portions on a substrate, to thereby form a plurality of first liquid droplets; a second discharge step of discharging the second liquid to the plurality of portions on the substrate in such a manner that the second liquid is allowed to be admixed with the first liquid droplets; a result acquisition step of acquiring results of a reaction between the cell and the compound; and an analysis step of analyzing the results acquired in the result acquisition step to specify a portion in which results satisfying predetermined criteria are obtained among the plurality of portions.

Abstract: A computer-implemented method uses a plurality of input examination data sets, created by performing a plurality of imaging examinations of at least one patient on at least one scanner, to learn a model of imaging protocols. The model may learn imaging protocols by capturing common features across the plurality of input examination data sets. The method may regroup examination data sets, within the plurality of input examination data sets, with common features under a common protocol tag, and learning the model may include generating a plurality of protocol tags. The model may be updated over time based on new input examination data sets.

Abstract: An encoder may select a BC7 partition by computing gradient strengths between adjacent pixels in multiple directions and shortlisting candidate partitions based on strength. Gradient totals may be scaled to normalize different counts of adjacent pixel pairs across directions. A partition may then chosen from the shortlist by evaluating per channel extents within the partition subsets with optional weighting by subset size and reuse of intermediate minimum and maximum bounds. Alpha contributions may be omitted for blocks in which all pixels are fully opaque. The selected partition may be used to process a block for storage or transmission and later decompression at a rendering device, and the approach can be combined with mode selection predicted from features based on per channel ranges.

Abstract: A data processing method according to the present invention comprises the step of: loading at least a part of sample data corresponding to a training model into a user interface; matching the sample data with scan data obtained by scanning the training model; and assessing the scan data on the basis of a result of the matching between the scan data and the sample data.

Abstract: The present disclosure provides systems and methods for generating comments corresponding to an input video. Given an input video, comments with content relevant to the input video can be generated. One aspect includes a computing system comprising a processor and memory. The processor can be configured to execute a program using portions of the memory to receive an input video in a social networking system, generate at least one predicted comment corresponding to the input video based on video frames of the input video and a user profile of a target user, and present the at least one predicted comment to the target user.

Abstract: The present disclosure relates to a data processing method for a detector of a medical device, which includes: obtaining a plurality of dark current values of at least one detector channel of a detector within a preset time period, adjusting the plurality of dark current values based on a preset scanning precision to determine a plurality of adjusted dark current values, and determining a dark current compensation value corresponding to the at least one detector channel based on the plurality of adjusted dark current values.

Abstract: An image processing method includes receiving an image, calculating a luminance component of the received image, estimating an illuminance component of the image by using the luminance component, calculating a gamma value, based on the luminance component and the illuminance component, and calculating the luminance component with an improved dynamic range using a conversion ratio based on the gamma value.

Abstract: Described herein are methods and systems for stabilizing a laser on a moving platform with multiple modes of frequency generation using multiple sensors for sensing different frequencies of motion of the laser on the moving platform. The systems and methods use a processor to provide a plurality of feedback loops, comparisons, and/or combinations of data from the multiple sensors to create a set of correction data that is used to direct the laser output via a laser pointing correction system to achieve one or more output effects for tracking a target, guiding a vehicle or a munition and/or illuminating a scene in a particular manner while the platform is moving, including by using a combination of open loop and closed loop processing.

Abstract: An image restoration method, apparatus and device, and a storage medium are provided. The method comprises: evaluating, by an unsharpness evaluation network, an image to be processed, to generate an unsharpness feature map: inputting said image to be processed and the unsharpness feature map into a blur elimination main network; and iteratively processing, by the blur elimination main network, the image to be processed for a set number of times according to the unsharpness feature map to output a restored image. In the above-mentioned technical solution, an unsharpness feature of an image to be processed is extracted by using an unsharpness evaluation network, and iterative processing is performed on said image to be processed by using a blur elimination main network, where the networks are trained networks having corresponding functions, such that automatic restoration of an image can be realized, and image restoration efficiency and quality are improved.

Abstract: A device and a method for correcting an error in position information of an external device recognized by internal circuits in an electronic device are provided. The electronic device includes a housing, a first camera disposed in a first region of an inner space of the housing, a position estimation device disposed in a second region, different from the first region, in the inner space, and a processor operatively connected to the first camera and the position estimation device, wherein the processor can identify a first distance between the first camera and the position estimation device, estimate the position of the external device through the position estimation device, and correct, on the basis of the estimated position of the external device and the first distance, the position of an object related to the external device in image information acquired through the first camera.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image related to the pancreas. The processing circuitry is configured to extract a pancreas region included in the medical image. The processing circuitry is configured to extract at least one tubular structure region from the inside of the pancreas region. The processing circuitry is configured to identify a first end part and a second end part related to the pancreas on the basis of the pancreas region. The processing circuitry is configured to estimate a primary pancreatic duct centerline of the pancreas on the basis of the tubular structure region, the first end part, and the second end part.