Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for monitoring the flow of drilling mud from a wellbore by image processing. One method includes: capturing, using a digital imaging device, images of drilling mud at a surface of the wellbore as the drilling mud flows through one or more image capture zones of a circulation system that circulates drilling mud through the wellbore and a wellbore drilling assembly; receiving, by one or more processors of a computer system operatively coupled to the digital imaging device, the images captured by the digital imaging device; and processing, by the one or more processors, the images captured by the digital imaging device to determine a rate of flow of the drilling mud through the one or more image capture zones.

Abstract: The technology disclosed corrects inter-cluster intensity profile variation for improved base calling on a cluster-by-cluster basis. The technology disclosed accesses current intensity data and historic intensity data of a target cluster, where the current intensity data is for a current sequencing cycle and the historic intensity data is for one or more preceding sequencing cycles. A first accumulated intensity correction parameter is determined by accumulating distribution intensities measured for the target cluster at the current and preceding sequencing cycles. A second accumulated intensity correction parameter is determined by accumulating intensity errors measured for the target cluster at the current and preceding sequencing cycles. Based on the first and second accumulated intensity correction parameters, next intensity data for a next sequencing cycle is corrected to generate corrected next intensity data, which is used to base call the target cluster at the next sequencing cycle.

Abstract: A method and device for detecting bright spots on an image. The image is acquired from a field of view where a base extension reaction occurs, multiple nucleic acid molecules with optically detectable labels exist in the field of view where the base extension reaction occurs, and at least some of the nucleic acid molecules appear as bright spots on the image. The method includes preprocessing the image to obtain a preprocessed image; determining a critical value to simplify the preprocessed image to obtain a simplified image, determining a first bright spot detection threshold on the basis of the preprocessed image, and identifying candidate bright spots on the image on the basis of the preprocessed image and the simplified image, including determining a pixel matrix that satisfies at least two of conditions as a candidate bright spot.

Abstract: A method for computing a dominant class of a scene includes: receiving an input image of a scene; generating a segmentation map of the input image, the segmentation map being labeled with a plurality of corresponding classes of a plurality of classes; computing a plurality of area ratios based on the segmentation map, each of the area ratios corresponding to a different class of the plurality of classes of the segmentation map; and outputting a detected dominant class of the scene based on a plurality of ranked labels based on the area ratios.

Abstract: The present application relates to an image processing method and system. The method includes: determining an enhanced image of a target object of an input image based on a segmentation algorithm, where the enhanced image of the target object comprises an image in which each pixel classified as the target object is displayed in an enhanced manner; and determining a positioning image of the target object by applying an integral image algorithm to the enhanced image of the target object.

Abstract: An electronic device is provided. The electronic device includes a first communication circuit, a second communication circuit, a processor configured to be electrically connected with the first communication circuit and the second communication circuit, and a memory configured to be electrically connected with the processor. The memory includes instructions, when executed by the processor, cause the processor to obtain location information of the electronic device, transmit a first message for requesting to change a state of the electronic device to a network, receive a first response message to the transmitted first message from the network, transmit a second message for requesting a parameter for an operation cycle of the second communication circuit to the network, receive a second response message to the second message from the network, and change the operation cycle of the second communication circuit to a value corresponding to a current state of the electronic device.

Abstract: An electronic device according to various embodiments disclosed in this document may include a first communicator supporting V2X communication, a controller, and a memory, wherein the memory stores instructions which, when executed, cause the controller to: receive at least one V2X message through the first communicator; determine whether to capture an image, based on the at least one V2X message; in response to the determination to capture the image, determine a region of interest, based on the at least one V2X message; obtain an image including the determined region of interest, through at least one imaging device electrically connected to the electronic device; identify an object included in the obtained image; match the identified object with the at least one V2X message; and generate an image with which the at least one V2X message matching the identified object is combined. Other various embodiments are possible.

Abstract: An imaging system and method uses grouping and elimination to label images of unknown items. The items may be stacked together with known or unknown items. The items may be packages, such as packages of beverage containers. A machine learning model may be used to infer skus of the packages. The machine learning model is trained on known skus but is not trained on unknown skus. Multiple images of the same unknown sku are grouped using the machine learning model. Elimination based upon lists of expected skus is used to label each group of unknown skus.

Abstract: A method, a system and a device for difference automatic calibration in cross modal target detection are provided. The method includes: obtaining a plurality of modals of color-thermal images to be detected, and constructing an input image set; acquiring a feature map of each modal image in the input image set, and extracting a shared candidate region; aligning the shared candidate region, and obtaining a feature representation of the each shared candidate region through pooling; obtaining a category of the feature representation of the shared candidate region based on a preset classifier, and obtaining a position of the shared candidate region through deviation regression; adopting non-maximum value suppression to obtain a shared candidate region with the highest probability according to the category of the feature representation of the shared candidate region, and returning to the image to be detected for marking according to the position of the shared candidate region.

Abstract: A method comprising obtaining image data representative of pixel intensities associated with an image. Irrespective of a respective magnitude of the pixel intensities, the image data is processed with a logarithmic transformation to transform the pixel intensities to transformed pixel intensities, thereby generating transformed image data representative of the transformed pixel intensities. The logarithmic transformation, L(x), is representable as: L(x)=P logM(f(x))+N where x represents a pixel intensity to be transformed, f(x) represents a function of x and P, M and N represent constants.

Abstract: The disclosure relates to a method and a system for generating an enriched image of a target object and to a corresponding computer program and a computer-readable storage medium, on which the computer program is stored. In the method, image data of the target object is acquired. Furthermore, tactile data is acquired for the target object, which characterizes a mechanical resistance of at least one section of the target object against a force applied thereto. The enriched image is then generated by merging the image data and the tactile data and/or a classification of the respective section derived therefrom.

Abstract: An unmanned mobile observation device, such as an unmanned aerial vehicle, can be used to acquire observation data for a sensitive area. The observation data can include image data and geolocation data corresponding to a real-world geographic location at which the image data was acquired. The geolocation data can be accurate to five centimeters or less. The observation data can be evaluated to identify any defects within the sensitive area. Such evaluation can include comparison with previously acquired image data for the sensitive area, which can be enables by using the geolocation data to select the corresponding previously acquired image data.

Abstract: This disclosure provides a method, and a network node for implementing the method, of initiating a transfer in a cellular telecommunications network, wherein the cellular telecommunications network comprises a User Equipment (UE) and a base station, wherein the UE includes a camera, the method including storing visual data including a visual representation of at least a part of the base station; receiving visual data captured by the camera of the UE; performing a computer vision operation, trained on the stored visual data, on the captured visual data to determine that the visual representation of the base station or part thereof is present in the captured visual data; and, initiating a transfer of the UE to the base station.

Abstract: Systems and methods for video analytic processing with neuro-symbolic artificial intelligence are provided. These systems and methods include detecting and extracting one or more objects from one or more video frames, and identifying the attributes associated with each of the one or more objects. These further include extracting context from a question, and compiling a series of inquiries to identify the information needed to answer the question and identify missing information. These further include storing intermediate information about the extracted objects and identified attributes, and determining whether the question requires further modeling of data to obtain missing information. These further include mining the one or more video frames for missing information, and compiling the intermediate information from the data storage and missing information based on the context of the question to produce a final answer.

Abstract: A method and a driver assistance system recognize the intention of a pedestrian to move on the basis of a sequence of images of a camera. The method includes detecting a pedestrian in at least one camera image. The method also includes selecting a camera image that is current at the time t and selecting a predefined selection pattern of previous camera images of the image sequence. The method further includes extracting the image region in which the pedestrian was detected in the selected camera images of the image sequence. The method also includes classifying the movement profile of the detected pedestrian on the basis of the plurality of extracted image regions. The method outputs the class that describes the movement intention determined from the camera images of the image sequence.

Abstract: An information handling system may include a plurality of sensors comprising a camera sensor for communicating camera data, a user presence and focus state manager configured to receive the camera data and generate an inference of user presence and focus based on the camera data, and a dynamic filtering service. The dynamic filtering service may be configured to receive the inference, determine based on the inference a filtering action, and cause the filtering action to be applied to dynamically-generated information associated with a user of the information handling system and communicated to other information handling systems communicatively coupled to the information handling system.

Abstract: In various examples, systems and methods are disclosed herein for a vehicle command operation system that may use technology across multiple modalities to cause vehicular operations to be performed in response to determining a focal point based on a gaze of an occupant. The system may utilize sensors to receive first data indicative of an eye gaze of an occupant of the vehicle. The system may utilize sensors to receive second data indicative of other data from the occupant. The system may then calculate a gaze vector based on the data indicative of the eye gaze of the occupant. The system may determine a focal point based on the gaze vector. In response to determining the focal point, the system causes an operation to be performed in the vehicle based on the second data.

Abstract: The invention relates to a method for characterizing, from a volume image, a fibrous structure having a three-dimensional weaving between a plurality of warp yarns extending along a first direction and a plurality of weft yarns extending along a second direction perpendicular to the first one, the method comprising: a first processing of the volume image by filtering along a third direction perpendicular to the first and second directions so as to attenuate the periodic patterns along the third direction, obtaining a two-dimensional image corresponding to an intermediate plane along the third direction of the filtered volume image, a second processing of the two-dimensional image by filtering along the first or second direction so as to attenuate the periodic patterns, obtaining a one-dimensional profile representing the positions of warp or weft columns and corresponding to an intermediate line along the first or second direction.

Abstract: A method and apparatus for image processing are provided. A mask is obtained by separating an original image into a background image and a foreground image. A partial stylized image is obtained by transforming the background image or the foreground image according to a selected style. A stylized image is obtained according to the mask and the partial stylized image.

Abstract: A method and system for performing characterization of one or more materials. One or more materials are scanned by means of a sensory system including an X-ray sensor configured to perform multi-energy imaging for obtaining at least a lower-energy X-ray image and a higher-energy X-ray image. Images obtained by means of the sensory system are segmented, and for each segmented object, data indicative of an area density and data indicative of an atom number by analysis of the lower-energy X-ray image and the higher-energy X-ray image, and data indicative of the area density and atom number is determined by means of a calibrated model. Data indicative of a mass is calculated based on the data indicative of the area density and the data indicative of the area of each of the segmented objects.