Abstract: A method for cargo counting, a computer equipment, and a storage medium are provided in the disclosure. The method includes the following. Three-dimensional (3D) point cloud data of a set of cargoes within a preset placement region is obtained based on a cargo-counting instruction. Whether the set of cargoes are in a first placement state is determined according to the 3D point cloud data. Based on a determination that the set of cargoes are in the first placement state, a quantity of the set of cargoes is calculated.

Abstract: Systems and methods relate to processing digital-pathology images. More specifically, aspects of the present disclosure are directed to accessing a whole-slide image depicting a slice of specimen, defining a set of tiles within at least part of the whole-slide image, generating one or more artifact prediction metrics by applying artifact detection to each tile of the set of tiles, wherein each of the one or more artifact prediction metrics corresponds to a predicted level of image quality of part or all of the whole-slide image, generating a quality heat map image corresponding to the whole-slide image, wherein the quality heat map image is based on the one or more artifact prediction metrics, and outputting the quality heat map image.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for image segmentation. The method may be executed by a trained image segmentation model. The method includes: obtaining a to-be-processed image, wherein the to-be-processed image includes objects of a plurality of categories. The method further includes: selecting a to-be-discarded category in the to-be-processed image according to a recall rate of each of the plurality of categories obtained in advance. The method further includes: processing the to-be-processed image based on a plurality of remaining categories in the plurality of categories other than the to-be-discarded category to obtain a segmented image. Through the method, computing resources required for a segmentation processing task can be greatly reduced, a processing amount of image data can be reduced, and an image processing speed can be increased.

Abstract: A method of operating an image processing apparatus is provided. The method includes generating a first feature map by performing a convolution operation between a first image and a first kernel group, generating a second feature map by performing a convolution operation between the first image and a second kernel group, generating a first combination map based on the first feature map, generating a second combination map based on the first feature map and the second feature map, generating a second image based on the first combination map and the second combination map, and generating a reconstructed image of the first image, based on the second image and the first image, and generating a high-resolution image of the first image by inputting the reconstructed image to an upscaling model.

Abstract: A method includes receiving image data including a series of image patches of an image. The method includes generating, using a first set of transformers of a vision transformer (V-T) model, a first set of higher order feature representations based on the series of image patches and aggregating the first set of higher order feature representations into a second set of higher order feature representations that is smaller than the first set. The method includes generating, using a second set of transformers of the V-T model, a third set of higher order feature representations based on the second set of higher order feature representations and aggregating the third set of higher order feature representations into a fourth set of higher order feature representations that is smaller than the third set. The method includes generating, using the V-T model, an image classification of the image based on the fourth set.

Abstract: A method of displaying a digital object on a device is disclosed. A set of unique identifiers and associated is downloaded for a set of digital objects within a 3D model. A position and an orientation of a virtual camera is determined relative to the positions of the set of digital objects. A visibility score for each digital object of the set of digital objects is computed based on a position of the digital object relative to the position and the orientation of the virtual camera. A polygon mesh associated with a digital object with a highest visibility score is downloaded based on the polygon mesh being absent. The downloading uses a unique identifier of the set of unique identifiers associated with the polygon mesh. The polygon mesh of the digital object with the highest score is rendered and displayed on a display device.

Abstract: An information acquisition unit acquires a learning image including a disease region and a first teacher label that specifies the disease region included in the learning image. A teacher label generation unit generates at least one second teacher label of which a criterion for specifying the disease region is different from the first teacher label. A learning unit trains a discriminator that detects a disease region included in a target image on the basis of the learning image, the first teacher label, and the at least one second teacher label.

Abstract: An imaging method is described for generating image data of an examination region of an object that is to be examined. First X-ray projection measurement data of the examination region is acquired using a first X-ray energy spectrum and at least second X-ray projection measurement data of the examination region is acquired using a second X-ray energy spectrum which is different from the first X-ray energy spectrum. A priori image data is reconstructed based on at least the first X-ray projection measurement data and a location-dependent distribution of X-ray attenuation values. A basis material decomposition is performed based on the first X-ray projection measurement data and the at least second X-ray projection measurement data. A location-dependent weighting of the basis materials is determined as a function of the location-dependent distribution of the X-ray attenuation values. An image for the examination region is determined by reconstructing virtual basis-material-weighted image data.

Abstract: An image processing apparatus acquires a first low-energy image and a first high-energy image captured in a state in which a grid for removing scattered rays is inserted between a radiation source and a radiation detector, and the radiation source is disposed at a first position at which an incidence direction of radiation is a normal direction with respect to the grid, acquires a second low-energy image and a second high-energy image captured in a state in which the grid retreats from between the radiation source and the radiation detector, and the radiation source is disposed at a second position, estimates a thickness of the subject from the first low-energy image and the first high-energy image, and generates a difference image indicating a difference between the second high-energy image and the second low-energy image from the second low-energy image and the second high-energy image based on the thickness.

Abstract: Described are platforms, systems, and methods for screening patients. In one aspect, a computer-implemented method comprises: receiving, from a cellular imaging device, image data comprising calcium kinetic features of neuronal cultures derived from a patient; processing the image data through a machine-learning model to determine a diagnosis for the patient based on the calcium kinetic features, the machine-learning model trained using neuronal calcium data; and providing the diagnosis a user interface.

Abstract: An individual identification system includes an acquiring means and a determining means. The acquiring means is configured to acquire a matched image obtained by shooting part of a predetermined region of a matching target object. The determining means is configured to calculate a score representing a degree to which a partial image similar to the matched image exists in a registration image obtained by shooting a predetermined region of a registration target object, and determine based on the score whether or not the matching target object is identical to the registration target object.

Abstract: A fundus color photo image grading method and apparatus, a computer device, and a storage medium are provided. The method comprises: obtaining an original image, enhancing the original image, and obtaining a target image (S100); performing color processing on the original image and the target image, and respectively obtaining a first processed image and a second processed image (S200); using a pre-trained grading model to perform processing on the first processed image and the second processed image, and obtaining a target grading result (S300). Multi-color space first and second processed images act as model inputs, and prediction is performed by means of fused features on a whole image scale to implement the classification and grading of common fundus color photo diseases, so as to automatically screen fundus color photos with pathological changes, achieve a pre-screening effect, and improve operational efficiency.

Abstract: A drive assist device includes: a marking recognition unit configured to recognize a road marking on a driving lane and a road marking on a first adjacent lane from an image of a pavement captured from a vehicle and specify a permitted travel direction of the driving lane and a permitted travel direction of the first adjacent lane; a detection unit configured to detect a lane change performed by the vehicle; and an information management unit configured to cause a storage unit to store first information indicating the permitted travel direction of the driving lane and second information indicating the permitted travel direction of the first adjacent lane specified by the marking recognition unit, and in a case in which the detection unit detects the lane change to the first adjacent lane, update the information stored in the storage unit to change the second information as the permitted travel direction of the driving lane and the first information as the permitted travel direction of a second adjacent lane.

Abstract: The invention relates to a parking spot detection method and system.

Abstract: A method for assuring that integrated circuits are free of malicious circuit insertions and/or IC design modifications through mask swapping/addition is provided. The method includes a step of comparing 3D tomographic images constructed from design GDS to the 3D tomographic images constructed from in-line fab metrology data.

Abstract: Systems and methods to estimated mean randoms include acquisition of list mode data describing true coincidences and delay coincidences detected by a positron emission tomography scanner during a scan of an object, determination, for each crystal of the positron emission tomography scanner and for each of a plurality of time periods of the scan, of delay coincidences including the crystal based on the list mode data, determination, each crystal, of determine a singles rate associated with each time period based on the delay coincidences determined for the crystal over the time period, determination, for each time period, of determine estimated mean randoms for each of a plurality of pairs of the crystals based on the singles rate associated with the time period for each crystal of the crystal pair, and reconstruction of an image of the object based on the estimated mean randoms for each time period and the detected true coincidences.

Abstract: A maneuvering assistant system for a vehicle combination comprising an interface configured to receive measurements from a camera, processing circuitry implementing a Kalman filter configured to observe an articulation angle of the vehicle combination on the basis of the measurements from the camera, a signal analyzer configured to repeatedly estimate a signal noise of the camera measurement and to adjust the Kalman filter on the basis of statistics derived from the estimated signal noise, and an assistance unit configured to receive an estimate of the articulation angle from the Kalman filter and provide drive actions based on the estimate.

Abstract: A model creation apparatus being configured to: hold at least one image of the registration target object in one or more postures and a reference model indicating a shape of a reference object; acquire information indicating a feature of the registration target object in a first posture; and correct, when a shape in the first posture that is indicated by the reference model is determined to be dissimilar based on a predetermined first condition, the reference model based on the information indicating the feature to thereby create the model indicating the shape of the registration target object.

Abstract: An imaging system of the present disclosure includes: an event detection device that detects an event; and a controller that controls the event detection device. The controller then controls the detection sensitivity of event detection being performed by the event detection device, on the basis of external information. Further, an object recognition system of the present disclosure includes: an event detection device that detects an event; a controller that controls the detection sensitivity of event detection being performed by the event detection device, on the basis of external information; and a recognition processing unit that performs object recognition in an event, on the basis of an event signal output from the event detection device.

Abstract: A method for segmenting a power line image in real time based on self-supervised learning includes: inputting an input power line sample image and power line sample image mask set for the same batch of images into a region growing algorithm to obtain a single power line sub-image and single power line mask set; randomly extracting at least one single power line image pair for combination, and combining the single power line image pair with a random background picture to generate a power line random background fusion image and power line random background mask set; and carrying out random non-repetitive region growing to obtain image inpainting regions, forming a segmentation mask with the image inpainting regions, obtaining power line segmentation images through an image inpainting algorithm, inputting the power line segmentation images into a power line real-time segmentation network for training, and carrying out predicted segmentation.