Abstract: The invention is an image taking method in which images are taken with a microscope in an analyzing space at focal plane positions shifted with an equal step size, and an image is selected from the taken images for further image processing; the images are taken of a sediment of a liquid; the method includes: taking, in a first spatial region of the analyzing space, a first depth image sequence, and selecting from the first depth image sequence the image with the best contrast for further image processing, and taking, in a second spatial region of the analyzing space, a second depth image sequence with fewer images by taking into account the previous step, and selecting from the second depth image sequence the image with the best contrast for further image processing. The invention further includes an image analysis neural network for use with the above method.

Abstract: Techniques for optically detecting a subject chemical species within an atmospheric environment are disclosed. Image data is obtained representing multispectral imagery of a geographic region captured through the atmospheric environment. The image data includes an array of band-specific intensity values for each of a plurality of spectral bands, including a sample spectral band having increased sensitivity to the subject chemical species as compared to a plurality of reference spectral bands. A background reflectance map is generated that includes an array of inter-band intensity values in which each inter-band intensity value represents a filtered combination of band-specific intensity values of albedo-normalized arrays for a grouped subset of the plurality of reference spectral bands. The albedo-normalized array of band-specific intensity values for the sample spectral band is compared to the background reflectance map to obtain an index array of intensity variance values for the subject chemical species.

Abstract: Systems, apparatus, and methods for occupancy tracking using augmented reality are disclosed herein. An example apparatus includes memory; instructions; and processor circuitry to execute the instructions to detect a first face in image data, the image data generated by image sensors in an environment and including at least a portion of the environment, the first face corresponding to a subject in the environment; define a first facial unit in the image data based on facial features associated with the first face; associate a first virtual object with the first facial unit in the image data; and determine an occupancy metric for the at least the portion of the environment based on the first virtual object and one or more other virtual objects associated with facial units defined in the image data.

Abstract: Methods and apparatus for systems using a scene codec are described, where systems are either providers or consumers of multi-way, just-in-time, only-as-needed scene data including subscenes and subscene increments. An example system using a scene codec includes a plenoptic scene database containing one or more digital models of scenes, where representations and organization of representations are distributable across multiple systems such that collectively the multiplicity of systems can represent scenes of almost unlimited detail. The system may further include highly efficient means for the processing of these representation and organizations of representation providing the just-in-time, only-as-needed subscenes and scene increments necessary for ensuring a maximally continuous user experience enabled by a minimal amount of newly provided scene information, where the highly efficient means include a spatial processing unit.

Abstract: A display device for performing image processing by using a neural network including a plurality of layers, may obtain a plurality of pieces of model information respectively corresponding to pixels included in a first image based on object features respectively corresponding to the pixels; identify the plurality of pieces of model information respectively corresponding to the plurality of layers and the pixels input to the neural network based on information about a time point at which each of the pixels is processed in the neural network; update parameters of the plurality of layers, based on the plurality of pieces of model information; and obtain a second image by processing the first image via the plurality of layers to which the updated parameters are applied; and display the second image.

Abstract: A camera system for surgical navigation systems including a plurality of cameras mounted in a room. At least three cameras are mounted in the room which are operated in at least two different modes. In the first mode at least a subset of the cameras is operated to determine the position of markers and in a second mode at least a subset of the cameras is operated to determine the position of surfaces of the room.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to process pixel values sampled from a multi color channel imaging device. In particular, methods and/or techniques to process pixel samples for interpolating pixel values for one or more color channels.

Abstract: Systems and methods are provided for performing operations including: accessing a current structural estimate of a region of interest; generating a first simulated X-ray measurement based on the current structural estimate of the region of interest; receiving a first real X-ray measurement; and generating an update to the current structural estimate of the region of interest as a function of the first simulated X-ray measurement and the first real X-ray measurement, the update being generated invariant on the current structural estimate.

Abstract: A method for determining a probability of developing lung cancer by using an artificial intelligence model, includes: receiving, by an analysis device, a chest fluorodeoxyglucose (FDG) PET/CT image for a sample; inputting, by the analysis device, the F-18 FDG PET/CT image to a first classification neural network, and outputting prediction information related to development of lung cancer for the sample; and predicting, by the analysis device, a probability of developing lung cancer for the sample on the basis of the prediction information. The first classification neural network is trained by using chest F-18 FDG PET/CT images for healthy people and training images excluding lung cancer regions from chest F-18 FDG PET/CT images for lung cancer patients.

Abstract: A system and method for unsupervised training of a text report identification machine learning model, including: labeling a first set of unlabeled text reports using a seed dictionary to identify concepts in the unlabeled text reports; inputting images associated with the first set of seed-labeled text reports into an auto-encoder to obtain an encoded first set of images; calculating a set of first correlation matrices as a dot product of the first encoded images with their associated text report features; determining a distance between the set of first correlation matrices and a filter bank value associated with the auto-encoder; identifying a first set of validated images as the images in the first set of images that have a distance less than a threshold value; and training the text report machine learning model using the labeled text reports associated with the set of first validated images.

Abstract: 3D MRI images of the brain may be created and acquired. After administration of contrast, brain lesions and other abnormalities may be identified and isolated from the 3D MRI images, with each lesion serving as a region of interest (ROI). 3D region of contrast enhancement images may be created from segmented 3D MRI images and different regions of contrast enhancement of the brain lesion may be depicted. Saved regions of contrast enhancement may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D region of contrast enhancement images may be used to create 3D printed models of the isolated region of contrast enhancement. Analysis of the 3D brain region of contrast enhancement images and the 3D printed region of contrast enhancement models may enable a more efficient and accurate way of determining brain lesion risk factors and effective treatment regimens.

Abstract: The systems and methods can include calculating a dwell time or density of workpieces in a vessel; and modulating the one or more conditions of the system based on the dwell time or density of workpieces in the vessel. In an example, the system includes a vessel configured to carry a working fluid and a plurality of workpieces at least partially submerged in the working fluid; a delivery train configured to introduce workpieces into the vessel; a first counting sensor configured to generate an entrance signal based upon a workpiece introduced into the vessel; a transport train configured to transport workpieces introduced into the vessel to an exit of the vessel; a removal train configured to remove workpieces from the vessel through the exit; and a second counting sensor configured to generate an exit signal based upon a workpiece removed from the vessel through the exit.

Abstract: An image forming apparatus includes an image forming portion configured to form an image on a sheet; and an operating portion including a display screen which includes at least numeric keys, a start key configured to cause the image forming portion to start image formation, and a stop key configured to stop the image formation by the image forming portion, and including a hardware key provided on a back side of the display screen and configured to start a maintenance mode of the image forming apparatus.

Abstract: A tiered processing scheme for processing image data is provided. A method can include obtaining image data indicative of one or more court judgment(s) with a number of features. The method can include obtaining judgment information from the image data by applying a number of image processing techniques in accordance with a processing hierarchy tailored to the image data. The image data can be classified by a machine-learning model and the processing hierarchy can be determined based on the classification. The processing hierarchy balances the computing resources used by a respective technique with the accuracy afforded by the technique when applied to image data with a respective classification. A computing system can utilize the processing hierarchy to leverage different image processing techniques in a tiered processing scheme tailored to image data.

Abstract: A non-transitory computer-readable medium storing a support program readable by a computer of an information processing device, the support program corresponding to a printer connected to the information processing device and supporting a general-purpose print program pre-installed in an operating system of the information processing device, the support program, when executed by the computer, causes the computer to perform: based on a print instruction being output from an application program installed in the information processing device and transferred to the general-purpose print program to cause the printer to perform printing, receiving intermediate image data according to the print instruction from the operating system; generating rasterized raster data based on the received intermediate image data; compressing the generated raster data; and transmitting print data based on the compressed raster data to the printer.

Abstract: An exhibition supporting device 110 includes a recognition result information acquisition unit 1112 configured to acquire recognition result information on a display item in accordance with image information on the display item, an exhibition information acquisition unit 1114 configured to acquire exhibition information in accordance with the recognition result information and exhibition-related user information, and a display unit 114 configured to display the exhibition information.

Abstract: Provided is an image processing apparatus that performs image processing on original image data, the apparatus including a communication transceiver that performs communication with a terminal, a memory that stores parameter information indicating a relationship between image processing-related information transmitted from the terminal and an image processing parameter, and a processor, in which the processor acquires the original image data from an image server that communicates with the image processing apparatus via the communication transceiver, performs, the image processing on the original image data using the image processing parameter corresponding to the image processing-related information based on the parameter information, and transmits image data after the image processing to the terminal via the communication transceiver.

Abstract: This application provides a visual feature database construction method, including: obtaining a database creation image; performing feature extraction on the database creation image to obtain a feature point of the database creation image and a descriptor of the feature point of the database creation image; intersecting a ray corresponding to the feature point of the database creation image with a 3D model, to determine the 3D position of the intersection point at which the ray intersects with the 3D model as the 3D position of the feature point of the database creation image; and writing the descriptor of the feature point of the database creation image and the database creation image into a visual feature database, to construct the visual feature database.

Abstract: A printing apparatus management server manages a plurality of printing apparatuses, obtains, in response to a request from a voice device management server, information of a predetermined printing apparatus registered, from the plurality of printing apparatuses, as a printing apparatus to be used in the printing apparatus management server, transmits, to the voice device management server, the obtained information of the predetermined printing apparatus, obtains remaining amount information transmitted from the predetermined printing apparatus, and transmits the obtained remaining amount information to the consumable item management server. Voice notification to a user is performed, via a voice device configured to communicate with the voice device management server, based on the obtained remaining amount information, and processing for placing an order for the consumable item is performed based on a voice instruction from the user accepted by the voice device.

Abstract: A server includes: an interface that acquires a vehicle-mounted camera image from a vehicle traveling toward a target specified by a user; and a control unit that detects the target based on the vehicle-mounted camera image, generates recognition information that makes the target recognizable as an image or visually recognizable based on a detection result of the target, and outputs the recognition information to the vehicle.