Abstract: Aspects of the present disclosure relate generally to a vision system that detects objects moving in an environment. The vision system detects objects that crossed a boundary of an environment during a first period of time, and determines a count of objects that crossed the boundary in a first direction. The vision system retrieves historical egress and ingress data for a second period of time corresponding to the first period of time. The historical egress and ingress data comprises a detected historic count of crossings in the first direction and a corrected historic count of crossings in the first direction. The vision system calculates an error rate for the second period of time based on a ratio of the detected historic count and the corrected historic count, and determines a corrected count for the first period of time by adjusting the count using the error rate.

Abstract: One or more example embodiments of the present invention is based on a computer-implemented method for providing molecular data. The method comprises receiving a computed tomography image of at least a part of a lung of a patient, wherein the computed tomography image depicts at least one lung nodule. The molecular data is determined by processing first input data with a first trained function, wherein the first input data is based on the computed tomography image, and wherein the molecular data relates to a biomarker within at least one of a genome of the patient, a transcriptome of the patient, a proteome of the patient or a metabolome of the patient. Furthermore, the molecular data is provided. Providing the molecular data can comprise at least one of displaying, transmitting or storing the molecular data.

Abstract: Super-resolution label-free microscopy is provided using multiplexed, temporally modulated acquisition patterns of emission point spread functions (“PSFs”). Supercontinuum ultrafast pulses can be used to enhance nonlinear processes, such as autofluorescence and harmonic generation, in order to provide super-resolution imaging of nonlinear label-free signals. Images can be reconstructed using various reconstruction techniques, including pixel reassignment, wavelet reconstruction, and deep learning model-based reconstructions.

Abstract: There is provided an examination support device that is used by being connected to an endoscope system including a camera unit for being inserted into an inside of a body of a subject, the examination support device including an acquisition unit for sequentially acquiring an image signal that the endoscope system provides to an external device; a detection unit for detecting a difference between successive frame images in relation to frame images that are sequentially generated from the image signals; and an establishing unit for establishing an image region indicating a captured image that is captured by the camera unit, based on a region of change where an amount of difference of the difference detected by the detection unit is equal to or greater than a reference amount.

Abstract: An information processing system includes an information terminal configured to acquire medical image data from a medical image capturing apparatus, a plurality of information processing apparatuses each including an inference unit configured to make an inference about the medical image data by using a learned model, and a selection unit configured to select at least one information processing apparatus from the plurality of information processing apparatuses. The information terminal transmits the medical image data to the information processing apparatus selected by the selection unit, and the information processing apparatus selected by the selection unit makes an inference about the transmitted medical image data and transmits an inference result to the information terminal.

Abstract: A method of managing teeth performed in a processor-based device includes: displaying a first oral measurement image including tooth measurement images in a tooth shape to measure state information of each of user's teeth; receiving state information of a target teeth of the user measured from a tooth diagnostic device; receiving a selection signal input for selecting a first tooth measurement image from among the tooth measurement images; matching state information of the target tooth with state information of the first tooth measurement image; and representing the state information of the first tooth measurement image in the first oral measurement image.

Abstract: Disclosed is a method for examining cells including: acquiring image data of cells acquired from a region suspected to be a cancer lesion; analyzing the image data; determining whether an amount of the cells is sufficient based on the analyzed result; and determining whether cancer-probable cells are included in the cells based on the analyzed result and the determined result; wherein the cells are acquired through Fine Needle Aspiration (FNA).

Abstract: Proposed is a method of generating learning data for traffic facilities, which can facilitate recognition of traffic facilities. The method includes the steps of: collecting, by a learning data generation unit, traffic facility sample images; generating, by the learning data generation unit, at least one processed image by processing the collected traffic facility sample images to be recognized as images captured by a camera installed in a vehicle; and generating, by the learning data generation unit, learning data by inserting a background into the generated at least one processed image.

Abstract: An image processing method is provided, including the following operations: generating, according to a refined edge map of a first frame in the video sequence, an edge sum image including row scores corresponding to rows in the refined edge map; generating first and second intensity difference images that indicate row differences in image data between adjacent rows of the rows; identifying, according to the edge sum image and the first to second intensity difference images, indices of a first text region and a first banner region that are in the first frame; determining whether the indices of the first text region and the first banner region in the first frame meet a stable condition; and performing image processing operation to the first text region when the indices of the first text region and the first banner region in the first frame meet the stable condition.

Abstract: In an approach for automatically detecting whether an output of a detection and segmentation algorithm is of an acceptable quality, a processor receives an image. A processor applies a detection stage of a detection and segmentation algorithm to the image. A processor computes a set of features from a detection score map output by the detection stage of the detection and segmentation algorithm by analyzing the detection score map at more than one different operating points. A processor inputs the set of features into a classifier that predicts whether a final output of the detection and segmentation algorithm will be of an acceptable quality, wherein the acceptable quality is defined based on whether a detection precision threshold has been reached. A processor receives an output of the classifier.

Abstract: A system for generating foveated imagery is configurable to: (i) access an image; (ii) identify an ROI of the image; (iii) generate a downsampled image by performing downsampling on the image; (iv) generate a transformed downsampled image by performing one or more image processing operations on the downsampled image; (v) generate a transformed image by performing upsampling on the transformed downsampled image; and (vi) generate a foveated image by using the ROI of the image to define a corresponding ROI of the transformed image.

Abstract: A system and method and related computer program for customizing photo framing or for otherwise providing options to customize framing of photographs and/or images. The system comprises a data network, a device(s), a user interface and a server. The method comprises allowing a user access to the interface to select a photo size, a photo arrangement, a matte option and upload an image according to such selections. The user may make adjustments to the image such as cropping or editing. The method further comprises checking for minimum requirements as to the image quality and orientation. After successfully uploading the image the user may select a frame type and a matte color. Thereafter, the user may place an order for the customized framing arrangement.

Abstract: A computer-implemented method for providing an edited medical image, comprises: receiving a medical image depicting an examination region of a patient; receiving patient information for the patient; determining an anatomical region based on the medical image and the patient information, wherein the examination region includes the anatomical region; selecting a tool based on the anatomical region, wherein the tool is configured to edit the medical image; applying the selected tool to the medical image to obtain the edited medical image; and providing the edited medical image.

Abstract: A method for training an artificial neural generator network for the generating of synthetic landmark images is provided, in which landmark images are extracted from at least one training map as training data, which form a first training data set, and the generator network as a generator of a generative adversarial network learns with the aid of the first training data set and with the aid of real, non-annotated image data, recorded by a sensor device, to generate synthetic landmark images which are suited to reproducing the probability distribution underlying the first training data set. The invention also relates to a method for training an artificial neural localization network by the trained generator network and a method for determining a position of a mobile unit with at least one sensor device and at least one environment map by the trained localization network.

Abstract: Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, a support apparatus is provided for a charged particle microscope. The support apparatus is configured to apply automated image processing to an image representing a lamella sample to segment the image into a plurality of segmented classes. The support apparatus is also configured to identify, based on the plurality of segmented classes, a subset of candidate structures-of-interest in the lamella sample and to select, from the subset of candidate structures-of-interest in the lamella sample, a selected structure-of-interest for milling. The support apparatus is also configured to set, based on the selected structure-of-interest for milling, at least one milling parameter for the scientific instrument. An automated method performed via a computing device for providing such scientific instrument support is also provided.

Abstract: Implementations described herein relate to image texture manipulation for machine learning data augmentation. In some implementations, a computer vision platform may transform first data of a first image file to a first frequency domain representation of the first image file. The computer vision platform may identify, based on the first frequency domain representation, a first subset of frequencies for the first image file. The computer vision platform may transform second data of a second image file to a second frequency domain representation of the second image file. The computer vision platform may identify, based on the second frequency domain representation, a second subset of frequencies for the second image file. The computer vision platform may generate a third image file based on the first subset of frequencies and the second subset of frequencies. The computer vision platform may store the third image file in a set of image files.

Abstract: The present invention provides an inspection system comprising a printing apparatus and an inspection apparatus that inspects a printed matter printed by the printing apparatus. The inspection apparatus obtains a scanned image by reading an image formed on the printed matter, diagnose the printing apparatus based on the scanned image, and in a case in which the printing apparatus is diagnosed as having a defect by the diagnosis, the inspection apparatus presents a countermeasure to be executed in the printing apparatus to resolve the defect. Then, in response to the execution of the countermeasure in the printing apparatus, the inspection apparatus allows an instruction to re-diagnose the printing apparatus to be accepted.

Abstract: Real-time preview of hyperspectral data during data acquisition is provided, in which the hyperspectral data represents chemical and/or physical properties of a sample and is represented by a set of channel images. For each channel image of the set, an edge score is determined using a plurality of edge kernels, a noise score is determined using a noise kernel, and a contrast score is determined for the channel image based on the ratio of the determined edge score to the respective determined noise score. Channel images are selected in descending order of associated contrast scores, as a plurality of high contrast candidate images. One or more augmented candidate images are generated by applying one or more augmentation methods, and a contrast score is determined for each augmented candidate image. The candidate image with the highest contrast score is provided as preview image during data acquisition.

Abstract: A computer-implemented method plans a position of a tracking reference device for referencing a position in a medical environment. The method includes a determination of avoidance regions in which a tracking reference device should not be placed so as to safeguard proper tracking of the tracking reference device and/or an instrument tracking reference device which is attached to a medical instrument. The avoidance region is a region lying, from the point of view of a tracking device for tracking the tracking reference device, in the shadow of an envelope surrounding at least one medical instrument. Additionally or alternatively, an avoidance region may lie in between the position of the tracking device and the envelope to avoid a shadowing, by the tracking reference device, of an instrument tracking reference device attached to the medical instrument.

Abstract: An ultrasound diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry derives a predefined image evaluation parameter with respect to a plurality of two-dimensional ultrasound images obtained by an ultrasound probe. Based on the derivation results of the image evaluation parameter, the processing circuitry selects a two-dimensional ultrasound image for registration purpose from among the plurality of two-dimensional ultrasound images. The processing circuitry performs image registration of a three-dimensional medical image and the two-dimensional medical image for registration purpose.