Abstract: An apparatus for evaluating validity of detection of a cancer region may be provided.

Abstract: A navigational control method for a mobile automation apparatus includes: controlling a depth sensor to capture depth data representing a portion of a facility containing an obstacle; identifying the obstacle from the depth data; determining a probability that the obstacle is static; based on the probability, assigning the obstacle one of a dynamic class, a static class, and at least one intermediate class; updating a map to include a position of the obstacle, and the assigned class; and selecting, based on the assigned class, a navigational control action from a first action type associated with the dynamic class and the intermediate class, and a second action type associated with the static class.

Abstract: This application relates to a method of inspection and an inspection system for the film deposition process for substrates that includes glass and wafer. The inspection system includes multiple camera modules positioned in a load lock unit of a process chamber, such as the camera modules that can capture images of the substrate in the load lock. The images are analyzed by a control unit of the inspection system to determine the accuracy of robots in handling the substrate, calibration of the robots based on the analysis, and defects in the substrate caused during the handling and deposition process.

Abstract: A detection system (10) includes: an acquisition unit (110) configured to acquire an image including a living body; and a detection unit (120) configured to detect, from the image, a feature figure corresponding to an appropriately circular first part on the living body, and feature points corresponding to a second part around the first part on the living body. According to such a detection system, the first part and the second part with different features in shape can be individually detected appropriately.

Abstract: Systems and method are claimed for forming an artifact attenuated seismic image. The method includes obtaining an input seismic image, selecting a seismic partition from the input seismic image and determining a seismic dip for the seismic partition. The method further includes determining flattened seismic partition from the seismic partition based, at least in part, on the seismic dip, determining a filtered seismic partition from the flattened seismic partition, and determining an unflattened seismic segment based on the filtered seismic partition. The method still further includes determining the artifact attenuated seismic image based on the unflattened seismic segment. The system includes a seismic source, a plurality of seismic receivers for detecting and recording an observed seismic dataset generated by the radiated seismic wave; and a seismic processor configured form the artifact attenuated seismic image.

Abstract: Systems and methods for real-time target validation during radiation treatment therapy based on real-time target displacement and radiation dosimetry measurements.

Abstract: The present invention includes a system and method for obtaining high-resolution images of objects such as electrical components. The system includes a monochrome camera and three light sources of different wavelengths (e.g. a red light source, a blue light source and a green light source). The camera successively captures a red light image, a blue light image and a green light image of the object. A processor combines the red light image, the blue light image and the green light image into a single high-resolution true color image. Because each image is obtained from an independent light source, the resolution is not limited by the Bayer (RGB) color model. The system is well suited for materials composed of different materials that may react differently to light sources based on its wavelength.

Abstract: A face detection method for a computer device includes: obtaining a to-be-detected image; obtaining an initial shape of a current regression tree in a pre-constructed probability regression model; extracting image features from the to-be-detected image and respectively calculating a probability of each of leaf nodes of the current regression tree according to the image features; extracting an error of each of the leaf nodes; determining a shape error of the current regression tree according to the probability and the error of each of the leaf nodes; calculating an estimated shape of the current regression tree according to the initial shape and the shape error; and performing iterative calculation by using the estimated shape as an initial shape of a neighboring next regression tree until a last regression tree in the probability regression model, to obtain an estimated shape of the last regression tree as a detected face shape.

Abstract: The invention features a prospective respiratory motion compensation technique for cardiovascular magnetic resonance imaging of the whole-heart of a free-breathing subject.

Abstract: A system for capturing images for training an item identification model obtains an identifier of an item. The system detects a triggering event at a platform, where the triggering event corresponds to a user placing the item on a platform. The system causes the platform to rotate. The system causes at least one camera to capture an image of the item while the platform is rotating. The system extracts a set of features associated with the item from the image. The system associates the item to the identifier and the set of features. The system adds a new entry to a training dataset of the item identification model, where the new entry represents the item labeled with the identifier and the set of features.

Abstract: The present disclosure relates to an information processing apparatus and method that are capable of suppressing a decrease in encoding efficiency. When point cloud data is to be Octree-encoded, a point distribution of child nodes of a current node is updated in accordance with a peripheral point distribution around the current node, and then a sequence of signals is generated by performing Octree encoding with the updated point distribution. The present disclosure is applicable, for example, to information processing apparatuses, image processing apparatuses, electronic equipment, information processing methods, or programs.

Abstract: Disclosed is a fluorescence image analyzer for analyzing a fluorescence image of a cell contained in a sample. The fluorescence image analyzer includes a light source configured to apply light to the sample; an imaging unit configured to capture a fluorescence image of the cell by which fluorescence is generated by applying the light; and a processing unit configured to process the captured fluorescence image. The processing unit is programmed to obtain a bright point pattern of fluorescence in the captured fluorescence image; select at least one bright point pattern, from among a plurality of bright point patterns that include one or more positive patterns and are associated with at least one of a measurement item or a labeling reagent; and determine what positive pattern, among the selected at least one bright point pattern, corresponds to the obtained bright point pattern, based on the obtained bright point pattern and the selected at least one bright point pattern.

Abstract: An analysis operator checks an optical microscopic image obtained with an imaging mass microscope and indicates a color characteristic of an area which the analysis operator is focusing on. An optical microscopic image feature extractor calculates luminance distribution data in the indicated color. An image position adjustment processor performs a position adjustment process on a luminance distribution image derived from the optical microscopic image and an MS imaging graphic, while a resolution adjuster equalizes their spatial resolutions. A statistical analysis processor calculates a coefficient of spatial correlation between the luminance distribution image and the MS imaging graphic for each mass-to-charge ratio. Based on the calculated correlation coefficients, an analysis result display processor extracts a mass-to-charge ratio which shows an ion intensity distribution similar to the luminance distribution image. and displays it on a display unit.

Abstract: Systems and methods upscale an input image by a final upscaling factor. The systems and methods employ a first module implementing a super resolution neural network with feature extraction layers and multiple sets of upscaling layers sharing the feature extraction layers. The multiple sets of upscaling layers upscale the input image according to different respective upscaling factors to produce respective first module outputs. The systems and methods select the first module output with the respective upscaling factor closest to the final upscaling factor. If the respective upscaling factor for the selected first module output is equal to the final upscaling factor, the systems and methods output the selected first module output. Otherwise, the systems and methods provide the selected first module output to a second module that upscales the selected first module output to produce a second module output corresponding to the input image upscaled by the final upscaling factor.

Abstract: A method for capturing and measuring translation and/or rotation of a component moving relative to a reference system includes providing a marker on the component and providing a measurement system having a camera arranged in the reference system. The marker has at least three points which do not lie on a straight line on an upper side of the marker and the camera has an evaluation unit and memory that stores a geometry of the upper side including the at least three points. The camera is aligned with the at least three points and a first image of the marker located in a first portion is captured and stored and a second image of the marker in a second position that is different than the first position is stored. Also, translation and/or rotation of the component in three-dimensional space between the first position and the second position is calculated.

Abstract: The medical image recognition method includes the following steps: transmitting an accession number to a recognition module through a prediction unit; receiving an accession number and a human body image by a recognition model, and importing the human body image into a set of neural network models respectively; wherein each of the neural network models outputs at least one recognition result; the recognition module returns the recognition results to the prediction unit, and then the recognition results are stored in database.

Abstract: In a method for generating a surrogate marker based on medical image data mapping an image region, the medical image data is detected using a first interface, a first subregion of the image region is selected by segmenting a first structure included in the image region, a first property of the first subregion is extracted, the surrogate marker is determined based on the first property, and the surrogate marker is provided using a second interface.

Abstract: Described here are systems and methods for super-resolution imaging with ultrasound in which a Kalman filter-based microvessel inpainting technique is used to facilitate robust super-resolution imaging with limited or otherwise missing microbubble signals. The systems and methods described in the present disclosure can be combined with both local and global microbubble tracking methods.

Abstract: A digital imaging method of analyzing pixel data of an image of a user's body for determining a user-specific hair removal efficiency value after removing hair is disclosed. The digital imaging method includes: aggregating training images of respective individuals' bodies after removing hair; training, using the pixel data of the training images, a hair removal efficiency model to determine hair removal efficiency values associated with a degree of hair removal efficiencies ranging from a least efficient to a most efficient; receiving an image of a user's body after removing hair; analyzing by the user image using the hair removal efficiency model to determine a user-specific hair removal efficiency value; generating a user-specific electronic recommendation designed to address a feature identifiable within the pixel data of the user's body based on the user-specific hair removal efficiency value; and rendering the recommendation on a display screen of a user computing device.

Abstract: An image binarization method and an electronic device using the same are provided. The method includes capturing an image by an image capturing device; selecting a target pixel row arranged at the front from one or more unselected first pixel rows among M pixel rows of the image according to a row order by a binarization circuit; performing, by the binarization circuit, a binarization operation on the target pixel row to obtain a binarized pixel row; storing the binarized pixel row to a main memory by the binarization circuit; performing, by the binarization circuit, the binarization operation to the remaining one or more first pixel rows until M binarized pixel rows are obtained, so as to complete the binarization operation.