Abstract: A method includes obtaining an electrical signal that includes a set of at least two sensed physiologic measurements of a patient, comparing the at least two physiologic measurements with a predetermined physiologic measurement range, identifying data required to determine a probability and a severity of a condition of interest of the patient, in response to determining the at least two physiologic measurements do not satisfy the physiologic measurement range, receiving the identified data in electronic format, determining a first probability and a first severity of the condition of interest based on the received identified data, determining a recommended course of action for the patient based on the first probability and the first severity, resources of a healthcare facility, and an event guideline; and causing a display to visually present the first probability and first severity and the recommended course of action.

Abstract: An object recognition apparatus and method thereof are disclosed. An exemplary apparatus may determine an image feature vector of a first image by applying a convolution network to the first image. The convolution network may extract features from image learning sets that include the first image and a sample segmentation map of the first image. The exemplary apparatus may determine a segmentation map of the first image by applying a deconvolution network to the determined image feature vector. The exemplary apparatus may determine a weight of the convolution network and a weight of the deconvolution network based on the sample segmentation map and the first segmentation map. The exemplary apparatus may determine a second segmentation map of a second image through the convolution network using the determined weight of the convolution network and through the deconvolution network using the determined weight of the deconvolution network.

Abstract: An image recognition method includes: receiving an image; acquiring processing result information including values of processing results of convolution processing at positions of a plurality of pixels that constitute the image by performing the convolution processing on the image by using different convolution filters; determining 1 feature for each of the positions of the plurality of pixels on the basis of the values of the processing results of the convolution processing at the positions of the plurality of pixels included in the processing result information and outputting the determined feature for each of the positions of the plurality of pixels; performing recognition processing on the basis of the determined feature for each of the positions of the plurality of pixels; and outputting recognition processing result information obtained by performing the recognition processing.

Abstract: A method of operating a tomographic imaging system whereby a plurality of radiographic images of an object are captured at a first orientation of the system's source and detector. After the radiographic images are captured and stored, geometric calibration data for the system is measured, corresponding to the first orientation of the system. A three dimensional image of the object is reconstructed using the measured geometric calibration data corresponding to the first orientation.

Abstract: In order to reduce the amount of time it takes to collect images of defects, this defect inspection device is provided with the following: a read-out unit that reads out positions of defects in a semiconductor wafer that have already been detected; a first imaging unit that takes, at a first magnification, a reference image of a chip other than the chip where one of the read-out defects is; a second imaging unit that takes, at the first magnification, a first defect image that contains the read-out defect; a defect-position identification unit that identifies the position of the defect in the first defect image taken by the second imaging unit by comparing said first defect image with the reference image taken by the first imaging unit; a third imaging unit that, on the basis of the identified defect position, takes a second defect image at a second magnification that is higher than the first magnification; a rearrangement unit that rearranges the read-out defects in an order corresponding to a path that goes

Abstract: According to one embodiment, an image interpretation report creating apparatus that creates an image interpretation report including a finding and is associated with a key image, includes a key image selecting unit, a position detecting unit, a first local structure information generating unit, and a display. A key image selecting unit selects a sub-image as the key image from among a plurality of sub-images comprising a medical image. A position detecting unit detects a position of a characteristic local structure in a human body from the medical image. A first local structure information generating unit identifies a local structure in the key image or in a vicinity of the key image and generates information on the identified local structure as first local structure information. A display displays the first local structure information as a candidate to be entered in an entry field for the finding.

Abstract: An automated system and method to authenticate one or more users based on capturing one or more images of a set of teeth, obtaining a selected image from the one or more captured images and extracting a portion of the selected image to obtain an extracted image. Each extracted image is converted into a grayscale image and stored in a database along with the username and the user keyword of the one or more users. A unique signature matrix and a pattern vector is generated by processing the grayscale image and stored in the database along with the username. One or more images comprising a set of teeth of at least one user is captured and a unique signature matrix obtained from the same is compared with a set of unique signature matrices previously stored in the database and at least one action is triggered based on the comparison.

Abstract: A machine learning method operates on training instances from a plurality of domains including one or more source domains and a target domain. Each training instance is represented by values for a set of features. Domain adaptation is performed using stacked marginalized denoising autoencoding (mSDA) operating on the training instances to generate a stack of domain adaptation transform layers. Each iteration of the domain adaptation includes corrupting the training instances in accord with feature corruption probabilities that are non-uniform over at least one of the set of features and the domains. A classifier is learned on the training instances transformed using the stack of domain adaptation transform layers. Thereafter, a label prediction is generated for an input instance from the target domain represented by values for the set of features by applying the classifier to the input instance transformed using the stack of domain adaptation transform domains.

Abstract: The purpose of the present invention is to provide a state estimation apparatus that appropriately estimates the internal state of an observation target by determining likelihoods from a plurality of observations. An observation obtaining unit of the state estimation system obtains, at given time intervals, a plurality of observation data obtained from an observable event. The observation selecting unit selects a piece of observation data from the plurality of pieces of observation data obtained by the observation obtaining unit based on a posterior probability distribution data obtained at a preceding time t?1. The likelihood obtaining unit obtains likelihood data based on the observation data selected by the observation selecting unit and predicted probability distribution data obtained through prediction processing using the posterior probability distribution data.

Abstract: Methods, systems, and computer program products are provided for the recognition of input of multiple objects into a computing device, wherein the computing device has a processor and at least one application for recognizing the input under control of the processor. The application is configured to determine at least one geometrical feature of a plurality of elements of the input, and compare the determined at least one geometrical feature with at least one pre-determined geometrical threshold to determine a positive or negative result. If the comparison yields a negative result, the application considers the elements as belonging to one object in the recognition of the input. If the comparison yields a positive result, the application considers the elements as belonging to multiple objects in the recognition of the input.

Abstract: A computer determines a type of change in a state of a bed on the basis of a correspondence relationship between a boundary that indicates a first bed area in a first image and a line segment represented by an edge detected from a second image. The second image is an image that is captured after the first image is captured, and the change in the state of the bed is a state change that occurs during a time period from the capturing of the first image to the capturing of the second image.

Abstract: A method for detecting a target object in a blind area of a vehicle is provided by embodiments of the application. The method includes: acquiring at least one frame of an image generated by shooting a blind area of a vehicle by a shooting device; extracting an image feature of an area where at least one predetermined detection gate is located in the image; and matching the image feature of the area where the predetermined detection gate is located with a matching template of the predetermined detection gate to determine a target object. An apparatus for detecting a target object in a blind area of a vehicle is further provided by embodiments of the application.

Abstract: A method for displaying one or more images in an electronic device is provided, which includes displaying a first image; retrieving at least one second image on the basis of additional information of the first image; comparing at least one first feature point of the first image with at least one second feature point of the at least one second image; displaying information on whether at least one recommended image with respect to the first image exists, based on a result of the comparison; and if the at least one recommended image exists, displaying the at least one recommended image according to a user input.

Abstract: The invention relates to a method for detecting defects in the walls of hollow glass items that rotate about their longitudinal axis during inspection, which method, in one form, is characterized by the production of an image series (4) that is binarised using a grey-scale value threshold image (5), wherein the threshold values of the threshold image (5) are measured differently according to the fixed positions of radiation-receiving elements used to display images. The images of the image series (10) formed by binarising the original image series (4) are combined in a histogram (6) that locally adds up the frequency of an occurrence of, inter alia, defect pixels representing static reflections within the sensor regions of the image series (10).

Abstract: In one aspect, assembly of multi-part food packaging is checked by reference to payloads of steganographically-encoded digital watermarks printed across plural components of the packaging. Marking all surfaces of the packaging components allows arbitrary orientation of feed stock in assembly equipment, and wide latitude in placement of inspection cameras along the packaging line. In another aspect, a scanner at a retail checkout station is alert to any gap detected in steganographic encoding on retail product packaging and, if found, alerts an operator to possible presence of an adhesive label with a misleading barcode. A great variety of others features and arrangements are also detailed.

Abstract: A three-dimensional coordinate computing apparatus includes an image selecting unit and a coordinate computing unit. The image selecting unit selects a first selected image from multiple captured images, and selects a second selected image from multiple subsequent images captured by the camera after the first selected image has been captured. The second selected image is selected based on a distance between a position of capture of the first selected image and a position of capture of each of the multiple subsequent images and the number of corresponding feature points, each of which corresponds to one of feature points extracted from the first selected image and one of feature points extracted from each of the multiple subsequent images. The coordinate computing unit computes three-dimensional coordinates of the multiple corresponding feature points based on two-dimensional coordinates of each corresponding feature point in the first and second selected images.

Abstract: A lesion detecting method and a lesion detecting apparatus for breast image in a rotating manner are provided. In the method, a set of breast image in the rotating manner is obtained. The set of breast image in the rotating manner contains sub breast images. The sub breast image is reconstructed, to generate a reconstructed breast image. The reconstructed breast image is compared with the set of breast image in the rotating manner without being reconstructed. Accordingly, at least one lesion position would be confirmed according to the comparing result. Therefore, viewing a three-dimensional breast image would be convenient for medical staff, and false positive of detecting lesion would be reduced.

Abstract: An image processing device includes an acquiring unit configured to acquire a medical video image obtained by imaging of lungs, a holding unit configured to hold a lung field motion model, the lung field motion model simulating lung field motion, and a processing unit configured to process the medical video image by using the lung field motion model.

Abstract: Methods, apparatuses, systems, and software for extended phase correction in phase sensitive Magnetic Resonance Imaging. A magnetic resonance image or images may be loaded into a memory. Two vector images A and B associated with the loaded image or images may be calculated either explicitly or implicitly so that a vector orientation by one of the two vector images at a pixel is substantially determined by a background or error phase at the pixel, and the vector orientation at the pixel by the other vector image is substantially different from that determined by the background or error phase at the pixel. A sequenced region growing phase correction algorithm may be applied to the vector images A and B to construct a new vector image V so that a vector orientation of V at each pixel is substantially determined by the background or error phase at the pixel.

Abstract: An information processing apparatus according to the present invention is configured to project a given region (e.g., region of interest or lesion of interest) in a three-dimensional image (e.g., MRI image or X-ray CT image) onto a plane including a two-dimensional image (e.g., ultrasonic image) of an object, and cause a display unit to display an error range caused by projection (range where a corresponding region of the region of interest in the two-dimensional image may exist, also referred to as a search range) including the projected region in such a manner that the error range is overlaid on top of the two-dimensional image. Therefore, a user is able to efficiently search for the corresponding region in the two-dimensional image which corresponds to the region of interest in the three-dimensional image.