Abstract: A system, method and device for object identification is provided. The method of identifying objects includes, but is not limited to, calculating feature vectors of the object, calculating feature vectors of the object's context and surroundings, combining feature vectors of the object, calculating likelihood metrics of combined feature vectors, calculating verification likelihood metrics against contact list entries, calculating a joint verification likelihood metric using the verification likelihood metrics, and identifying the object based on the joint verification likelihood metric.

Abstract: According to one embodiment, a structuring circuitry temporarily structures a dynamical model of analysis processing based on the time-series medical image. The identification circuitry identifies a latent variable of the dynamical model so that at least one of a prediction value of a blood vessel morphology and a prediction value of a bloodstream based on the temporarily structured dynamical model is in conformity with at least one of an observation value of the blood vessel morphology and an observation value of the bloodstream measured in advance. The analysis circuitry analyzes the dynamical model to which the identified latent variable is allocated.

Abstract: The latest progresses in breast imaging using differential phase contrast techniques pose the question of how to fuse multiple information sources, yielded by absorption, differential phase, and scattering signals, into a single, informative image for clinical diagnosis. It is proposed to use an image fusion scheme based on a multiple-resolution framework. The three signals are first transformed into multiple bands presenting information at different frequencies and then a two-step processing follows: (1) intra-band processing enhances the local signal-to-noise ratio using a novel noise estimation method and context modeling; and (2) inter-band processing weights each band by considering their characteristics and contributions, and suppressing the global noise level. The fused image, looking similar to a conventional mammogram but with significantly enhanced detail features, is reconstructed by inverse transform.

Abstract: The present disclosure relates to model-based surgical planning. One aspect of the present disclosure relates to a surgical planning tool that can be implemented on a computer to be used for model-based surgical planning. The surgical tool can determine a coordinate system related to gravity from a plurality of standing images of a joint of a patient. The coordinate system can be used to plan a patient-specific arthroplasty procedure. As such, the surgical planning can include orienting a model of an implant for the joint at an optimal location in the coordinate system based on a weighting between an edge loading value and an impingement value.

Abstract: A prohibited object detection system detects prohibited objects in a patient room. An image of an object detected in a room of a patient is initially collected. The system identifies reference points on the object, for example, points along the contours of the object. The system may compare the reference points to reference points of images associated with prohibited objects. The system then determines, based on the comparison, if the object is a prohibited object. One or more designated recipients may be alerted if the object is a prohibited object. The system may also register the object in a database of prohibited objects.

Abstract: An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Abstract: A medical imaging apparatus and a method of processing a medical image. The medical imaging apparatus includes: an image processor configured to respectively determine color values for subregions of an organ based on at least two of first through third analysis values for each of the subregions. A display outputs display of a first map image obtained by respectively mapping the determined color values to the subregions and indicating the determined color values on the subregions. In the case where the image of the organ is a heart, the different parts of the heart correspond to respective subregions, and an indication of a probability of disease corresponds to a plurality of colors in a color map of the regions.

Abstract: Systems and methods are provided for tracking a dribbling motion associated with a person engaged in either a training session for a sporting event or the live play of the sporting event. In sporting events, a dribbling motion can be associated with a repetitive movement or a short trajectory sequence between changes of direction of a ball, puck or other object used in the sporting event. The repetitive movement or short trajectory sequence used for dribbling can involve an up-and-down movement such as in basketball or a back-and-forth movement such as in soccer or hockey. The system can use one or more cameras to capture images of a person dribbling an object and at least one processor to analyze the images to determine and evaluate one or more characteristics associated with the dribbling motion.

Abstract: A method for estimating a distance between a first target and a second target in an image is to be implemented using a distance estimation system that includes a processor module. In the method, the processor module is programmed to: generate an image depth map associated with the image; generate first position information associated with a first position which corresponds to the first target in the image, and second position information associated with a second position which corresponds to the second target in the image; and compute an estimate of a distance between the first target and the second target based on at least the image depth map, the first position information, and the second position information.

Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: The present invention relates to the field of data storage, and discloses an image storage method and apparatus thereof. In the present invention, the method comprises the following steps: judging if a storage time of a current image reaches a predetermined duration; if the judgment result is yes, then determining a target region containing at least one region of interest in the current image according to the predetermined duration; generating a target region image containing the target region according to the target region, wherein the data size of the target region image is smaller than the data size of the current image; storing the target region image; deleting the current image.

Abstract: A digital magazine server determines a dominant color present in an image using a clustering algorithm. Color components of each pixel in the image are identified used to generate vectors associated with each pixel. Based on the vectors associated with the pixels, clusters including one or more pixels are generated using a clustering algorithm (e.g., k-means). The digital magazine server generates a characteristic vector for each cluster based on the vectors included in the cluster and selects a set of clusters based on their characteristic vectors. A centroid identifying the dominant color of the image is determined from the characteristic vectors of clusters in the set.

Abstract: A method of noise filter parameter adaptation, the method comprising receiving a current video frame comprising a plurality of pixels. A table lookup is performed, using current statistical values associated with the current video frame. Noise filter parameters are adapted, based on current lighting conditions as determined from the performed table lookup. The current lighting conditions correspond to the current statistical values. The current video frame is noise filtered as defined by the adapted noise filter parameters.

Abstract: Locating morphology in a tissue sample is achieved with devices and methods involving storage of a plurality of feature vectors, each associated with a specific named superpixel of a larger image of a tissue sample from a mammalian body. A microscope outputs, in some embodiments, a live image of an additional tissue sample or a digitized version of the output is used. At least one superpixel of the image is converted into a feature vector and a nearest match between the first feature vector and the plurality of stored feature vectors is made. A first name suggestion is then made based on the nearest match comparison to a store feature vector. Further, regions of interest within the image can be brought to a viewer's attention based on their past history of selection, or that of others.

Abstract: The invention regards an animal monitoring system for determining feed consumption of one or more animals feeding at a feeding area, comprising an imaging unit for range imaging the feeding area, identification means configured to uniquely identify each feeding animal, and processing means configured for assessing the amount of feed consumed by each identified animal by determining the reduction of feed in subsequent images of the feeding area in front of each identified animal.

Abstract: A video camera is provided for video-based anomaly detection that includes at least one imaging sensor configured to capture video sequences in a workplace environment having a plurality of machines therein. The video camera further includes a processor. The processor is configured to generate one or more predictions of an impending anomaly affecting at least one item selected from the group consisting of (i) at least one of the plurality of machines and (ii) at least one operator of the at least one of the plurality of machines, using a Deep High-Order Convolutional Neural Network (DHOCNN)-based model applied to the video sequences. The DHOCNN-based model has a one-class SVM as a loss layer of the model. The processor is further configured to generate a signal for initiating an action to the at least one of the plurality of machines to mitigate expected harm to the at least one item.

Abstract: A user-independent, quantitative, multiparametric MRI model is developed and validated on co-registered correlative histopathology, yielding improved performance for cancer detection over single parameter estimators. A computing device may be configured to receive a first parametric map that maps imaged tissue of a patient using values of a first parameter, and a second parametric map that maps the imaged tissue using values of a second parameter, wherein the parametric maps are generated from medical imaging data for the imaged tissue. The computing device may be further configured to apply a multiparametric model to the maps to generate at least one Composite Biomarker Score for the tissue, the model being a function of the first parameter and the second parameter. The function may be determined based on co-registered histopathology data. The computing device may be further configured to generate an indication of whether the tissue includes predicted cancer, and output the indication.

Abstract: A method and an apparatus for providing panoramic image data by reconstructing frame images captured by a panoramic imaging apparatus, are disclosed. In reconstruction of images with multiple image layers, sizes of images reconstructed with an image layer or images to be used for a reconstruction are scaled. An image is selected by analyzing sharpness. A panoramic image is provided by combining selected image. According to the present invention, parts having unclear focal planes may be completely removed in a panoramic image and it is possible to provide an image including only with focused regions.

Abstract: Digital images, such as radiological images, are evaluated using correlative properties of information contained in a pixel and adjacent pixels. Each pixel is evaluated according to its own properties and adjacent pixels. Each pixel is identified as either satisfying a predefined criteria or not satisfying the criteria based on how many of the pixel and adjacent pixels satisfy a correlative property. A binary array is formed with the pixels satisfying the predefined criteria being nonzero and the other pixels being zero. The image being evaluated is divided into predefined blocks of pixels, and the number of nonzero pixels in each of the blocks is divided by the predefined number of pixels in the blocks to produce a ratio for each block. Image intensity is set for each of the blocks according to the ratio. Correlative information from corresponding pixels across different images of the same object can also be evaluated.

Abstract: In a method and an image capturing system (5) for capturing signals and image data of a volume segment of an examination object, raw data of the volume segment are captured, and image time stamps are captured at which certain of the raw data are captured. Physiological signals of the examination object are captured at the same time as capturing the raw data. Signal time stamps are captured at which certain of the physiological signals are captured. The capture of the raw data and the capture of the physiological signals is controlled by the same processor of the image capturing system, so that both the image time stamps and the signal time stamps are predetermined by the same processor.