Abstract: The present invention discloses a grid data record processing method. The method comprising: acquiring influence parameters of lag time of an insulator on which flashover is occurred, the lag time being a time interval from the insulator flashover to tripping of a corresponding breaker in a substation is caused; determining the lag time according to the acquired influence parameters of the lag time and a lag time evaluation model; and determining trip-up records caused by the insulator flashover from grid data records according to the lag time. With the method and apparatus according to embodiments of the present invention, trip-up records caused by insulator flashover can be efficiently determined from grid data records.

Abstract: A microprocessor is operably coupled to a camera from which patient vital signs are determined. A temporal variation of images from the camera is generated from multiple filters and then amplified from which the patient vital sign, such as heart rate or respiratory rate, can be determined and then displayed or stored.

Abstract: A method reduces processing time required to identify locations burned by fire by receiving a feature value for each pixel in an image, each pixel representing a sub-area of a location. Pixels are then grouped based on similarities of the feature values to form candidate burn events. For each candidate burn event, a probability that the candidate burn event is a true burn event is determined based on at least one further feature value for each pixel in the candidate burn event. Candidate burn events that have a probability below a threshold are removed from further consideration as burn events to produce a set of remaining candidate burn events.

Abstract: A mobile electronic device is used to decode a printed correlation mark. The device receives an image of a printed correlation mark, identifies a decoding template, applies the template to detect hidden content within the printed correlation mark, and outputs an image of the detected hidden content on the display. The device may enhance the image before presenting it on the display.

Abstract: A method of selectively harvesting fruits includes generating a first series of images of a plant while the plant is moved to expose hidden fruits, identifying an object displayed in the first series of images as a suspect fruit from feature boundary data defined by color regions, comparing a color parameter of the suspect fruit to a criterion associated with a ripeness, advancing an automated picker toward the suspect fruit based on a determined position of the suspect fruit and while monitoring a proximity sensor of the automated picker, detecting a color of the impediment and confirming that the impediment is a fruit, operating the automated picker to pick the fruit from the plant, and while the automated picker is operated to pick the fruit, generating a second series of images of one or more additional plants while the one or more additional plants are moved to expose additional fruits.

Abstract: Embodiments of the present disclosure provide a software program that displays both a volume as images and segmentation results as surface models in 3D. Multiple 2D slices are extracted from the 3D volume. The 2D slices may be interactively rotated by the user to best follow an oblique structure. The 2D slices can “cut” the surface models from the segmentation so that only half of the models are displayed. The border curves resulting from the cuts are displayed in the 2D slices. The user may click a point on the surface model to designate a landmark point. The corresponding location of the point is highlighted in the 2D slices. A 2D slice can be reoriented such that the line lies in the slice. The user can then further evaluate or refine the landmark points based on both surface and image information.

Abstract: A method for providing an image of a subject is provided. The plurality of Cartesian points is divided into a first group and a second group, wherein all of the Cartesian points in the first group have a kr that is less than or equal to kr of all of the Cartesian points in the second group. The second group is divided into N subgroups. An inversion recovery radio frequency is applied to the subject. K-space data for the first group of Cartesian points for M different time periods is acquired, wherein k-space data is acquired for only one sub-group sequentially and cyclically for the M different time periods. For each time period i of the M different time periods, acquired k-space data for the first group of Cartesian points at time period i and k-space data from N consecutive subgroups of Cartesian points.

Abstract: Content played at an event is identified using watermarking and/or other content recognition combined with contextual metadata, which facilitates identification and correlation with other content and metadata when it is posted to a network.

Abstract: The subject disclosure is directed towards automatically labeling location-related information such as corresponding to GPS data or the like with a semantic label. A classifier trained with machine learning is provided with feature data corresponding to the location-related information and other features, such as user demographics data of a person associated with location-related information. The semantic label is received from the classifier, and associated with the location-related information. Other features may be used, such as other egocentric features corresponding to a person's particular visit, features from a sequence of visits, and/or features from other user information. The semantic label may be used to trigger an action, label a location on a map or the like, and so on.

Abstract: Provided are a fire detecting apparatus and a method thereof for detecting a fire, the method includes operations of extracting a feature of at least one object in an input image by using a value of a brightness difference between pixels of the input image or by using an RGB value of the input image; converting the extracted feature of the at least one object into an N dimensional feature; and performing Support Vector Machine (SVM) machine learning on the N dimensional feature of the at least one object.

Abstract: A diagnostic device includes a microscope configured to obtain image data on a plurality of cells and a computing device. The computing device is configured to receive the image data, identify at least a portion of each of the plurality of cells based on the received image data, determine at least one of a value of a morphological parameter for each identified at least a portion of the plurality of cells or a relative organization among the identified at least a portion of the plurality of cells, and calculate statistics for the plurality of cells based on the at least one of the determined values of the morphological parameter or the determined relative organization, the statistics including information suitable for distinguishing metastatic cells from non-metastatic cells. The diagnostic device further includes an output device configured to output the statistics for diagnosis.

Abstract: The various embodiments herein provide a system for indicating a position-dependent color-coded information to a user with respect to a color-indicator map. The system comprises a mobile device to determine a location of the user, transmit that information to the server and receive a numerical score, display color-coded information, and repeat this process every couple of seconds. The details of the location of the user from the mobile device is received by a server. The server is associated with a computing device which is configured to calculate a numerical score with respect to the location and transmit that information back to the mobile device. The system further comprises of an RGB LED or array of RGB LEDs in communication with the mobile device which is configured to display position-dependent color-coded information to the user with respect to a color-indicator map.

Abstract: Systems and methods for image guidance, which may include an image processing unit, cameras, and handheld real-time imaging components or handheld displays, wherein the cameras observe visual features on patients, tools, or other components, and wherein said features allow camera or object positions to be determined relative to secondary image data or a reference position, and wherein the image processing unit is configured to dynamically register observations with secondary image data, and to compute enhanced images based on combinations of one or more of secondary image data, positioning data, and real-time imaging data.

Abstract: The present invention discloses a grid data record processing method and apparatus. The method comprising: acquiring influence parameters of lag time of an insulator on which flashover is occurred, the lag time being a time interval from the insulator flashover to tripping of a corresponding breaker in a substation is caused; determining the lag time according to the acquired influence parameters of the lag time and a lag time evaluation model; and determining trip-up records caused by the insulator flashover from grid data records according to the lag time. With the method and apparatus according to embodiments of the present invention, trip-up records caused by insulator flashover can be efficiently determined from grid data records.

Abstract: An image display device includes: a display unit; an image extraction unit that extracts a main image group from an image group; an image association unit that associates sub images included in a sub image group not extracted from the image group with main images included in the main image group; and a display control unit that generates a display screen in which the main image group is arranged in a first area along a first direction and the sub images are aligned with each of the main images in a second area along a second direction, and causes the display unit to display the display screen. The display control unit changes the display screen in a mode in which the main image group is moved along the first direction and in a mode in which the main image group and the sub image group are moved along the second direction.

Abstract: A method for identifying and analyzing amounts and nutritional values of food consumption, utilizing digital image processing and linked nutritional information. A recipe generator is utilized to provide a component analysis of food preparations based on identification of subcomponents.

Abstract: Method of processing an image of the skin is disclosed. The method comprises the receipt of skin image data, the generation of simulated images with artificial transformation and the analysis of the simulated images to form a vector from extracted features.

Abstract: An image processing apparatus of the present invention performs reconstruction processing on a projected image of an object obtained by using a radiation source and a detector in order to obtain a tomographic image in which noise has been reduced regardless of the type of reconstruction filter that is used. The image processing apparatus includes a selection unit that selects a reconstruction filter in accordance with an imaging technique; a setting unit that sets an image processing parameter for noise reduction according to the type of the selected reconstruction filter; an image processing unit that performs image processing on the projected image using the image processing parameter; and a reconstruction unit that uses the selected reconstruction filter to perform reconstruction processing on the projected image resulting from the image processing and obtain a tomographic image of the object.

Abstract: Method for generating and using a database of pixel patterns includes obtaining images using a mobile device including a common pixel pattern and processing each image based on a size of the pixel pattern and/or angular orientation of the pixel pattern relative to an imaging direction to derive positional information about the pixel pattern. Location of the mobile device is determined by obtaining an image including a stationary pixel pattern, searching the database for the obtained pixel pattern, and retrieving positional information about a closest match pixel pattern. With the retrieved positional information, an angle between an imaging direction in which the image including the closest match pixel pattern was obtained and an imaging direction in which the image was obtained and/or a size differential between the closest match pixel pattern and the pixel pattern in the obtained image is/are analyzed to derive positional information about the mobile device's location.

Abstract: A method for determining a viewing configuration of a rendered figure of a rehab-patient or a sports trainee, aiming to deliver a suitable view on the rendered figure, the method comprising the steps of capturing motion data in the 3D space of one or more body parts of the rehab-patientor the sports trainee and providing them to a computer; and further the step of performing on the computer measurements of deviation of the captured motion data from a reference list of motion data and/or measurements of main motion direction; and based on the results of the above measurements, determining the viewing configuration.