According to various embodiments, an electronic device is provided. The electronic device includes a display, a RGB sensor including a plurality of first pixels, a dynamic vision sensor including a plurality of second pixels, and a processor electrically connected with the display, the RGB sensor, and the dynamic vision sensor. The processor may be configured to detect a first signal to request to capture an image, obtain a first image including a first object using the RGB sensor, based on the detection of the first signal, identify at least one edge of the first object corresponding to at least one second image obtained during a first period specified by a time of detecting the first signal, among a plurality of second images obtained using the dynamic vision sensor, generate a synthesized image in which an effect related to the at least one edge of the first object is applied to the first image, and control the display to display the synthesized image.

An image processing apparatus including a division unit configured to divide first image data having a first dynamic range into a plurality of regions, an obtaining unit configured to obtain distance information indicating a distance from a focal plane in each of the plurality of regions, a determining unit configured to determine a conversion characteristic of each of the plurality of regions based on the distance information, a conversion unit configured to convert each of the plurality of regions into second image data having a second dynamic range smaller than the first dynamic range by using the conversion characteristic determined by the determining unit, and a storage unit configured to store a first conversion characteristic and a second conversion characteristic that can be used for the conversion.

Various embodiments of a 3D+imaging system include a focal plane array with in-pixel analog storage elements. In embodiments, an analog pixel circuit is disclosed for use with an array of photodetectors for a sub-frame composite imaging system. In embodiments, a composite imaging system is capable of determining per-pixel depth, white point and black point for a sensor and/or a scene that is stationary or in motion. Examples of applications for the 3D+imaging system include advanced imaging for vehicles, as well as for industrial and smart phone imaging. an extended dynamic range imaging technique is used in imaging to reproduce a greater dynamic range of luminosity.

A method includes calculating a first medial-axis tree graph of a volume of an organ of a patient in a first computerized anatomical map of the volume, acquired at a first time. A second medial-axis tree graph is calculated, of a volume of the organ of the patient in a second computerized anatomical map of the volume, acquired at a second time that is different from the first time. A deviation is detected and estimated, between the first and second tree-graphs. Using the estimated deviation, the first and second medial-axis tree graphs are registered with one another. Using the registered first and second tree graphs, the first and second computerized anatomical maps are combined.

A medical/surgical microscope with two cameras configured to capture two dimensional images of specimens being observed. The medical/surgical microscope is secured to a control apparatus configured to adjust toe-in of the two cameras to insure the convergence of the images. The medical/surgical microscope includes a computer system with a non-transitory memory apparatus for storing computer program code configured for digitally rendering real-world medical/surgical images. The medical/surgical microscope has an illumination system with controls for focusing and regulating the lighting of a specimen. The medical/surgical microscope is configured for real-time video display with the function of recording and broadcasting simultaneously during surgery.

Aspects of the invention include generating a combined raster image from point cloud data and reference data describing an original location of a power line. Selecting a set of candidate pixels from the combined raster image describing an updated location of a power line, wherein the selection is based at least in part on a location of pixels in the combined raster image that describe the original location. Detecting pixels from the set of candidate pixels that describe an updated location of a power line. Modifying the combined raster image to reflect the updated location of the power line.

Implementations are described herein for edge-based real time crop yield predictions made using sampled subsets of robotically-acquired vision data. In various implementations, one or more robots may be deployed amongst a plurality of plants in an area such as a field. Using one or more vision sensors of the one or more robots, a superset of high resolution images may be acquired that depict the plurality of plants. A subset of multiple high resolution images may then be sampled from the superset of high resolution images. Data indicative of the subset of high resolution images may be applied as input across a machine learning model, with or without additional data, to generate output indicative of a real time crop yield prediction.

An image processing apparatus comprises a calculation unit configured to obtain, for a pixel of interest in a boundary portion of a specific region in a captured image bounding a non-specific region, a direction vector to the non-specific region, a selection unit configured to select one of pixels in the boundary portion that are adjacent to the pixel of interest, as a selected pixel based on the direction vector of the pixel of interest, and a generation unit configured to generate information indicating a direction from the pixel of interest to the selected pixel as information indicating a contour corresponding to the specific region.

This application provides a method for evaluating a motion state of a vehicle performed by a computer device. The method includes: obtaining target image data captured by cameras on the vehicle, and combining every two neighboring image frames in the target image data into N image frame groups; obtaining matching feature points between two image frames included in each of the N image frame groups; constructing target mesh plane figures respectively corresponding to the N image frame groups according to the matching feature points in each image frame group; and determining the motion state of the vehicle according to the target mesh plane figures respectively corresponding to the N image frame groups. By adopting the embodiments of this application, the evaluation accuracy of the motion state of the vehicle may be improved.

Certain aspects of the present disclosure provide an ophthalmic imaging device for enhancing images. The device comprises an image capture component configured to generate an image stream comprising a first frame preceding a second frame, both capturing a branch of veins in an eye. The device further comprises an image processor configured to calculate first order statistics for a plurality of blocks for the first frame and to interpolate first order statistics for the first frame based at least in part on the branch of veins. The image processor is also configured to generate a tone mapping function and calculate tone mapping values for individual pixels of the second frame based on the tone mapping function. The image processor is additionally configured to generate an enhanced frame based on the calculated tone mapping values for individual pixels of the second frame to the pixels of the second frame.