Abstract: Systems and methods for automated imaging and evaluation of image based features are disclosed herein. Method for automated imaging and evaluation of image based features can include receiving time-lapse images of at least one human embryo contained in a multi-well culture dish that can have a plurality of micro-wells. Image based features can be automatically generated from the time-lapse images of the human embryo. The image based features, which can include a cavitation feature, can be inputted into a classifier. The classifier can automatically and directly generate a viability prediction with the classifier from the image-based features.

Abstract: A computer-implemented method for providing a multi-modality visualization of a patient includes receiving one or more image datasets. Each image dataset corresponds to a distinct image modality. The image datasets are segmented into a plurality of anatomical objects. A list of clinical tasks associated with displaying the one or more image datasets are received. A machine learning model is used to determine visualization parameters for each anatomical object based on the list of clinical tasks. Then, a synthetic display of the image datasets is created by presenting each anatomical object according to its corresponding visualization parameters.

Abstract: To transmit and receive an instruction of superposing an image on a predetermined position on a display screen of a picked-up image and an instruction of superposing superposition information in the predetermined range of the picked-up image in accordance with a change in the picked-up image in a transmission and reception system including a single communication interface. A reception unit that receives a parameter from a setting apparatus and a superposition unit that selects a first superposition mode for superposing the superposition information on the predetermined position on the display screen of the picked-up image or a second superposition mode for superposing the superposition information on the position on the picked-up image in accordance with the change in the picked-up image in accordance with the received parameter for superposition of the superposition information.

Abstract: The current document is directed to digital-image-normalization methods and systems that generate accurate intensity mappings between the intensities in two digital images. The intensity mapping generated from two digital images is used to normalize or adjust the intensities in one image in order to produce a pair of normalized digital images to which various types of change-detection methodologies can be applied in order to extract differential data. In one approach, a mapping model is selected to provide a basis for statistically meaningful intensity normalization. In this implementation, a genetic optimization approach is used to determine and refine model parameters. The implementation produces a hybrid intensity mapping that includes both intensity mappings calculated by application of the mapping model and intensity mappings obtained directly from comparison of the images.

Abstract: A first imaging device and a second image device are connected with each other in a communicatable manner, and data of imaging timing and data of an exposure period of the first imaging device are transmitted to the second imaging device. In the second imaging device, the imaging timing and the exposure period can be set based on the data of the imaging timing and the data of the exposure period which are received. Therefore, an image is taken by the first imaging device and the second imaging device with the imaging timing and the exposure period of the first imaging device agreeing with those of the second imaging device.

Abstract: In one embodiment, a camera includes an image sensor within a camera housing that converts light entering the camera housing through an optical filter into digital image data. The optical filter can have a variable opacity. A processor in communication with the image sensor identifies operation settings for the optical filter and adjusts an opacity level of the optical filter over an exposure period in accordance with the operation settings for the optical filter. In addition, the processor modifies values of the digital image data based at least on the operation settings for the optical filter.

Abstract: A solid-state imaging device including an imaging area where a plurality of unit pixels are disposed to capture a color image, wherein each of the unit pixels includes: a plurality of photoelectric conversion portions; a plurality of transfer gates, each of which is disposed in each of the photoelectric conversion portions to transfer signal charges from the photoelectric conversion portion; and a floating diffusion to which the signal charges are transferred from the plurality of the photoelectric conversion portions by the plurality of the transfer gates, wherein the plurality of the photoelectric conversion portions receive light of the same color to generate the signal charges, and wherein the signal charges transferred from the plurality of the photoelectric conversion portions to the floating diffusion are added to be output as an electrical signal.

Abstract: In certain embodiments a computing device displays a live camera sensor view in a graphical user interface, captures a camera image, displays a visual indicator representative of the captured camera image in an image manager pane, the image manager pane and the live camera sensor view displayed together in the graphical user interface, displays, together with the image manager pane and the live camera sensor view in the graphical user interface, a selector for toggling an active input mode between the image manager pane and the live camera sensor view displayed together in the graphical user interface, and sends data representative of the captured camera image to another computing device by way of a network.

Abstract: A server includes a photo filter module with instructions executed by a processor to identify when a client device captures a photograph. Photograph filters are selected based upon attributes of the client device and attributes of the photograph. The photograph filters are supplied to the client device.

Abstract: A counting apparatus may include: a count control unit suitable for controlling a counting operation of a common value and a differential value of two pixel signals according to two neighboring output signals of a comparator unit; a counting unit suitable for counting a clock during a period corresponding to the common value and the differential value, according to control of the count control unit; and a memory unit suitable for storing count information from the counting unit and operation information from the count control unit.

Abstract: A solid-state imaging device includes a layout in which one sharing unit includes an array of photodiodes of 2 pixels by 4×n pixels (where, n is a positive integer), respectively, in horizontal and vertical directions.

Abstract: In time-delay-and-integrate (TDI) imaging, a charge-couple device (CCD) integrates and transfers charge across its columns. Unfortunately, the limited well depth of the CCD limits the dynamic range of the resulting image. Fortunately, TDI imaging can be implemented with a digital focal plane array (DFPA) that includes a detector, analog-to-digital converter (ADC), and counter in each pixel and transfer circuitry connected adjacent pixels. During each integration period in the TDI scan, each detector in the DFPA generates a photocurrent that the corresponding ADC turns into digital pulses, which the corresponding counter counts. Between integration periods, the DFPA transfers the counts from one column to the next, just like in a TDI CCD. The DFPA also non-destructively transfers some or all of the counts to a separate memory. A processor uses these counts to estimate photon flux and correct any rollovers caused by “saturation” of the counters.

Abstract: A method for training a system for reconstructing a magnetic resonance image includes: under-sampling image data from each of a plurality of fully-sampled images; and inputting the under-sampled image data to a multi-scale neural network comprising sequentially connected layers. Each layer has an input for receiving input image data and an output for outputting reconstructed image data. Each layer performs a process comprising: decomposing the array of input image data; applying a thresholding function to the decomposed image data, to form a shrunk data, the thresholding function outputting a value asymptotically approaching one when the thresholding function receives an input having a magnitude greater than a first value, reconstructing the shrunk data for combining with a reconstructed image data output by another one of the layers to form updated reconstructed image data, and machine-learning at least one parameter of the decomposing, the thresholding function, or the reconstructing.

Abstract: Embodiments of the invention provide systems and techniques for analyzing an existing light fixture in its installed environment and, based on the sensed location of the light and its environmental illumination pattern, identifying at least one LED retrofit fixture that may be used to replace the existing light fixture.

Abstract: Embodiments provide a lens moving apparatus including a bobbin in which a lens is mounted, a first coil and a magnet configured to electromagnetically interact with each other so as to move the bobbin, a housing configured to accommodate the bobbin therein, an elastic member including an inner frame coupled to the bobbin, an outer frame coupled to the housing, and a frame connection portion configured to connect the inner frame and the outer frame to each other, and a support member connected to the elastic member and configured to support the housing, and the outer frame includes a first coupling portion coupled to the housing, a second coupling portion coupled to the support member, the second coupling portion being spaced apart from the first coupling portion, and a single connection portion configured to connect the first coupling portion and the second coupling portion to each other.

Abstract: An image processing apparatus includes an operation receiving unit; and a control unit configured to perform a normal mode display process of displaying icon images of kinds corresponding to an operation status of the apparatus in a display unit and an icon description display process of displaying an icon selection image for selecting an icon image that is being displayed in the display unit upon reception of an operation input to activate an icon description mode by the operation receiving unit during the normal mode display process in the display unit and displaying a description image for an icon image selected upon reception of an operation input by the operation receiving unit while the icon selection image is being displayed in the display unit.

Abstract: Image processing methods and image processing apparatuses are provided. The image processing method comprises: determining at least one region of interest in an image; determining a parameter of interest of pixels in the image at least according to distribution of the at least one region of interest in the image; determining target positions of the pixels according to the parameter of interest of the pixels and a reduction ratio; and obtaining, according to the target positions of the pixels, a reduced image corresponding to the image. A proportion occupied by pixels of each region in a reduced image after compression is determined according to a degree of interest of a user in each region in an image, to cause a region appreciated by the user to be presented with high quality during restoration, and facilitate image processing after compression.

Abstract: Techniques are disclosed to identify a form document in an image using a digital fingerprint of the form document. To do so, the image is evaluated to detect features of the image and determine a polygon bounding each feature. For each polygon, pixels are plotted in a second image based on coordinates of a center of the polygon. The second image is the digital fingerprint of the form. To identify the form corresponding to the digital fingerprint, the digital fingerprint may be compared to digital fingerprints of known forms.

Abstract: A body relationship estimation method and apparatus are disclosed. The method includes obtaining a target picture, calculating a first body relationship feature of two persons according to at least one of first location information of a body part of each person of the two persons in the target picture or second location information of body parts of the two persons, where the first location information is obtained by performing single-person gesture estimation on each person, and the second location information is obtained by performing two-person joint gesture estimation on the two persons when the first location information indicates that the body parts of the two persons overlap, and determining a body relationship between the two persons according to the first body relationship feature.

Abstract: Asynchronous information is provided by a sensor having a matrix of pixels disposed opposite the scene. The asynchronous information includes, for each pixel of the matrix, successive events originating from this pixel, that may depend on variations of light in the scene. A model representing the tracked shape of an object is updated after detecting events attributed to this object in the asynchronous information. Following detection, the updating of the model includes an association of a point of the model with the event detected by minimizing a criterion of distance with respect to the pixel of the matrix from which the detected event originates. The updated model is then determined as a function of the pixel of the matrix from which the detected event originates and attributed to the object and of the associated point in the model, independently of the associations performed before the detection of this event.