Scene text information extraction of desired text information from an image can be performed and managed. An information management component (IMC) can determine an anchor word based on analysis of an image. To facilitate determining desired text information in the image, WIC can re-orient the image to zero or substantially zero degrees if it determines that the orientation is skewed. IMC can utilize a neural network to determine and apply bounding boxes to text strings in the image. Using a rules-based approach or machine learning techniques, employing a trained machine learning component, IMC can utilize the anchor word along with inline grouping of textual information in the image, deep text recognition analysis, or bounding box prediction to determine or predict the desired text information in the image. IMC can facilitate presenting the desired text information, anchor word, or other information obtained from the image in an editable format.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

A method to assess a subject diagnosis is provided. The method includes receiving an image from an image-capturing device, the image comprising an area of interest in a test cartridge, and finding a border of the area of interest of the test cartridge and applying a geometrical transformation on an area delimited by the border of the test cartridge to bring the image of the area of interest in the test cartridge to a selected size and a selected shape. The method also includes identifying a target region within the area of interest of the test cartridge, evaluating a quality of the image based on a characteristic feature of the target region, and providing commands to adjust an optical coupling in the image-capturing device when the quality of the image is lower than a selected threshold.

This application discloses a technology for flattening a photographed page of a book and straightening texts therein. The technology uses one or more mathematical models to represent a curved shape of the photographed page with certain parameters. The technology also uses one or more photographic image processing techniques to dewarp the photographed page using the parameters of the curved shape. The technology uses one or more additional parameters that represent certain features of the photographed page to dewarp the photographed page.

The present disclosure describes method, apparatus, and storage medium for obtaining object information. The method includes obtaining a to-be-tracked image comprising at least one object and at least one reference image comprising a plurality of objects; extracting a to-be-tracked image block comprising a plurality of to-be-tracked points from the to-be-tracked image and extracting a reference image block comprising a plurality of reference points from a reference image of the at least one reference image; constructing a point transformation relationship between the to-be-tracked image block and the reference image block based on a position relationship between the plurality of to-be-tracked points and a position relationship between the plurality of reference points; and obtaining a position of a reference point in the reference image corresponding to a to-be-tracked point based on the point transformation relationship, to determine an object in the reference image corresponding to the at least one object.

According to an embodiment, an electronic device may include: a display including a polarization layer, a biometric sensor positioned to at least partially overlap the display, and an optical member including a light condenser positioned between the display and the biometric sensor. The biometric sensor may include a light receiving unit comprising light receiving circuitry configured to receive light emitted from the display and reflected by an external object. A length of the light receiving unit in a first direction, which is a polarization axis direction of the polarization layer, is greater than a length of the light receiving unit in a second direction crossing the first direction.

An autonomous driving control apparatus may include a processor configured to determine a wear degree of a tire of a vehicle based on image data of the tire during autonomous driving of the vehicle, and to perform vehicle control depending on the wear degree of the tire; and a storage electrically connected to the processor and configured to store the image data and algorithms driven by the processor.

A method according to one embodiment of the present disclosure comprises receiving a first image of a patient's anatomy, the first image generated at a first time and depicting a plurality of rigid elements; receiving a second image of the patient's anatomy, the second image generated at a second time after the first time and depicting the plurality of rigid elements; determining a transformation from the first image to the second image for each one of the plurality of rigid elements to yield a set of transformations; calculating a homography for each transformation in the set of transformations to yield a set of homographies; and identifying, using the set of homographies, a common portion of each transformation attributable to a change in camera pose, and an individual portion of each transformation attributable to a change in rigid element pose.

An electronic device is provided. The electronic device includes a camera, a communication interface, and a processor configured to capture an image of a background of a display device through the camera, to divide the captured image into a plurality of blocks, to compare a target gradation value with gradation values of the each of the plurality of blocks, to adjust the gradation values of the each of the plurality of blocks, and to transmit an image of which the gradation values are adjusted, to the display device through the communication interface, wherein the sizes of the plurality of blocks are identified based on a background pattern of the display device.

An information processing device includes: an acquisition unit configured to acquire setting information which is set based on a template image and associates an image region with analysis process content; and an image processing unit configured to perform an analysis process corresponding to the analysis process content associated with the image region on an image of a target region corresponding to the image region in an input image.