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 distortion correction component of a mobile device receives an image of a spread open multi-page document, determines a binding edge line of the spread open multi-page document, determines a first set of substantially vertical straight lines lying left of the binding edge line and a second set of substantially vertical straight lines lying right of the binding edge line. The distortion correction component then determines a first vanishing point based on the first set of substantially vertical straight lines and a second vanishing point based on the second set of substantially vertical straight lines. A first quadrangle is determined based on the first vanishing point and a second quadrangle is determined based on the second vanishing point. A corrected image for the first page is generated based on the first quadrangle and a corrected image for the second page is generated based on the second quadrangle.

Embodiments of the present application relate to a method, apparatus, and system for detecting a specified image identifier. The method includes retrieving a target image to be detected from a predetermined area, binarizing the target image to be detected to obtain a target binary image to be detected, calibrating connected domains of the target binary image to be detected, successively retrieving image features of candidate connected domains, and comparing the image features corresponding to the candidate connected domains to image features of a standard specified identifier image, wherein the candidate connected domains are determined based at least in part on the calibration of the connected domains, and determining a candidate connected domain as the location of the specified identifier image based at least in part on the comparison of the image features corresponding to the candidate connected domains to image features of the standard specified identifier image.

According to one embodiment, a road surface management system inputs image data of road surface and capturing information of each of the image data and registers them. The image data are collected by repeatedly capturing a same route at predetermined distance. The capturing information includes information of a location and time at time of capturing. The system selects old and new images at a same spot from the registered image data, performs an association process, extracts an original image which is an old image at an arbitrary spot and a target image which is a new image associated with the original image unit based on the result of the association process, and outputs the original image and the target image.

In an approach for propagating labels of objects in an image, a processor receives the image. A processor performs a normalization of the image. A processor runs the image through a pre-trained object detector. A processor receives a set of detected objects from the pre-trained object detector. A processor determines a width dimension and a height dimension of a bounding box for each detected object of the set of detected objects. A processor propagates a label for each instance of each detected object in the image with the respective bounding box using prior geometric knowledge of bounding box placement. A processor inverses the normalization of the labeled image. A processor outputs the labeled image.

An image processing device performs projection conversion that makes an image captured of an object to be recognized closer to a normal image captured from front of the object to be recognized based on a correlation between: a pre-specified plurality of feature ranges dispersed within a range of the object to be recognized; and a plurality of feature ranges designated based on the dispersion in the image.

Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus, receive vehicle configuration information for a vehicle corresponding to the vehicle license plate in response to the transmission, and receive user input to post the vehicle configuration information to an external website.

A method for operating an electronic device includes: based on detection of an event, activating at least one reflector device connected to the electronic device; controlling the at least one reflector device to have an angle with respect to the electronic device such that a view position of a user is placed on the at least one reflector device; and controlling to display, on a display of the electronic device, event information associated with the detected event to be reflected to the at least one reflector device.

An image processing method includes: obtaining a first image, identifying a facial region in the first image, and determining keypoint information related to the facial region, where the keypoint information includes keypoint information of the facial region and external edge keypoint information, and a region corresponding to the external edge keypoint information includes the facial region and is larger than the facial region; and determining a plurality of deformation regions based on the keypoint information related to the facial region, and performing image deformation processing on the facial region based on at least part of the plurality of deformation regions to generate a second image.

A face image straight line processing method, a terminal device, and a storage medium are provided. The method includes: detecting faces and straight lines in an image; determining attributes of each of straight lines based on positions of face frames, and start coordinates and end coordinates of the straight lines; extracting an effective line set from the straight lines; and keeping, during performing face distortion correction on the image, relative positions of points on effective lines in the effective line set unchanged.