An example method includes acquiring a first image using a medical imaging modality that includes a two-dimensional field of view to include a patient and a multi-modal marker. A second image is acquired using the medical image modality. The second image includes the patient and the multimodal marker and is along a non-coincident angle with respect to the first image. Predetermined portions of the multi-modal marker are visible in the first and second images and have a known location and orientation with respect to at least one sensor detectable by a tracking system. The method also includes estimating a three-dimensional position for predetermined portions of the multi-modal marker. The method also includes determining an affine transformation for registering a three-dimensional coordinate system of the tracking system with a three-dimensional coordinate system of the medical imaging modality.

A method of generating a composite image from multiple images captured for a subject is disclosed. In some embodiments, the method may include receiving, via an image capturing device, a plurality of sets of images of at least a portion of a subject. The images within a set of images may be captured at a plurality of vertical positions with respect to an associated fixed section of a horizontal plane. The method may further include generating a plurality of focus-stacked images corresponding to the plurality of sets of images, for example, by combining the images in the associated set of images. The method may further include aligning the plurality of focus-stacked images in the horizontal plane based on a horizontal coordinate transformation model to generate a composite image representing the subject.

A plurality of electronic documents comprising one or more document pages are received. First position markers, second position markers and page identifiers are inserted to the pages. The plurality of electronic documents are printed, thereby generating a printed corpus comprising a plurality of printed documents. The plurality of printed documents are scanned, thereby generating a scanned corpus comprising a plurality of scanned images. Scanning frame positions of the first and the second position markers are detected and the detected scanning frame positions and the page positions are used to define affine transformations between the plurality of scanned images and the corresponding document pages. The affine transformations are applied to the plurality of scanned images to align the plurality of scanned images with the corresponding document pages of the plurality of electronic documents.

Disclosed is an image processing method. The method includes: determining that an original image is to be displayed on a dividing line between two display screens; acquiring a complete display picture of the original image, and calculating distances from boundaries of the original image to the dividing line; and adjusting a display position of the original image on the two display screens according to the distances, and displaying the complete display picture of the original image according to the adjusted display position. Further disclosed are an image processing apparatus, a storage medium and a processor.

One or more embodiments are described for generating a two dimensional map of an environment using a set of submaps that include point clouds of the environment that are captured using multiple scanner systems that move independently from one position to another in the environment. Each 2D scanner system steers a beam of light within a first plane to illuminate object points in the environment, and a controller determines a distance value to at least one of the object points. The 2D submaps of the environment are generated based on an activation signal from an operator and based at least in part on the distance value, each submap generated from a respective point in the environment and by a respective 2D scanner system. A central processor generates the 2D image of the environment using the 2D submaps.

A system and method of generating a two-dimensional (2D) image of an environment is provided. The system includes a 2D scanner having a controller that determines a distance value to at least one of the object points. One or more processors are operably coupled to the 2D scanner, the one or more processors being responsive to nontransitory executable instructions for generating a plurality of 2D submaps of the environment based at least in part on the distance value, each submap generated from a different point in the environment. A map editor is provided that is configured to: select a subset of submaps from the plurality of 2D submaps; and generate the 2D image of the environment using the subset of 2D submaps. The method provides for realigning of 2D submaps to improve the quality of a global 2D map.

A method and apparatus for processing an image are provided. A specific embodiment of the method includes: acquiring a target image and a to-be-inserted image, and determining an insertion area in the target image; adjusting, based on an average lightness value of the insertion area and an average lightness value of the to-be-inserted image, a lightness value of a pixel included in the to-be-inserted image, an average lightness value being used to represent a lightness of an image; and adjusting, in response to determining that a difference between a color attribute value of the acquired to-be-inserted image and a color attribute value of the insertion area is outside a preset range, the color attribute value of the to-be-inserted image such that the difference is within the preset range. This embodiment improves the pertinence of adjusting image data.

An image processing apparatus designates a first partial region for a first image obtained by rendering a configuration of an object in accordance with a predetermined coordinate system, designates a second partial region corresponding to the first partial region for a second image including an image obtained by capturing the object, and converts an image of the second partial region into an image complying with the predetermined coordinate system based on a coordinate of the first partial region in the first image and a coordinate of the second partial region in the second image. In the designation of the first partial region, different first partial regions in the first image are sequentially designated, and a first partial region at a (k+1)-th time based on a first partial region designated at a k-th time.

Techniques related to performing image registration are discussed. Such techniques include converting a source image region and a target image portion from a color image space to a semantic space and iteratively converging homography parameters using the source image region and target image portion in the semantic space by applying iterations with some homography parameters allowed to vary and others blocked from varying and subsequent iterations with all homography parameters allowed to vary.

Medical imaging analysis systems are configured to perform automatic image registration algorithms that perform three-dimensional (3D), affine, and/or intensity-based co-registration of magnetic resonance imaging (MRI) data, such as multiparametric MRI (mpMRT) data, using mutual information (MI) as a similarity metric. An apparatus comprises a computer-readable storage medium storing a plurality of imaging series of magnetic resonance imaging (MRI) data for imaged tissue of a patient; and a processor coupled to the computer-readable storage medium. The processor is configured to receive the imaging series of MRI data; identify a volume of interest (VOI) of each image of the imaging series of MRI data; compute registration parameters for the VOIs through the maximization of mutual information of the corrected VOIs; and register the VOIs using the computed registration parameters.