Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.

Methods and systems for manually assisted definition of vascular features are described. In some embodiments, a method provides for editing of vascular paths by enabling a user to drag an erroneously segmented region of a selected vascular path into alignment with a more correctly segmented position that is depicted as a blood vessel in a vascular image. The method may use an energy function, defined as a function of position along the segmentation of the selected blood vessel, to determine how a vascular path is to be moved based on dragging motions provided by the user. In some instances, non-zero regions of the energy function are set based on the position of the selected region.

An image processing device (3000) comprises an input unit (3020) and a presentation unit (3040). The input unit (3020) accepts an input of an operation for movement, on a captured image captured by a camera, of a first image which is superimposed on the captured image on the basis of a predetermined camera parameter indicating the position and attitude of the camera and which indicates a target object having a predetermined shape and a predetermined size set in a real space. The presentation unit (3040) presents the first image indicating the target object in a manner of view corresponding to a position on the captured image after the movement on the basis of the camera parameter.

Dynamic motion path blur techniques are described. In one or more implementations, paths may be specified to constrain a motion blur effect to be applied to a single image. A variety of different techniques may be employed as part of the motion blur effects, including use of curved blur kernel shapes, use of a mesh representation of blur kernel parameter fields to support real time output of the motion blur effect to an image, use of flash effects, blur kernel positioning to support centered or directional blurring, tapered exposure modeling, and null paths.

In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.

A computer-implemented method for segmenting an object in at least one image acquired by a camera including computing an edge probabilities image based on the image, said edge probabilities image comprising, for each pixel of the image, the probability that said pixel is an edge, computing a segmentation probabilities image based on the image (IM), said segmentation probabilities image comprising, for each pixel of the image (IM), the probability that said pixel belongs to the object (OBJ), and computing a binary mask of the object based on the edge probabilities image and based on the segmentation probabilities image.

An image processing apparatus includes an image-frame reading section that reads one or more image frames from a moving image, a region-boundary-line-information receiving section that receives information concerning a region boundary line in the read image frames, a region dividing section that expands a division region starting from a point on the region boundary line and divides the inside and outside of the region boundary line with division lines, which connect points of brightness, an opening processing section that leaves a first division line between a pair of the region boundary lines and opens a second division line, a separating section that separates regions in the image frames in units of a region surrounded by the first division line, and a first depth-value giving section that gives, to the region surrounded by the first division line, a depth value representing a distance degree of the region.

A method and apparatus for delineating an object within a volumetric medical image. The method comprises obtaining auto-generated contour data for the object within the volumetric medical image, the auto-generated contour data defining a set of auto-generated contours forming a delineation structure for the object, selecting a subset of auto-generated contours for manual editing, and identifying the selected subset of auto-generated contours to a user. In some examples, the method further comprises presenting at least the selected subset of auto-generated contours to the user, receiving user feedback for at least one auto-generated contour, deriving a full set of contours forming a revised delineation structure for the object based at least partly on an interpolation of the auto-generated contour(s) for which user feedback was received, and storing contour data defining the derived full set of contours forming the revised delineation structure for the object within at least one data storage device.

A medical system may comprise a display system, a user input device, a medical instrument, and a manipulator assembly configured to support and operate the medical instrument. The medical system may also comprise a control system. The control system may be configured to display image data corresponding to a three-dimensional anatomical region via the display system, receive a first user input to generate a first curve in the three-dimensional anatomical region via the user input device, and receive a second user input to generate a second curve in the three-dimensional anatomical region via the user input device. The control system may also be configured to determine an anatomical boundary bounded by the first curve and the second curve. The control system may also be configured to control the manipulator assembly to operate medical instrument using the determined anatomical boundary to limit movement of the medical instrument.

Systems and methods for utilizing Augmented Reality (AR) processes to track cables among a tangled bundle of cables are provided. An AR method, according to one implementation, includes a step of obtaining an initial captured image showing a bundle of cables. The AR method also includes the step of processing the initial captured image to distinguish a selected cable from other cables of the bundle of cables. Also, the AR method includes displaying the initial captured image on a display screen while visually augmenting an image of the selected cable to highlight the selected cable with respect to the other cables.