A method is provided. The method includes one or more of receiving, by an image processing device, one or more images from an image capture device. The one or more images are each associated with metadata that includes a common direction. For each of the one or more images, the method further includes adding one or more pairs of parallel lines, converting each of the one or more pairs of parallel lines into intersection coordinates with 2D drawing elements, and calculating construction progress from the intersection coordinates. The 2D drawing includes a 2D floor plan or a 2D elevation plan, and each pair of parallel lines designates one of the start or end of construction during a current period of time.

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.

In a method of segmenting a medical image, a segmentation of the medical image is displayed (102) to a user, the segmentation comprising a contour representing a feature in the medical image. A user input is then received (104), the user input indicting a correction to the contour in the segmentation of the medical image. A shape constraint is determined (106) from the contour and the indicated correction to the contour and the shape constraint is provided (108) as an input parameter to a segmentation model to perform a new segmentation of the medical image.

According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry estimates a contour of a desired structure based on a medical image, receives a desired correction mode among multiple correction modes for correcting the estimated contour, and corrects the estimated contour according to the desired correction mode.

A method and system for automated visual inspection, include receiving, from a camera imaging an inspection line, an image of the inspection line. The image includes an item on the inspection line personal or confidential image data. A processor produces from the image of the inspection line a reduced image, which does not include the personal or confidential image data, and inputs the reduced image to an inspection process.

Techniques for generating aligned, augmented reality views are disclosed. In some embodiments, an estimate of a floorplan of a three-dimensional space is first generated based on one or more received views of the three-dimensional space from a camera located in the three-dimensional space. A camera pose of the camera in the three-dimensional space is next determined based on generating a corrected floorplan from the estimate of the floorplan based on foreknowledge associated with the floorplan. Display of a rendering having the determined camera pose is facilitated in an actual view of the camera, resulting in an aligned, augmented reality view.

An image processing apparatus includes a memory and a processor coupled to the memory and configured to perform acquiring object area information representing an image area of a target object in an image from an image database, using the object area information to calculate a distance map representing distance values from a contour of the target object inside the image area, and generating, based on the distance map, a line of points representing a curved line reflecting a global shape of the target object.

In a current image processing environment, providing feedback for a user operation is slow, and a user cannot confirm the result of the operation in real time. Thus, the user interrupts the operation every time the user confirms the feedback, and a time period for performing image processing is long. An image processing device includes a guidance information generator. The guidance information generator acquires trajectory information to be used to segment an image object on an image input from a user, generates guidance information indicating a segmentation region desired by the user based on the trajectory information, and presents the segmentation region based on a user's intention in real-time. The guidance information generator provides a function of smoothly continuously segmenting an image object.

Disclosed is an intraluminal ultrasound imaging system, including a processor circuit in communication with an intraluminal ultrasound imaging catheter, wherein the processor circuit is configured to receive a plurality of intraluminal ultrasound images obtained by the intraluminal ultrasound imaging catheter during movement of the intraluminal ultrasound imaging catheter within a body lumen of a patient. The processor circuit is further configured to select an image from among the plurality of intraluminal ultrasound images, generate at least two border contours associated with the lumen within the selected image, display the border contours associated with the lumen, each overlaid on a separate instance of the selected image, receive a user input selecting one of the border contours; and display the selected image overlaid with the selected border contour.

A media application receives user input that indicates one or more objects to be erased from a media item. The media application translates the user input to a bounding box. The media application provides a crop of the media item based on the bounding box to a segmentation machine-learning model. The segmentation machine-learning model outputs a segmentation mask for one or more segmented objects in the crop of the media item and a corresponding segmentation score that indicates a quality of the segmentation mask.