G06T2207/20221

Image capture device with contemporaneous image correction mechanism

A hand-held or otherwise portable or spatial or temporal performance-based image capture device includes one or more lenses, an aperture and a main sensor for capturing an original main image. A secondary sensor and optical system are for capturing a reference image that has temporal and spatial overlap with the original image. The device performs an image processing method including capturing the main image with the main sensor and the reference image with the secondary sensor, and utilizing information from the reference image to enhance the main image. The main and secondary sensors are contained together within a housing.

Atlas-Based Determination of Tumor Growth Direction
20180005378 · 2018-01-04 ·

The invention relates to a method for determining the spatial development of tumor tissue, by acquiring patient medical image data describing sequences of patient medical images of tumors in parts of patient bodies, wherein the patient medical images of each sequence have been taken at subsequent points in time and each sequence has been taken tier a different patient; determining, by additively fusing subsequent patient medical images of each sequence to one another, patient spatial development data describing the spatial development of a tumor in each patient body; acquiring atlas data describing an atlas representation of the parts of patient bodies; determining, based on the atlas data and the patient development data, development probability data describing a probability for a spatial development of a tumor.

IMAGE SEGMENTATION VIA MULTI-ATLAS FUSION WITH CONTEXT LEARNING

Systems and methods are provided for segmenting tissue within a computed tomography (CT) scan of a region of interest into one of a plurality of tissue classes. A plurality of atlases are registered to the CT scan to produce a plurality of registered atlases. A context model representing respective likelihoods that each voxel of the CT scan is a member of each of the plurality of tissue classes is determined from the CT scan and a set of associated training data. A proper subset of the plurality of registered at lases is selected according to the context model and the registered atlases. The selected proper subset of registered atlases are fused to produce a combined segmentation.

METHOD OF HIDING AN OBJECT IN AN IMAGE OR VIDEO AND ASSOCIATED AUGMENTED REALITY PROCESS
20180005448 · 2018-01-04 ·

A method for generating a final image from an initial image including an object suitable to be worn by an individual. The presence of the object in the initial image is detected. A first layer is superposed on the initial image. The first layer includes a mask at least partially covering the object in the initial image. The appearance of at least one part of the mask is modified. The suppression of all or part of an object in an image or a video is enabled. Also, a process of augmented reality intended to be used by an individual wearing a vision device on the face, and a try-on device for a virtual object.

SYSTEM AND METHOD FOR DETECTING DEFECTS IN A COMPONENT

A method for inspecting a component is presented. The method includes inducing, by an inductive coil, an electrical current flow into the component. Further, the method includes capturing, by an infrared (IR) camera, at least a first set of frames and a second set of frames corresponding to the component, wherein the first set of frames is captured at a first time interval and a second set of frames is captured at a second time interval. Also, the method includes constructing, by a processing unit, a thermal image based on at least the first set of frames and the second set of frames corresponding to the component. Furthermore, the method includes determining presence of a thermal signature in the thermal image, wherein the thermal signature is representative of a defect in the component.

METHOD AND APPARATUS FOR AUTOMATED PLACEMENT OF A SEAM IN A PANORAMIC IMAGE DERIVED FROM MULTIPLE CAMERAS

A method, apparatus and computer program product are provided to generate a panoramic view derived from multiple cameras and automatically place a seam in that panoramic view in a computationally efficient manner. In regards to a method, images captured by at least two cameras are received. Each camera has a different, but partially overlapping field of view. The method determines a seam location and scale factor to be used when combining the images together to minimize errors at the seam between the two images. In some example implementations, the seam location and scale factor may be recalculated in response to a manual or automatic trigger. In some additional example implementations, motion associated with an image element near a seam location is detected, and the seam location is moved in a direction opposite that of the direction of motion.

IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE, AND IMAGE PICKUP APPARATUS
20180003923 · 2018-01-04 ·

One embodiment of the present invention provides an image processing method, the method comprising: acquiring a plurality of viewpoint images; generating a contrast distribution from the plurality of viewpoint images; and generating an output image by performing image processing in accordance with the contrast distribution with respect to an image based on the plurality of viewpoint images.

Adaptation of Image Data Sets to an Updated Atlas-Based Reference System
20180012358 · 2018-01-11 ·

The invention relates to a computer-implemented medical data processing method for determining a mapping of medical image content into a reference system, the method comprising executing, on a processor of a computer, steps of: a) acquiring, at the processor, medical image data describing a digital medical image of an anatomical structure of a patient's body; b) acquiring, at the processor, image attribute data describing attribute information associated with the medical image data, the attribute information including an indication of an initial reference system in which spatial relationships of the digital medical image are defined; c) acquiring, at the processor, reference system transformation data describing a spatial relationship (REG) between the initial reference system and a second reference system which is different from the initial reference system; d) determining, by the processor and based on the medical image data and the reference system transformation data, transformed image data describing a representation of the digital medical image in the second reference system.

Preview Image Acquisition User Interface for Linear Panoramic Image Stitching
20180013954 · 2018-01-11 · ·

A system and method that allows the capture of a series of images to create a single linear panoramic image is disclosed. The method includes capturing an image, dynamically comparing a previously captured image with a preview image on a display of a capture device until a predetermined overlap threshold is satisfied, generating a user interface to provide feedback on the display of the capture device to guide a movement of the capture device, and capturing the preview image with enough overlap with the previously captured image with little to no tilt for creating a linear panorama.

SYSTEM AND METHOD FOR ADAPTIVE PANORAMIC IMAGE GENERATION
20180012336 · 2018-01-11 ·

An imaging system for adaptively generating panoramic images and methods for manufacturing and using same are provided. The system includes an imaging device configured to capture digital images at a plurality of image capture positions. The system further includes a processor configured to identify an overlapping portion of first and second images captured at respective first and second image capture positions, determine a stitching position quality measure for a plurality of stitching positions in the overlapping portion of the first and second images, and select a stitching position based on the determined stitching position quality measures of the plurality of stitching positions of the first and second images. The processor is also configured to stitch the first and second images together at the selected stitching position to generate a panoramic image and determine a third image capture position based on the stitching position quality measure.