Abstract:
Disclosed is a battery state estimation method and apparatus, the method includes extracting data from target intervals in sensing data of a battery, generating feature vectors of the data extracted from each of the target intervals, applying a weight to each of the generated feature vectors, merging the feature vectors to which the weight is applied, and determining state information of the battery based on the merging.
Abstract:
A method of refining a depth image includes extracting shading information of color pixels from a color image, and refining a depth image corresponding to the color image based on surface normal information of an object included in the shading information.
Abstract:
A stereo matching method includes obtaining a first feature map associated with a first view image and a second feature map associated with a second view image using a neural network model-based feature extractor, determining respective matching costs between a reference pixel of the first view image and candidate pixels of the second view image using the first feature map and the second feature map, and determining a pixel corresponding to the reference pixel among the candidate pixels based on the determined matching costs.
Abstract:
An X-ray imaging apparatus includes an image comparator configured to compare a first frame image obtained by scanning an object at a particular point of time, and one or more second frame images obtained by scanning the object before the particular point of time, and an image restorer configured to restore a background region of the first frame image based on a result of the comparison between the first frame image and the one or more second frame images.
Abstract:
A method to process an image includes: determining a first specular reflection element from an input image based on a feature of chromaticity of pixels included in the input image; extracting a second specular reflection element from the first specular reflection element based on a feature of brightness of the pixels; and correcting the input image based on the second specular reflection element.
Abstract:
A method to prevent glare includes: detecting a glare with respect to a transparent display; identifying a light source corresponding to the glare; and setting a penetration level of a target region corresponding to a shape of the light source in the transparent display.
Abstract:
An image processing apparatus includes a processor configured to calculate a curvature value of a first point in stereo images based on a disparity value corresponding to the first point, and refine the disparity value based on the curvature value.
Abstract:
An X-ray imaging apparatus includes an X-ray generator configured to generate X-rays and radiate the X-rays to an object; an X-ray detector configured to detect the X-rays that have passed through the object and convert the detected X-rays into a signal; and a controller configured to generate a single energy X-ray image and a plurality of multiple energy X-ray images using the signal and control a display to display the generated single energy X-ray image and the plurality of multiple energy X-ray images together.
Abstract:
Disclosed herein are an image processing apparatus, a medical imaging apparatus, and an image processing method, which may intuitively and easily set an image processing parameter used to process a medical image to a user-preferred optimal value. The image processing apparatus includes a display unit configured to display a plurality of sample images to which at least one image processing parameter has been variably applied; an input unit configured to receive a selection of one from among the displayed plurality of sample images from a user; and an image processing unit configured to generate a plurality of new sample images to which the at least one image processing parameter has been variably applied based on an image processing parameter to be applied to the selected sample image when the user is not satisfied with the selected sample image.
Abstract:
An X-ray imaging apparatus includes an image comparator configured to compare a first frame image obtained by scanning an object at a particular point of time, and one or more second frame images obtained by scanning the object before the particular point of time, and an image restorer configured to restore a background region of the first frame image based on a result of the comparison between the first frame image and the one or more second frame images.