Image conversion

About: Image conversion is a research topic. Over the lifetime, 2490 publications have been published within this topic receiving 19077 citations.

Medical image conversion

Abstract: In accordance with one or more embodiments herein, a system 100 for generating an optimized parametrized conversion function T for converting an original medical image of a first image type into a converted medical image of a second image type is provided. The system 100 comprises at least one processing unit configured to: obtain original medical images of the first and second image types; obtain an initial parametrized conversion function G to convert original medical images of the first image type into converted medical images of the second image type; calculate a first penalty P1 based on at least one comparison of a first original medical image of the second image type with a first converted medical image of the second image type, that has been generated by applying a first parametrized conversion function G1, which is based on the initial parametrized conversion function G, to a first original medical image of the first image type that forms an image pair with the first original medical image of the second image type and has thereby been determined to show the same part of the same patient; calculate a second penalty P2 based on at least one comparison of an original medical image of the first image type and a converted medical image of the second image type that has been generated by applying a second parametrized conversion function G2, which is based on the initial parametrized conversion function G, to the original medical image of the first image type, after converting the original medical image of the first image type and/or the converted medical image of the second image type into images of the same image type; and generate the optimized parametrized conversion function T based on the parameters of the initial parametrized conversion function G and at least said first and second penalties P1 and P2.

Apparatus and Method of Marker Recognition for Automatic Landing Image Based on Unmanned Plane

Abstract: The present invention provides a marker recognition method for automatic landing based on an unmanned plane image to estimate an unmanned plane altitude by using a pixel size of a marker in an image, camera view angle distortion, and size information of a real marker based on a long-range recognition technique and a short-range recognition technique. A marker recognition device comprises: an image conversion unit configured to convert an RGB image of a marker, obtained by a camera attached to an unmanned plane, into an HSV image; a distance calculation unit configured to calculate a short-range image or a long-range image by using altitude information derived based on a size of a marker in the converted HSV image; an image processing unit configured to generate a filter image from which noise is eliminated per the calculated range image or the calculated long-range image and configured to convert a filter image into a binary image by using a threshold value calculated by Otsus method; a connection component candidate generation unit configured to assign numbers to connection components, connected to the converted binary image, respectively, to generate a level image and configured to set the assigned connection components as connection component candidates; a rotation angle calculation unit configured to adjust a size of a template by a connection component size, define a rotation angle and calculate the angle to rotate the template when an inputted image is a long-range image; and a marker recognition unit configured to calculate a correlation coefficient (r) of the template with the set connection component candidates through template rotation wherein the template is the same as the marker and configured to compare maximum correlation coefficients of the connection components to each other to recognize a connection component candidate having the largest correlation coefficient as a marker.

Composite function generating method

Abstract: PURPOSE:To generate a function which secures continuity for an input that varies discontinuously and dynamically at random by using a multidimensional normal distribution function as the generating function and performing composition by the linear combination of the generating function. CONSTITUTION:Detected distances of sensors 21-2n are converted into relative position coordinates by a coordinate conversion part 30. A control deviation generating part 31 generates the position error between the target position and current position of a robot and the rotational error. An image conversion part 32 converts the input position coordinates and position deviation into a three-dimensional image of the normal distribution by using a basic function and an image arithmetic part 33 adds respective three-dimensional images after image conversion to generate a potential surface in a virtual space. A conversion part 34 computes an attitude controlled variable from the potential value between calculated virtual spaces. A virtual suctional force generation part 35 generates an induction acceleration force and a virtual turning force generation part 36 generates a turning force to a target rotational angle.

Image processing system, image output device, and image processing method

Abstract: An image processing system includes an image reading device and an image output device. The image reading device includes an image conversion unit configured to create a low-quality image by reducing a quality of a predetermined image, a dictionary creating unit configured to create a dictionary for restoring the low-quality image to the predetermined image, the dictionary being created by using the predetermined image and the low-quality image, and a sending unit configured to send the low-quality image and the dictionary or information relating to the dictionary. The image output device includes a receiving unit configured to receive the low-quality image and the dictionary or the information relating to the dictionary, and an image restoring unit configured to restore the low-quality image to the predetermined image, by using the dictionary or the information relating to the dictionary.

Apparatus and method of adaptively converting image in image display system

Abstract: Adaptive image conversion method and apparatus in an image display system are provided. The image conversion apparatus for adaptively converting an input image into an output image reflecting a user's preferred color comprises a color temperature estimation unit estimating a color temperature of the input image, a target color temperature calculation unit receiving the estimated color temperature and the user's preferred color temperature, and obtaining a target color temperature adaptively varying on the basis of the user's preferred color temperature according to the difference of the estimated color temperature and a preset reference color temperature, and a color temperature conversion unit obtaining a color temperature conversion coefficient from the estimated color temperature and the target color temperature and converting the input image into the output image based on the color temperature conversion coefficient.