Image conversion

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

Method and display system for controlling high contrast of graphic data

Abstract: PROBLEM TO BE SOLVED: To provide a display system capable of always displaying a high contrast image even if external light varies, and performing a high degree of adjustment which cannot be maintained and automatically performed from a remote position. SOLUTION: A display system comprises sensors for sensing external light and a computer connected with each of them, and according to the steps 200-204, the computer transmits an image (an original image) to the display device; the display device displays the transmitted original image; then the sensors sense the external light and transmits the sensor image of the result; a converted image is formed by processing the original image by image conversion so that an influence of the external light is offset on the computer and displayed on the display. Therefore, it is possible to display a high contrast image under any external light conditions, or even if the external light conditions vary by outputting the converted image processed beforehand to cancel the influence of the external light from the original image.

Image correction method for omnidirectional monitoring of vehicle

Abstract: PURPOSE: An image correcting method for vehicle omnidirectional monitoring is provided to change a view point of an image using an adjusted image conversion parameter, thereby combining the converted image with the other images. CONSTITUTION: A height determining unit(60) detects the height of a camera(S20). The height determining unit compares the height of the camera with a reference value. The height determining unit determines a difference occurs between the height of the camera and the reference value(S30). If an error occurs the height of the camera and the reference value, an image conversion parameter correcting unit(70) adjusts an image conversion parameter using the height of the camera(S40). An image processing unit(30) converts a view point of an image photographed by the camera using the image conversion parameter(S60).

Image coordinate conversion method

Abstract: PURPOSE: To provide an image coordinate conversion method which can increase an image conversion speed for a part consisting of only a color pixel that is prescribed by the same value within a binary image CONSTITUTION: An unconverted image consisting of a binary image is divided into plural sub-areas (Q1), and it is decided whether every sub-area consists of the color pixel that is prescribed by one of both value (Q2) Then a converted image consisting of a binary image is divided into plural sub-blocks (Q3), and all sub-areas that include unconverted pixels corresponding to every sub-block of the converted image are detected (Q5) The sub-blocks of the converted image are filled with the colors prescribed by these sub-block value when it is decided that all detected sub-areas consist of only the color pixels that are prescribed by the same value (Q6, Q10)

Image conversion method and image-converting computer program

Abstract: PROBLEM TO BE SOLVED: To provide an image conversion method and an image-converting computer program, reducing a calculation amount necessary for conversion from an image with distortion into an image with no distortion to facilitate the real-time conversion. SOLUTION: The image with no distortion is divided into a plurality of triangular areas, coordinates of a point in the image with the distortion corresponding to a vertex of the triangle are calculated, an affine transformation expression of the triangle is found, and the coordinates of the point in the image with the distortion corresponding to each the point of the image with no distortion are found by the use of the found affine transformation expression. COPYRIGHT: (C)2004,JPO&NCIPI

Processing of Data from the Camera of Structured Light for Algorithms of Image Analysis in Control Systems of Mobile Robots

Abstract: The article discusses the preprocessing algorithms of three-dimensional clouds of points from structured light cameras, methods of image recognition, algorithms for constructing maps and route planning for robot motion. Various methods and algorithms for the transformation of a three-dimensional cloud of points leads to reduction of computational complexity of all stages of data processing for implementation of the algorithm on an onboard navigation system with limited computing resources. Based on the proposed sequence of image conversion, software has been developed for implementation of the algorithm of spatial orientation of a robot. Image processing methods and functions of PCL and ROS metapackage libraries were used. Experimental study of the possibilities of the developed image processing and route construction algorithm was made using the prototype of a mobile robot on a wheeled platform.