Image conversion

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

Image converter and image conversion method

Abstract: PROBLEM TO BE SOLVED: To provide an image converter and an image conversion method capable of fast converting an input image data of three-element color information to an output image data of four-element color information, and also capable of generating an output image data for forming an image of high quality SOLUTION: An intermediate image data of four-element is generated in dot sequence from an input image data of three-element in dot sequence at a color space converter 1 A gray correction 2 applies the intermediate image data with various correction processes for, for example, higher resolution The intermediate image data after correction is converted into the image data of field sequence at a dot-field converter 3, which is outputted as an output image data Since the gray correction 2 can handle the intermediate image data of dot sequence, the frequency in accessing a memory decreases for faster correction process Further, image data for forming an image of high quality is generated by performing correction process corresponding to a background color in the process for higher resolution COPYRIGHT: (C)2005,JPO&NCIPI

Apparatus and method for inspecting defect of solar cell, and program

Abstract: PROBLEM TO BE SOLVED: To provide a solar cell defect inspection apparatus that uses excitation emission of a solar cell without using a darkroom, and to provide a defect inspection method and a program.SOLUTION: A defect inspection apparatus 100 includes: power source means 102 that applies a forward voltage to a solar cell 110 to be tested to emit light by excitation; imaging means 104 for capturing an image of the solar cell 110; image processing means 108 for processing the image captured by the imaging means 104; and output means 148 that outputs the image processed by the image processing means 108. The imaging means 104 includes: an optical filter 12 that transmits light near a wavelength band of light emitted by excitation from the solar cell 110; a photoelectric image conversion element 13 for converting the light passing through the optical filter 12 to visible light; and an imaging element 132 that images the visible light converted by the photoelectric image conversion element 13 on an imaging surface to capture an image of the solar cell 110 emitting the light by excitation.

Methods and systems for identifying and changing resolutions to cause an aspect ratio of a printed image to match an aspect ratio of image data

Abstract: An image forming apparatus according to the present disclosure includes an image data analysis unit and an image conversion unit. The image data analysis unit is configured to identify a width-directional resolution and a height-directional resolution of image data. If the width-directional resolution and the height-directional resolution are not the same, the image conversion unit is configured to change at least one of pixel counts in a width direction and a height direction to cause a first aspect ratio for printing to match a second aspect ratio of the image data.

Apparatus and method for detecting lesion from medical image automatically

Abstract: Disclosed is an apparatus for automatically detecting a position of lesion from a medical image. The apparatus for automatically detecting a position of lesion of the present invention comprises: an input unit for receiving an original image collected through a medical device; a threshold setting unit for converting the original image to a grayscale image, and setting at least one threshold value based on brightness values of pixels constituting the grayscale image; an image conversion unit for binarizing the grayscale image to a black and white image based on the at least one threshold value; and a contour processing unit for extracting contour by searching for components, which may be lesion, from the binarized image, and displaying the extracted contour on the original image.

Orthogonal Gradient-Based Binary Image Representation for Vehicle Detection

Abstract: The paper presents a novel method of image conversion into binary representation. This method of image conversion is based on small orthogonal image gradients. The input image sequence consist of consecutive frames taken from the video stream obtained from the camera placed over a road. Images from the input image sequence are processed separately into binary image representation. Layout of logical values of binary image representation is in accordance with edges of objects comprised in the source image. Vehicle detection is performed by the analysis of changes of the detection field state. The state of the detection field is determined on the basis of appropriate sums of logical values calculated within the detection field. The proposed method of image conversion into binary representation is efficient and attractive computationally. Gradient-based binary image representation is intended for application in road traffic systems. Experimental results are provided.