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Image conversion

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


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Patent
29 Jun 2011
TL;DR: In this paper, the authors proposed a method and equipment for capturing abstract images, and relates to a photographing method, which comprises the following steps: according to the physical characteristics of light, projecting luminescent images on a screen onto one or more than one image conversion plates.
Abstract: The invention provides a method and equipment for capturing abstract images, and relates to a photographing method. The method comprises the following steps: according to the physical characteristics of light, projecting luminescent images on a screen onto one or more than one image conversion plates, wherein, the image conversion plates are placed in the front of the screen and can cause the diffuse reflection, interference, refraction or diffraction of light so that the distortion and unreality of the original images are generated to form the abstract images; and then capturing the abstract images from the image conversion plates by utilizing a common camera. The image conversion plates are made from materials such as plastics, glass and the like, thus being cheap and available; and the illuminated surfaces of the plates are uneven, and the plates can be provided with film bubbles and penetrable small holes or slits. By utilizing the method and the equipment, colorful and available captured object resources can be provided for capturing the abstract images, thus the method is simple, economical and practical.
Proceedings ArticleDOI
10 Oct 2005
TL;DR: In this article, the NIR image was considered more effective in separating the soil background for its higher contrast value and was selected for image processing to calculate the leaf area index (LAI).
Abstract: Leaf Area Index (LAI), as a fundamental parameter to evaluate the physiological condition of plants, was calculated by image processing based on machine vision technology. The measurement system hardware consisted primarily of the MS3100 3CCD camera, the image grabber card, a desktop computer and the acquired images were processed by Matlab and ENVI. After acquiring the 3 images by the 3CCD camera of Green, Red and NIR channels, the NIR image was considered more effective in separating the soil background for its higher contrast value. Thus, it was selected for image processing to calculate the leaf area index (LAI). The transect method was applied to obtain the threshold 50 in the binary image conversion and the soil background was thus eliminated as a result that most of its reflectance in the image was under 50. Then the 'imerode'-'imdilate' operation in the image processing box of Matlab was used to remove the left crop stem noises, including those small weeds in the binary image background. Consequently, the LAI of the acquired NIR image was calculated as 0.523 by dividing the total image pixel amount by that of the black pixels in the binary image.
Patent
04 Jul 2013
TL;DR: In this paper, an image conversion device according to the present invention processes image conversion in block units according to a preset direction, thereby reducing time for correcting image distortion, obtaining characteristics for reducing power consumption and heat since fast operation is performed even at a low clock.
Abstract: The present invention relates to an image conversion device. The image conversion device according to the present invention processes an image conversion in block units according to a preset direction, thereby reducing time for correcting image distortion, obtaining characteristics for reducing power consumption and heat since fast operation is performed even at a low clock, and improving device stability when the image conversion is processed.
Patent
01 Sep 2017
TL;DR: In this article, a three-dimensional image conversion structure which is detachably connected to a display device is described. But the structure is not shown in detail, except for the alignment mark on the image capture unit.
Abstract: The invention discloses a three-dimensional image conversion structure which is detachably connected to a display device The display device has a display screen and an image capture unit The display surface of the display screen faces the same direction as the light-in surface of the image capture unit The three-dimensional image conversion structure comprises a three-dimensional image conversion element and an alignment mark The three-dimensional image conversion element covers the display surface of the display screen The alignment mark covers the light-in surface of the image capture unit By using the three-dimensional image conversion structure of the invention, an image output by the display device can be converted between a two-dimensional image and a three-dimensional image
Patent
YongKeun Park, WeiSun Park1, YoungJu Jo, Hyun-Seok Min, Hyungjoo Cho 
13 May 2021
TL;DR: In this paper, a method and apparatus for generating a 3D molecular image based on a label-free method using a 3-D refractive index image and deep learning is presented.
Abstract: Disclosed are a method and apparatus for generating a three-dimensional (3-D) molecular image based on a label-free method using a 3-D refractive index image and deep learning. The apparatus for generating a 3-D molecular image based on a label-free method using a 3-D refractive index image and deep learning may include a 3-D refractive index cell image measurement unit configured to measure a 3-D refractive index image of a cell to be monitored and a 3-D refractive index and fluorescence molecule staining image conversion unit configured to input a measured value of the 3-D refractive index image to a deep learning algorithm and to output a 3-D fluorescence molecule staining cell image of the cell.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202132
202074
2019117
2018115
2017100
2016107