WordNet

render visible, as by means of MRI
the general impression that something (a person or organization or product) presents to the public; "although her popular image was contrived it served to inspire music and pageantry"; "the company tried to project an altruistic image"
an iconic mental representation; "her imagination forced images upon her too awful to contemplate" (同)mental image
(mathematics) the set of values of the dependent variable for which a function is defined; "the image of f(x) = x^2 is the set of all non-negative real numbers if the domain of the function is the set of all real numbers" (同)range, range of a function
preparing or putting through a prescribed procedure; "the processing of newly arrived immigrants"; "the processing of ore to obtain minerals"
(medicine) obtaining pictures of the interior of the body (同)tomography

PrepTutorEJDIC

(鏡に映った)『像』,(レンズによる)映像 / (心に浮かぶ)『像』,心像,イメージ / (絵・彫刻などによる人・動物などの)『像』,肖像;偶像《+『of』+『名』》 / (…に)『そっくりの人』(『物』)《+『of』+『名』》 / (…の)典型;(…の)化身《+『of』+『名』》 / (直喩(ちょくゆ)・隠喩などの)比喩 / …‘の'像を描く;…‘を'思い描く

Wikipedia preview

出典(authority):フリー百科事典『ウィキペディア（Wikipedia）』「2016/08/17 11:52:52」(JST)

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[Wiki en表示]

In imaging science, image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, or a video, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image.^[1] Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Images are also processed as three-dimensional signals where the third-dimension being time or the z-axis.

Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging.^[2]

Closely related to image processing are computer graphics and computer vision. In computer graphics, images are manually made from physical models of objects, environments, and lighting, instead of being acquired (via imaging devices such as cameras) from natural scenes, as in most animated movies. Computer vision, on the other hand, is often considered high-level image processing out of which a machine/computer/software intends to decipher the physical contents of an image or a sequence of images (e.g., videos or 3D full-body magnetic resonance scans).

In modern sciences and technologies, images also gain much broader scopes due to the ever growing importance of scientific visualization (of often large-scale complex scientific/experimental data). Examples include microarray data in genetic research, or real-time multi-asset portfolio trading in finance.

References

^ Rafael C. Gonzalez; Richard E. Woods (2008). Digital Image Processing. Prentice Hall. pp. 1–3. ISBN 978-0-13-168728-8.
^ Joseph P. Hornak, Encyclopedia of Imaging Science and Technology (John Wiley & Sons, 2002) ISBN 9780471332763
^ http://www.disi.unige.it/person/RovettaS/rad/image-processing-wikipedia-book.pdf

External links

Lectures on Image Processing, by Alan Peters. Vanderbilt University. Updated 7 January 2016.
Image Processing On Line – Open access journal with image processing algorithms, open source implementations and demonstrations
IPRG Open group related to image processing research resources

UpToDate Contents

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1. コンピュータ断層撮影コロノグラフィの概要 overview of computed tomographic colonography
2. MR内視鏡イメージング magnetic endoscopic imaging
3. 胸部CTの原理 principles of computed tomography of the chest
4. 小児における読字障害：臨床的特徴および評価 reading difficulty in children clinical features and evaluation
5. 定量的冠動脈造影：技術的な問題 quantitative coronary angiography technical issues

English Journal

Nanoplasmonic biochips for rapid label-free detection of imidacloprid pesticides with a smartphone.

Lee KL1, You ML2, Tsai CH3, Lin EH1, Hsieh SY1, Ho MH4, Hsu JC5, Wei PK6.
Biosensors & bioelectronics.Biosens Bioelectron.2016 Jan 15;75:88-95. doi: 10.1016/j.bios.2015.08.010. Epub 2015 Aug 10.
The widespread and intensive use of neonicotinoid insecticides induces negative cascading effects on ecosystems. It is desirable to develop a portable sensitive sensing platform for on-site screening of high-risk pesticides. We combined an indirect competitive immunoassay, highly sensitive surface p
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Intra-familial Similarity of Wide-Field Fundus Autofluorescence in Inherited Retinal Dystrophy.

Furutani Y1, Ogino K2, Oishi A3, Gotoh N4, Makiyama Y5, Oishi M6, Kurimoto M7, Yoshimura N8.
Advances in experimental medicine and biology.Adv Exp Med Biol.2016;854:299-305. doi: 10.1007/978-3-319-17121-0_40.
To examine the similarity of wide-field fundus autofluorescence (FAF) imaging in inherited retinal dystrophy between siblings and between parents and their children. The subjects included 17 siblings (12 with retinitis pigmentosa and 5 with cone rod dystrophy) and 10 parent-child pairs (8 with retin
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Human Embryonic and Hepatic Stem Cell Differentiation Visualized in Two and Three Dimensions Based on Serial Sections.

Vestentoft PS1, Brøchner CB, Lynnerup N, Andersen CY, Møllgård K.
Methods in molecular biology (Clifton, N.J.).Methods Mol Biol.2016;1307:245-62. doi: 10.1007/7651_2014_128.
Pluripotent human embryonic stem cells (hESCs) are characterized by two defining properties, self-renewal and differentiation. Self-renewing hESCs express transcription factors OCT4, SOX2, and NANOG, and surface markers SSEA-4 and TRA-1-60 and TRA-1-81 and their ability to differentiate into derivat
PMID 25304207