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中国图像工程:2013
引用本文:章毓晋.中国图像工程:2013[J].中国图象图形学报,2014,19(5):649-658.
作者姓名:章毓晋
作者单位:清华大学电子工程系, 北京 100084
基金项目:国家自然科学基金和教育部高等学校博士学科点专项科研基金
摘    要:该文是关于中国图像工程的年度文献综述系列之十九。为了使国内广大从事图像工程研究和图像技术应用的科技人员能够较全面地了解国内图像工程研究和发展的现状,并能够方便地查询有关文献,现从2013年在国内15种有关图像工程重要中文期刊的共140期上所发表的2986篇学术研究和技术应用文献中,选取出716篇属于图像工程领域的文献,并根据各文献的主要内容将其分别归入图像处理,图像分析,图像理解,技术应用和综述5个大类,然后进一步分入23个专业小类(与前8年相同)。在此基础上还分别进行了各期刊各类文献的统计和分析。根据统计分析结果可看到我国图像工程在2013年许多新进展的情况。

关 键 词:图像工程  图像处理  图像分析  图像理解  技术应用  文献综述  文献统计  文献分类  文献计量学
收稿时间:3/3/2014 12:00:00 AM
修稿时间:3/3/2014 12:00:00 AM

Image Engineering in China 2013
Zhang Yujin.Image Engineering in China 2013[J].Journal of Image and Graphics,2014,19(5):649-658.
Authors:Zhang Yujin
Affiliation:Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Abstract:This is the nineteenth in the annual survey series of the yearly bibliographies on image engineering in China. The purpose of this survey work is mainly to capture the up-to-date development of image engineering in China, to provide a convenient means of literature searching facility for readers working in related areas, and to supply a useful reference for the editors of journals and potential authors of papers. Considering the wide distribution of related publications in China, 716 references on image engineering research and technique are selected carefully from 2986 research papers published in 140 issues of a set of 15 Chinese journals. These 15 journals are considered as important journals in which papers concerning image engineering have higher quality and are relatively concentrated. Those selected references are classified first into 5 categories (image processing, image analysis, image understanding, technique application and survey), and then into 23 specialized classes according to their main contents (same as the last 8 years). Some analysis and discussions about the statistics made on the results of classifications by journal and by category are also presented, respectively. This work shows a general and off-the-shelf picture of the various progresses of image engineering in China in 2013.
Keywords:image engineering  image processing  image analysis  image understanding  technique application  literature survey  literature statistics  literature classification  bibliometrics
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