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中国图像工程:2011
引用本文:章毓晋.中国图像工程:2011[J].中国图象图形学报,2012,17(5):603-612.
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:国家自然科学基金项目(61171118);教育部高等学校博士学科点专项科研基金项目(SRFDP-20110002110057)
摘    要:该文是中国图像工程的年度文献综述系列之十七。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,并能方便地查询有关文献,从2011年在国内15种有关图像工程重要中文期刊共134期上发表的3 215篇学术研究和技术应用文献中,选取出797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6年相同)。在此基础上还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中国图像工程在2011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:2011/3/29 0:00:00
修稿时间:4/8/2011 12:00:00 AM

Image engineering in China: 2011
Zhang Yujin.Image engineering in China: 2011[J].Journal of Image and Graphics,2012,17(5):603-612.
Authors:Zhang Yujin
Affiliation:Department of Electronic Engineering, Tsinghua University Beijing 100084, China
Abstract:This is the seventeenth annual in the survey series annual 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,797 references on image engineering research and technique are selected carefully from 3 215 research papers published in 134 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 6 years). Some analysis and discussions about the statistics made on the results of classifications by journal and by category are also presented. This work shows a general and off-the-shelf picture of the various progresses of image engineering in China in 2011.
Keywords:image engineering  image processing  image analysis  image understanding  technique application  literature survey  literature statistics  literature classification  bibliometrics
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