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中国图像工程:2014

章毓晋(清华大学电子工程系, 北京 100084)

摘 要
目的 该文是关于中国图像工程的年度文献综述系列之二十.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,能够方便地查询有关文献,且向期刊编者和作者提供有用的参考,对2014年度图像工程重要文献进行了综述分析.方法 从2014年在国内15种有关图像工程重要中文期刊的共148期上所发表的3 103篇学术研究和技术应用文献中,选取出822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9年相同),并在此基础上分别进行了各期刊各类文献的统计和分析.另外,借此综述系列20年之际,还将这20年从共2 224期上所发表的50 478篇学术研究和技术应用文献中所选取出的12 126篇属于图像工程领域的文献分成4个5年的阶段,分别对4个阶段的图像工程文献的选取情况以及各大类和各小类图像工程文献的数量进行了综合统计和对比分析.结果 根据对2014年统计数据的分析可看出:图像增强和恢复等处理技术仍然得到较多关注,图像分割和边缘检测仍然是图像分析中的一个焦点,图像获取的文献数量有明显增加,图像匹配融合及其在遥感测绘的应用再次成为热点.另根据对20年统计数据的比较可看出:有7个小类的文献数量基本一直保持增加,有3个小类的文献数量逐步在减少,其余小类的文献数量仍在起伏变化中.结论 我国图像工程的研究深度和广度2014年仍在提高和扩大,保持了快速进展的势头.综合20年的统计数据为读者提供了更全面和可信的各方向发展趋势信息.
关键词
Image engineering in China: 2014

Zhang Yujin(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)

Abstract
Objective This is the twentieth 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 recommandation for the editors of journals and potential authors of papers.Method Considering the wide distribution of related publications in China, 822 references on image engineering research and technique are selected carefully from 3 103 research papers published in 148 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 9 years). Some analysis and discussions about the statistics made on the results of classifications by journal and by category are also presented, respectively. Besides, taking this opportunity the 12 126 references on image engineering research and technique, selected from 50 478 research papers published in past 20 years, are divided into four “five-year” periods, and a comparative analysis for the selection of papers concerning image engineering as well as for the numbers of selected references belonging to each category and each class is conducted.Result According to the analysis on the statistics in 2014, it seems that image techniques for enhancement and restoration are still obtaining many attentions, image segmentation is yet a focus in image analysis, the numbers of references on image acquisition increases a lot, and image matching and fusion as well as their applications in remote sensing and survey mapping become a hot point again. Following the comparison of all statistics in 20 years, it can find that the numbers of references for 7 classes are almost increasing every year, 3 classes are about decreasing progressively recently, while other classes are changing with ups and downs.Conclusion This work shows a general and off-the-shelf picture of the various progresses, either for depth or for width, of image engineering in China in 2014. The statistics for 20 years provides even more complete and reliable information for the tendency and development.
Keywords

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