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章毓晋(清华大学电子工程系, 北京 100084)

摘 要
目的 本文是关于中国图像工程的年度文献系列综述之二十三。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,能够有针对性地查询有关文献,且向期刊编者和作者提供有用的参考,对2017年度图像工程相关文献进行了统计和分析。方法 从国内15种有关图像工程重要中文期刊在2017年发行的共148期上所发表的2 932篇学术研究和技术应用文献中,选取出771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、技术应用和综述评论5个大类,然后进一步分入23个专业小类(与前12年相同),并在此基础上分别进行各期刊各类文献的统计和分析。结果 根据对2017年统计数据的分析可以看出:图像分析方向当前得到了最多的关注,其中目标检测和识别、图像分割和边缘检测、目标特性的提取分析都是关注的焦点。遥感、雷达、测绘等领域的图像技术研究和应用都最为活跃。结论 中国图像工程在2017年的研究深度和广度还在提高和扩大,仍保持了快速发展的势头。
Image engineering in China: 2017

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

Objective This is the twenty-third one in the annual survey series of the yearly important bibliographies on image engineering in China. The purpose of this statistic and analysis work is mainly to capture the up-to-date development of image engineering in China, to provide a targeted means of literature searching facility for readers working in related areas, and to supply a useful recommendation for the editors of journals and potential authors of papers. Method Considering the wide distribution of related publications in China, 771 references on image engineering research and technique are selected carefully from 2 932 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 12 years). Some analysis and discussions about the statistics made on the results of classifications by journal and by category are also presented, respectively. Result According to the analysis on the statistics in 2017, it seems that image analysis is getting the most attention, in which the focuses are mainly on object detection and recognition, image segmentation and edge detection, and object feature extraction and analysis. The researches and applications of image technology in the areas of remote sensing, radar and mapping are continuously very active. 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 2017.