本文是关于中国图像工程的年度文献综述系列之二十八。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，本文对2022年度发表的图像工程相关文献进行了统计和分析。具体从国内15种有关图像工程重要中文期刊在2022年发行的所有154期上所发表的学术研究和技术应用文献（共3 096篇）中，选取出所有属于图像工程领域的文献（共908篇），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17年相同），并在此基础上分别进行了各期刊及各类文献的统计和分析。根据对2022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、图像分割和基元检测等都是研究的焦点。此外，遥感、雷达、声呐、测绘以及生物、医学等领域的图像技术开发和应用最为活跃。另外，图像工程技术正在不断拓展新的应用领域，未来新的应用小类有可能还会增加。总的来说，中国图像工程在2022年的研究深度和广度还在继续提高和扩大，仍保持了快速发展的势头。综合28年的统计数据还为读者提供了更全面和更可信的各个研究方向发展趋势的信息。

This is the 28th annual survey series of bibliographies on image engineering in China. This statistic and analysis study aims to capture the up-to-date development of image engineering in China，provide a targeted means of literature searching facility for readers working in related areas，and supply a useful recommendation for the editors of journals and potential authors of papers. Specifically，considering the wide distribution of related publications in China，all references （908）on image engineering research and technique are selected carefully from the research papers（3 096 in total）published in all issues（154）of a set of 15 Chinese journals. These 15 journals are considered important，in which papers concerning image engineering have higher quality and are relatively concentrated. The selected references are initially classified into five categories（image processing，image analysis，image understanding，technique application，and survey）and then into 23 specialized classes in accordance with their main contents（same as the last 17 years）. Analysis and discussions about the statistics of the results of classifications by journal and by category are also presented. Analysis on the statistics in 2022 shows that the direction of image analysis has received the most attention at present，among which object detection and recognition，image segmentation and primitive detection are the focus of research. Besides，the development and application of image technology in remote sensing，radar，sonar and mapping，as well as biology and medicine fields are the most active. In addition，image engineering technology is constantly expanding new application fields，new application categories may be increased in the future. In conclusion，this work shows a general and up-to-date picture of the various continuing progresses，either for depth or for width，of image engineering in China in 2022. The statistics for 28 years also provide readers with more comprehensive and credible information on the development trends of various research directions.