本文是关于中国图像工程的年度文献综述系列之二十五。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更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2019年度图像工程相关文献进行了统计和分析。从国内15种图像工程相关重要中文期刊在2019年发行的共148期上所发表的2 854篇学术研究和技术应用文献中，选取出761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14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。另外，还将这25年从这15种期刊的共2 964期上所发表的65 040篇学术研究和技术应用文献中所选取出的15 856篇属于图像工程领域的文献分成5个五年的阶段，分别对5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。根据对2019年统计数据的分析可看出：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最为活跃。根据对25年统计数据的比较可看出：图像处理、图像分析、图像理解和技术应用4个大类中都有一些小类的文献数量保持领先，但也有一些小类的文献数量逐步减少，反映了不同研究方向这些年来的变化情况。中国图像工程在2019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。综合25年的统计数据为读者提供了更全面和更可信的各研究方向发展趋势信息。

This is the 25th 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. Considering the wide distribution of related publications in China, 761 references on image engineering research and technique are selected carefully from 2 854 research papers published in 148 issues 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 14 years). Analysis and discussions about the statistics of the results of classifications by journal and by category are also presented. In addition, as a roundup of the quarter of a century for this review series, the 15 856 articles in the field of image engineering selected from 65 040 academic research and technical applications published in a total of 2 964 issues over the past 25 years are divided into five periods of five-years, comprehensive statistics and analysis were made on the selection of image engineering literature and the number of image engineering literatures in each category and in each class. Analysis on the statistics in 2019 shows that image analysis is receiving the most attention, in which the focuses are on object detection and recognition, image segmentation and edge detection, and object feature extraction and analysis. The studies and applications of image technology in various areas, such as remote sensing, radar, and mapping, are continuously active. According to the comparison of 25 years of statistical data, it can be seen that the number of literatures in some classes of the four categories of image processing, image analysis, image understanding, and technology applications has kept ahead, but there are also some classes that the numbers are gradually decreasing, reflecting changes in different research directions over the years. This work shows a general and op-to-date picture of the various progresses, either for depth or for width, of image engineering in China in 2019. The statistics for 25 years also provide readers with more comprehensive and credible information on the development trends of various research directions.