摘要
该文是关于中国图象工程的年度文献综述系列之八 .为了使国内广大从事图象工程研究和图象技术应用的科技人员能够较全面地了解国内图象工程研究和发展的现状 ,并能够方便地查询有关文献 ,现从国内 15种有关图象工程重要中文期刊 2 0 0 2年出版的共 10 8期上发表的 2 4 2 6篇学术研究和技术应用文献中 ,选取出 5 4 5篇属于图象工程领域的文献 ,然后根据各文献的主要内容将其分别归入图象处理、图象分析、图象理解、技术应用和综述 5个大类 ,又进一步分入 2 1个小类 ,并在此基础上进行了文献统计和分析 .由统计分析结果可见 ,中国图象工程在2 0 0 2年又有了许多新进展 ,除总的文献数量有较大增加 ,图象分割和图象编码仍有许多研究成果外 ,近年来的几个新的研究热点 ,如成像技术、图象数字水印、人脸和器官检测、图象匹配融合、图象和视频检索等继续保持了快速发展的势头 .
This is the eighth in the 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 reference for the editors of journals and potential authors of papers. Considering the wide distribution of related publications in China, 545 image engineering research and technique references are selected carefully from 2426 research papers published in 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 21 classes according to their main contents. Some analysis and discussions about the statistics made on the classification results are also presented. This work shows a general and off-the-shelf picture of the various progresses of image engineering in China. In 2002, the number of research papers in image engineering has a considerable increase. Except 'traditional' image segmentation and image coding, new research areas, such as image formation techniques, digital image watermarking, human face and organ detection, image matching and information fusion, and image and video retrieval are still in fast progresses.
出处
《中国图象图形学报（A辑）》
CSCD
北大核心
2003年第5期481-498,共18页
Journal of Image and Graphics
基金
国家自然科学基金 (60 172 0 2 5 )
教育部高等学校博士学科点专项科研基金 (RFDP-2 0 0 2 0 0 0 3 0 11)
