摘要
随着数字图象技术、宽带网络技术和数字存储设备技术的发展,在网络上存储、传输大规模分布式数字图象库成为可能,因此研究基于内容的图象检索技术成为近几年的热点。实现基于内容的图象检索系统的关键问题是实现图象的语义分割。该文分六类对现有的图象语义分割技术进行了全面的总结,为进一步研究基于内容的图象检索技术奠定了基础。
Recent developments in digital imaging technology,broadband networking and digital storage devices have set the stage for the generation,transmittal,manipulation and storage of large-scale distributed digital image database on the network.To access these image databases automatically and on demand requires the system of content-based image retrieval(CBIR).One of the key technologies in CBIR system is the image semantic segmentation.This paper surveys the techniques for image semantic segmentation and classify all the new techniques into six categories.It lays a foundation for the research of CBIR system.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第21期114-117,共4页
Computer Engineering and Applications
关键词
CBIR系统
图象语义分割
图象检索
聚集技术
直方图技术
计算机
区域增长技术
Content-based Image Retrieval,Image Semantic Segmentation,Clustering Technology,Histogram Technology,Split and Merge Technology,Region Growing Technology,Edge Detector,Physics-based Technology
