摘要
各种基于内容的图像检索算法经过近10a的研究已趋于成熟,但其多用诸如颜色、文理、形状、轮廓等底层特征,缺少高层的语义知识支持,导致检索结果不够理想。本文旨在通过对数据仓库和几种数据挖掘工具的分析研究,探索实现海量的、非结构化的图像数据组织的方法,并选择合适的工具对图像进行挖掘,获得图像语义知识,实现图像自动语义检索。
A method to organize images which are not well structured based on data mining was presented. analyzing data warehouse and data mining tools, the proper tools were selected to mine the images information and the images semantic knowledge were got, thus, image semantic classification and retrieval were realized automatically.
出处
《内蒙古农业大学学报（自然科学版）》
CAS
2005年第1期101-103,共3页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
