摘要
本文提出一种新颖的基于内容的图象检索方法,基于运动子块分割并根据视觉特性对不同区域做不同的加权,比较各子块相似度,分析相似度矩阵,并检索查询物体。通过将图象分割细化,充分利用了原图的颜色位置信息通过实验,实现了对特定物体进行检索。该物体检索方法可进一步发展,为特定的后续处理奠定基础,如在人脸识别等功能中发挥重要作用。
Content-based image retrieval (CBIR) has become an important research field in multimedia information processing.In this paper,we present a novel CBIR algorithm based on running sub-blocks with different similarity weights. By splitting the entire image into sbu-blocks,we use color-layout information to retrieval images under the query of special object.Further more,after retrieval,some post-processing can be incorporated to enhance the CBIR systems for other applications.
出处
《电路与系统学报》
CSCD
2002年第1期47-51,共5页
Journal of Circuits and Systems
关键词
区域
动态分块图像检索
图像索引
图像数据库
颜色直方图
颜色空间关系
Image Retrieval
Image Indexing
Image Database
Color Histogram
Color Spatial Information. China Library Classification Code:TN911.73 Literature Identification:A
