摘要
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征,检索效果往往不够理想。基于综合特征的图像检索应用日益广泛,本文在图像特征向量和在某特征上的相似距离的归一化方面进行了一定的探讨与研究,给出了一种综合特征归一化方法,并将其作为两图像相似性度量依据。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship etc, so the result is usually not very good. Today, the integrated features Based Image Retrieval is more and more popular. In this paper, normalization of image eigenvector and similarity distance based on a feature are studied and discussed, a method on normalization of Integrated features is also put forward, it is the basis of similarity measure in two images.
出处
《潍坊学院学报》
2006年第2期43-45,共3页
Journal of Weifang University
关键词
基于内容图像检索
相似性度量
归一化
Content Based Image Retrieval,Similarity Measures,normalized unit
