首页|基于奇异值测度和颜色纹理的图像块特征向量

基于奇异值测度和颜色纹理的图像块特征向量

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
Image block feature vectors based on a singular-value information metric and color-texture description
In this work,image feature vectors are formed for blocks containing sufficient information,which are selected using a singular-value criterion.When the ratio between the first two SVs are below a given threshold,the block is considered informative.A total of 12 features including statistics of brightness,color components and texture measures are used to form intermediate vectors.Principal component analysis is then performed to reduce the dimension to 6 to give the final feature vectors.Relevance of the constructed feature vectors is demonstrated by experiments in which k-means clustering is used to group the vectors hence the blocks.Blocks falling into the same group show similar visual appearances.

image featurecolortexturecontent-based image retrieval(CBIR)image hashing

王朔中、路兴、苏胜君、张新鹏

展开 >

School of Communication and Information Engineering,Shanghai University,Shanghai 200072,P.R.China

image feature color texture content-based image retrieval(CBIR) image hashing

国家自然科学基金上海市青年科技启明星计划Key Project of Shanghai Municipality for Basic Research

6050203906QA1402204JCl4037

2007

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2007.11(3)
  • 4
  • 11