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文章基本信息

  • 标题:Research on Image Retrieval Technology Based on Fast Wavelet Transform
  • 本地全文:下载
  • 作者:Liu Shuang ; Yu Xiaoyang ; Xiao Zhenyu
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:4
  • 页码:1-6
  • DOI:10.14257/ijhit.2015.8.4.01
  • 出版社:SERSC
  • 摘要:In present research, the image feature based on adaptive wavelet has been widely used in the content-based image retrieval field. However, there is a common problem in these methods, which is to describe different query images with the same wavelet basis. In order to improve the adaptability of the image retrieval technology, we design different image basis for different query images, to achieve characterizing the feature-changing of different image categories with the adjustable distance measure. We also use the approximate Taylor expansion to reduce the seeking time of the characterization image and the characterization derivative image. As the experimental results have shown that, the new image retrieval technology with high adaptability can improve the retrieval performance greatly.
  • 关键词:image retrieval; wavelet transform; wavelet basis; adaptive
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