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  • 标题:Wavelet-Based Color Histogram on Content-Based Image Retrieval
  • 本地全文:下载
  • 作者:Alexander Alexander ; Jeklin Harefa ; Yudy Purnama
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2018
  • 卷号:16
  • 期号:3
  • 页码:1256-1263
  • DOI:10.12928/telkomnika.v16i3.7771
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 其他摘要:The growth of image databases in many domains, including fashion, biometric, graphic design, architecture, etc. has increased rapidly. Content Based Image Retrieval System (CBIR) is a technique used for finding relevant images from those huge and unannotated image databases based on low-level features of the query images. In this study, an attempt to employ 2nd level Wavelet Based Color Histogram (WBCH) on a CBIR system is proposed. Image database used in this study are taken from Wang’s image database containing 1000 color images. The experiment results show that 2nd level WBCH gives better precision (0.777) than the other methods, including 1st level WBCH, Color Histogram, Color Co-occurrence Matrix, and Wavelet texture feature. It can be concluded that the 2nd Level of WBCH can be applied to CBIR system.
  • 关键词:CBIR;wavelet;color histogram
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