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文章基本信息

  • 标题:Content Based Image Retrieval Using Color and Texture
  • 本地全文:下载
  • 作者:Manimala Singha ; K. Hemachandran
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2012
  • 卷号:3
  • 期号:1
  • 页码:39
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The increased need of content based image retrieval technique can be found in a number of differentdomains such as Data Mining, Education, Medical Imaging, Crime Prevention, Weather forecasting,Remote Sensing and Management of Earth Resources. This paper presents the content based imageretrieval, using features like texture and color, called WBCHIR (Wavelet Based Color Histogram ImageRetrieval).The texture and color features are extracted through wavelet transformation and colorhistogram and the combination of these features is robust to scaling and translation of objects in animage. The proposed system has demonstrated a promising and faster retrieval method on a WANG imagedatabase containing 1000 general-purpose color images. The performance has been evaluated bycomparing with the existing systems in the literature.
  • 关键词:Image Retrieval; Color Histogram; Color Spaces; Quantization; Similarity Matching; Haar Wavelet;Precision and Recall.
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