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  • 标题:A Survey on CBIR Features Extraction Techniques
  • 本地全文:下载
  • 作者:Jahnavi Shukla ; Jignesh Vania
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:12
  • 页码:9555-9559
  • 出版社:IJECS
  • 摘要:The need to find a desired image from large database is shared by many professionals. Because of many problems in textbasedimage retrieval, the new technology was introduced which is known as Content-Based Image Retrieval. Content-Based ImageRetrieval is an active research topic since the last decade. Image retrieval based on low level features like color, texture and shape iswide area of research scope. In this paper, all the methods of color, texture and shape features extraction is described. Researchers cancombine any of these methods and can get the highest precision and recall by testing different combinations
  • 关键词:CBIR; Content Based Image Retrieval; feature;extraction; low lever features
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