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  • 标题:Content Base Image Retrieval using Combination of Colour, Shape and Texture Features: A Meta- Analysis
  • 本地全文:下载
  • 作者:Bhagyashri Amrutka ; Lokesh Singh
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:5
  • 页码:4327-4330
  • 出版社:TechScience Publications
  • 摘要:Efficient image retrieval from huge database is a major research area and trending now days. It is a part of Content Base Image Retrieval (CBIR). There are several works had been already proposed but still there is the need of efficient retrieval techniques. It became more important as the diversity of these techniques is very wide like in data mining, medical image processing, education, crime reporting etc. So our paper main motivations are in the direction of finding the leads in the previous techniques which can be collaborative more important and provide better and efficient image retrieval. We have also analyses these techniques and suggest some future suggestions. We have also discussed the discriminative indexing power as well as the dominant colour extraction. Our discussion is focused on Colour, Shape and Texture Features.
  • 关键词:CBIR; Content Retrieval; Colour; Shape and;Texture
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