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文章基本信息

  • 标题:Fuzzy Logic Based Texture, Queries for Image Retrieval System: An Analysis
  • 本地全文:下载
  • 作者:Avdhesh Kumar Tiwari ; Akash Awasthi
  • 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:1
  • 页码:661-663
  • 出版社:TechScience Publications
  • 摘要:In all the countries several organizations like Hospitals, Industries, Educational Institutes, Government Departments, Security and Research Agencies, etc are using various types of Image Processing Techniques liked authentication technique Biometrics Products, Citiscan, x-rays, ultrasounds, films, satellites communication and Traffic Control. In all these fields images are play very Curricles role. So the effective and efficient multimedia techniques are needed to store and retrieve these images fast and accurate. Images have many feature like Shape, Texture, Color etc which can extracted from any image can be store in the database. Tammura extraction technique is used to extract features from any image to make image database. A Novel Fuzzy Logic based CBIR System is proposed for the interpretation of texture based image query
  • 关键词:Tamura Feature ;Fuzzy Clustering Algorithm;CBIR etc.
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