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  • 标题:R-Tree Implementation of Image Databases
  • 本地全文:下载
  • 作者:Chandresh Pratap Singh
  • 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:2011
  • 卷号:2
  • 期号:4
  • 页码:89
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:With the onslaught of multimedia in the near past, there has been a tremendous increase in the uses ofimages. A very good example of which is the web on which most of the documents contain images. Otherthan this the images are being used in other applications like weather forecasting, medical diagnosis,police department. In R-Tree implementation of image database, images are made available to the programwhich are then stores in the database. The image database is presented using R-tree and the database isstored in separate file .This R-tree implementation results in both update as well as efficient retrieval ofimages from hard disk [1][2][4]. We use the similarity based retrieval feature to retrieve the requirednumber of similar images being inquired by the user [3][5][6]. Distance matrix approach is used to findsimilarity of images [7]. Sobel edge detection algorithm is used to form sketches. If sketch of image isentered for similarity based retrieval, then sketches of stored images are formed and these sketches arecompared with input image (sketch) using distance matrix approach[8][9].
  • 关键词:R-Tree; Image Database; Distance Matrix; Sobel Edge Detection.
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