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  • 标题:An Experiential Survey on Image Mining Tools, Techniques and Applications
  • 本地全文:下载
  • 作者:C. Lakshmi Devasena ; T.Sumathi ; Dr. M. Hemalatha
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:3
  • 页码:1155-1167
  • 出版社:Engg Journals Publications
  • 摘要:Digitization in every sector leads to the growth of digital data in a tremendous amount. Digital data are not only available in the form of text but it is also available in the form of images, audio and video. Decision making people in every field like business, public sector, hospital, etc. are trying to get useful and implicit information from the already existing digital data bases. Image mining is the concept used to extract implicit and useful data from images stored in the large data bases. Image mining is used in variety of fields like medical diagnosis, space research, remote sensing, agriculture, industries and even in the educational field. This paper elaborates the research works already done in image mining and also summarizes different tool developed, algorithms emerged and the applications of image mining used to extract the useful images in various fields.
  • 关键词:Image Mining for WWW; Mining Color Images; Medical Diagnosis.
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