首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:Radial Basis Function used in CBIR for SIFT Features
  • 本地全文:下载
  • 作者:Shraddha Kumar ; Shweta Singhal ; Ankita Sharma
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:4
  • 出版社:S.S. Mishra
  • 摘要:The traditional information retrieval techniques does not meet the user's demand, so there is need to develop an efficient system for content based image retrieval (CBIR). In this paper method is proposed for an efficient CBIR system using Radial basis function (RBF) which can give better results than other existing CBIR. The proposed system use the Scale Invariant Feature Transform (SIFT) to extract the feature from the database. Illumination changes does not affect the system performance due to these SIFT features. These features generate keypoints. The distances between feature vectors of database and the query image are computed using the classifier RBF.
  • 关键词:Image retrieval; Object Recognition; CBIR; SIFT; RBF
国家哲学社会科学文献中心版权所有