首页    期刊浏览 2025年07月16日 星期三
登录注册

文章基本信息

  • 标题:Informational and Spectral Techniques in Boundary Detection
  • 本地全文:下载
  • 作者:Catalina COCIANU ; Luminita STATE
  • 期刊名称:Economy Informatics
  • 印刷版ISSN:1582-7941
  • 出版年度:2001
  • 卷号:I
  • 期号:1
  • 出版社:INFOREC Association
  • 摘要:The paper reports the results of the research focused on the developement of a suitable methodology in solving boundary detection problems. The feature extraction attempts in image processing are based on using different picture information measures (PIM). The algorithm BDPIM presented in the second section of the paper is formulated in terms of the NPIM and DM measures. A new technique, combining the information measure NPIM and the spectral power, yields to the algorithm DBSP-PIM presented in the third section. The experimental results and conclusive remarks are provided in the final section.
  • 关键词:spectral power; picture information measure; histogram; DFT.
国家哲学社会科学文献中心版权所有