首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Sub-Pixel Edge Detection Using Pseudo Zernike Moment
  • 本地全文:下载
  • 作者:Amandeep Kaur ; Chandan Singh
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2011
  • 卷号:4
  • 期号:2
  • 出版社:SERSC
  • 摘要:Most of the sub-pixel edge detection methods proposed in literature are based on Ghosal and Mehrotra’s method which uses Zernike moments. Some research has been reported using Fourier-Mellin moments for sub-pixel edge detection. Pseudo Zernike moments have been proved to be superior to Zernike moments in terms of their feature representation capabilities and sensitivity to image noise. This paper proposes the use of Pseudo Zernike moments for sub-pixel edge detection. Testing of the proposed algorithm shows significantly better results than Zernike and Fourier-Mellin moment based methods in case of images corrupted with additative or multiplicative noise .
  • 关键词:sub-pixel edge detection; Pseudo Zernike moments; outer circle mapping;Fourier-Mellin moments
国家哲学社会科学文献中心版权所有