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  • 标题:Corner Detection using Curvelet and Harris Algorithm
  • 本地全文:下载
  • 作者:Mahesh ; Dr. M. V. Subramanyam
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:1Ver 3
  • 出版社:Ayushmaan Technologies
  • 摘要:This paper proposes a new corner detection algorithm using;curvelet and Harris algorithm which finds rotation and scale;invariant features. The curvelet is a wavelet transform designed;to represent images at different scales and high degree of;directionality and anisotropy. Corners are important features in;a computer vision for object recognition; stereo matching; and;motion tracking. These corners are referred as control points or;interest points for image registration. In this paper; we examine;Harris; SUSAN and propose corner detectors and compare their;performance in terms of consistency.
  • 关键词:Corner Detection; Curvelet; Directionality; Anisotropy; Image;Registration; Harris; SUSAN; Consistency
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