Earticle

초록

영어

In image processing wavelet transform methods are known to provide efficient schemes for detecting edges and reducing noise. However, they are unable to differentiate between noise and small details and therefore remove the small details resulting in the formation of oscillations around edges. Methods based on isotropic nonlinear equations have been used to enhance edges in images and to reduce oscillations around the edges but are not capable of removing noise effectively around them. In this paper, we solve the isotropic nonlinear equation in a geometric transform space and thereby reducing both noise and oscillations around the edges. The proposed synergic method combines the advantages of both techniques. The numerical experiments involve the investigation of two-dimensional geometric transforms in the detection of edges in noisy images.

목차

Abstract
 1. Introduction
 2. The Isotropic Nonlinear Equation
 3. Wavelet Multiresolution Analysis
  3.1. Daubechies Wavelets
  3.2.Two-dimensional Geometric Transforms
 4. The Adaptive Multilevel Method
 5. Results
 6. Conclusion
 References

키워드

저자

• Kossi Edoh [ Department of Mathematics, NC A&T State University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605