Earticle

초록

영어

The edge detection is usually used for controlling the automation of pattern recognition in intelligent machines, traffic control and mobile devices security systems. Due to the complex of image control, the dimensions are increasing so that the single wavelet is not able to address some applications, thus, high-dimensional wavelet basis is needed. This paper introduces a construction of dual wavelet for fulfilling the gap. A dual wavelet through the compactly support set/functions which can form the Riesz basis is built up. Based on the mathematic presentation of the construction of the dual wavelet, which is a dual orthogonal with scale function and duality, the constructed dual wavelet is used for an application testing with fingerprint. The proposed approach is compared with Sobel and Canny filter. It is observed that from the results, the proposed dual wavelet outperforms the Sobel and Canny filter in terms of effectiveness and computation time.

목차

Abstract
 1. Introduction
 2. Dual Wavelet
 3. Construction of Dual Wavelet
  3.1 Scaling Function
  3.2 Validation of H(Z1, Z2)
  3.3 Duality of the Constructed Wavelet
 4. Applications of the Constructed Dual Wavelet in Image Edge Detection
 6. Conclusions
 References

키워드

저자

• Yubin Li [ Gannan Normal University, Ganzhou, China ]

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