Earticle

초록

영어

In this paper, for wavelet modulus maxima edge detection affected by noise largely, we propose an improved image fusion algorithm. Firstly, wavelet denoising and smoothing filter are conducted on the original image. Secondly, making edge detection with wavelet transform modulus maxima edge detection and improved canny edge detection get each of edge detection images. Thirdly, let the wavelet fusion follow some certain fusion rules. Finally, making the inverse wavelet transform reconstruct the fused image. The experimental results show that the fused image combines the advantages of edge detection methods, which is an effective image edge detection method.

목차

Abstract
 1. Introduction
 2. The improved Canny Edge Detection Algorithm
 3. The Improved Algorithm of this Paper
  3.1. The Basic Principle of Improved Algorithm
  3.2. The Concrete Implementation Steps of the Improved Algorithm
  3.3. Simulation and Experimental Analysis of Improved Algorithm
 4. Conclusion
 Acknowledgement
 References

키워드

저자

• Xumin Liu [ College of Information Engineering Capital Normal University, Beijing 100048, P. R. China ]
• Zilong Duan [ College of Information Engineering Capital Normal University, Beijing 100048, P. R. China ]
• Xiaojun Wang [ College of Information Engineering Capital Normal University, Beijing 100048, P. R. China ]
• Weixiang Xu [ School of Traffic and Transportation Beijing Jiaotong University, Beijing 100044, P.R. 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