원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.4
2016.04
pp.435-442
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보
