Earticle

초록

영어

During the image edge detection with mathematical morphology, using single form and single scale of structural element will lose the information of other forms of elements. And the ability of anti-noise is weak. An adaptive algorithm for image edge detection based on multi-structural and multi-scale is proposed in this paper. For single form of structural element, we add weight coefficients on each result of different scale elements according to the inverse ratio of information entropy. For single scale of structural element, we add weight coefficients on each result of different form elements according to the direct ratio of information entropy. At last, we construct a series-parallel form of edge detector according to the algorithm process and get the final edge image after the fusion of edge images. The experiment shows that the improved algorithm not only can retain rich edge information but also has good performance to remove the noise.

목차

Abstract
 1. Introduction
 2. The Modeling of Mathematical Morphology in Edge Detection
 3. The Improved Algorithm of Edge Detection
  3.1. Theory of the Improved Algorithm
  3.2. The Description of the Algorithm
 4. The Results and Analysis of Simulation
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Xiufang Wang [ Northeast Petroleum University School of Electrical Engineering & Information, Daqing, China ]
• Xingyuan Zhang [ Northeast Petroleum University School of Electrical Engineering & Information, Daqing, China ]
• Running Gao [ 180 w. big springs rd. apt.23, Riverside, California, PC: 92507 ]

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