Earticle

초록

영어

To improve the accuracy of digital image edge detection, an ENO nonlinear fourth-order interpolation based subpixel edge detection algorithm was proposed in this paper. A stencil was constructed through classical Canny operator, followed by processing gray images to generate gradient images. ENO nonlinear fourth-order interpolation was applied in the gradient direction of target edges, and then subpixel subdivision computation was performed to obtain subpixel accurate locations of target edges, the performance of our edge detection algorithm was compared with that of centered cubic convolution and non-centered cubic convolution based edge detection methods. Simulation results demonstrated that the ENO based interpolation detection algorithm improved the abilities of detecting image edges.

목차

Abstract
 1. Introduction
 2. Description the Edge detection and ENO interpolation algotithm
  2.1. Edge detection algorithm
  2.2. ENO interpolation algorithm
 3. ENO interpolation based subpixel edge detection
  3.1. ENO based non-linear fourth-order interpolation algorithm
  3.2. Sub-pixel Edge detection steps
 4. Simulation
 5. Conclusion
 Acknowledgment
 References

키워드

저자

• Wu Peng [ College of Mechanical and Electronic Engineering, Northeast Forestry University, Harbin, 150040, China ]
• Li Wenlin [ College of Mechanical and Electronic Engineering, Northeast Forestry University, Harbin, 150040, China ]
• Song Wenlong [ College of Mechanical and Electronic Engineering, Northeast Forestry University, Harbin, 150040, China ]
• Cao Jun [ College of Mechanical and Electronic Engineering, Northeast Forestry University, Harbin, 150040, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605