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논문검색

An Image Sub-pixel Edge Detection Algorithm of Plant Roots Based on Non-linear Fourth-order Interpolation Method

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

저자정보

  • 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

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