Earticle

초록

영어

The traditional Snake model and GVF-Snake model set high requirements on noise and initial contour in wood cell contour extraction. To solve this problem, on the premise of considering the image texture and gray-scale information, the area information is directly introduced into the active contour extraction model through force equilibrium equation. Experiments show that the contour extracted with this method is not only more close to real cell contour, but also improved in anti-noise property. In particular, in the convergence of high noise and deep sunken areas, it has some advantages not found in other traditional methods.

목차

Abstract
 1. Introduction
 2. Snake Contour Model
 3. The Contour Extraction Model based on Image Texture and Gray-scale Information
  3.1. Image Brightness and Texture Features
  3.2. Texture Features
  3.3. The Area Energy based on the Area Gray-scale of Images
  3.4. The Area Force and Algorithm Principle based on the Green's Formula
 4. Analysis of the Experimental Results
  4.1. The Extraction of the Image Contour with Sunken Features
  4.2. The Extraction of Image Contours Affected by Different Noises
  4.3. The Extraction of Wood Slice Microscopic Cell Image
  4.4. The Analysis of the Effect of the Algorithm
 5. Conclusion
 References

키워드

저자

• Zhao Lei [ Heilongjiang International University, Harbin, China ]
• Wang Jianhua [ Harbin normal University, Harbin, China ]
• Li Xiaofeng [ Heilongjiang International University, Harbin, 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