Earticle

초록

영어

Range image segmentation is one of the most common problem in the field of computer vision. In view of the defect about traditional range image segmentation methods, this paper introduces a new range image segmentation method based on snake active contour model (SCAM). First, this paper expresses the snake active contour model in the form of parameters, and illustrates the contour line data points inside and outside of the movement and pseudo code description of the motion of a point algorithm; then constructs energy function, pushing the Euler equation and discretization; finally gets the results by Cholesky decomposition. Numerical experiment results show that the method is accurate and efficient, of good effect and the segmentation results are consistent with human subjective visual perception.

목차

Abstract
 1. Introduction
 2. Basic Knowledge
  2.1. Region Segmentation Description
  2.2. Curve Evolution Mechanism
 3. Fundamental Principle
  3.1. Data Point Movement
  3.2. Construct Energy Function
  3.3. Numerical Solution
 4. Experimental Results
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Zhang Mei [ Information Institute, GUI Zhou University of Finance and Economics, Guiyang, Guizhou 550004, China ]
• Wen Jing Hua [ Information Institute, GUI Zhou University of Finance and Economics, Guiyang, Guizhou 550004, China ]
• Peng Xing Xing [ Information Institute, GUI Zhou University of Finance and Economics, Guiyang, Guizhou 550004, 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