Earticle

초록

영어

The subject of this paper is the segmentation of multiple objects from images based on 6the parameter active contour model (PACM). After analyzing application of the parameter active model to segment multiple objects, the evolution strategies and disadvantages of existing methods are presented. This paper proposes that the key points are two parts in detecting multiple objects with the PACM in the shrinking strategy. One key point includes the split time where contours appear as self-crosses, and the split algorithm of contours. The other key point is to maintain the uniform distribution of sampling points on contours in order to match the shapes of objects in segmenting. A new algorithm for detecting self-crosses is presented, and the results show that the new algorithm is faster than the other algorithm. The problem where vertexes on contours are sampled to match the shapes of objects in segmenting is studied, and its solution is presented.

목차

Abstract
 1. Introduction
 2. Current Studies on Segmentation of Multiple Objects with Parameter Active Contour Model
 3. Time and Treatment of Contour Split in Parameter Active Contour Model
  3.1. Contour Self-cross and Application in Splitting Contours
  3.2. Self-Cross Detection
  3.3. Splitting Contours
 4. Discussion on Approach for Object Shape with Contours
 5. Conclusion
 References

키워드

저자

• Liu Hongshen [ Anhui University of Technology, China ]
• Wang Nan [ Anhui University of Technology, China ]
• Zhang Xuefeng [ Anhui University of Technology, 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