Earticle

초록

영어

A novel local region-based active contour model is proposed to segment medical images with intensity inhomogeneities and various noises. The contribution of the proposed work is twofold. First, the anisotropy of evolution contours is exploited to characterize the local classification information around each pixel. Integrating it with local gray intensity information, the new model stabilizes the active contours in all evolving processes. Second, under the constraint of maximum absolute error of parameter estimation, the optimal spatial scales are automatically selected for the local segmentation models. It is demonstrated from the experiments that our algorithm achieves faster and more robust results than several same-type methods.

목차

Abstract
 1. Introduction
 2. LIF Model
 3. New Local Region Based Model
 4. Scale Selection
 5. Experimental Results
 6. Conclusion
 References

키워드

저자

• Xiaozhen Xie [ College of Science, Northwest A&F University, Yangling, PR China ]
• Xiaoning Hu [ College of Science, Northwest A&F University, Yangling, PR China ] Corresponding Author
• Bo Yang [ School of Electronic and Information Engineering, Beihang University, Beijing, PR 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