Earticle

초록

영어

Due to the obvious advantages, the technology of medical imaging has been widely utilized in the medical areas. Commonly, the medical images of different imaging mechanism are able to guide the radiologist for the precise diagnosis of disease and for more effective interventional treatment procedures. Consequently, the fusion of different medical images of the same scene is necessary. This paper proposes a novel fusion technique for medical images based on non-subsampled contourlet transform (NSCT). Due to the better competence of image information capturing, NSCT is utilized to conduct the multi-scale and multi-directional decompositions of source images. In addition, the models of both region average energy and region coefficient deviation are used for the fusion for low-frequency sub-images and high-frequency ones, respectively. In comparison with several current typical fusion techniques, the proposed one has remarked superiorities in terms of both subjective and objective evaluations.

목차

Abstract
 1. Introduction
 2. Non-Subsampled Contourlet Transform
 3. Proposed Fusion Rules
  3.1. Fusion of Low-Frequency Sub-Images
  3.2. Fusion of High-Frequency Sub-Images
 4. Experimental Results and Analysis
  4.1. Experimental Condition
  4.2. Experimental Results and Analysis
  4.3. Discussions
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Niu Ling [ Zhou Kou Normal University, Zhoukou 466001, China ]
• Qi Yingchun [ Zhoukou Normal University, Zhoukou Henan Province, 466001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605