Earticle

초록

영어

Mutual information based medical image registration is one of the most common registration method in registration domain currently. This paper studies the mutual information of the calculation process for mutual information calculation speed is slow, low efficiency of registration, registration can not meet real-time requirements, an improved gray compression algorithm, by reducing the gray-scale of images to improve image the registration efficiency and gradient similarity combined with mutual information as a new registration measure, so that the registration in improving efficiency while meeting the requirement of registration accuracy. The comparative experiments this article made show that, under the premise of registration accuracy to ensure that the method can significantly improve the speed of image registration.

목차

Abstract
 1. Introduction
 2. The Principle of Medical Image Registration
 3. The Improved Computational Algorithm of Mutual Information
  3.1. Histogram Method to Calculate the Mutual information
  3.2. The Improved Gray-Scale Compression Algorithms
  3.3. The Result of Gray-Scale Compression
 4. Combining the Gradient Similarity with Mutual Information as the Registration Measure
 5. Experiments and Analysis
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Xumin Liu [ College of Information Engineering Capital Normal University, Beijing 100048, P. R. China ]
• Zilong Duan [ College of Information Engineering Capital Normal University, Beijing 100048, P. R. China ]
• Weixiang Xu [ School of Traffic and Transportation Beijing Jiaotong University, Beijing 100044, P.R. 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