Earticle

초록

영어

Image registration is a vital problem in medical imaging. It has many potential applications in clinical diagnosis (Diagnosis of cardiac, retinal, pelvic, renal, abdomen, liver, tissue etc disorders). It is a process of aligning two images into a common coordinate system thus aligning them in order to monitor subtle changes between the two. Registration algorithms compute transformations to set correspondence between the two images the purpose of this paper is to provide a comprehensive review of the existing literature available on Image registration methods. We believe that it will be a useful document for researchers longing to implement alternative Image registration methods for specific applications.

목차

Abstract
 1. Introduction
 2. Steps involved in Image Registration
 3. Classification
 4. Approaches to Image Registration
 4. Methods of Registration
  4.1. Extrinsic registration methods
  4.2. Curve methods
  4.3. Surface methods
  4.4. Moment and Principal Axes methods
  4.5. Correlation methods
  4.6. Atlas methods
  4.7. Mutual information-based methods
  4.8. Wavelet-based methods
  4.9. Soft Computing based methods
 5. Discussion
 References

키워드

저자

• Medha V. Wyawahare [ Vishwakarma Institute of Technology, Pune, Maharashtra State,India ]
• Dr. Pradeep M. Patil [ Vishwakarma Institute of Technology, Pune, Maharashtra State,India ]
• Hemant K. Abhyankar [ Vishwakarma Institute of Technology, Pune, Maharashtra State,India ]

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