Earticle

초록

영어

Image Registration is the process of aligning two or more images of the same scene taken from different viewpoints, at different times, from different sensors. Image registration aligns two images, i.e., base image and reference image, geometrically. There are different approaches of image registration and these approaches are categorized according to their nature that is areas based and feature based. These approaches are also categorized according to the four simple steps of image registration procedure: feature detection, feature matching, function mapping and transformation and re-sampling. Advantages and disadvantages of different methods are discussed in the paper. The main aim of this paper is to provide the knowledge of different image registrations methods used in different application area.

목차

Abstract
 1. Introduction
 2. Image Registration Methodology
  2.1 Classification of Image Registration Techniques
  2.2 Steps Involved in Image Registration Process
 3. Feature Detection
  3.1 Area-Based Methods
  3.2 Feature-Based Methods
 4. Feature Matching
  4.1 Area Based Methods
  4.2 Feature Based Methods
 5. Transform Model Estimation
 6. Image Resampling and Transformation
  6.1 Global Models
  6.2 Local Models
 7. Conclusion
 References

키워드

저자

• Siddharth Saxena [ (Research Scholar), Department of CSE &IT, MITS, Gwalior ]
• Rajeev Kumar Singh [ (Assistant Professor), Department of CSE & ITMITS, Gwalior ]

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