Earticle

초록

영어

Non rigid image registration assumes a paramount part over medical imaging framework. In the complicated conditions, it is quiet a testing errand. Sometimes the dataset is perverted by spatially varying intensity contortion. To resolve this, issue many techniques based on LLR have been designed. In this paper, the core idea behind the proposed technique is to reduce the reconstruction time by considering the LLR in transform domain. The proposed technique uses DWT to split the dataset image into sub bands. Low frequency sub band image is reconstructed by reference image, followed by combining all subband images to generate an enhanced image by using inverse DWT. The quantitative (peak signal-to-noise ratio, root mean square error, mean square error and normalized cross correlation) and visual results show the superiority of the proposed technique over the conventional LLR technique and the execution time is reduced by 19%.

목차

Abstract
 1. Introduction
 2. Material and Methods
  2.1. Database Used
  2.2. Proposed Technique
  2.3. DWT in 2D
  2.4. Locally Linear Reconstruction (LLR)
 3. Evaluation of Parameters
 4. Results and Discussion
 5. Conclusions
 6. Future Scope
 References

키워드

저자

• Sakshi Goyal [ Computer Science and Engineering DAV University Jalandhar, India ]
• Er.Nishi [ Computer Science and Engineering DAV University Jalandhar, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605