Earticle

초록

영어

Medical data analysis from different medical image sensor has been increased in medical field. The image fusion techniques which are the efficient way of adding and improving medical imaging information have drawn increasing concentration from the medical society. In this paper, we proposed a new scheme of Neighbouring Pixel Selection (NPS) fusion rule for laplacian pyramidal multiscale decomposition-based fusion of medical images considering the consistency verification of both intrascale and interscale parameters. A combining set of coefficients from the Multiscale Representations (MSR) of the source images is computed by utilization of neighborhood information. An efficient fusion scheme is also proposed for different modalities. Experimental results show that proposed method produces better results than the existing methods.

목차

Abstract
 I. Introduction
 II. Fusion Rules
  1. Activity-Level Measurement
  2. Coefficient Grouping
  3. Coefficient Combination
  4. Consistency Verification
 III. Neighbouring Pixel Selection (NPS) Method
  1. Medical Image Fusion
  2. Flow Graph of NPS Fusion Rule
  3. Problem Formulation
  4. Neighbouring Coefficient Selection
  5. LPT+NPS Based Fusion
  6. NPS Fusion Algorithm
 IV. Evaluation Criteria
  1. Root Mean Square error (RMSE)
  2. Peak Signal to Noise Ratio
  3. Image Quality Index
  4. Mutual Information
  5. Objective Evaluation Metric
 V. Result Analysis
 VI. Conclusion
 References

키워드

저자

• S.Sivasangumani [ IEEE Member , P.G Scholar, Department of Electronics and Communication Engineering, V.S.B. Engineering College, Affiliated to Anna University, Karur, Tamil Nadu, India ]
• P.S .Gomathi [ Assistant Professor, Department of Electronics and Communication Engineering, V.S.B. Engineering College, Affiliated to Anna University, Karur, Tamil Nadu, India ]
• B. Kalaavathi [ Professor, Department of Computer Science and Engineering, K.S.R. Institute for Engineering and Technology, Affiliated to Anna University, Tiruchengode, Tamil Nadu, 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