Earticle

초록

영어

This paper proposes an automatic lung lobe segmentation method in a supervised way. The lung image is given as input and the lung image is segmented using iterative threshold method. Then fissure information is enhanced using log supportive filter. Then Fissure locations are extracted using Vector training and matching process. Finally the lung lobes are segmented and marked as individual lobes. The main modules of this proposed method are Iterative threshold based lung segmentation, Fissure enhancement, fissure detection and Lung lobe segmentation. This proposed method can be used to find the missing fissures and unclear fissures also. This proposed method is working based on training of fissure information and detection is done according to the trained vectors. The proposed method segments the lung lobes with high performance and high speed.

목차

Abstract
 1. Introduction
 2. Methodology
  2.1. Iterative Threshold Based Lung Segmentation
  2.2. Refinement Process of Lung Segmentation
  2.3. Lung Fissure Enhancement Process
  2.4. Training Process
  2.5. Query Lung Segmentation and Enhancement
  2.6. Euclidean Distance Based Fissure Extraction
  2.7. Refinement Process of Fissure
  2.8. Lung Lobe Segmentation Using Region Filling
 3. Conclusion
 4. Experimental Results
 References

키워드

저자

• K.K.Thanammal [ Associate Professor, Department of MCA S.T.Hindu College, Nagercoil ]
• J. S. Jayasudha [ H.O.D, Computer Science and Engineering Sree Chitra Tirunal College of Engineering, Tiruvananthapuram ]

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