Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Secure Text Steganography Read chapter Read first chapter

2014 | OriginalPaper | Chapter

An Effective Segmentation Approach for Lung CT Images Using Histogram Thresholding with EMD Refinement

Authors : Khan Z. Faizal, V. Kavitha

Published in: Proceedings of International Conference on Internet Computing and Information Communications

Publisher: Springer India

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Image segmentation is an important step in extracting information from medical images. Segmentation of pulmonary chest computed tomography (CT) images is a precursor to most pulmonary image analysis. The purpose of lung segmentation is to separate the voxels corresponding to lung tissue from the surrounding anatomy. This paper presents an automated CT lung image segmentation. The approach utilizes histogram-based thresholding with Earth Mover’s Distance (HTEMD)-based refinement methods. The final segmented output is further refined by morphological operators. The performance of HTEMD is compared with Otsu’s, K-Means, and histogram thresholding using fuzzy measures.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Detections of Intima-Media Thickness in B-Mode Carotid Artery Images Using Segmentation Methods
next chapter Analysis of Mobile Agents Applications in Distributed System
Literature
1.
Cao, W., Yan, Y., Li, S.: Unsupervised color-texture image segmentation based on a new clustering method. J. Next Gener. Inform. Technol. 1(2), 784–787 (2010)
2.
Armato, S.G., Sensakovic, W.F. Automated lung segmentation for thoracic CT. Acad. Radiol. 11(9), 1011–1021 (2004)
3.
Garnavi, R., Baraani-Dastjerdi, A., Abrishami Moghaddam H, 2005, A new segmentation method for lung HRCT images. In: Proceedings of the Digital Imaging Computing: Techniques and Applications, p. 8. IEEE CS Press, Cairns Convention Centre, Brisbane, Australia. doi:10.​1109/​DICTA.​2005.​5
4.
Ye, X., Lin, X., Dehmeshki, J., Slabaugh, G., Beddoe, G.: Shape-based computer-aided detection of lung nodules in thoracic CT Images. IEEE Trans. Biomed. Eng. 56(7) 1810–1820 (2009)
5.
Faizal Khan, Z., Kavitha, V.: Pulmonary lung segmentation in computer tomography using fuzzy logic. Eur. J. Sci. Res. 81(3), 329–337 (2012)
6.
Park S.C., Kim W.P., Zheng B., Leader J.K., Pu J., and Gur D.: Pulmonary airway tree segmentation from CT examinations using adaptive volume of interest. Proc. SPIE Med. Imag. 7259, 72593U-1–72593U-9 (2009)
7.
Lopes, N.V., Mogadouro do Couto, P.A., and Bustince, H.: Automatic histogram threshold using fuzzy measures. IEEE Trans. Image Process. 19(1), 199–204 (2010)
8.
Adam, A., Kimmel, R., Rivlin, E.: On scene segmentation and histograms-based curve evolution. IEEE Trans. Pattern Anal. Mach. Intell. 31(9), 1708–1714 (2009)
9.
Zheng, B., Leader, J.K., Maitz, G.S., Chapman, B.E., Fuhrman, C.R., Rogers, R.M., Sciurba, F.C., Perez, A., Thompson, P., Good, W.F., Gur, D.: A simple method for automated lung segmentation in X-ray CT images. Proc. SPIE 5032, 1455–1463 (2003)
Metadata
Title
An Effective Segmentation Approach for Lung CT Images Using Histogram Thresholding with EMD Refinement
Authors
Khan Z. Faizal
V. Kavitha
Copyright Year
2014
Publisher
Springer India
Book
Proceedings of International Conference on Internet Computing and Information Communications

Print ISBN: 978-81-322-1298-0

Electronic ISBN: 978-81-322-1299-7

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-81-322-1299-7_45