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GA and Morphology Based Automated Segmentation of Lungs from CT Scan Images

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5 Author(s)
Jaffar, M.A. ; Dept. of Comput. Sci., FAST Nat. Univ. of Comput. & Emerging Sci., Islamabad, Pakistan ; Hussain, A. ; Nazir, M. ; Mirza, A.M.
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Segmentation is considered an essential step in medical image analysis and classification. In this paper we describe a method for lung segmentation based on Genetic Algorithm (GA) and morphological image processing techniques. We have used Genetic Algorithm to determine the threshold. The proposed system is able to perform fully automatic segmentation of CT scanned lung images. The proposed system can be used as a basic building block for a computer aided diagnosis systems. We have tested our technique against the datasets of different patients received from Aga Khan Medical University, Pakistan.

Published in:

Computational Intelligence for Modelling Control & Automation, 2008 International Conference on

Date of Conference:

10-12 Dec. 2008