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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

Image segmentation plays a vital role in medical imaging applications. Many image segmentation methods have been proposed for the process of successive image analysis tasks in last decades. Segmentation of pulmonary Chest Computer Tomography (CT) images is a precursor to most pulmonary image analysis applications. In this paper an automated lung image segmentation system for the identification of lungs using contectual clustering method is presented. Matlab software ‘regionprops’ function has been used as one of the criteria to show performance of CC. The CC segmentaion shows more segmented objects with least discontuinty within the objects in the CT lung image. From the experimental results, it has been proved that the Contextual clustering method shows a better segmentation result when compared to other conventional segmentation methods

Keywords :

: Contextual clustering, segmentation performance, CT lung image

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