• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2016, Volume: 9, Issue: Special Issue 1, Pages: 1-3

Original Article

Segmentation of Lung Tumor in CT Images using Graph Cuts


Background/Objectives: The goal of this method is to obtain optimal segmentation by minimizing the energy using ­max-flow. Methods/Statistical Analysis: Image segmentation is partitioning the image based on similarities. The noise and low contrast in Computed Tomography (CT) images makes the segmentation process difficult. Thus the physiological ­informationfromCTimage is integratedusing the graphcutmethodto gethighcontrast andgoodboundaries. Findings: The graph cut method provides the shape term and region term to locate the tumor site. Improvements/Applications: Graph cut approach solves binary problems.
Keywords: Computed Tomography, Energy Minimization, Graph Cut, Image Segmentation


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