An Optimal Approach for DICOM Image Segmentation Based on Fuzzy Techniques

Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

In this paper an optimal method for DICOM CT image segmentation is explored with the integration of FCM thresholding with fuzzy levelset for medical image processing FCM thresholding gives fine segmented results when compared to Otsu method. The optimization property of FCM is improved when it is combined with local thresholding. The application of Fuzzy levelset gives enhanced segmentation results. The experimentation results based on the statistical metrices proves that the optimal approach enhances the segmented results with fine regions.

Keywords

Medical Image segmentation FCM Local thresholding Levelset Fuzzy levelset Adaptive thresholding 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceDr. G.R.D. College of ScienceCoimbatoreIndia

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