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CT Image Segmentation Based on clustering Methods

Asmaa A. Ajwad اسماء جواد --- Rand K. Mohammed رند محمد

Journal of the Faculty of Medicine مجلة كلية الطب
ISSN: 00419419 Year: 2010 Volume: 52 Issue: 2 Pages: 234-238
Publisher: Baghdad University جامعة بغداد

Abstract

Background: image processing of medical images is major method to increase reliability of cancer diagnosis.Methods: The proposed system proceeded into two stages: First, enhancement stage which was performed using of median filter to reduce the noise and artifacts that present in a CT image of a human lung with a cancer, Second: implementation of k-means clustering algorithm.Results: the result image of k-means algorithm compared with the image resulted from implementation of fuzzy c-means (FCM) algorithm. Conclusion: We found that the time required for k-means algorithm implementation is less than that of FCM algorithm.MATLAB package (version 7.3) was used in writing the programming code of our work.Keywords: CT, Image Segmentation, k-mean Clustering, Median Filtering

Keywords

CT --- Image Segmentation --- k-mean Clustering --- Median Filtering