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CT Image Segmentation Based on clustering Methods | ||
| Journal of the Faculty of Medicine | ||
| Article 1, Volume 52, Issue 2, 2010, Pages 234-238 | ||
| Authors | ||
| Asmaa A. Ajwad; Rand K. Mohammed | ||
| 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 | ||
| Image Segmentation; mean Clustering; Median Filtering | ||
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