MR Brain Image Segmentation Using Spatial Fuzzy C- Means Clustering Algorithm | ||
| Journal of Engineering | ||
| Article 1, Volume 20, Issue 9, September 2014, Pages 78-89 | ||
| Authors | ||
| Safa Soud Mahdi; Reem Shakir Mahmood | ||
| Abstract | ||
| A conventional FCM algorithm does not fully utilize the spatial information in the image. In this re-search, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The spatial function is the summation of the membership functions in the neighborhood of each pixel under consideration. The advantages of the method are that it is less sensitive to noise than other techniques, and it yields regions more homogeneous than those of other methods. This technique is a powerful method for noisy image segmentation. | ||
| Keywords | ||
| fuzzy c; means; spatial information; image segmentation; clustering; mri brain image | ||
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