Image Segmentation of Medical Images using Automatic Fuzzy C-Mean Clustering |
Author(s): |
| Padmini Umorya , NITM Gwalior; Rajesh Singh, NITM Gwalior |
Keywords: |
| Fuzzy c-means, Techniques, Spatial domain, level set method |
Abstract |
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We presented a new method for image segmentation which is based on automatic fuzzy c-means clustering algorithm for medical images. It segments the image for better visibility. In the level set segmentation, the key curve is found via solving an optimization problem wherever a cost function is reduced, but its disadvantage of this technique is to fix iteration at the time of execution. In the proposed technique, there is no need to fix the iteration value, it takes automatically iteration value and segment the image. The experimental results show the best result in terms of normalized cross correlation, normalized absolute error and execution time. In the process of clustering , it partition the image into a number of clusters and give the segmented image. |
Other Details |
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Paper ID: IJSRDV3I31354 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3666-3671 |
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