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Analyzing Wavelet and Bidimensional Empirical Mode Decomposition of MRI Segmentation using Fuzzy C-Means Clustering
2016
Rajshahi University Journal of Science and Engineering
Image segmentation is a vital step in medical image processing. Magnetic resonance<br />imaging (MRI) is used for brain tissues extraction in white and gray matter. These tissues<br />extraction help in image segmentation applications such as radiotherapy planning, clinical<br />diagnosis, treatment planning. This paper presents utilization of fuzzy C-means (FCM)<br />clustering by using wavelet and bidimensional empirical mode decomposition (BEMD) to<br />improve the quality of noisy MR
doi:10.3329/rujse.v44i0.30395
fatcat:chtxg6rk4fbynmhfqnowbfveyy