Multiresolution Bio-Medical Image Segmentation using Fuzzy C-Means Clustering
2019 ◽
Vol 8
(4)
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pp. 9548-9551
Keyword(s):
Fuzzy c-means clustering is a popular image segmentation technique, in which a single pixel belongs to multiple clusters, with varying degree of membership. The main drawback of this method is it sensitive to noise. This method can be improved by incorporating multiresolution stationary wavelet analysis. In this paper we develop a robust image segmentation method using Fuzzy c-means clustering and wavelet transform. The experimental result shows that the proposed method is more accurate than the Fuzzy c-means clustering.
2017 ◽
Vol 122
◽
pp. 407-414
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2021 ◽
Vol 101
◽
pp. 104209
2012 ◽
Vol 18
(8)
◽
pp. 1145-1155
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2019 ◽
Vol 13
(6)
◽
Keyword(s):
2017 ◽
Vol 9
(4)
◽
pp. 345-351
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