Robust Image Sequence Mosaicing

2003 ◽  
pp. 386-393 ◽  
Author(s):  
Birgit Möller ◽  
Denis Williams ◽  
Stefan Posch
Keyword(s):  
Image Sequence ◽  
Robust Image

Robust image sequence auto-mosaic method

2013 ◽  
Vol 32 (2) ◽  
pp. 499-503
Author(s):  
Qing-shuang WU ◽  
Zhong-liang FU
Keyword(s):  
Image Sequence ◽  
Robust Image

Multiresolution Bio-Medical Image Segmentation using Fuzzy C-Means Clustering

2019 ◽  
Vol 8 (4) ◽  
pp. 9548-9551
Keyword(s):  
Image Segmentation ◽  
Medical Image Segmentation ◽  
Experimental Result ◽  
Segmentation Method ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Robust Image ◽  
Multiple Clusters ◽  
Single Pixel ◽  
Popular Image

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.

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