Algorithms of robust image filtering with the preservation of fine details in the presence of noise

2001 ◽  
Vol 46 (9) ◽  
pp. 642-646
Author(s):  
V. F. Kravchenko ◽  
V. I. Ponomarev ◽  
V. I. Pustovoit
Keyword(s):  
Author(s):  
Jose Ismael de la Rosa Vargas ◽  
Jesus Villa ◽  
Efren Gonzalez ◽  
Ovaldo Gutierrez ◽  
Enrique de la Rosa

Author(s):  
J. I. de la Rosa ◽  
J. Villa-Hernandez ◽  
E. de la Rosa M. ◽  
E. Gonzalez-Ramirez ◽  
O. Gutierrez ◽  
...  

2019 ◽  
Vol 8 (4) ◽  
pp. 9548-9551

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.


Sign in / Sign up

Export Citation Format

Share Document