scholarly journals Fast and robust image segmentation by small-world neural oscillator networks

2011 ◽  
Vol 5 (2) ◽  
pp. 209-220 ◽  
Author(s):  
Chunguang Li ◽  
Yuke Li
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.


2021 ◽  
pp. 114811
Author(s):  
Aditi Joshi ◽  
Mohammed Saquib Khan ◽  
Asim Niaz ◽  
Farhan Akram ◽  
Hyun Chul Song ◽  
...  

Plant Methods ◽  
2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Xiong Xiong ◽  
Lingfeng Duan ◽  
Lingbo Liu ◽  
Haifu Tu ◽  
Peng Yang ◽  
...  

2009 ◽  
Vol 27 (1) ◽  
pp. 135-160 ◽  
Author(s):  
Kevin K. Lin ◽  
Eric Shea-Brown ◽  
Lai-Sang Young

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