Contextual modeling on auxiliary points for robust image reranking

2019 ◽  
Vol 13 (5) ◽  
pp. 1010-1022
Author(s):  
Ying Li ◽  
Xiangwei Kong ◽  
Haiyan Fu ◽  
Qi Tian
2014 ◽  
Vol 16 (3) ◽  
pp. 785-795 ◽  
Author(s):  
Cheng Deng ◽  
Rongrong Ji ◽  
Dacheng Tao ◽  
Xinbo Gao ◽  
Xuelong Li

2019 ◽  
Vol 7 (1) ◽  
pp. 277-282
Author(s):  
Mohammadi Aiman ◽  
Ruksar Fatima

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 ◽  
...  

2015 ◽  
Vol 11 (8) ◽  
pp. 613612 ◽  
Author(s):  
Hao Wu ◽  
Kun Yue ◽  
Xiaoxin Liu ◽  
Yijian Pei ◽  
Bo Li

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Zhenjun Tang ◽  
Hanyun Zhang ◽  
Shenglian Lu ◽  
Heng Yao ◽  
Xianquan Zhang

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