Fuzzy Cellular Automata for Modeling Pattern Classifier

2005 ◽  
Vol E88-D (4) ◽  
pp. 691-702 ◽  
Author(s):  
P. MAJI
2019 ◽  
Vol 32 ◽  
pp. 125-140 ◽  
Author(s):  
Ioannis Gerakakis ◽  
Prodromos Gavriilidis ◽  
Nikolaos I. Dourvas ◽  
Ioakeim G. Georgoudas ◽  
Giuseppe A. Trunfio ◽  
...  

2018 ◽  
Vol 10 (4) ◽  
pp. 285
Author(s):  
Pushpendra Singh Sisodia ◽  
Rajveer Singh Shekhawat ◽  
Vivekanand Tiwari

2016 ◽  
Vol 47 (3) ◽  
pp. 161-179 ◽  
Author(s):  
Reza Shahverdi ◽  
Madjid Tavana ◽  
Ali Ebrahimnejad ◽  
Khadijeh Zahedi ◽  
Hesam Omranpour

2013 ◽  
Vol 846-847 ◽  
pp. 1213-1216
Author(s):  
Hong Tao Zai

In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly, the corresponding feature point pairs are got by the cross-correlation of the gray scale around the edge feature points; finally the images can be stitched by matched edge feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefit to improve the safety and reliability of substation operation.


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