doi: 10.7763/IJET.2010.V2.171
Possibilistic Clustering Adaptive Smoothing Bilateral Filter Using Artificial Neural Network
- Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India
Abstract
This research paper, we deals with the implementation of clustering environment noise load and smoothing it by filtering using bilateral and wiener filter neural network (adaptation method). The proposed method has an advantage of dealing with not only perform load but also to reduce the noise of environment. In this research paper we have used advance technique to find load considering on each Gaussian area for neural computing and filtering noise before cluster it such that, it should not disturb any other existing signal like telephone signal etc. Linear adaptation filter as OPAMP circuit used to filter noise using proposed method.
Keywords
- Adaptation
- wiener filter
- OPAMP
- Mean square error matrix
- signal to noise ratio
- bilateral filter
- Possibilistic Clustering
How to Cite
Saroj Kumar Gupta, M. V. Jagannatha Reddy, and A. Nanda Kumar, "Possibilistic Clustering Adaptive Smoothing Bilateral Filter Using Artificial Neural Network," International Journal of Engineering and Technology, vol. 2, no. 6, pp. 499-503, 2010. https://doi.org/ 10.7763/IJET.2010.V2.171
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).