Canadian Conference on Electrical and Computer Engineering , 2008-05-04

Title : ( FAST IMAGE SEGMENTATION USING C-MEANS BASED )

Authors: فرهاد محمد کاظمی , Mohammad Reza Akbarzadeh Totonchi , سعید راحتی , Habib Rajabi Mashhadi ,

Citation: BibTeX | EndNote

In this paper, we propose a fast C-means based training of Fuzzy Hopfield neural network and apply it to image segmentation. According to the other ways which usually take a long time, we define a fast method for image segmentation. We present a new objective function, and its minimization by Lyapunov energy function which is based on two dimensional fuzzy Hopfield neural network. This objective function is the same energy function Hopfield neural network which is improved, and includes average distance between image pixels and cluster centers. In this new method, numbers of iterations are less than the other methods it means the proposed method has a faster convergence rate in comparison with the other ways. Therefore, Fuzzy Hopfield neural network method provides image segmentation better than the other methods according to experimental results.

Keywords

, segmentation, fuzzy, neural network, Hopfield neural
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@inproceedings{paperid:1007717,
author = {فرهاد محمد کاظمی and Akbarzadeh Totonchi, Mohammad Reza and سعید راحتی and Rajabi Mashhadi, Habib},
title = {FAST IMAGE SEGMENTATION USING C-MEANS BASED},
booktitle = {Canadian Conference on Electrical and Computer Engineering},
year = {2008},
keywords = {segmentation; fuzzy; neural network; Hopfield neural network},
}

[Download]

%0 Conference Proceedings
%T FAST IMAGE SEGMENTATION USING C-MEANS BASED
%A فرهاد محمد کاظمی
%A Akbarzadeh Totonchi, Mohammad Reza
%A سعید راحتی
%A Rajabi Mashhadi, Habib
%J Canadian Conference on Electrical and Computer Engineering
%D 2008

[Download]