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Radial Basis Function Neural Networks (RBFNN) For Fire Image Segmentation

Author(s): Dr. V.Seenivasagam ,S.Arumugadevi

Journal: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
ISSN 2278-1323

Volume: 1;
Issue: 6;
Start page: 212;
Date: 2012;
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Keywords: Image Segmentation | RBFN | Neural networks | K-Means clustering.

A novel method of fire color image segmentation using RBF Neural Networks is proposed. In Radial Basis Function Network (RBFN), Clusters are found automatically using k-means algorithm. Radial basis function is used in hidden layer to find output which depends on the distance of the input from a stored vector. RBF Neural network is used to train input layer to target vector. The experimental results of segmentation process using Radial Basis Function neural network is good when compared with traditional k-means clustering segmentation algorithm
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