Supervised texture classification using a probabilistic neural network and constraint satisfaction model

@article{Raghu1998SupervisedTC,
  title={Supervised texture classification using a probabilistic neural network and constraint satisfaction model},
  author={P. P. Raghu and Bayya Yegnanarayana},
  journal={IEEE transactions on neural networks},
  year={1998},
  volume={9 3},
  pages={516-22}
}
In this paper, the texture classification problem is projected as a constraint satisfaction problem. The focus is on the use of a probabilistic neural network (PNN) for representing the distribution of feature vectors of each texture class in order to generate a feature-label interaction constraint. This distribution of features for each class is assumed as a Gaussian mixture model. The feature-label interactions and a set of label-label interactions are represented on a constraint satisfaction… CONTINUE READING
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