A Pruning Algorithm for Efficient Image Segmentation with Neighborhood Neural Networks

Abstract

Most of the image preprocessing techniques by existing neighborhood neural networks, suffer from the problem of false classification of the image features. This is mainly due to the redundancy in the interconnectivity patterns of the networks. The larger number of interconnections in these networks implies a larger network complexity as well. A fuzzy set… (More)

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