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A novel three dimensional bi-directional self-organizing neural network (3-DBDSONN) architecture with fuzzy context sensitive thresholding suitable for three-dimensional (3D) image processing applications, is proposed in this article. The proposed architecture comprises three interconnected three-dimensional fuzzy layers of neurons. It is devoid of any back-propagation algorithms for weight adjustments...
Processing of three-dimensional image data for quality enhancement, segmentation and analysis is a challenging proposition due to the enormity of the underlying data content as well due to the inadequacy of data description standards. Extraction of objects from 3-dimensional image information is no exception. In this article, a novel three-dimensional neural network architecture is presented for faithful...
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