Unsupervised Learning of Local Mean Gray Values for Image Pre-processing

Authors:
Herbert Jahn
Affiliations:
-
Venue:
MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
Year:
1999

Citing 2
Cited 0

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
A Neural Network for Image Smoothing and Segmentation

SSPR '98/SPR '98 Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition

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Abstract

A parallel-sequential unsupervised learning method for image smoothing is presented which can be implemented with a Multi Layer Neural Network. In contrast to older work of the author which has used 4-connectivity of processing elements (neurons) leading to a very big number of recursions now each neuron of network layer t+1 is connected with (2M+1)*(2M+1) neurons of layer t guaranteeing a significant reduction of network layers with the same good smoothing results.