Binary Object Extraction by Bidirectional Self-Organizing Neural Network Architecture

Siddhartha Bhattacharyya,Ujjwal Maulik

doi:10.1007/978-3-642-40255-5_5

Binary Object Extraction by Bidirectional Self-Organizing Neural Network Architecture

Siddhartha Bhattacharyya, Ujjwal Maulik

https://doi.org/10.1007/978-3-642-40255-5_5

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Publication Date: Jan 1, 2013

Affiliation: Jadavpur University

#Bidirectional Self-Organizing Neural Network Architecture #Multilayer Self-organizing Neural Network + Show 8 more

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Abstract

The conventional multilayer self-organizing neural network (MLSONN) architecture [89] suffers from several limitations as far as the extraction and segmentation of multilevel and color images are concerned. A multilevel version of the standard sigmoidal activation function was introduced in [33, 34, 232, 233] for inducing multiscaling capability in the functionality of the architecture, without increasing the network complexity in the process.

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