Automatically assigned DDC number: 00632

Manually assigned DDC number: 00637

Number of references: 8

Title: A Two-Layer Neural Network For Robust Image Segmentation And Its Application In Revising Hydrographic Features

Author:

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Subject: Xiuwen Liu,Deliang Wang,J. Raul Ramirez A Two-Layer Neural Network For Robust Image Segmentation And Its Application In Revising Hydrographic Features

Description: In this paper we use a two-layer neural network for robust image segmentation. The first layer is a locally coupled recurrent network. Using probabilistic measures, contextual information is incorporated effectively through underlying coupling structures, which reduces and even resolves local ambiguities in images. The second layer is a LEGION (Locally Excitatory Globally Inhibitory Oscillator Network) network. It has has been shown rigorously that the LEGION network can achieve synchronization among oscillators corresponding to one region and desynchronization among different oscillator groups representing different regions rapidly. Thus it provides a computationally effective representational framework for image segmentation. We observe fast convergence and robustness to noise of the two-layer network, which is demonstrated using synthetic and real images. For practical use, we develop an efficient algorithm, which has been successfully applied to extracting hydrographic features fro...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-06-22

Format: ps

Identifier: http://citeseer.ist.psu.edu/150653.html

Source: http://wwwphoto.eng.ohio-state.edu/isprs3/sympo98.man/pp71.ps

Language: en

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Rights: unrestricted

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