A Neural Network for Segmentation of Line Drawings into Lines of Different Orientations

Abstract

A neural network is described which is designed for segmentation of binary line drawings into separate line segments according to their orientations. The network consists of several neural layers; each layer serves for extracting line segments of a certain orientation. Every neural layer has one-to-one correspondence with a retina. The task is performed by means of the interative procedure which includes interactions of neurons inside each layer through oriented excitatory connections and inhibitory interrelations between the corresponding neurons of different layers. The network is intended to produce orientation features as a result of the drawing partition. These orientation features should be used for recognition of line drawings. Computer simulation of the network was performed. Experiments showed that the network provides reasonable segmentation of separate handwritten characters.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Artificial Intelligence; Neural Networks

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2000 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

01 Jan 2000

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