CHARACTER AND LINE EXTRACTION FROM COLOR MAP IMAGES USING A MULTILAYER NEURAL-NETWORK

被引：13
|
作者：
YAN, H
WU, J
机构：
[1] Department of Electrical Engineering, University of Sydney, Sydney
来源：
PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 01期
关键词：
COLOR IMAGE SEGMENTATION; MAP IMAGE ANALYSIS; NEURAL NETWORK CLASSIFIERS;
D O I：
10.1016/0167-8655(94)90105-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A multi-layer neural network based technique is presented in this paper for extracting characters and lines from color geographic map images. In this method, a neural network is first trained with feature values at known character and line pixels and background pixels and then used for image classification. The image segmentation problem is treated as a pattern classification process and the neural network classifier is used to generate non-linear decision regions to separate the foreground and background of an image that may contain a number of non-uniform regions with different colors. The method has been verified to work well with experimental studies.
引用
收藏
页码：97 / 103
页数：7
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