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双权值神经网络在图像分割中的应用

邹海 褚维翠 徐军 张娟 王子琦

计算机工程与应用2012,Vol.48Issue(13):163-166,195,5.
计算机工程与应用2012,Vol.48Issue(13):163-166,195,5.DOI:10.3778/j.issn.1002-8331.2012.13.035

双权值神经网络在图像分割中的应用

Application of two-weight neural networks in image segmentation

邹海 1褚维翠 1徐军 1张娟 1王子琦1

作者信息

  • 1. 安徽大学计算机科学与技术学院,合肥230039
  • 折叠

摘要

Abstract

A learning algorithm for two-weight neural networks is introduced which based on error back propagation. It can synchronously determine the direction weight, core weight, index parameter, and learning factor parameters. Various hypersurfaces feature can be simulated by properly tuning these parameters. In the training of two-weight network, this paper compares the method with BP algorithm through the segment of portraits. At last, the writer applies the two-weight neural networks to segment the vehicle license plate, and achieves good image segment effect.

关键词

BP算法/双权值神经网络/图像分割

Key words

BP algorithm/ two-weight neural networks/ image segmentation

分类

信息技术与安全科学

引用本文复制引用

邹海,褚维翠,徐军,张娟,王子琦..双权值神经网络在图像分割中的应用[J].计算机工程与应用,2012,48(13):163-166,195,5.

基金项目

国家科技重大专项资助项目(No.2008ZX05039-004). (No.2008ZX05039-004)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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