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基于图像信息测度和极限学习机的图像边缘检测

夏伟 王萍 马佳艳 王晓敏

微型电脑应用2017,Vol.33Issue(11):74-78,5.
微型电脑应用2017,Vol.33Issue(11):74-78,5.

基于图像信息测度和极限学习机的图像边缘检测

Image Edge Detection Based on Image Information Measure and Extreme Learning Machine

夏伟 1王萍 1马佳艳 1王晓敏1

作者信息

  • 1. 河海大学物联网工程学院,常州213022
  • 折叠

摘要

Abstract

In order to overcome the disadvantages of the traditional image edge detection,such as slow speed and poor continuity,a new image edge detection method based on image information measure and ELM is proposed.F measurement is used as the evaluation index of image edge detection,the results show that the edge of ELM image edge detection effect is better than those of LVQ,BP and Sobel operator,image edge is more clear and strong texture,good continuity,and has better anti noise performance.

关键词

信息测度/极限学习机/神经网络/边缘检测

Key words

Information measure/Extreme learning machine/Neural network/Edge detection

分类

信息技术与安全科学

引用本文复制引用

夏伟,王萍,马佳艳,王晓敏..基于图像信息测度和极限学习机的图像边缘检测[J].微型电脑应用,2017,33(11):74-78,5.

微型电脑应用

OACSTPCD

1007-757X

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