A New Method of Edge Detection Based on Information Measure and Neural Network

YANG Hai-jun; LIANG De-qun

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A New Method of Edge Detection Based on Information Measure and Neural Network

更新时间：2025-07-16

- A New Method of Edge Detection Based on Information Measure and Neural Network
- Acta Electronica Sinica Vol. 29, Issue 1, Pages: 51-53(2001)
- 作者机构：
  
  1. 西安交通大学图像处理与识别研究所,西安,710049
  2. 大连海事大学信息工程学院,大连,116026
  3. 西安交通大学图像处理与识别研究所西安,710049
  4. 大连海事大学信息工程学院大连,116026
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2001
- 稿件说明：
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YANG Hai-jun, LIANG De-qun. A New Method of Edge Detection Based on Information Measure and Neural Network[J]. Acta Electronica Sinica, 2001, 29(1): 51-53.
DOI：

YANG Hai-jun, LIANG De-qun. A New Method of Edge Detection Based on Information Measure and Neural Network[J]. Acta Electronica Sinica, 2001, 29(1): 51-53. DOI：

摘要

本文构造了不同的信息测度来定量描述阶跃边缘的三个本质特征

并给出由相应的三个分量组成的特征向量.用人工得到的样本对一BP神经网络进行训练

将训练后的神经网络直接用于图像的边缘检测.本文方法无需定阈值;在特征的选取上充分考虑了边缘和噪声的本质区别

具有优异的抗噪性能.实验证明本文方法具有令人满意的效果.

Abstract

In this paper

from the natural characters of step edge of image

we proposed a feature vector that consists of 3 components based on the information measure accordingly.Firstly.a BP neural network is trained with some samples that have been classified by manual work

and then extract edge proints in a new image using the trained neural network.Our method does not need any threshold and has better anti-noise performance since the influence of noise is adequately considered when the feature vector is settled.The effectiveness of this algorithm has been testified by some experiments in this paper.

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