利用数据场和欧氏距离的图像边缘提取

计算机工程与科学

利用数据场和欧氏距离的图像边缘提取

黄山1,李众1，黄蒙蒙2

（1.江苏科技大学电子信息学院，江苏镇江 212003；

2.人民解放军94906部队信息支援站，江苏苏州 215000）

收稿日期:2015-09-08 修回日期:2015-11-05 出版日期:2016-11-25 发布日期:2016-11-25

Image edge extraction based on data field theory

and Euclidean distance

HUANG Shan1,LI Zhong1，HUANG Mengmeng2

（1.School of Electronics and Information,Jiangsu University of Science and

Technology,Zhenjiang 212003,China;

2.Information support station，Troop 94906,Suzhou，215000，China）

Received:2015-09-08 Revised:2015-11-05 Online:2016-11-25 Published:2016-11-25

摘要/Abstract

摘要：

图像边缘是图像分析和识别的基础，图像边缘信息的准确性和完整性对后续图像分析和识别有重要影响

。为实现图像边缘有效提取，提出一种利用数据场和图像欧氏距离的图像边缘提取方法。首先，该方法

利用数据场理论构建图像数据场，实现图像灰度值特征空间到数据场势值空间的转换。然后，在对图像

数据场的势值计算时引入图像欧氏距离，利用图像区域欧氏距离扩大像素差异，抑制微小细节和噪声，

得到“背景”和“目标”相对分离的势值图。最后，用改进Canny算法对势值图进行边缘提取。实验表明

，用本文方法可以有效提高边缘提取的准确性，减少伪边缘，抑制冗余细节和噪声。

关键词: 数据场, 势值图, 图像欧氏距离, 改进Canny算子, 边缘提取

Abstract:

Image edges are the basis of image analysis and recognition,therefore the accuracy and

continuity of image edge information can affect subsequent image processing operations such

as image analysis and recognition. In order to realize the effective extraction of image

edges,we propose an image edge extraction method based on the data field theory and the

Euclidean distance.We first construct the image data field based on the data field theory

and convert the gray space to the data field potential space.We then employ the Euclidean

distance to calculate the potential value of the image data field.The introduction of image

Euclidean distance in the calculation of data quality can expand pixel difference and

suppress small and trivial details and noise,thus obtaining a potential value graph with

separated “background” and “target” potential values.Finally we utilize the improved

Canny operator to extract the edge.Experimental results show that the proposed method can

effectively improve the accuracy of edge extraction,reduce false edges,and suppress

redundant details and noise.

Key words:

data field, potential value graph, Euclidean distance of images, improved Canny operator, edge

extraction

黄山1,李众1，黄蒙蒙2. 利用数据场和欧氏距离的图像边缘提取[J]. 计算机工程与科学.

HUANG Shan1,LI Zhong1，HUANG Mengmeng2.

Image edge extraction based on data field theory

and Euclidean distance

[J]. Computer Engineering & Science.

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