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[1]崔建军,詹世富,郑雄伟,等.一种改进的图像边缘检测算法[J].地球科学与环境学报,2008,30(03):323.
　CUI Jian-jun,ZHAN Shi-fu,ZHENG Xiong-w ei,et al.An Improved Edge Detection Algorithm[J].Journal of Earth Sciences and Environment,2008,30(03):323.
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第30卷
期数:
2008年第03期
页码:
323
栏目:
应用地球物理
出版日期:
2008-09-20

文章信息/Info

Title:
An Improved Edge Detection Algorithm
作者:
崔建军1; 詹世富2; 郑雄伟2; 顾俊凯1
1.长安大学地质工程与测绘学院,陕西西安710054;2.中国国土资源航空物探遥感中心,北京100083
Author(s):
CUI Jian-jun1; ZHAN Shi-fu2; ZHENG Xiong-w ei2; GU Jun-kai1
1. School o f Geological Engineering and Surveying, Changan University, Xian 710054, Shaanxi, China; 2. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
关键词:
边缘检测; 微分算子; 算法; 改进
Keywords:
edge detection;  differential operator;  algorithm;  improving
分类号:
P23
DOI:
-
文献标志码:
A
摘要:
对传统的微分边缘检测算法的缺陷进行分析和评价,并针对微分边缘检测算法的缺陷,提出了一种改进 的边缘检测算法。新算法摈弃了传统边缘检测算法中将每个像素单独进行考虑的模式,而是将待检测像素及与 其相邻的像素作为一个整体来考虑,通过将待检测像素为中心的某个领域进行整体计算,得出能够反映这个领 域性质的某些参数,并以此作为边缘检测的判据,进行检测。此算法充分考虑到了中心像素与周围像素之间的 关系,从而增加了梯度运算的可靠性。实验表明:新算法能够检测到更细的边缘,并且在椒盐噪声的情况下要优 于常用的微分边缘检测算法。
Abstract:
The defects of conventional gradient edge detection are analyzed and evaluated. In order to avoid the defects of gradient operators, this paper proposes a new edge detection method. The new algorithm alters the traditional method of considering one pixel separately by considering the neighborhood of one image pixel as a whole part. Some special parameters of the area can be presented through calculating the pixel and its neighborhood. The edge detection is based on those parameters. The new algorithm thoroughly considers the neighborhood of one image pixel and improves the stability of the gradient results by introducing the value of the neighborhood to the gradient. The edge detection results of test image show that the new method can detect thinner edges and is more reliable under salt and pepper noisy condition.

参考文献/References:

[1] Marr D, H idreth E .Th eory of Edge Det ection[M] .London : Proc Roy Soc, 1980 .
[2] 杨枝灵 , 王 开 .数字图像获取 、处理及实践应用[M] .北京 : 人民邮电出版社 , 2003 .
[3] 陈 哲 , 王富嘉 , 张常 云 .INS/ GPS/ TAN/ SMN 组合导航系 统的仿真研究[R] .北京 :中国航空工业总公司 , 1999 .
[4] 卜纳特 .数字图像处理[M] .邓鲁花 , 译 .北 京 :机械工业出版 社 , 2005 .
[5] Schiele B .Object Recognit ion Using Recept ive Field H ist ograms [R] .Gren ob le:Inst itut National Polyt echnique de Grenob le, 1997 .
[6] Smith S , Brady M .SUSA :A New Approach to Low Level Image Processing[J] .Int ernational J ou rnal of Compu ter Visi on , 1997, 23 :45-78 .
[7] Vin cen t E , Laganiere R.Det ecting and Mat chin g Featu re Point s[J] .Vi s C om mun Image R, 2004 , 16 :38-54 .

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备注/Memo

备注/Memo:
收稿日期:2008-03-20
基金项目:国家自然科学基金项目(40672173)
作者简介:崔建军(1974-),男,山东烟台人,讲师,理学博士研究生,从事GIS、激光雷达等研究。E-mail:stonecui@chd.edu.cn
更新日期/Last Update: 2008-09-20