[1]罗 元,计 超,胡章芳.混合分形和小波变换亚像素图像边缘检测算法[J].南京理工大学学报(自然科学版),2013,37(02):275.
 Luo Yuan,Ji Chao,Hu Zhangfang.Sub-pixel image edge detection algorithm based on mixed fractal and wavelet transform[J].Journal of Nanjing University of Science and Technology,2013,37(02):275.
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混合分形和小波变换亚像素图像边缘检测算法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
37卷
期数:
2013年02期
页码:
275
栏目:
出版日期:
2013-04-30

文章信息/Info

Title:
Sub-pixel image edge detection algorithm based on mixed fractal and wavelet transform
作者:
罗 元计 超胡章芳
重庆邮电大学 光电工程学院,重庆 400065
Author(s):
Luo YuanJi ChaoHu Zhangfang
Photoelectric Engineering College,The Chongqing University of Posts and Telecommunications, Chongqing 400065,China
关键词:
微机电系统 分形插值 小波变换模极大值 亚像素 边缘检测
Keywords:
micro electro mechanical system fractal interpolation wavelet-transform modulus maxima sub-pixel edge detection
分类号:
TP391.41
摘要:
针对机器视觉方法对微机电系统(MEMS)动态参数进行测量时获得的图像模糊的问题,该文提出一种基于分形插值和小波变换模极大值的亚像素图像边缘检测算法。利用分形插值的自相似特性,解决了由模糊图像边缘的不规则性引起的无法进行高精度插值、不能重建图像边缘的问题,借助小波变换的高分辨和抗噪声能力,对图像进行小波变换模极大值边缘检测。实验结果表明,该算法可以达到0.02个像素精度。
Abstract:
When the machine vision method is used to test dynamic parameters of the micro electro mechanical system(MEMS),the test image is ambiguous.This paper presents a sub-pixel image edge detection algorithm based on the mixed fractal and the wavelet transform.Using the self-similar characteristics of the fractal interpolation,the accurate interpolation and the edge of the image reconstruction can be realized when the image edge is irregular.The high resolution and anti-noise of the wavelet transform are used to test the modulus maxima of the image edge.The experimental results show that the accuracy of the algorithm can reach 0.02 pixel.

参考文献/References:

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相似文献/References:

[1]聂伟荣,席占稳,李启磊.一种MEMS保险机构的工艺模拟和静态特性仿真分析[J].南京理工大学学报(自然科学版),2010,(02):166.
 NIE Wei-rong,XI Zhan-wen,LI Qi-lei.Process-simulation and Static Characteristic Simulation Analysis of MEMS-based Safety and Arming Device[J].Journal of Nanjing University of Science and Technology,2010,(02):166.

备注/Memo

备注/Memo:
收稿日期:2011-11-11 修回日期:2012-04-12
基金项目:国家自然科学基金(51075420)
作者简介:罗元(1972-),女,博士,教授,主要研究方向:数字图像处理,信号与信息处理,E-mail:luoyuan@cqupt.edu.cn。
更新日期/Last Update: 2013-04-30