A Fractal based Subpixel Image Edge Detection Algorithm

被引：0
作者：
Luo, Yuan [1 ]
Ji, Chao [1 ]
Zhang, Yi [1 ]
Hu, Zhangfang [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Photoelect Engn Coll, Chongqing 400065, Peoples R China
来源：
MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2 | 2013年 / 239-240卷
关键词：
MEMS; Fractal interpolation; Wavelet-transform modulus maxima; Sub-pixel; Edge detection;
D O I：
10.4028/www.scientific.net/AMM.239-240.1546
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Application of machine vision method for MEMS dynamic parameters were measured, the testing image have a certain degree of ambiguity. This paper presents a sub-pixel algorithm based on fractal and wavelet transform: Firstly, using self-similar characteristics of fractal interpolation to overcome the problem,that can not be accurate interpolation and the edge of the. image reconstruction. Then because of abilities of high resolution and anti-noise,using wavelet transform modulus maxima,the image edge detection. The experimental results show that the algorithm can reach 0.02 pixel accuracy.
引用
收藏
页码：1546 / 1551
页数：6
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