|Table of Contents|

Sub-pixel image edge detection algorithm based on mixed fractal and wavelet transform

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2013年02期
Page:
275-
Research Field:
Publishing date:

Info

Title:
Sub-pixel image edge detection algorithm based on mixed fractal and wavelet transform
Author(s):
Luo YuanJi ChaoHu Zhangfang
Photoelectric Engineering College,The Chongqing University of Posts and Telecommunications, Chongqing 400065,China
Keywords:
micro electro mechanical system fractal interpolation wavelet-transform modulus maxima sub-pixel edge detection
PACS:
TP391.41
DOI:
-
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.

References:

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Last Update: 2013-04-30