Application of wavelet denoising in image process of intelligent wire bonding machine

ZHANG He-ying; QI Qi-feng; LI Hao

doi:10.13873/j.1000-97872011.04.030

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Application of wavelet denoising in image process of intelligent wire bonding machine

更新时间：2025-09-11

- Application of wavelet denoising in image process of intelligent wire bonding machine
- Vol. 30, Issue 4, Pages: 134-137(2011)
- 作者机构：
  
  华南理工大学精密电子制造装备教育部工程研究中心自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.04.030
  CLC： TP391.41
- Published：2011
- 稿件说明：
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[1]张和颖,戚其丰,李浩.小波去噪在智能引线键合机图像处理中的应用[J].传感器与微系统,2011,30(04):134-137.

ZHANG He-ying, QI Qi-feng, LI Hao. Application of wavelet denoising in image process of intelligent wire bonding machine[J]. 2011, 30(4): 134-137.
[1]张和颖,戚其丰,李浩.小波去噪在智能引线键合机图像处理中的应用[J].传感器与微系统,2011,30(04):134-137. DOI： 10.13873/j.1000-97872011.04.030.

ZHANG He-ying, QI Qi-feng, LI Hao. Application of wavelet denoising in image process of intelligent wire bonding machine[J]. 2011, 30(4): 134-137. DOI： 10.13873/j.1000-97872011.04.030.

摘要

针对小波去噪中硬阈值法和软阈值法存在的缺陷

提出了一种新的多尺度自适应阈值选择算法

该方法根据小波变换的特点和噪声信号的3σ准则

对于不同的小波系数乘以一个与自身小波系数相关的降噪因子。在现有的图像去噪评估算法的基础上

提出了基于图像平滑度和匹配度的去噪效果评估算法。实验结果表明:多尺度自适应阈值选择算法能有效去除图像噪声

保留图像细节信息

性能上明显优于传统的软、硬阈值算法。

Abstract

Because of existing shortcomings in wavelet denoising for the hard-threshold and soft-threshold method

a new multi-scale adaptive algorithm on threshold selection is presented.According to the characteristics of wavelet transform and 3σ-rule in noise signal

a self-noise reduction factor is multiplied by different wavelet coefficients.A new algorithm assessment of image denoising based on matching degree and image smoothness is proposed on the existing assessments of denoising algorithms.Experimental results show that multi-scale adaptive algorithm on threshold selection can effectively remove the image noise

retaining the image details.It significantly superiors to the traditional soft and hard threshold algorithms.

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references

噪音强度的估计和去噪效果的评估 [J]. 王景泉. 计算机工程与设计 . 2009(07)

图像的小波分析去噪[J]. 边锋,陈兆峰,张士凯. 电脑应用技术. 2008 (03)

引线键合技术进展 [J]. 晁宇晴,杨兆建,乔海灵. 电子工艺技术 . 2007(04)

自适应阈值的小波图像去噪 [J]. 刘成云,陈振学,马于涛. 光电工程 . 2007(06)

基于边缘检测的小波阈值图像去噪 [J]. 徐亚明,刘冠兰,邢诚. 海洋测绘 . 2007(01)

一种新的基于小波变换的图像去噪方法 [J]. 陈木生. 光学技术 . 2006(05)

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