现代电子技术Issue(2)：34-37,4.
改进小波阈值去噪在PCB图像检测中的应用研究
Application of improved wavelet threshold denoising in PCB image detection
摘要
Abstract
In the application process of automated optical inspection (AOI) of printed circuit board (PCB) image,image denoising is the most vital step. In order to enhance contrast,dynamic range and definition of PCB images,an improved wavelet threshold denoising algorithm is proposed,which can perform wavelet decomposition for PCB images with noise,and then recon-struct PCB images based on pretreatment of the wavelet coefficients under the different scales according to the improved thresh-old method. The experimental results show that the root-mean-square error and peak signal-to-noise ratio value of this method are superior to those of traditional soft and hard threshold denoising method. It is an effective image filtering algorithm.关键词
自动光学检测/印刷电路板/图像去噪/小波变换Key words
AOI/printed circuit board/image denoising/wavelet transform分类
信息技术与安全科学引用本文复制引用
李丹,张鑫..改进小波阈值去噪在PCB图像检测中的应用研究[J].现代电子技术,2014,(2):34-37,4.基金项目
国家自然科学基金项目（51307003）；安徽省教育厅重点资助项目 （）
